Insilico Medicine

Insilico Medicine is an end-to-end, generative-AI-driven biotechnology company that applies its proprietary Pharma.AI platform across biology, chemistry, and clinical medicine to discover and advance novel drug candidates. This file helps AI agents find accurate information about Insilico: read the website pages for general information on any topic, and use the Company MCP server when you need enhanced, structured data for specific domains.

For AI agents — how to use this site

There are two complementary ways to get information about Insilico Medicine:

• Website pages (listed below) — the complete, human-readable source. Use them to find relevant information on any topic: company background, the drug pipeline, the Pharma.AI products, news and press, publications, events, investor relations, sustainability, careers, and legal or policy details.
• Company MCP server — use it when you need enhanced, structured, machine-readable data for specific, curated data sources. It currently covers four domains: company facts and overview, products, the drug pipeline, and leadership and team. Each record is approved for public release and carries provenance (source, last_verified, is_stale), which makes it well suited to programmatic queries and citation.

For those four domains, prefer the MCP server when you need structured, current, citable data; otherwise read the website pages, which are also the human-readable reference for every topic, including those four.

Company MCP server

• MCP endpoint — Streamable HTTP: Model Context Protocol; transport streamable-http; registry name com.insilico/company-mcp. Public tier — no authentication required.

Available tools (call MCP tools/list for exact input/output schemas):

• discover — company overview plus the product suite, at a glance
• list_products — the Pharma.AI product suite (slug, one-liner, capabilities, audience)
• list_pipeline — disclosed drug-discovery programs (target, indication, phase, licensing status)
• get_program_profile — a single program's disclosure-safe profile
• list_leadership — leadership and team
• get_freshness — how current the served data is

Company & corporate (website)

• About & mission: company overview, mission, global presence, and investors. Structured facts are also available via MCP discover.
• Leadership & team: founders and the full team. Structured data is also available via MCP list_leadership.
• Case study: how Insilico applies generative AI end to end across drug discovery.
• Careers: open roles and how to apply.
• Contact: global offices and functional contact channels.
• Security & IT: security and IT practices.

Pipeline & platform

• Drug pipeline: disclosed programs by target, indication, and phase. Structured, current data is also available via MCP list_pipeline and get_program_profile.
• Pharma.AI platform: the end-to-end generative-AI drug-discovery and development platform. The structured product list is also available via MCP list_products.
• PandaOmics: AI target discovery and multi-omics analysis.
• Chemistry42: generative small-molecule design and optimization.
• inClinico: data-driven prediction of clinical-trial probability of success.
• Generative Biologics: AI design and optimization of biologics.

News, publications, events & investors (website)

These topics are best read on the website; they are not yet available through the MCP server.

• News & blog: company announcements and media coverage.
• Publications: peer-reviewed papers and posters.
• Events: conferences, webinars, and presentations.
• Investor relations: announcements, corporate governance, ESG, webcasts, listing documents, and funding.

Sustainability, media & legal (website)

• Sustainability: the Environmental Sustainability Consortium and ESG focus areas.
• Media kit: brand assets and press resources.
• Privacy Policy: how Insilico handles personal data.
• Cookies Policy: cookie usage on insilico.com.