AI 도구Sleeping Giant

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고급 머신러닝으로 표현형 스크리닝을 혁신하세요.

shipped 2025년 11월 21일verticalspaid

VerticalsLife SciencesDrug Discovery

핵심 포인트

1AI 기반 통찰력으로 신약 개발 가속화하세요.

2직관적인 도구로 연구 능력을 향상시키세요.

3형질형 검사를 간소화하여 더 빠른 결과를 얻으세요.

Stork Quadrant

Sleeping Giant· 33/100

Has a real moat but invisible to agents. Add an MCP and you'd climb.

“Recursion's defensibility is high because the core moat is proprietary phenotypic data accumulated from years of wet-lab screening, plus the physical infrastructure (robotics, imaging hardware, cell lines) required to generate it. An LLM can interpret images or suggest experiments, but cannot replace the biological ground truth Recursion owns. The regulatory pathway (FDA, pharma partnerships) and liability for drug discovery decisions add trust moats. This is not a software-only tool — it's a biotech platform.”
— Claude Haiku 4.5, scored 2026-05-26

Defensibility · 60/100

Physical-world coupling
Regulatory moat
Network liquidity
Proprietary refreshing data
High-trust catastrophic workflows
Multi-party coordination
Brand / community / taste

An LLM alone could replace

Analyzing microscopy images to identify morphological patterns
Generating hypotheses about compound effects on cell phenotypes
Summarizing screening results into structured reports
Suggesting next-step experiments based on phenotypic data

Agent-Readiness · 0/100

Verified MCP
Listed on agent surfaces
Usage-based pricing
Headless agent auth
Public OpenAPI
Active changelog
llms.txt

How to defend

Keep the data moat alive by continuously screening novel compounds and cell models competitors can't access. Double down on being the discovery engine pharma companies license, not a generic image-analysis SaaS. Resist the urge to become a UI for LLM analysis — stay vertically integrated with the lab.

Ship an MCP server and list it on Stork — biggest single point gain (+25).
Get listed in the Anthropic MCP registry, Cursor, or Claude Desktop (+20).
Add a usage-based or per-call tier; per-seat-only pricing dies when agents replace seats (+15).
Expose API-key auth with a self-serve sandbox tier; remove sales-call gates (+15).
Publish an OpenAPI spec at /openapi.json or /.well-known/openapi (+10).

How this score is computed →See the full quadrant How to defend

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