What are the most valued startups in the AI dev tools market?
Explore our constantly refreshed ranking of the most valuable startups in the AI dev tools market.

In our updated market reports, you will find everything you need
The AI dev tools market now includes coding environments, software agents, application builders, testing platforms, security products and operational tools.
Startup valuations range from early-stage estimates below $10 million to Anysphere’s estimated value of $50 billion to $60 billion.
We update this list every month to reflect new funding rounds, acquisitions, operating data and valuation signals.
A quick summary table
| Metric | Value |
|---|---|
| Most valuable AI dev tools startup | Anysphere, $50.0B–$60.0B |
| Second most valuable AI dev tools startup | Cognition, $26.0B |
| Median AI dev tools startup valuation | Approximately $100M |
| Share of AI dev tools valuation captured by the top 10 | Approximately 87.6% |
| Top AI dev tools valuation versus median | Approximately 550 times |
| Median valuation-to-capital-raised ratio | Approximately 4.9 times |
| AI dev tools startups valued at $1B+ | 16 |
Top startups in the AI dev tools market ranked by valuation
Here is an updated table that ranks the top startups in the AI dev tools market based on their latest reported or estimated valuations.
| # | Startup Name | What They Do | Current Valuation ($) | Valuation Confidence Level | Valuation Type | Evidence Status | Total Funding ($) | Funding Confidence Level |
|---|---|---|---|---|---|---|---|---|
| 1 | Anysphere | AI coding IDE | $50.0B–$60.0B | Partial Confidence | Acquisition Value | Estimated | $3.4B | Strong Confidence |
| 2 | Cognition | Autonomous software engineer | $26.0B | Strong Confidence | Announced Private Round Valuation | Observed | $2.1B | Partial Confidence |
| 3 | Poolside | Software engineering AI models | $10.0B–$12.0B | Partial Confidence | Active Raise Valuation | Estimated | $626M | Full Confidence |
| 4 | Replit | AI app development platform | $9.0B | Strong Confidence | Announced Private Round Valuation | Observed | $872M | Partial Confidence |
| 5 | Lovable | Prompt-based app builder | $6.6B | Full Confidence | Announced Private Round Valuation | Observed | $553M | Full Confidence |
| 6 | Harness | AI software delivery platform | $5.5B | Full Confidence | Announced Private Round Valuation | Observed | $570M | Strong Confidence |
| 7 | Windsurf | Agentic coding IDE | $2.4B | Strong Confidence | Acquisition Value | Observed | $243M | Full Confidence |
| 8 | Sourcegraph | Code search intelligence | $2.0B–$2.6B | Partial Confidence | Comparables-Based Estimate | Estimated | $218M | Partial Confidence |
| 9 | Magic | Long-context coding models | $1.4B–$1.8B | Partial Confidence | Announced Private Round Valuation | Estimated | $465M | Full Confidence |
| 10 | Factory | Enterprise AI software agents | $1.3B–$1.5B | Strong Confidence | Active Raise Valuation | Estimated | $70M | Full Confidence |
| 11 | Augment Code | Context-aware coding assistant | $1.0B–$1.3B | Partial Confidence | Announced Private Round Valuation | Estimated | $252M | Strong Confidence |
| 12 | Aikido Security | Unified application security platform | $1.0B | Full Confidence | Announced Private Round Valuation | Observed | $82M | Strong Confidence |
| 13 | Resolve AI | AI production operations agents | $1.0B | Full Confidence | Announced Private Round Valuation | Observed | $200M | Strong Confidence |
| 14 | Socket | Open-source supply-chain security | $1.0B | Full Confidence | Announced Private Round Valuation | Observed | $125M | Full Confidence |
| 15 | BigPanda | AI-powered IT incident management | $800M–$1.2B | Partial Confidence | Revenue or ARR Multiple Estimate | Estimated | $340M | Partial Confidence |
| 16 | StackBlitz | Browser IDE and app builder | $700M–$1.3B | Partial Confidence | Implied Valuation from Raise | Implied | $135M | Strong Confidence |
| 17 | Semgrep | Developer-first static application security | $700M–$900M | Partial Confidence | Implied Valuation from Raise | Implied | $193M | Strong Confidence |
| 18 | Endor Labs | Open-source dependency security platform | $550M–$750M | Strong Confidence | Comparables-Based Estimate | Estimated | $188M | Partial Confidence |
| 19 | Tessl | AI-native software development platform | $500M–$750M | Partial Confidence | Announced Private Round Valuation | Estimated | $125M | Full Confidence |
| 20 | Qodo | AI code testing and governance | $470M–$700M | Strong Confidence | Implied Valuation from Raise | Implied | $120M | Strong Confidence |
| 21 | CodeRabbit | Automated AI code reviews | $550M | Full Confidence | Announced Private Round Valuation | Observed | $88M | Partial Confidence |
| 22 | Mintlify | AI documentation knowledge platform | $500M | Full Confidence | Announced Private Round Valuation | Observed | $67M | Strong Confidence |
| 23 | Graphite | Stacked code review workflows | $350M–$550M | Partial Confidence | Implied Valuation from Raise | Implied | $72M | Strong Confidence |
| 24 | incident.io | AI incident management platform | $400M–$500M | Strong Confidence | Announced Private Round Valuation | Estimated | $96M | Full Confidence |
| 25 | OX Security | Software supply-chain security platform | $350M–$500M | Partial Confidence | Revenue or ARR Multiple Estimate | Estimated | $94M | Strong Confidence |
| 26 | Selector AI | AI network observability platform | $375M | Full Confidence | Announced Private Round Valuation | Observed | $93M | Strong Confidence |
| 27 | Functionize | Agentic software test automation | $275M–$410M | Partial Confidence | Implied Valuation from Raise | Implied | $67M | Partial Confidence |
| 28 | Apiiro | Application security posture management | $300M–$400M | Partial Confidence | Comparables-Based Estimate | Estimated | $135M | Full Confidence |
| 29 | Komodor | Autonomous Kubernetes operations platform | $250M–$400M | Partial Confidence | Comparables-Based Estimate | Estimated | $90M | Partial Confidence |
| 30 | Warp | AI collaborative developer terminal | $250M–$400M | Partial Confidence | Comparables-Based Estimate | Estimated | $73M | Full Confidence |
| 31 | Emergent | Agentic no-code app builder | $300M | Strong Confidence | Announced Private Round Valuation | Observed | $100M | Strong Confidence |
| 32 | Cycode | Application security posture management | $200M–$300M | Low Confidence | Comparables-Based Estimate | Estimated | $81M | Full Confidence |
| 33 | Applitools | Visual AI testing platform | $225M–$275M | Strong Confidence | Acquisition Value | Observed | $42M | Partial Confidence |
| 34 | mabl | AI-native test automation platform | $140M–$210M | Partial Confidence | Revenue or ARR Multiple Estimate | Estimated | $76M | Strong Confidence |
| 35 | Testim | AI web test automation | $150M–$200M | Strong Confidence | Acquisition Value | Observed | $20M | Partial Confidence |
| 36 | Greptile | AI code review agent | $130M–$210M | Strong Confidence | Implied Valuation from Raise | Implied | $29M | Strong Confidence |
| 37 | QA Wolf | Managed automated QA testing | $140M–$200M | Partial Confidence | Announced Private Round Valuation | Estimated | $56M | Strong Confidence |
| 38 | Zed Industries | Collaborative high-performance code editor | $140M–$180M | Strong Confidence | Implied Valuation from Raise | Implied | $42M | Strong Confidence |
| 39 | Katalon | AI software testing platform | $110M–$180M | Partial Confidence | Revenue or ARR Multiple Estimate | Estimated | $29M | Partial Confidence |
| 40 | ACCELQ | Codeless enterprise test automation | $90M–$180M | Low Confidence | Revenue or ARR Multiple Estimate | Estimated | $0M | Low Confidence |
| 41 | Unblocked | Codebase context assistant | $100M–$160M | Partial Confidence | Implied Valuation from Raise | Implied | $28M | Strong Confidence |
| 42 | Autify | No-code AI test automation | $90M–$140M | Partial Confidence | Implied Valuation from Raise | Implied | $26M | Strong Confidence |
| 43 | Databutton / Riff | Enterprise AI application builder | $90M–$135M | Strong Confidence | Implied Valuation from Raise | Implied | $21M | Strong Confidence |
| 44 | Blackbox AI | Multi-platform AI coding assistant | $80M–$140M | Partial Confidence | Revenue or ARR Multiple Estimate | Estimated | $0M | Low Confidence |
| 45 | Momentic | AI-powered software testing | $85M–$125M | Partial Confidence | Implied Valuation from Raise | Implied | $19M | Full Confidence |
| 46 | All Hands AI | Open-source coding agents | $70M–$110M | Partial Confidence | Implied Valuation from Raise | Implied | $5M | Full Confidence |
| 47 | Shoreline.io | Cloud incident automation software | $90M–$110M | Strong Confidence | Acquisition Value | Observed | $57M | Strong Confidence |
| 48 | Create.xyz / Anything | Prompt-to-production application builder | $100M | Full Confidence | Announced Private Round Valuation | Observed | $20M | Partial Confidence |
| 49 | Rocket.new | Production-ready AI app builder | $65M–$100M | Partial Confidence | Implied Valuation from Raise | Implied | $25M | Partial Confidence |
| 50 | Rootly | AI-native incident response platform | $60M–$100M | Partial Confidence | Comparables-Based Estimate | Estimated | $15M | Full Confidence |
| 51 | Pixee | Automates application-security remediation | $60M–$100M | Strong Confidence | Implied Valuation from Raise | Implied | $15M | Full Confidence |
| 52 | Nobl9 | Service-level reliability management | $60M–$110M | Low Confidence | Revenue or ARR Multiple Estimate | Estimated | $44M | Full Confidence |
| 53 | Virtuoso | Codeless AI test automation | $55M–$90M | Low Confidence | Comparables-Based Estimate | Estimated | $18M | Partial Confidence |
| 54 | Qwiet AI | Agentic application vulnerability detection | $45M–$80M | Partial Confidence | Acquisition Value | Estimated | $58M | Strong Confidence |
| 55 | Swimm | Code documentation and modernization | $45M–$75M | Low Confidence | Revenue or ARR Multiple Estimate | Estimated | $33M | Full Confidence |
| 56 | Pieces for Developers | Developer workflow memory assistant | $40M–$70M | Partial Confidence | Revenue or ARR Multiple Estimate | Estimated | $22M | Partial Confidence |
| 57 | Sema | Measures codebase quality and risk | $35M–$60M | Low Confidence | Revenue or ARR Multiple Estimate | Estimated | Not provided | Low Confidence |
| 58 | DryRun Security | AI-native application security reviews | $35M–$58M | Strong Confidence | Implied Valuation from Raise | Implied | $9M | Full Confidence |
| 59 | Dosu | Automated engineering knowledge platform | $35M–$55M | Partial Confidence | Implied Valuation from Raise | Implied | $9M | Partial Confidence |
| 60 | Codegen | Autonomous software engineering agents | $30M–$55M | Low Confidence | Acquisition Value | Estimated | $16M | Full Confidence |
| 61 | Tabnine | Enterprise code completion | $80M–$160M | Low Confidence | Revenue or ARR Multiple Estimate | Estimated | $55M | Strong Confidence |
| 62 | Bito | AI code review and architecture | $25M–$40M | Strong Confidence | Implied Valuation from Raise | Implied | $9M | Strong Confidence |
| 63 | Diffblue | AI unit test generation | $28M–$38M | Partial Confidence | Comparables-Based Estimate | Estimated | $43M | Partial Confidence |
| 64 | Sazabi | AI-native software observability | $32M–$53M | Strong Confidence | Implied Valuation from Raise | Implied | $8M | Full Confidence |
| 65 | Magic Patterns | AI design prototyping | $30M–$50M | Strong Confidence | Implied Valuation from Raise | Implied | $7M | Strong Confidence |
| 66 | Mobb | Automatically remediates code vulnerabilities | $22M–$36M | Partial Confidence | Implied Valuation from Raise | Implied | $5M | Full Confidence |
| 67 | Tempo Labs | Visual React development editor | $20M–$33M | Strong Confidence | Implied Valuation from Raise | Implied | $6M | Strong Confidence |
| 68 | Vibranium Labs | AI incident monitoring and resolution | $18M–$31M | Strong Confidence | Implied Valuation from Raise | Implied | $5M | Full Confidence |
| 69 | Pythagora | Conversational full-stack app builder | $14M–$25M | Partial Confidence | Comparables-Based Estimate | Estimated | $4M | Partial Confidence |
| 70 | CodeAnt AI | AI code reviews and security | $18M–$28M | Strong Confidence | Announced Private Round Valuation | Observed | $3M | Strong Confidence |
| 71 | CoreOps.AI | Modernizes enterprise legacy systems | $16M–$24M | Strong Confidence | Implied Valuation from Raise | Implied | $4M | Strong Confidence |
| 72 | testRigor | Plain-English test automation | $20M–$35M | Low Confidence | Comparables-Based Estimate | Estimated | $5M | Strong Confidence |
| 73 | Continue | Open-source AI coding assistant | $15M–$30M | Low Confidence | Acquisition Value | Estimated | $5M | Partial Confidence |
| 74 | Cosine | Autonomous AI software developer | $15M–$25M | Low Confidence | Implied Valuation from Raise | Implied | $3M | Strong Confidence |
| 75 | Reflect | No-code AI web testing | $15M–$30M | Low Confidence | Acquisition Value | Estimated | $2M | Full Confidence |
| 76 | Keep | Open-source AIOps alert management | $10M–$25M | Low Confidence | Acquisition Value | Estimated | $3M | Full Confidence |
| 77 | Octomind | Autonomous end-to-end software testing | $18M–$30M | Partial Confidence | Implied Valuation from Raise | Implied | $5M | Strong Confidence |
| 78 | Kapa.ai | AI technical-support assistants | $12M–$19M | Partial Confidence | Implied Valuation from Raise | Implied | $4M | Full Confidence |
| 79 | Arnica | Developer-native application security platform | $15M–$25M | Low Confidence | Revenue or ARR Multiple Estimate | Estimated | $7M | Full Confidence |
| 80 | Corgea | AI vulnerability remediation platform | $12M–$20M | Low Confidence | Implied Valuation from Raise | Implied | $3M | Full Confidence |
| 81 | bloop | AI code search platform | $12M–$22M | Low Confidence | Comparables-Based Estimate | Estimated | $7M | Strong Confidence |
| 82 | Meticulous | Automated frontend regression testing | $12M–$22M | Low Confidence | Revenue or ARR Multiple Estimate | Estimated | $4M | Strong Confidence |
| 83 | Sourcery | Automated Python code refactoring | $8M–$13M | Partial Confidence | Comparables-Based Estimate | Estimated | $2M | Strong Confidence |
| 84 | MutableAI | AI codebase documentation tools | $8M–$18M | Low Confidence | Acquisition Value | Estimated | $1M | Low Confidence |
| 85 | Ellipsis | AI code reviews and fixes | $8M–$13M | Partial Confidence | Implied Valuation from Raise | Implied | $3M | Strong Confidence |
| 86 | DeepSource | Automated code quality analysis | $8M–$14M | Low Confidence | Revenue or ARR Multiple Estimate | Estimated | $3M | Strong Confidence |
| 87 | Codiga | Static analysis and code reviews | $6M–$12M | Low Confidence | Acquisition Value | Estimated | $2M | Strong Confidence |
| 88 | KushoAI | AI-generated API testing suites | $6M–$12M | Low Confidence | Revenue or ARR Multiple Estimate | Estimated | $1M | Strong Confidence |
| 89 | Keploy | Automated API test generation | $4M–$8M | Low Confidence | Implied Valuation from Raise | Implied | $1M | Full Confidence |
| 90 | Kodezi | AI codebase maintenance platform | $4M–$8M | Low Confidence | Comparables-Based Estimate | Estimated | $1M | Partial Confidence |
| 91 | Sweep AI | JetBrains AI coding assistant | $2M–$5M | Low Confidence | Proxy-Based Estimate | Estimated | $0M | Low Confidence |
| 92 | Lazy AI | No-code AI application builder | $2M–$5M | Low Confidence | Revenue or ARR Multiple Estimate | Estimated | Not provided | Low Confidence |
| 93 | Marblism | AI employees for small businesses | $2M–$4M | Low Confidence | Implied Valuation from Raise | Implied | $1M | Strong Confidence |
| 94 | Trag | Customizable AI code reviews | $3M–$8M | Low Confidence | Acquisition Value | Estimated | $0M | Partial Confidence |
| 95 | ZeroStep | Natural-language Playwright test automation | $2M–$6M | Low Confidence | Proxy-Based Estimate | Estimated | $0M | Strong Confidence |
| 96 | Phind | Developer AI answer engine | $0M–$3M | Low Confidence | Proxy-Based Estimate | Estimated | $11M | Partial Confidence |
| 97 | Base44 | Vibe-coding app builder | $80M | Full Confidence | Acquisition Value | Observed | $0M | Full Confidence |
Key valuation trends in the AI dev tools market
Insights
- The top 10 AI dev tools startups represent about 87.6% of the dataset’s total valuation, showing that market value remains highly concentrated among a small number of category leaders.
- Factory’s valuation midpoint is approximately $1.4 billion on $70 million raised, which produces a 20-fold valuation-to-funding ratio and stands out among later-stage AI software agents.
- Aikido Security and Socket reached combined valuations of $2 billion after raising only $207 million, showing that developer-focused application security can create substantial value with relatively limited capital.
- Lovable and Harness carry a combined valuation of $12.1 billion on about $1.1 billion of funding, suggesting both application generation and software delivery have become major AI dev tools categories.
- Windsurf’s $2.4 billion acquisition value is nearly ten times the company’s $243 million funding, illustrating the strategic premium available for differentiated AI coding environments.
- The median AI dev tools startup is valued at approximately $100 million, while Anysphere’s valuation midpoint is about 550 times higher, highlighting the wide gap between market leaders and smaller specialists.
- Code review has developed into a standalone investment segment. Qodo, CodeRabbit, Graphite and Greptile collectively support more than $1.7 billion in midpoint valuation.
- The billion-dollar companies span coding, application building, delivery, security and operations, which suggests AI dev tools are becoming several independent software budget categories rather than one product segment.
A few word about our methodology
As you can see, we built a database that ranks startups in the AI dev tools market based on their current valuation.
Estimating AI dev tools startup valuations is not always straightforward. Many companies do not publicly disclose their valuation, and the available information can vary widely depending on the company and its stage.
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 companies, or official acquisition prices.
When an AI dev tools company is publicly listed, we use its current market capitalization as the reference valuation.
If an AI dev tools startup was acquired and no independent valuation can reasonably be estimated today, we use the acquisition price as the main reference point.
When a 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 or customer traction, combined with valuation multiples from comparable AI dev tools companies.
When direct financial data is not available, we may rely on carefully selected comparable startups and other signals such as hiring growth, investor quality, product adoption or developer traction.
All estimates follow a strict evidence hierarchy. Recent funding rounds with announced valuations carry the most weight, followed by 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 dev tools 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.
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.
Related blog posts
- How are funding trends changing in the AI dev tools market?
- Who has raised the most money in the AI dev tools market?
- How active is venture funding in the AI dev tools market right now?
Who is the author of this content?
NEW MARKET PITCH TEAM
We track new markets so founders and investors can move fasterWe build living “market pitch” documents for emerging markets: from AI to synthetic biology and new proteins. Instead of digging through outdated PDFs, random blog posts, and hallucinated LLM answers, our clients get a clean, visual, always-updated view of what’s really happening. We map the key players, deals, regulations, metrics and signals that matter so you can decide faster whether a market is worth your time. Want to know more? Check out our about page. You can also follow us on Instagram or on Facebook.
How we created this content 🔎📝
At New Market Pitch, we kept seeing the same problem: when you look at a new market, the data is either missing, paywalled, or buried in 300-page reports that feel like they were written in the 80s. On the other side, LLMs and random blog posts give you confident answers with no sources, and sometimes they just make things up. That’s not good enough when you’re about to invest real money or launch a company.
So we decided to fix the experience. For each market we cover, we build a structured database and update it on a regular basis. We track funding rounds, fund memos, M&A moves, partnerships, new products, policy changes, and the real activity of startups and incumbents. Then we turn all of that into a clear “market pitch” that shows where the opportunities are and how people actually win in that space.
Every key data point is checked, sourced, and put back into context by our team. That’s how we can give you both speed and reliability: fast coverage of new markets, without the usual guesswork.