LAgentBot · infrastructure for science
We turn deep scientific and regulatory expertise into callable AI agents and MCP tools — grounded in verifiable, network-owned data.
The thesis
The hardest knowledge — safety, regulatory, compliance, procedural — lives in fragmented PDFs, vendor portals, instrument logs, and human heads. General models hallucinate on exactly the questions where being wrong is expensive. LAgentBot makes that knowledge callable, verifiable, and current.
Regulatory sheets, vendor portals, and tacit expertise never make it into a form software can query with confidence.
LLMs sound authoritative on hazards and regulations — plausible, confident, and wrong precisely where it matters most.
We package expertise as agents and MCP tools grounded in a verifiable, current, network-owned data network.
The platform
LAgentBot is a platform, not a single app. Deep domain knowledge is packaged as agents, exposed as MCP tools that plug into any client, and grounded in a data network the community keeps honest. It's a pattern — one that generalizes across scientific domains.
We encode domain and regulatory reasoning into agents that answer in plain language — not a chatbot bolted onto a search box.
Every capability is a callable MCP tool — reachable from Claude, ChatGPT, Teams, Slack, or any MCP client, with per-user metering.
Answers trace to sources in a network-owned data layer that stays fresh through use — the ground truth agents are held to.
MSDS Chain
A conversational agent that answers in plain language — every verdict traced to its source.
msds-chain · verified agent
$ compatibility.check
"Can I store bleach and ammonia together?"
Principles
An answer you can't check isn't infrastructure — it's a guess with better production values. Three commitments hold everything we build to a higher bar.
Every answer traces back to a source. If we can't cite it, we don't assert it — no confident guesses dressed as fact.
Regulations and hazards change. The data network stays fresh through use, so answers reflect the world as it is now.
The data layer belongs to the network that builds it. Value compounds for the people whose use makes it trustworthy.