AI in Drug Discovery Funding: A Quarter-by-Quarter Analysis

Everything we know about the AI in drug discovery market, in one place. Get our report whether you build or invest.
Summary
AI in drug discovery funding is booming at the top of the market, but the wider funding environment is nowhere near as explosive as the headline numbers suggest.
Total funding climbed from $185.3 million in Q2 2025 to $2.314 billion in Q2 2026, yet deal count ended exactly where it started, at 14. The market got dramatically bigger in dollars without funding more companies.
Q4 2025 was the strongest broad-market quarter. It combined the highest deal count, the highest median round and $335.9 million of funding after removing financings above $50 million, a level neither 2026 quarter matched.
The two record quarters in 2026 were mostly created by individual companies. Earendil Labs accounted for 65.4% of Q1 funding, while Isomorphic Labs alone represented 90.8% of Q2 capital.
That concentration has become extreme very quickly. The largest deal represented 19.5% of quarterly capital in Q4 2025, 65.4% in Q1 2026 and 90.8% in Q2.
The market is increasingly split between small startup rounds and enormous platform financings. Q2 2026 had nine deals below $20 million, only four between $20 million and $50 million, and then Isomorphic sitting by itself at $2.1 billion.
New AI drug discovery companies are still entering the market. First financings recovered to 28.6% of deals in Q2 2026, but those four companies raised only $19 million combined, while follow-on companies attracted almost all of the quarter's capital.
De Novo Design has the clearest sustained category momentum. Several companies have raised increasingly large rounds around models that directly design proteins, antibodies and small molecules, although Isomorphic's financing makes the latest capital share look more dominant than the underlying deal count really is.
Preclinical Prediction AI has moved in the opposite direction in relative terms. Companies in the category are still raising meaningful rounds, but their share of capital has steadily fallen as money shifts toward platforms that design molecules directly and increasingly control their own therapeutic pipelines.
Geography looks much more stable by company count than by dollars. North America still produced 57.1% of Q2 2026 deals, even though Europe captured 91.5% of capital because Isomorphic Labs happened to be based there.
The clearest change is therefore not that every AI drug discovery startup can suddenly raise much more money. A small set of validated platforms can now absorb financing at a scale that barely existed in this market a few quarters ago, while the early-stage ecosystem remains active and the middle of the market has become much less consistent.
Written by the New Market Pitch teamWe track new markets so founders and investors can move faster. About us

In our report covering the AI drug discovery market, you will always find fresh funding data, taken straight from our own verified funding database.
All funding deals in the AI in drug discovery market over the last years
Below is the table listing all the deals. You can find our methodology at the end of this page.
If you want a deeper understanding of the market and its current dynamics, get our report covering the AI In Drug Discovery Market.
| Company | Category | Date | Stage | Deal size | What they do | Region | Lead investors | Country |
|---|---|---|---|---|---|---|---|---|
| Enveda | AI Lead Generation | September 2026 | Series D+ | $311M | AI-enabled discovery of medicines from natural-product chemistry | North America | Catalio Capital Management | United States |
| Anew Labs | De Novo Design | September 2026 | Unknown | $290M | ByteDance spin-off building AI models for protein structure prediction and antibody design | Asia-Pacific | HSG; IDG Capital; Hillhouse Investment | China |
| AIPher (艾斐智药(北京)科技有限公司) | AI Lead Generation | September 2026 | Seed | ≈$14.9M | Builds AI-native drug-discovery models and agents for virtual screening, molecular discovery and preclinical candidate optimization. | Asia-Pacific | Xiang He Capital (襄禾资本) | China |
| Superluminal Medicines | De Novo Design | September 2026 | Series B | $60M | Uses AI/ML, protein dynamics and structural biology to design small-molecule therapeutics against difficult GPCR targets. | North America | BVF Partners, L.P. | United States |
| Axiom Therapeutics Inc. | AI Lead Optimization | August 2026 | Unknown | $12.3M | Uses quantum-accurate physics and machine learning to design and optimize covalent small-molecule drug candidates. | Europe | Not disclosed | United Kingdom |
| Aureka Biotechnologies | De Novo Design | August 2026 | Series B | $100M | Builds biological foundation models and closed-loop experimental systems for de novo therapeutic protein and antibody design. | North America | Granite Asia; Undisclosed strategic investor | United States |
| Engine Biosciences Pte. Ltd. | AI Target Discovery | August 2026 | Series B | $5M | Uses machine learning and high-throughput experimental biology to identify and validate oncology drug targets and biomarkers. | Asia-Pacific | GV | Singapore |
| Transcripta Bio | AI Drug Repurposing | July 2026 | Series A | $24M | Uses patient-derived transcriptomic signatures and machine learning to identify or repurpose compounds that reverse disease-state gene-expression patterns. | North America | Not disclosed | United States |
| Sightera Biosciences | De Novo Design | July 2026 | Seed | ≈$3.4M | Uses patient-derived drug-response data and generative AI to design novel small-molecule therapies for oncology and fibrosis. | Europe | Entourage; Anacura; Qbic | Belgium |
| Chai Discovery | De Novo Design | July 2026 | Series C | $400M | Builds AI foundation models and software that generate and optimize therapeutic molecules, including de novo antibodies and other biologics. | North America | Index Ventures | United States |
| Xellar Biosystems | Preclinical Prediction AI | June 2026 | Series A | ≈$29M | Combines organ-on-chip experiments, high-content imaging and AI to predict human drug efficacy, safety and treatment response before clinical trials. | North America | Not disclosed | United States |
| Graph Therapeutics | AI Target Discovery | June 2026 | Seed | $5M | Uses AI on live patient immune-cell perturbation and multi-omics data to identify therapeutic targets and biomarkers for inflammatory and immune-mediated diseases. | Europe | Daphni | Austria |
| Gero | AI Target Discovery | June 2026 | Series B | $17M | Uses physics-first AI and longitudinal human data to identify therapeutic targets and design small molecules for aging and chronic diseases. | Asia-Pacific | Not disclosed | Singapore |
| Protuoso Biosciences | De Novo Design | May 2026 | Seed | $9.5M | Uses AI-driven protein engineering, computational design and synthetic biology to design multifunctional MUXBODY biologic therapeutics. | North America | Taya Venture; Darwin Ventures | United States |
| 20n Bio | AI Lead Generation | May 2026 | Seed | $7.5M | Combines computational methods, high-throughput cyclic-peptide screening and AI-enabled optimization to identify and optimize therapeutic peptide binders. | North America | Not disclosed | United States |
| Isomorphic Labs | De Novo Design | May 2026 | Series B | $2.1B | Builds predictive and generative AI models in its drug-design engine to design small-molecule and biologic therapeutic candidates. | Europe | Thrive Capital | United Kingdom |
| Galux | De Novo Design | May 2026 | Growth Equity | ≈$1.4M | Uses its GaluxDesign AI platform to design de novo antibodies and other therapeutic proteins from first principles. | Asia-Pacific | Not disclosed | South Korea |
| Stoked Bio | AI Lead Generation | May 2026 | Seed | $2.5M | Uses a biology-first, AI-guided discovery process to identify small-molecule therapeutics for drug-resistant infections and cancer. | North America | Not disclosed | Canada |
| ALP Bio AG | Preclinical Prediction AI | April 2026 | Seed | $2.2M | Combines human immune organoids with generative AI to predict and mitigate immunogenicity and anti-drug-antibody risk during biologics development. | Europe | 42CAP | Switzerland |
| Aureka Biotechnologies | De Novo Design | April 2026 | Series A | $35M | Uses generative AI, biological foundation models and high-throughput functional screening to design novel therapeutic antibodies. | North America | HongShan | United States |
| Fathom Therapeutics | De Novo Design | April 2026 | Series A | $47M | Combines atomic-scale molecular simulation, quantum chemistry and AI to design novel small-molecule drug candidates. | North America | Sutter Hill Ventures | United States |
| 10x Science | Preclinical Prediction AI | April 2026 | Seed | $4.8M | Provides AI-native molecular characterization of protein therapeutics to assess and select drug candidates before clinical advancement. | North America | Initialized Capital | United States |
| Biossil Inc. | AI Drug Repurposing | April 2026 | Unknown | $43M | Uses AI and large-language-model analysis of failed drug programs to identify compounds suitable for new patient populations or indications. | North America | Founders Fund; OpenAI | Canada |
| Helical | AI Target Discovery | April 2026 | Seed | $10M | Provides a virtual AI lab that operationalizes biological foundation models for reproducible in-silico therapeutic target discovery and related early-discovery decisions. | Europe | redalpine | United Kingdom |
| Syneron Bio (元思生肽) | AI Lead Generation | March 2026 | Series B | $150M | Uses an AI-plus-high-throughput experimental platform to discover and optimize novel macrocyclic peptide drug candidates. | Asia-Pacific | Not disclosed (international life-science fund); Decheng Capital; CDH VGC | China |
| RyboDyn | AI Target Discovery | March 2026 | Seed | $10M | Uses AI-powered sequencing and discovery models to identify and validate previously hidden therapeutic targets in the dark transcriptome and proteome. | North America | Not disclosed | United States |
| Earendil Labs | De Novo Design | March 2026 | Unknown | $787M | Uses AI-driven protein modeling and experimental validation to design and advance novel antibody and biologic drug candidates. | Asia-Pacific | Not disclosed | China |
| Ternary Therapeutics | De Novo Design | March 2026 | Seed | ≈$4.8M | Combines physics-informed AI, molecular simulation and rapid experimental feedback to deliberately design molecular-glue therapeutics. | Europe | daphni | United Kingdom |
| Peak Perform Innova (Suzhou) Co., Ltd. (璞诺智药(苏州)生物科技有限公司) | AI Lead Generation | March 2026 | Seed | ≈$14M | Uses an AI platform centered on protein-protein interactions to identify druggable sites and generate small-molecule PPI inhibitors and degraders. | Asia-Pacific | Huagai Capital; BioTrack Capital | China |
| Antiverse | De Novo Design | March 2026 | Series A | $9.3M | Uses generative AI and wet-lab validation to design de novo therapeutic antibodies against difficult targets including GPCRs and ion channels. | Europe | Soulmates Ventures | United Kingdom |
| Tamarind Bio | De Novo Design | February 2026 | Series A | $12M | Provides cloud infrastructure for running and scaling molecular-AI models used in protein and small-molecule design, docking, and simulation. | North America | Dimension Capital | United States |
| Turbine | Preclinical Prediction AI | February 2026 | Series B | $25M | Provides AI virtual-cell and virtual-assay software that simulates biological experiments to prioritize drug-discovery hypotheses and predict preclinical outcomes. | Europe | Interactive Venture Partners | Hungary |
| Pharmacelera | AI Lead Generation | February 2026 | Series A | $7.1M | Provides AI- and quantum-mechanics-based virtual screening and molecular-design software and services from hit identification through lead optimization. | Europe | Heran Partners | Spain |
| Peptris Technologies | De Novo Design | February 2026 | Series A | $7.7M | Uses generative AI to design and optimize novel preclinical small molecules, alongside repurposing and candidate-rescue programs. | Asia-Pacific | IAN Alpha Fund; Speciale Invest | India |
| Sable Bio | Preclinical Prediction AI | February 2026 | Seed | $3.8M | Provides AI software that predicts target and candidate safety risks during drug discovery and preclinical assessment. | Europe | MMC Ventures | United Kingdom |
| Galux | De Novo Design | February 2026 | Series B | $29M | Develops an AI- and physics-driven platform for de novo design of therapeutic proteins and antibodies. | Asia-Pacific | Not disclosed | South Korea |
| Converge Bio | AI Lead Generation | January 2026 | Series A | $25M | Provides generative-AI systems for target discovery, antibody generation and design, and related drug-discovery workflows. | Middle East | Bessemer Venture Partners | Israel |
| Proxima | De Novo Design | January 2026 | Seed | $80M | Combines structural-proteomics data with generative AI to design proximity therapeutics including molecular glues and PROTAC-like molecules. | North America | DCVC | United States |
| Topos Bio | De Novo Design | January 2026 | Seed | $10.5M | Builds an AI-native platform that models intrinsically disordered proteins and uses generative chemistry to design small-molecule modulators. | North America | Boldstart Ventures; Threshold Ventures | United States |
| Boltz PBC | De Novo Design | January 2026 | Seed | $28M | Builds biomolecular AI models and agentic software for small-molecule hit discovery, structure/affinity prediction and protein or molecule design. | North America | Amplify Partners; Andreessen Horowitz (a16z); Zetta Venture Partners | United States |
| PHIL RIVERS TECHNOLOGY Co., Ltd. (Beijing Zheyuan Technology Co., Ltd.) | AI Target Discovery | December 2025 | Series A | ≈$14.2M | Uses AI and computational disease models to discover novel therapeutic targets and mechanisms and generate proprietary drug assets. | Asia-Pacific | CAS Investment | China |
| Chai Discovery | De Novo Design | December 2025 | Series B | $130M | Builds generative AI models and molecular-design tools for de novo creation of therapeutic antibodies and other drug-like molecules. | North America | General Catalyst; Oak HC/FT | United States |
| Syneron Bio (元思生肽) | AI Lead Generation | December 2025 | Series A | ≈$100M | Combines an AI drug-discovery engine with an intelligent high-throughput platform to design and advance macrocyclic peptide therapeutics. | Asia-Pacific | AstraZeneca; AZ-CICC Healthcare Investment Fund | China |
| PsiThera | AI Lead Generation | December 2025 | Series A | $47.5M | Uses molecular dynamics and AI through its QUAISAR platform to generate oral small-molecule candidates against validated immune and inflammatory targets. | North America | Samsara Biocapital; Lightstone Ventures | United States |
| Relation Therapeutics | AI Target Discovery | December 2025 | Seed | $26M | Uses a lab-in-the-loop AI and patient multi-omics platform to uncover causal disease genes and prioritize and refine therapeutic targets. | Europe | DCVC; NVentures; Magnetic Ventures | United Kingdom |
| ChemLex | AI Lead Generation | December 2025 | Series A | $45M | Uses AI and autonomous high-throughput chemistry to design synthetic routes, optimize reactions, generate drug-like molecules, and accelerate small-molecule discovery. | Asia-Pacific | Granite Asia | Singapore |
| immunitoAI | De Novo Design | November 2025 | Series A | $6.1M | Uses generative AI with in-house biological validation to design novel therapeutic antibodies with predefined drug properties. | Asia-Pacific | Ashish Kacholia | India |
| Arpeggio Biosciences, Inc. | AI Target Discovery | November 2025 | Series B | $20M | Combines high-throughput transcriptomics with machine learning to map drug-induced gene-expression changes and discover therapeutic targets and mechanisms. | North America | Not disclosed | United States |
| AI Proteins | De Novo Design | November 2025 | Series A | $41.5M | Uses AI-enabled de novo protein design and high-throughput discovery to create purpose-built miniprotein therapeutics. | North America | Mission BioCapital; Santé Ventures | United States |
| Model Medicines, Inc. | De Novo Design | November 2025 | Unknown | $3.3M | Uses AI to model chemistry and human biology to discover and optimize novel small-molecule therapeutics. | North America | Not disclosed | United States |
| Scripta Therapeutics | AI Target Discovery | November 2025 | Seed | $12M | Combines AI, imaging and patient-derived biological models to identify disease-modifying therapeutic targets from transcriptional biology. | Europe | Oxford Science Enterprises; Apollo Health Ventures | United Kingdom |
| TandemAI | AI Lead Optimization | November 2025 | Series A | $22M | Operates an integrated AI, physics and wet-lab platform spanning hit discovery through lead optimization and preclinical candidate selection. | North America | V-Capital; KHK Fund | United States |
| Iambic Therapeutics | De Novo Design | November 2025 | Series B | >$100M | Uses physics-informed AI and automated experimentation to design and optimize small-molecule therapeutics through preclinical candidate selection. | North America | Not disclosed | United States |
| Aureka Biotechnologies | De Novo Design | November 2025 | Series A | $23.2M | Uses generative AI, digital biology and high-throughput experimentation to design and optimize protein and antibody therapeutics. | North America | 5Y Capital; Qiming Venture Partners | United States |
| Expedition Medicines | De Novo Design | October 2025 | Series A | $50M | Uses generative AI, quantum chemistry and chemoproteomic data to de novo design covalent small-molecule drugs against difficult protein targets. | North America | Flagship Pioneering | United States |
| Bexorg | Preclinical Prediction AI | October 2025 | Series A | $23M | Combines whole-human brain experiments with AI models to generate clinically predictive preclinical data for CNS target validation and candidate assessment. | North America | Engine Ventures | United States |
| Meta-Flux | Preclinical Prediction AI | October 2025 | Seed | $2M | Provides an AI biologist that simulates multi-omic disease biology to predict drug behavior and support preclinical target, biomarker and go/no-go decisions. | Europe | Not disclosed | Ireland |
| Tres Alchemix | Preclinical Prediction AI | September 2025 | Series A | $4.4M | Combines multi-omic data, AI and quantum-chemical calculations to predict therapeutic effects, adverse effects and drug behavior before candidate selection. | Asia-Pacific | DNX Ventures | Japan |
| DaltonTx | AI Lead Optimization | September 2025 | Seed | ≈$5.4M | Builds adaptive AI infrastructure that connects models, experimental data and scientific workflows to design and optimize therapeutic candidates. | Europe | redalpine; IQ Capital Partners | United Kingdom |
| Manas AI | De Novo Design | September 2025 | Seed | $26M | Builds neuro-symbolic and generative AI models to identify disease targets and design new therapeutic molecules. | North America | Not disclosed | United States |
| Enveda | AI Lead Generation | September 2025 | Series D+ | $150M | Uses machine learning and metabolomics to identify and characterize natural molecules and turn them into small-molecule drug candidates. | North America | Premji Invest | United States |
| CHARM Therapeutics | De Novo Design | September 2025 | Series B | $80M | Uses structural AI and protein-ligand co-folding models to design novel small-molecule therapeutics against difficult targets. | Europe | New Enterprise Associates (NEA); SR One | United Kingdom |
| Therna Biosciences | De Novo Design | August 2025 | Seed | $10M | Uses generative AI and RNA foundation models to design programmable RNA therapeutics with tailored stability, expression and tissue targeting. | North America | AIX Ventures; Pear VC; Fusion Fund | United States |
| Ribopeutic / Libo (Hangzhou) Biotechnology Co., Ltd. | AI Target Discovery | August 2025 | Unknown | ≈$13.9M | Uses RNA language models and wet-lab validation to identify druggable RNA structures and discover and optimize RNA-targeting small molecules. | Asia-Pacific | Tasly Capital; Panlin Capital | China |
| Tahoe Therapeutics | Preclinical Prediction AI | August 2025 | Series A | $30M | Generates large-scale single-cell perturbation data and virtual-cell AI models to predict drug responses and support precision drug discovery. | North America | Amplify Partners | United States |
| Chai Discovery | De Novo Design | August 2025 | Series A | $70M | Builds frontier AI models for molecular interaction prediction and fully de novo therapeutic and antibody design. | North America | Menlo Ventures | United States |
| Synfini | AI Lead Optimization | July 2025 | Seed | $8.9M | Provides an AI-and-robotics drug-discovery foundry that designs, synthesizes, tests, and optimizes small-molecule candidates from target through preclinical lead. | North America | JSL Health Capital | United States |
| Healx | AI Drug Repurposing | July 2025 | Series C | $2M | Uses AI to identify disease targets and repurpose existing compounds into treatments for rare and underserved conditions. | Europe | SCI Ventures | United Kingdom |

In our research about AI drug discovery, we turn what is vague and complex into simple, useful visuals. Market maps like this one show you at a glance where every startup stands.
Is AI drug discovery funding actually booming right now?
AI drug discovery funding looks much hotter in headline dollars than it does across the wider market today.
Across the five quarters we studied, total funding climbed from $185.3M in Q2 2025 to $400.6M, $665.9M, $1.203B and finally $2.314B. Read on its own, that looks like a market going vertical.
The rest of the numbers tell a less spectacular story. Deal count started at 14, peaked at 17 in Q4 2025 and finished back at 14. The median round rose from $7.35M to $23.2M by Q4, then dropped to $13M and $9.75M. Once we remove rounds above $50M, funding moves from $185.3M to $100.6M, $335.9M, $186.2M and $213.9M.
The big change has been at the very top of the market. Earendil Labs lifted Q1 2026 dramatically, then Isomorphic Labs pushed Q2 to a completely different scale. Ordinary funding activity has been much choppier.
There is also one useful timing caveat in Q2 2025. Sortera Bio announced its £7.5M pre-seed financing in June 2025, but the company's announcement says the round had actually closed in May 2024. Excluding it would reduce Q2 2025 to roughly $175M and 13 deals, without changing the overall picture.
| Quarter | Deals | Total funding | Funding ex >$50M | Median round |
|---|---|---|---|---|
| Q2 2025 | 14 | $185.3M | $185.3M | $7.35M |
| Q3 2025 | 11 | $400.6M | $100.6M | $13.9M |
| Q4 2025 | 17 | $665.9M | $335.9M | $23.2M |
| Q1 2026 | 16 | $1.203B | $186.2M | $13.0M |
| Q2 2026 | 14 | $2.314B | $213.9M | $9.75M |
Which quarter was the real high point for AI drug discovery funding?
Q4 2025 was the strongest broad-based quarter for AI drug discovery funding in our five-quarter study.
It had the most deals at 17, the highest median financing at $23.2M and $335.9M of capital after removing rounds above $50M. That last figure was almost three times Q3's underlying funding and remained comfortably above both 2026 quarters.
The middle of the market was unusually strong too. Eight Q4 financings landed between $20M and $50M. AI Proteins raised $41.5M, Aureka Biotechnologies raised $23.2M, TandemAI raised $22M and Arpeggio Biosciences recorded roughly $20M. There was real depth across several companies instead of most of the money sitting in one blockbuster deal.
Larger financings still mattered. Chai Discovery raised $130M and Syneron Bio disclosed nearly $100M across its Series A and A+ closes. Yet Q4's biggest deal accounted for only 19.5% of the quarter, far below what happened next.
That is why Q4 stands out as the broad-market peak. The 2026 quarters brought more dollars, while fewer of those dollars reached the middle of the market.
Why did AI drug discovery funding jump in Q3 2025 even as deals fell?
Q3 2025 AI drug discovery funding jumped because three large follow-on rounds absorbed most of the capital even as fewer companies raised.
Deal count dropped from 14 to 11, but total funding more than doubled to $400.6M. Enveda raised $150M, CHARM Therapeutics raised $80M and Chai Discovery raised $70M. Together, those three financings represented 74.9% of the quarter.
There was still a genuine change underneath. The median round nearly doubled to $13.9M, while later-stage deals rose from 7.1% to 27.3% of activity. First financings also fell from 28.6% to 18.2%. Investors were putting more money behind companies that had already raised and progressed further.
The breadth was weak, though. Remove financings above $50M and Q3 funding falls to $100.6M, down 45.7% from Q2. Q3 looks much more like a shift toward bigger follow-on checks than the beginning of a market-wide surge.

In our market report about AI drug discovery, we always try to gather several sources and make estimates that make sense, so you can work with solid numbers.
Did AI drug discovery funding keep getting stronger in Q1 2026?
Q1 2026 AI drug discovery funding looked stronger on the surface, while the underlying market softened from Q4.
Headline capital jumped 81% to $1.203B. At the same time, deal count slipped from 17 to 16, the median round fell 44% and funding below the $50M threshold dropped to $186.2M.
Earendil Labs explains most of the difference. The company announced $787M in financing, equivalent to 65.4% of all Q1 capital in our calculations. Its own announcement described the amount as "$787 million in financing rounds," plural, without splitting those rounds by date or amount. We therefore treat the quarter's headline total with extra care.
Earendil was already operating at a very different level from a young discovery startup. The company said its AI platform had generated more than 40 biologics programs, with one antibody ready for Phase II development and further IND submissions planned. Syneron Bio added another $150M Series B, primarily to advance its macrocyclic-peptide platform and pipeline toward clinical development.
Q1 still contained healthy early-stage activity. Seed deals became more common and first financings started recovering. The funding distribution simply became much more skewed toward the few platforms already capable of absorbing very large amounts of capital.
Was Q2 2026's AI drug discovery funding record basically just Isomorphic Labs?
Q2 2026's AI drug discovery funding record was overwhelmingly an Isomorphic Labs event.
Isomorphic Labs raised $2.1B in Series B funding, representing 90.8% of all capital we recorded for the quarter. The company said the money would scale its AI drug-design engine globally and advance therapeutic programs toward the clinic.
Without that financing, Q2 falls from $2.314B to roughly $214M. That is still a modest improvement from Q1's funding below the $50M threshold, but it sits well below the broad Q4 2025 level.
The rest of the quarter looked much more ordinary. Aureka Biotechnologies raised $35M, Xellar Biosystems raised roughly $29M and Biossil raised $43M. Deal count declined from 16 to 14, while the median round fell to $9.75M.
So Q2 really had two markets running at once: normal venture activity across a group of smaller companies and one financing so large that it completely changed the chart.
Is AI drug discovery funding now concentrating around a few winners?
AI drug discovery capital is clearly concentrating around a smaller group of heavily funded platforms right now.
The biggest deal represented 19.5% of Q4 2025 funding, then 65.4% in Q1 2026 and 90.8% in Q2. Top-three concentration moved from 49.6% to 84.5% and then 94.6%.
The companies changed. Chai Discovery led Q4, Earendil dominated Q1 and Isomorphic Labs dominated Q2. We are seeing repeated concentration at the top rather than one company repeatedly raising every quarter.
There are signs that the pattern is continuing beyond our measurement window. Chai Discovery subsequently announced a $400M Series C, Aureka Biotechnologies closed a $100M Series B and Superluminal Medicines raised a $60M Series B. We keep those later rounds outside the quarterly calculations, but they reinforce the current appetite for companies that have moved from interesting AI technology toward scaled drug-development platforms.
The 90.8% Isomorphic share is obviously the extreme case. The broader shift is that investors now appear comfortable putting unusually large amounts of money behind a relatively small number of platforms once they reach the right level of scientific and commercial validation.
| Quarter | Largest deal share | Top 3 share | Top 5 share | Capital from >$50M |
|---|---|---|---|---|
| Q2 2025 | 27.0% | 62.1% | 80.4% | 0% |
| Q3 2025 | 37.4% | 74.9% | 88.9% | 74.9% |
| Q4 2025 | 19.5% | 49.6% | 64.2% | 49.6% |
| Q1 2026 | 65.4% | 84.5% | 89.3% | 84.5% |
| Q2 2026 | 90.8% | 94.6% | 97.4% | 90.8% |

Our document detailing everything you need to know about AI drug discovery gets updated several times a month, so you always get the latest view of where things stand.
Are investors writing bigger AI drug discovery checks, or is the market splitting in two?
AI drug discovery checks are getting much bigger at the top, while ordinary rounds have actually shrunk since Q4 2025.
The clearest evidence comes from the deal-size distribution. Q4 had eight financings between $20M and $50M, almost half of all deals that quarter. By Q2 2026, four deals were below $5M, five were between $5M and $20M, four were between $20M and $50M, and Isomorphic sat alone above $100M.
The market is starting to look barbell-shaped. New companies can still raise a few million dollars. Proven platforms can raise hundreds of millions or even billions. The awkward part is the space in between, where financing breadth has stopped expanding.
This also makes the average round almost useless on its own. The Q2 2026 average reached roughly $165M, yet the median was below $10M. Most companies obviously were not raising anything close to $165M.
These days, the largest few deals tell us how much investors trust the winners. The median and the $20M–$50M bucket tell us much more about the health of everybody else.
| Quarter | <$5M deals | $5M–<$20M | $20M–<$50M | $50M+ |
|---|---|---|---|---|
| Q2 2025 | 7 | 3 | 3 | 1 |
| Q3 2025 | 2 | 4 | 2 | 3 |
| Q4 2025 | 2 | 3 | 8 | 4 |
| Q1 2026 | 2 | 7 | 4 | 3 |
| Q2 2026 | 4 | 5 | 4 | 1 |
Is De Novo Design really becoming the hottest part of AI drug discovery?
De Novo Design has the clearest sustained momentum in AI drug discovery funding today.
The category accounted for 35.7% of deals in Q2 2025, 36.4% in Q3, 41.2% in Q4 and 56.3% in Q1 2026. Its capital share also climbed sharply as investors backed companies building models that directly design new proteins, antibodies and small molecules.
Several companies make the trend easy to see. Chai Discovery moved from a $70M Series A in Q3 2025 to a $130M Series B in Q4. AI Proteins raised $41.5M to advance de novo miniprotein therapeutics. Boltz launched with $28M in Q1 2026 around biomolecular models and drug-design software. Isomorphic then produced the enormous Q2 financing.
The latest quarter needs one qualification. De Novo Design's deal share actually fell from 56.3% in Q1 to 35.7% in Q2, even as its capital share reached 94.8%. That capital figure mostly reflects Isomorphic rather than five different companies suddenly raising billion-dollar rounds.
Fresh activity after June strengthens the longer-term category case. Chai later raised $400M, Aureka raised $100M to expand its biological foundation models and closed-loop discovery system, and Superluminal raised $60M to move an AI-designed GPCR program toward the clinic. Those later deals suggest De Novo Design remains one of the areas where investors are most willing to fund the jump from models to actual drug programs.

In our report covering the AI drug discovery market, we look at what the winners do differently, so you can learn from the best instead of guessing.
Is AI Lead Generation losing investor attention?
AI Lead Generation lost real momentum in Q2 2026, although the category has been too volatile to call it a structural decline yet.
Its earlier funding path was unusually uneven. In Q3 2025, Lead Generation represented only one deal but 37.4% of all capital because Enveda raised $150M. By Q4, three companies raised money, and the category expanded again to four deals in Q1 2026.
That Q1 breadth looked more convincing because it included several companies rather than one oversized financing. Syneron Bio's $150M Series B also showed that investors were prepared to fund AI-enabled discovery platforms once they had a deeper experimental engine and a pipeline moving toward the clinic.
Then Q2 went quiet. Lead Generation fell to two deals, a $5M median round and only 0.4% of quarterly capital.
For now, that looks like a sharp latest-quarter reversal rather than proof that investors have moved on. The category has changed direction too often over five quarters to support a stronger claim.
Are investors cooling on Preclinical Prediction AI?
Preclinical Prediction AI is still producing deals, but investors are giving the category less capital relative to the rest of AI drug discovery.
Its funding intensity falls every quarter in our calculations, from 2.30 in Q2 2025 to 0.47, 0.32, 0.19 and finally 0.07. In plain English, the category keeps appearing in the deal count while taking a progressively smaller share of total dollars.
There are still meaningful financings. Vivodyne raised $40M around its lab-grown human tissue, robotics and predictive-AI platform. Bexorg raised $23M in fresh Series A capital to scale an AI-plus-whole-human-brain approach to CNS development. Turbine closed a $25M Series B around virtual-cell modeling, while Xellar Biosystems raised roughly $29M in Q2 2026.
Those are substantial venture rounds. They just look smaller next to the money flowing into platforms that design molecules directly and own increasingly mature therapeutic pipelines.
This is one of the clearer multi-quarter changes in the category data: activity remains alive, while relative capital intensity has steadily faded.
Are AI drug discovery investors moving toward older, later-stage companies?
AI drug discovery investors are still funding young companies heavily by count, while the biggest checks increasingly go to more mature platforms.
Seed and Series A together remain the majority of deals throughout the period. Early-stage companies represent between 63.6% and 78.6% of all financings in every quarter we studied. Q2 2026 actually had seven Seed deals, equal to half of the quarter's transactions.
Company age tells a similar story. Median age moves from four years in Q2 2025 to two, four, 3.5 and three years. We found no steady march toward older companies. First-financing companies are even younger, generally around one to two years old.
The maturity shift is much clearer in dollars. Earendil's financing came with more than 40 programs already generated by its platform and clinical development underway. Isomorphic's proceeds were earmarked partly for advancing therapeutic programs toward the clinic. Syneron's $150M financing was tied to pushing its macrocyclic-peptide pipeline into clinical development.
The market is funding two quite different stages at once. Young AI drug discovery startups keep entering at Seed and Series A, while the largest pools of capital increasingly sit with companies that can show a credible path from AI models to actual medicines.

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Are brand-new AI drug discovery startups still getting funded?
Brand-new AI drug discovery startups are getting funded again, but they are raising small rounds.
First-financing share fell from 28.6% in Q2 2025 to 18.2% in Q3 and just 11.8% in Q4. It then recovered to 18.8% in Q1 2026 and 28.6% in Q2.
That recovery is visible in companies such as 10x Science, which raised $4.8M to build AI-native protein-characterization tools, ALP Bio, which raised $2.2M around immune organoids and generative AI, and Stoked Bio, which raised $2.5M around AI-guided drug discovery.
The money attached to those new entrants remains small. Four first financings in Q2 2026 raised only $19M combined, with a $3.65M median. Follow-on companies raised $2.295B, with a $23M median.
The startup pipeline therefore looks healthier by number of companies than by dollars. Investors are still willing to fund new teams, but the really large checks currently require much more proof.
Is North America losing ground in AI drug discovery funding?
North America still looks like the deepest AI drug discovery funding market by deal count today.
North American companies represented 43% to 59% of all deals in four of the five quarters. That pattern is much steadier than the capital numbers, which swing wildly depending on where the quarter's biggest company happens to be based.
Asia-Pacific captured 82.1% of Q1 2026 capital largely because Earendil and Syneron were recorded there. Europe then jumped to 91.5% in Q2 after London-based Isomorphic Labs raised $2.1B.
The company count barely supports such a dramatic geographic rotation. In Q2, North America still produced 57.1% of the deals even though it received only 7.7% of the capital.
For anyone trying to understand where the ecosystem is deepest, deal count currently gives a cleaner picture than quarterly dollars. Giant rounds make capital geography look far more unstable than the underlying company base really is.
Are the same VCs and pharma investors taking over AI drug discovery funding?
AI drug discovery capital is concentrating by company, but the investor base itself remains fairly broad. Pharma strategics are the group becoming more visible.
We found no disclosed lead investor appearing twice within the same quarter. Across the full five-quarter period, only a handful of names recur as disclosed leads or co-leads, including DNX Ventures, AIX Ventures, redalpine, Amplify Partners and DCVC. Each appears only twice. Q4 2025 alone had roughly 22 unique disclosed leads.
Strategic investors show a more directional change. Strategic-backed deals rose from 7.1% of activity in Q2 2025 to 27.3% in Q3 and 35.3% in Q4. The share later moderated, but the checks became much larger. The median strategic-backed round reached $73.75M in Q4 and $115M in Q1 2026.
The companies involved help explain why. Sortera Bio brought in AstraZeneca and BioNTech. Syneron had AstraZeneca among its existing investors. Earendil's investor group included Sanofi and a biotech fund created by Hillhouse and Pfizer. More recently, Superluminal's Series B again included existing investors NVIDIA and Eli Lilly.
Pharma and corporate investors appear most interested once an AI platform starts connecting directly to experimental validation, development programs and clinical assets. That pattern looks more durable than any concentration among traditional venture leads.
| Quarter | Strategic-backed deals | Share of deals | Median strategic-backed round |
|---|---|---|---|
| Q2 2025 | 1 | 7.1% | $10.2M |
| Q3 2025 | 3 | 27.3% | $13.9M |
| Q4 2025 | 6 | 35.3% | $73.75M |
| Q1 2026 | 4 | 25.0% | $115M |
| Q2 2026 | 3 | 21.4% | $43M |

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What is the AI drug discovery funding trend actually telling us?
AI drug discovery funding has become much bigger at the top without becoming equally stronger across the full market. The record totals in 2026 say more about how much investors will pay for a few validated platforms than about the typical company raising money today.
Q4 2025 remains the best example of broad funding strength. It combined more deals, larger normal rounds and the deepest $20M–$50M financing cohort. The market has yet to reproduce that breadth.
Capital concentration is now hard to ignore. Three successive quarters were led by Chai Discovery, Earendil Labs and Isomorphic Labs, with the dominant company taking a larger share each time. Recent financings after our measurement window suggest investors still have a strong appetite for large platform-scale rounds.
The early-stage ecosystem remains active. Seed and Series A deals continue to dominate by number, and first financings recovered in 2026. The tension is further up the funding ladder, where the middle of the market looks less consistent than either small startup rounds or giant scale-up rounds.
De Novo Design currently has the clearest category momentum. The trend spans several companies and has continued beyond the end of our quarterly window, which gives us more confidence in it than categories whose performance depends heavily on one quarter.
Strategic capital also looks more important than it did at the beginning of the period. Pharma companies are increasingly showing up around platforms that already combine AI with experimental systems, proprietary pipelines and a credible route into clinical development.
The most misleading takeaway would be that AI drug discovery funding simply went from $185M to $2.3B and therefore became more than ten times stronger. What actually happened is more interesting: a functioning early-stage market continued underneath, the middle expanded sharply and then cooled, and a small number of platforms became capable of raising amounts that barely existed in this market a few quarters earlier.
Our methodology
This analysis tracks AI drug discovery fundraising from April 1, 2025 through June 30, 2026, covering five complete quarters. We built the dataset to understand how funding changed underneath the headline totals rather than relying on the figures published by any single funding database.
We included qualifying private-company equity financings announced during the period when AI-enabled drug discovery represented the company's overwhelming core business. Debt, grants, loans, public offerings, unconverted convertibles and SAFEs were excluded, as were transactions where the equity component could not be isolated with enough confidence.
Each financing was treated as a separate deal, while duplicate reports of the same transaction were consolidated. Extensions, additional closes and tranches were reviewed individually. When an announcement referred to cumulative funding rather than fresh capital, we used the amount that could actually be attributed to the transaction. Bexorg's Series A, for example, is recorded at $23M in fresh capital rather than the $42.5M cumulative figure announced alongside it.
We recorded round dates, stages, investors, company age, previous financings, milestones and use of funds only when public evidence supported them. We did not infer stages from round sizes, assume that a prominent participating investor was the lead, or estimate undisclosed financing amounts.
Two unusual records were kept visible rather than silently normalized. Sortera Bio announced its £7.5M financing in June 2025 while stating that the round had closed in May 2024. Earendil Labs described its $787M as capital raised across "financing rounds" without publicly breaking those rounds down by date and amount. Those limitations are reflected in the interpretation of the quarterly totals.
After compiling the financing records, we ran a separate quality-control pass covering quarter boundaries, equity eligibility, market fit, duplicate transactions, cumulative-versus-incremental amounts and missed financings. Quarter-level figures such as medians, stage mix, first-financing share, concentration ratios, deal-size buckets and funding excluding rounds above $50M were then calculated from the resulting 72 qualifying financing records.
More recent financings were reviewed separately so that references to the market today did not stop at June 2026. Those later transactions provide current context only and are not added retroactively to the five-quarter dataset.
We prioritized company and investor announcements, primary transaction sources, regulatory or government records where relevant, reputable financial and industry media, and established funding databases used for cross-checking. Key sources include Isomorphic Labs on its $2.1B Series B, Earendil Labs on its $787M financing and pipeline, Syneron Bio on its $150M Series B, Chai Discovery on its $70M Series A, Chai Discovery on its $130M Series B, Chai Discovery on its later $400M Series C, Sortera Bio on its £7.5M financing and closing date, AI Proteins on its $41.5M Series A, Boltz on its $28M launch financing, Vivodyne on its $40M Series A, Bexorg on its Series A and cumulative funding, Turbine on its $25M Series B, and Superluminal Medicines on its later $60M Series B.

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