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For R&D teams in biotech, pharma, CROs and research cores

General models invent biology. We build the layer they check against.

Graphomics is the verified data plane for biological AI. Operon gives your team a private research platform grounded in curated knowledge graphs. MapForge builds those graphs, including your own. Every result carries a record of the data, method and version that produced it.

Talk to UsSee Operon →
or emailvkhandavalli@graphomics.com
OperonMapForgeMicroMap + your Company Graph
RuminococcusPrevotellaParabacteroidesBifidobacteriumLactobacillusActinomycesStreptococcusPeptostreptococcusUlcerativecolitisDEPLETED IN UCENRICHED IN UC
A snapshot of MicroMap (October 2026): source-linked findings, not causal claims.
Explore the evidence →
The Problem

What scientists were promised — and what they actually get.

Promised

— Gene–disease links, proposed on demand
— Mechanistic hypotheses built from omics data
— Investigation cycles run end to end
— Publication-ready reports drafted in minutes

Reality

— Species, diseases, and pathways get hallucinated
— No source of truth linking gene → disease → target
— 50+ bioinformatics tools that don't connect
— No data isolation between one lab and the next

The Insight

AI got good at code because code can be checked.

An agent writing software has somewhere to stand: it can run the code, read the trace, watch the test fail, and correct itself. Biology gives an agent none of that. There is no executable, inspectable record to ground against — so it guesses. Build that record, and the agent becomes trustworthy.

01
Executable
An answer becomes an operation that can be run and re-run, not a paragraph of text.
02
Inspectable
Every intermediate step is exposed as structured, queryable evidence you and the agent can audit.
03
Stateful
Progress persists across steps — a memory of what was decided that survives the loop.
The Loop

Ground. Execute. Contribute.

Ask a question grounded in curated biology, run the analysis that answers it, then write the result back with its provenance. That return step is what closes the loop.

Ground

The knowledge network

MicroMap by default, other knowledge graphs alongside it, and your own Company Graph. Every association links to its sources.

Learn more →
→
Execute

Operon

A research agent that cites what it used, analysis steps and validated Nextflow pipelines, approved before costly runs.

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→
Contribute

Your Company Graph

Validated results are written into your own private graph with their provenance and a trust label, so the next question builds on them.

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↻ MapForge builds and extends every graph in the loop. Nothing is written until a reviewer approves it.

MCP

Built on open standards. Your own agents — Claude Code, Cursor, or something you built — query the knowledge graphs over MCP or a REST API, alongside Operon's own agent.

At the centre of every engagement

Your Company Graph.

Every organization gets its own knowledge graph inside its Operon deployment: your data, assays, experiments and validated findings, linked to the curated biology in MicroMap. It is private to you, and it grows with every result.

Built from what you have
MapForge turns datasets, instrument outputs and internal databases into reviewed graph facts.
Linked to the reference
Shared identifiers mean one question draws on your results and the published evidence together.
Compounds with use
Validated results are written back with provenance, so the next question starts further ahead.
Yours alone
Visible only to your organization. Never pooled with other clients.
MICROMAP · DEFAULTREFERENCE GRAPHSDOMAIN GRAPHSYOUR COMPANY GRAPH- - - linked byshared identifiers
The Products

Two products. One knowledge network.

Operon is where your team works. MapForge builds the graphs it works on.

Research platform

Operon

Your team's private research workspace, deployed for your organization alone.

  • —A research agent that grounds answers in the knowledge graphs it can reach, and cites what it used
  • —Analysis steps and validated Nextflow pipelines, approved before costly runs
  • —Campaigns: plan and run batches of experiments
  • —Every result recorded with its inputs, method and version
  • —Partner methods run through a registry, with the run recorded as provenance
Explore Operon →
Graph engine

MapForge

Builds knowledge graphs, including your Company Graph, from your data and public sources.

  • —Reads VCF, GFF/GTF, BIOM, AnnData, mzTab, spreadsheets and tables
  • —Matches your entities to standard identifiers and existing knowledge
  • —Scores confidence on every proposed link
  • —Nothing is written until a reviewer approves it
  • —Licensable on its own, for teams building graphs in their own domain
Explore MapForge →
The default knowledge graph

MicroMap: curated microbiome biology, built with MapForge.

Every Operon deployment is connected to it. Every association is linked to its sources, with a declared confidence calibration.

63,136
source-linked microbe–disease associations, spanning 2,981 microbes and 239 diseases
1.2M+
entities
1.15M+
microbial taxa
2,801
metabolites
2,028
proteins
10,000+
linked papers
60+
API endpoints

Counts as of October 2026.

How we work with companies

Three ways in. One way of working.

Pick the relationship that fits how your team works today. Each one runs on the same graphs and the same record.

Operon for your organization

Your own Operon deployment: your Company Graph, a grounded research agent and validated pipelines, for your whole team.

About Operon →
A graph for your domain

MapForge builds and maintains a knowledge graph from your data and the public sources for your field. Or license the engine and run it yourself.

About MapForge →
Knowledge for your agents

Your engineers query MicroMap from their own tools, Claude Code, Cursor or their own agents, over MCP or a REST API.

About the graphs →
How it runs
01 · Scope

The questions that matter to your team, and the data you already hold.

02 · Deploy

Hosted by us or in your own cloud, connected to your data.

03 · Build

Your Company Graph, built with MapForge from your data and the public sources for your domain.

04 · Run

Answers, analyses and pipelines, with the evidence and lineage behind every result.

YOURS

Your data, your Company Graph and your results stay yours. They live in your deployment and are never pooled with other clients.

Why Now

Three things changed.

01 · Capability

Reasoning got good, and cheap. Frontier models can plan an experiment and read an analysis. Intelligence is no longer the bottleneck.

02 · Standards

MCP turned every pipeline and data source into something an agent can call. The plumbing is finally open.

03 · Stakes

A hallucinated pathway still costs months at the bench. Grounding isn't a nicety here — it's the whole job.

The reasoning arrived this year. The ground to reason over didn't.

Every lab. Every organism.
Every answer, grounded.

Read the DocsTalk to Us
or emailvkhandavalli@graphomics.com
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