VC fund profile · evidence-aware directory data
Coatue stages, portfolio and investment profile
New York technology investment firm founded in 1999, spanning public equities and private markets from venture through growth. Coatue is known for crossover rounds in consumer internet, enterprise software, and AI — backing companies like Snap, DoorDash, and OpenAI.
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Stage-based planning range
$1M–$10M
This is a planning range inferred from stage coverage, not a firm-disclosed check size.
Methodology: Stage bucket inferred from the rounds a fund leads or invests in.
No firm-specific check-size disclosure is recorded.
Investment stages
Leads: Series B+
Participates: Series A, Series B+
Sector focus
Enterprise SaaS · AI & Machine Learning · Consumer
Geography
New York, NY
Founded 1999
Fund size / AUM
Not recorded
A separate fund-size evidence record is not yet available.
Portfolio in our directory
54
Linked startup profiles
Latest fund vehicle
Not recorded
Vehicle name, size, and vintage are not yet structured.
Rounds they lead
Rounds they invest
Last verified: Not recorded. Check-size evidence is labeled by basis so planning estimates are not presented as firm disclosures.
Portfolio companies we track
Startups in our directory that list Coatue as an investor (54 total).
- AKASA Generative AI platform automating healthcare revenue cycle operations.
- Alchemy Blockchain developer platform (node/API infrastructure) for web3 builders.
- Anthropic AI safety company building Claude frontier models, API, and enterprise agents for coding and knowledge work.
- Anysphere Company behind Cursor, the AI-native code editor for software development.
- BeReal Daily dual-camera photo app (acquired by Voodoo, June 2024).
- Blend Labs Digital lending platform for mortgages and consumer banking (NYSE: BLND).
- Box Cloud content management and collaboration for enterprises (NYSE: BOX).
- Canal Distributed commerce platform for retailer third-party assortment (acquired by Rokt).
- Cerebras Wafer-scale AI chips and inference cloud — CS-3 systems and Cerebras Inference API for training and production LLM serving.
- Corma Frontier AI lab building foundation models for defensive cybersecurity.
- Cursor AI-native code editor (Anysphere) that forks VS Code for agentic programming workflows.
- Cyera Data-security trust layer for enterprise AI — DSPM, DLP, and agentic access control across cloud and SaaS.
- Dapper Labs Creator of Flow blockchain, NBA Top Shot, and consumer NFT gaming.
- Databricks Data + AI platform (lakehouse, Lakebase, Genie, Unity AI Gateway) for enterprises that train, govern, and run agents on their own data.
- DayOne Hyperscale AI-ready data center developer and operator across Asia-Pacific and Europe.
- dbt Labs Analytics engineering platform — dbt transforms warehouse data into tested metrics layers.
- Decagon Enterprise AI agents automating customer support across chat, voice, and ops.
- Deel Global payroll and compliance platform for hiring and paying international teams.
- DoorDash U.S. delivery logistics platform — public on NYSE as DASH since December 2020.
- Earnin Earned wage access app — cash out paychecks early without mandatory fees or payday loans.
- Figma Collaborative interface design platform that became the default design system tool.
- Firmus Australian AI Factory platform building energy-efficient, NVIDIA-aligned AI infrastructure across Asia-Pacific.
- Form Energy Iron-air multi-day battery systems for utilities and large power buyers — ~100-hour grid storage priced for energy capacity, not short-duration peaking.
- Harvey Domain-specific AI for law firms — research, drafting, contract analysis, and agentic legal workflows.
+30 more in the directory graph (browse related articles below or the startups index).
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FAQs about Coatue
Stage fit, check size, thesis, and how founders typically approach this firm — based on public sources and our directory.
Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.