What are the most valued startups in the AI in drug discovery market?
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In our AI in drug discovery market deck, you will find everything you need to understand the market
AI in drug discovery has become a large and diverse market, spanning foundation models, molecular design, protein engineering, target discovery, computational biology and AI-enabled therapeutics.
This page tracks the most valuable companies in the AI in drug discovery market and ranks them using their latest reported or estimated valuations.
We update this list every month so the ranking reflects new funding rounds, public-market movements, acquisitions and other valuation signals.
And if you want to better understand this new industry, you can download our pitch covering the AI in drug discovery market.
A quick summary table
| Metric | Value |
|---|---|
| Most valuable AI drug discovery startup | Isomorphic Labs, $14.0B–$26.3B |
| Second most valuable AI drug discovery startup | HeliXon, $4.5B–$5.5B, tied around a $5.0B midpoint with Parabilis Medicines |
| Median AI drug discovery valuation | About $268M |
| Share of AI drug discovery valuation captured by the top 10 | About 57% |
| Top AI drug discovery valuation vs. median | About 75x, using valuation midpoints |
| Median AI drug discovery valuation-to-capital-raised ratio | About 3.3x |
| AI drug discovery startups valued at $1B+ | 26, using valuation midpoints |

This market map, featured in our AI in drug discovery market deck, highlights top companies and startups in the AI in drug discovery market
Top startups in the AI in drug discovery market ranked by valuation
Here is an updated table that ranks the top startups in the AI in drug discovery market based on their latest reported or estimated valuations.
If you want more details about their fundraising activity, you can check our list of the startups who have raised the most funding in the AI in drug discovery market.
| # | Startup Name | What They Do | Current Valuation ($) | Valuation Confidence Level | Valuation Type | Evidence Status | Total Funding ($) | Funding Confidence Level |
|---|---|---|---|---|---|---|---|---|
| 1 | Isomorphic Labs | AI-first drug design platform | $14.0B–$26.3B | Partial Confidence | Implied Valuation from Raise | Implied | $2.7B | Strong Confidence |
| 2 | HeliXon | AI-designed antibodies and biologics | $4.5B–$5.5B | Partial Confidence | IPO or Listing Range Valuation | Estimated | $871.6M* | Partial Confidence |
| 3 | Parabilis Medicines | Helicon peptides for undruggable cancers | $5.0B | Full Confidence | Public Market Cap | Observed | $888M | Strong Confidence |
| 4 | Relay Therapeutics | AI-guided precision small-molecule medicines | $4.1B | Full Confidence | Public Market Cap | Observed | $520M | Strong Confidence |
| 5 | XtalPi | AI and robotic drug discovery | $4.0B | Full Confidence | Public Market Cap | Observed | $1.2B | Strong Confidence |
| 6 | Chai Discovery | AI foundation models for molecules | $3.8B | Full Confidence | Announced Private Round Valuation | Observed | $630M | Strong Confidence |
| 7 | AbCellera | AI-enabled antibody drug discovery | $3.7B | Full Confidence | Public Market Cap | Observed | $247M | Strong Confidence |
| 8 | Insilico Medicine | Generative AI drug discovery platform | $3.3B | Full Confidence | Public Market Cap | Observed | $524M | Strong Confidence |
| 9 | Pathos AI | AI-driven oncology drug development | $2.8B–$3.2B | Strong Confidence | Active Raise Valuation | Observed | $457M | Strong Confidence |
| 10 | Xaira Therapeutics | AI-enabled therapeutic drug development | $2.4B–$3.0B | Partial Confidence | Comparables-Based Estimate | Estimated | $1.0B | Strong Confidence |
| 11 | insitro | Machine-learning driven drug discovery | $2.2B–$3.0B | Partial Confidence | Comparables-Based Estimate | Estimated | $643M | Strong Confidence |
| 12 | BioMap | Biological foundation models for discovery | $1.8B–$2.6B | Partial Confidence | IPO or Listing Range Valuation | Estimated | $100.1M | Strong Confidence |
| 13 | Generate:Biomedicines | Generative AI protein therapeutics | $2.0B | Full Confidence | Public Market Cap | Observed | $708M | Strong Confidence |
| 14 | METiS Therapeutics | AI-powered drug delivery development | $1.9B | Full Confidence | Public Market Cap | Observed | $306M | Strong Confidence |
| 15 | Soley Therapeutics | AI cellular-stress drug discovery | $1.3B–$2.5B | Partial Confidence | Implied Valuation from Raise | Implied | ~$290M | Partial Confidence |
| 16 | Recursion Pharmaceuticals | Automated AI-driven drug discovery | $1.8B | Full Confidence | Public Market Cap | Observed | $480M | Strong Confidence |
| 17 | Absci | Generative AI biologic drug design | $1.5B | Full Confidence | Public Market Cap | Observed | $228M | Strong Confidence |
| 18 | Maze Therapeutics | Precision medicines for genetic diseases | $1.5B | Full Confidence | Public Market Cap | Observed | $496M | Strong Confidence |
| 19 | Odyssey Therapeutics | Precision immunology autoimmune therapeutics | $1.3B | Full Confidence | Public Market Cap | Observed | $700M | Strong Confidence |
| 20 | Cellarity | AI cell-state correcting medicines | $900M–$1.5B | Partial Confidence | Comparables-Based Estimate | Estimated | $294M | Strong Confidence |
| 21 | Terray Therapeutics | AI-native small-molecule drug discovery | $900M–$1.5B | Partial Confidence | Implied Valuation from Raise | Estimated | $200M | Strong Confidence |
| 22 | Owkin | AI models for biomedical research | $1.0B–$1.4B | Partial Confidence | Comparables-Based Estimate | Estimated | $304M | Strong Confidence |
| 23 | Enveda Biosciences | AI discovers medicines from nature | $1.0B–$1.3B | Strong Confidence | Announced Private Round Valuation | Estimated | $517M | Strong Confidence |
| 24 | EvolutionaryScale | Generative AI for protein design | $900M–$1.4B | Low Confidence | Acquisition Value | Estimated | $145M | Strong Confidence |
| 25 | Immunai | Maps immunity for drug development | $900M–$1.2B | Partial Confidence | Comparables-Based Estimate | Estimated | $307M | Strong Confidence |
| 26 | Deep Genomics | AI-designed RNA genetic medicines | $700M–$1.3B | Low Confidence | Comparables-Based Estimate | Estimated | ~$237M | Partial Confidence |
| 27 | Superluminal Medicines | AI-designed GPCR small-molecule drugs | $700M–$1.0B | Partial Confidence | Implied Valuation from Raise | Implied | $158M | Strong Confidence |
| 28 | Genesis Therapeutics | AI molecular design for therapeutics | $780M–$850M | Strong Confidence | Announced Private Round Valuation | Estimated | $340M | Strong Confidence |
| 29 | Cradle | AI protein engineering platform | $550M–$850M | Partial Confidence | Implied Valuation from Raise | Implied | ~$103M | Partial Confidence |
| 30 | Iambic Therapeutics | AI-designed oncology drug development | $640M–$700M | Strong Confidence | Announced Private Round Valuation | Estimated | $337M | Strong Confidence |
| 31 | Valo Health | Human-data AI drug discovery | $500M–$800M | Low Confidence | Comparables-Based Estimate | Estimated | $400M | Strong Confidence |
| 32 | Exscientia | AI-designed small-molecule drugs | $630M | Full Confidence | Acquisition Value | Observed | $674M | Strong Confidence |
| 33 | Eikon Therapeutics | Live-cell imaging drug discovery | $616M | Full Confidence | Public Market Cap | Observed | $1.1B | Strong Confidence |
| 34 | Relation Therapeutics | AI-driven disease target discovery | $450M–$700M | Partial Confidence | Comparables-Based Estimate | Estimated | $138M | Strong Confidence |
| 35 | CytoReason | AI computational disease modeling platform | $450M–$700M | Partial Confidence | Revenue or ARR Multiple Estimate | Estimated | ~$130M | Partial Confidence |
| 36 | Juvenescence.AI | AI-enabled healthy-aging therapeutics | $500M–$600M | Strong Confidence | Announced Private Round Valuation | Estimated | $325M | Strong Confidence |
| 37 | Plexium | Targeted protein degrader therapeutics | $400M–$600M | Partial Confidence | Implied Valuation from Raise | Implied | $225M | Strong Confidence |
| 38 | HAYA Therapeutics | Regulatory-RNA precision therapeutics | $375M–$550M | Partial Confidence | Implied Valuation from Raise | Estimated | ~$94M | Partial Confidence |
| 39 | BigHat Biosciences | AI-designed therapeutic antibodies | $430M–$480M | Strong Confidence | Announced Private Round Valuation | Observed | $228M | Strong Confidence |
| 40 | BioAge Labs | Metabolic drugs targeting aging biology | $436M | Full Confidence | Public Market Cap | Observed | $297M | Strong Confidence |
| 41 | Verge Genomics | AI neurological drug discovery | $350M–$500M | Partial Confidence | Comparables-Based Estimate | Estimated | ~$168M | Partial Confidence |
| 42 | Proxima | AI-designed proximity therapeutics | $320M–$480M | Partial Confidence | Implied Valuation from Raise | Implied | $80M | Strong Confidence |
| 43 | Healx | AI medicines for rare diseases | $300M–$500M | Partial Confidence | Comparables-Based Estimate | Estimated | $115M | Strong Confidence |
| 44 | Rezo Therapeutics | Maps disease networks for medicines | $310M–$470M | Partial Confidence | Comparables-Based Estimate | Estimated | $78M | Strong Confidence |
| 45 | HotSpot Therapeutics | Allosteric medicines regulatory proteins | $300M–$450M | Partial Confidence | Comparables-Based Estimate | Estimated | $210M | Strong Confidence |
| 46 | Aqemia | Physics-based generative AI drug design | $250M–$400M | Partial Confidence | Implied Valuation from Raise | Estimated | $108M | Strong Confidence |
| 47 | Inceptive | AI-designed RNA medicines | $250M–$375M | Strong Confidence | Implied Valuation from Raise | Implied | ~$120M | Partial Confidence |
| 48 | Ensem Therapeutics | AI precision oncology medicines | $250M–$350M | Partial Confidence | Comparables-Based Estimate | Estimated | ~$120M* | Partial Confidence |
| 49 | Medra | Autonomous AI laboratory scientists | $240M–$350M | Partial Confidence | Implied Valuation from Raise | Implied | $63M | Strong Confidence |
| 50 | Latent Labs | Generative protein design models | $200M–$300M | Partial Confidence | Comparables-Based Estimate | Estimated | $50M | Strong Confidence |
| 51 | Auron Therapeutics | AI-discovered cell-state therapeutics | $180M–$300M | Partial Confidence | Implied Valuation from Raise | Implied | $95.5M | Strong Confidence |
| 52 | Apeiron Therapeutics | AI-designed oncology small-molecule therapeutics | $180M–$300M | Partial Confidence | Comparables-Based Estimate | Estimated | $71.5M | Strong Confidence |
| 53 | LabGenius | Machine-learning antibody discovery | $190M–$280M | Partial Confidence | Comparables-Based Estimate | Estimated | $81M | Strong Confidence |
| 54 | PostEra | AI medicinal chemistry platform | $190M–$260M | Partial Confidence | Comparables-Based Estimate | Estimated | ~$26M | Partial Confidence |
| 55 | Bioptimus | Foundation models for biology | $165M–$250M | Partial Confidence | Comparables-Based Estimate | Estimated | $76M | Strong Confidence |
| 56 | e-therapeutics / Tangram Therapeutics | Computational RNAi drug development | $160M–$220M | Partial Confidence | Comparables-Based Estimate | Estimated | ≥$37M | Partial Confidence |
| 57 | Envisagenics | AI-guided RNA splicing therapeutics | $140M–$220M | Low Confidence | Implied Valuation from Raise | Implied | $27M | Strong Confidence |
| 58 | A-Alpha Bio | Measures engineers protein interactions | $140M–$220M | Partial Confidence | Comparables-Based Estimate | Estimated | $64.3M | Strong Confidence |
| 59 | Tandem AI | Integrated computational drug discovery | $165M–$190M | Strong Confidence | Announced Private Round Valuation | Observed | $82M | Strong Confidence |
| 60 | Anagenex | Machine-learning small-molecule drug discovery | $130M–$220M | Partial Confidence | Implied Valuation from Raise | Estimated | $37.2M | Strong Confidence |
| 61 | Gero | AI discovers age-related disease targets | $130M–$210M | Strong Confidence | Implied Valuation from Raise | Implied | $35.2M | Strong Confidence |
| 62 | 1910 Genetics | Automated multimodal AI drug discovery | $120M–$200M | Partial Confidence | Comparables-Based Estimate | Estimated | $36.7M | Strong Confidence |
| 63 | ReviR Therapeutics | AI-guided RNA-targeting therapeutics | $120M–$180M | Partial Confidence | Comparables-Based Estimate | Estimated | $54.6M | Strong Confidence |
| 64 | Manas AI | AI-native end-to-end drug discovery | $120M–$175M | Partial Confidence | Implied Valuation from Raise | Implied | $26M | Strong Confidence |
| 65 | Atomic AI | AI-driven RNA drug discovery | $110M–$180M | Partial Confidence | Comparables-Based Estimate | Estimated | $42M | Strong Confidence |
| 66 | Peptone | Disordered-protein drug discovery | $110M–$170M | Partial Confidence | Comparables-Based Estimate | Estimated | ~$42M | Partial Confidence |
| 67 | Atomwise | AI structure-based small-molecule discovery | $120M–$130M | Strong Confidence | Announced Private Round Valuation | Observed | ~$240M | Partial Confidence |
| 68 | Inductive Bio | AI models for drug optimization | $100M–$150M | Partial Confidence | Comparables-Based Estimate | Estimated | $29M | Strong Confidence |
| 69 | Aitia | Causal-AI digital twins for drugs | $90M–$140M | Partial Confidence | Comparables-Based Estimate | Estimated | $77.3M | Strong Confidence |
| 70 | Predictive Oncology | GPU compute; legacy oncology AI | $113M | Full Confidence | Public Market Cap | Observed | $344M+ | Partial Confidence |
| 71 | Converge Bio | Generative AI drug discovery | $90M–$130M | Strong Confidence | Implied Valuation from Raise | Estimated | $33M | Strong Confidence |
| 72 | Turbine | Virtual-cell drug discovery | $93M–$103M | Strong Confidence | Announced Private Round Valuation | Implied | ~$62M | Partial Confidence |
| 73 | Standigm | AI drug discovery software platform | $50M–$120M | Low Confidence | Proxy-Based Estimate | Estimated | ~$78M | Partial Confidence |
| 74 | Iktos | Generative-AI drug design robotics | $70M–$100M | Partial Confidence | Revenue or ARR Multiple Estimate | Estimated | ~$19M | Partial Confidence |
| 75 | DeepLife | Cell digital twins for discovery | $55M–$90M | Partial Confidence | Implied Valuation from Raise | Implied | $16M | Strong Confidence |
| 76 | Quris-AI | AI clinical-response prediction | $50M–$80M | Low Confidence | Comparables-Based Estimate | Estimated | ~$37M | Partial Confidence |
| 77 | ImmunoPrecise Antibodies | AI antibody discovery and engineering | $64M | Full Confidence | Public Market Cap | Observed | ~$24M | Partial Confidence |
| 78 | Antiverse | AI antibody drug design | $47M–$78M | Strong Confidence | Implied Valuation from Raise | Implied | >$20M | Partial Confidence |
| 79 | Cyclica | AI-driven digital chemistry platform | $61M | Full Confidence | Acquisition Value | Observed | $22M | Strong Confidence |
| 80 | PrecisionLife | AI precision-medicine disease analytics | $35M–$65M | Low Confidence | Comparables-Based Estimate | Estimated | ≥$2.6M disclosed | Partial Confidence |
| 81 | BlackThorn Therapeutics | Computational neuroscience drug development | $48M | Full Confidence | Acquisition Value | Observed | ~$130M | Partial Confidence |
| 82 | Cyrus Biotechnology | Protein design software and therapeutics | $35M–$60M | Low Confidence | Proxy-Based Estimate | Estimated | $34M | Strong Confidence |
| 83 | Valence Labs | Machine learning drug discovery | $36M | Full Confidence | Acquisition Value | Observed | $11M | Strong Confidence |
| 84 | InveniAI | AI pharmaceutical target discovery | $25M–$45M | Low Confidence | Proxy-Based Estimate | Estimated | Undisclosed | Low Confidence |
| 85 | Ignota Labs | AI rescues failed drug assets | $28M–$41M | Partial Confidence | Implied Valuation from Raise | Implied | $7M | Strong Confidence |
| 86 | DenovAI | AI de novo protein design | $20M–$35M | Low Confidence | Proxy-Based Estimate | Estimated | $6M | Strong Confidence |
| 87 | Evaxion Biotech | AI-designed vaccines and immunotherapies | $26M | Full Confidence | Public Market Cap | Observed | ~$17M | Partial Confidence |
| 88 | Evariste | AI synthetic-lethality oncology discovery | $18M–$32M | Low Confidence | Implied Valuation from Raise | Estimated | ~$3.9M | Partial Confidence |
| 89 | MolecuLern | AI-guided small-molecule discovery engine | $15M–$35M | Low Confidence | Proxy-Based Estimate | Estimated | Undisclosed | Low Confidence |
| 90 | Collaborations Pharmaceuticals | AI drug discovery software services | $15M–$30M | Low Confidence | Proxy-Based Estimate | Estimated | $10M | Strong Confidence |
| 91 | BenevolentAI | Knowledge-graph AI drug discovery | $10M–$30M | Low Confidence | Proxy-Based Estimate | Estimated | $282M | Strong Confidence |
| 92 | Oxford Drug Design | AI oncology drug discovery | $14M–$16M | Strong Confidence | Implied Valuation from Raise | Implied | ~$17M | Partial Confidence |
| 93 | BioSymetrics | AI biomarkers and drug discovery | $12M | Full Confidence | Acquisition Value | Observed | $4.9M | Strong Confidence |
| 94 | oneThree Biotech | AI predicts drug response mechanisms | $8M–$15M | Low Confidence | Proxy-Based Estimate | Estimated | $3.8M | Strong Confidence |
| 95 | Reverie Labs | Machine-learning molecular drug design | $4M–$15M | Low Confidence | Acquisition Value | Estimated | ~$25M–$32M | Partial Confidence |
| 96 | Cloud Pharmaceuticals | Computational AI small-molecule design | $5M–$12M | Low Confidence | Proxy-Based Estimate | Estimated | $4.7M | Strong Confidence |
| 97 | BioXcel Therapeutics | AI-enabled neuroscience drug development | $3M | Full Confidence | Public Market Cap | Observed | $373M+ | Partial Confidence |

This chart, featured in our AI in drug discovery market deck, compares the 2026 size of the AI in drug discovery market with other markets of similar size
Key valuation trends in the AI in drug discovery market
Insights
- The AI in drug discovery market is highly concentrated. Using valuation midpoints, the ten largest companies represent roughly 57% of the combined valuation in this ranking.
- AbCellera is one of the clearest examples of capital efficiency in AI drug discovery. Its roughly $3.7B market capitalization is about 15 times the $247M of funding listed in the dataset.
- Chai Discovery also stands out, with a $3.8B valuation against $630M raised. That is roughly six times cumulative funding, an unusually strong ratio for a privately held AI therapeutics company.
- Relay Therapeutics is valued at about $4.1B after raising $520M, close to eight times invested capital. The gap suggests investors are assigning substantial value to Relay's clinical pipeline and future drug opportunities.
- Capital efficiency varies sharply across AI drug discovery business models. Eikon Therapeutics has raised about $1.1B but carries a $616M market capitalization, while several model-driven companies trade at multiples of cumulative funding.
- Exscientia provides another useful counterexample. Exscientia's $630M acquisition value was slightly below its roughly $674M of total funding, showing that large amounts of venture capital do not automatically translate into larger exits.
- Mid-sized AI drug discovery companies cluster around much lower valuation multiples. Genesis Therapeutics and Iambic Therapeutics both sit near $700M to $800M while each has raised roughly $340M, or around two times invested capital.

This chart, featured in our AI in drug discovery market deck, shows how Shrödinger is positioned in AI drug discovery
A few words about our methodology
As you can see, we built a database that ranks startups in the AI in drug discovery market based on their current valuation.
Estimating AI drug discovery startup valuations is not always straightforward. Many private biotechnology companies do not publicly disclose their valuation, and the available information varies widely depending on the company, funding stage and drug pipeline.
To build this ranking, we applied a structured valuation methodology and cross-checked information across multiple reliable sources.
Whenever possible, we relied on direct disclosures. These include announced valuations from completed funding rounds, public filings for listed AI drug discovery companies, or official acquisition prices.
When an AI drug discovery company is publicly listed, we use its current market capitalization as the reference valuation.
If a company was acquired and no independent valuation can reasonably be estimated today, we use the acquisition price as the main reference point.
When an AI drug discovery startup recently raised capital but the valuation was not disclosed, we estimate the implied valuation using typical dilution levels for that stage of fundraising.
In some cases, we also estimate valuations using operating metrics such as revenue, ARR, partnerships, pipeline progress or customer traction, combined with valuation multiples from comparable companies in AI drug discovery and biotechnology.
When direct financial data is not available, we may rely on carefully selected comparable startups and other signals such as hiring growth, investor quality, scientific progress, clinical development or product traction.
All estimates follow a strict evidence hierarchy. Recent funding rounds with announced valuations carry the most weight, followed by public-market data, strong operating metrics and comparable company analysis.
We also carefully evaluate the age of every data point. Recent information carries more weight, while older data is treated cautiously and adjusted conservatively when necessary.
Whenever information is uncertain or incomplete, we clearly distinguish between confirmed facts and reasonable inferences.
Because valuation data is not always fully public, each AI drug discovery startup in the ranking is assigned a confidence level based on the reliability, recency and consistency of the available evidence.
Full confidence means the valuation is supported by strong and recent evidence. Strong confidence means the estimate is well supported but includes minor inference. Partial confidence means the estimate relies more heavily on indirect signals. Low confidence means available information is limited or inconsistent.
When confidence is lower, we take a more conservative approach by widening the valuation range. This helps reflect the uncertainty and increases the probability that the true valuation falls within the estimated range.
Funding data is assessed separately. Funding confidence reflects how precise and directly supported the cumulative capital figure is, especially when older rounds, undisclosed financings or approximate totals make exact reconstruction difficult.
This reflects how we conduct all our research, including the work behind our report covering the AI in drug discovery market.
In a world where LLMs hallucinate and unreliable information is everywhere, our goal is simple: provide data you can trust.
If you want the full detail on a specific valuation estimate, feel free to contact us and we will gladly explain.
Finally, know that we update the dataset once per month, so come back here if you need fresh information.

This chart, featured in our AI in drug discovery market deck, shows annual funding in AI drug discovery startups
Related blog posts
- AI in Drug Discovery: what are the top startups?
- Which companies have raised the most funding in AI for drug discovery?
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