LAgentBot turns deep scientific and regulatory expertise into AI agents and MCP tools —
backed by cryptographically verifiable data networks. We start where the stakes are highest and the
data is most broken: chemical safety. Our first vertical, MSDS Chain, is live in production.
// Live metrics from MSDS Chain, our first production vertical
// The thesis
Science runs on expertise that AI can't yet reach.
The hardest knowledge in science — safety, regulatory, compliance — lives in fragmented PDFs, vendor portals and human heads. General models hallucinate on it. We make it callable: domain expertise packaged as AI agents and MCP tools, grounded in data that's verifiable, current, and owned by the network that builds it.
Agents, not forms
Conversation is the interface. Ask in plain language; agents orchestrate the full chain of domain checks in seconds — no menus, no pipelines, no manual cross-referencing.
Distributed over MCP
Every tool we build ships as a certified Model Context Protocol server — so our intelligence runs inside Claude, Cursor, Copilot and any agentic workflow, not just our own app.
A data flywheel you can trust
Cryptographically signed, version-tracked records turn every interaction into verifiable data. Application drives data; data deepens the network — a moat no static database can match.
// Proof point — live in production
The thesis, proven in market
MSDS Chain
Chemical safety, solved by conversation
Our first vertical is live and Microsoft-certified: scientists ask in plain language, and MSDS Chain reasons across compatibility, storage, transport and multi-region compliance — signing every result for traceability. Concrete proof that deep domain expertise can become a trustworthy agent. The $5.7T chemical sector is our beachhead, not our ceiling.
Live across Web · Teams · Slack · MCPMicrosoft-certified
The same architecture — conversational agents, MCP distribution, a signed data network — applies to any high-stakes scientific or regulatory domain. Chemical safety is where we proved it. The platform is what scales it.
Conversational safety agents
Natural-language orchestration of compatibility, risk, PPE, storage, transport and emergency-response checks — answered in seconds, not hours.
Multi-region regulatory knowledge
EU REACH/CLP, US OSHA/TSCA, plus CN, JP, KR, CA, AU, TW, SG and international treaties — 23+ regulatory lists across 10 jurisdictions, one query, kept current with regulatory change.
Trusted data provenance
Ed25519-signed receipts and version tracking turn every contribution into verifiable, tamper-evident safety data — a network that grows as it's used.
Brain–Hands architecture
The agent reasons; specialized tools execute. Every new capability we add is automatically exposed over MCP — so the platform expands without rebuilding the interface.
Built for the enterprise
Multi-tenant isolation, self-serve org onboarding and ISO 27001-aligned controls — ready for regulated chemical and pharma organizations.
Domain-general by design
Parsing, reasoning, signing and provenance are domain-agnostic. The chemical-safety vertical is the first instance of a pattern built to extend across regulated science.
// The company
Building the trusted agent layer for science
LAgentBot is a Singapore-based deep-tech company building AI Agent and MCP infrastructure for science — making the world's hardest domain knowledge accessible to any agent, grounded in data you can verify.
We start in chemical safety: a $5.7 trillion industry whose safety knowledge is fragmented across vendor sites, regulators and PDFs, with no trusted source and no incentive to maintain quality. We change the delivery model — conversation as the interface, a verifiable data network as the foundation — then extend the same architecture across regulated science.
We are a Microsoft partner with a certified MCP server and listings across Microsoft Teams and the agent ecosystem.
