ditch the status quo,
vibe discovery is here.

We screen entire proteomes across hundreds of millions of molecules in the lab to power your ML models and your initial new medicine discoveries.

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Get your vibe on.

Install Om MCP in Codex or Claude Code. Once you have an account, Wallet Credits, and an API key, drop Om directly into your client and start asking discovery questions immediately.

Client

Installation

Add Om MCP to Codex:

export OM_API_KEY="your_om_api_key_here"
codex mcp add omtx --url https://agents.omtx.ai/mcp --bearer-token-env-var OM_API_KEY

agentic discovery, grounded in wet-lab data

Access our tools and API directly, or plug into your harness of choice to enable agentic discovery at scale.

We generate data at scale so you can move faster from a target question to binders, evidence, model inputs, and the next real program decision.

GET STARTED

Sign up, fund your wallet, and create an API key to connect Om in Codex, Claude Code, or any MCP-compatible harness.

ACCESS DILIGENCE

Identify therapeutic opportunities and pull target, mutation, and clinical context into the same working loop.

ACCESS DATASETS

Retrieve proteome-wide small molecule binding datasets and use them directly in ranking or training workflows.

ACCESS GENERATION

Generate new wet-lab data on what molecules bind your protein when the public library is not enough.

ACCESS API

Query Om programmatically and move from target questions to binders, evidence, and model-ready outputs.

ACCESS HUB

Launch Om workflows, inspect job state, and keep every result inside the same working session.

From idea to data to discovery, in weeks.

Follow these steps to move from signup to getting data to launch your program fast.

1

Create your Om account

Sign up to access the dashboard, invite teammates, and request an Om API key for programmatic usage.

2

Fund your wallet and set your budget

Add funds and set your budget cap so API requests, exports, and diligence jobs can settle automatically.

3

Pick the protein you want small molecule binders for

Use our `/v2/datasets/catalog` endpoint to pick the protein you want small molecule binders for, then enter how many binders and non-binders you want, train a model, and launch a program.

4

Access or generate as much data as you need

Launch data generation campaigns or use diligence API endpoints (synthesizeReport, deep-diligence, search, gather, or crawl) to refine your strategy.

5

Launch your discovery program in weeks

With data in hand, you can move straight into discovery without additional onboarding friction.

Explore the Om platform

Leverage our API endpoints plus the dashboard to accelerate research.

Hub

Launch the latest models with Hub, or use proprietary Om models to go faster

Use Wallet Credits to run structure prediction, docking, and design workflows in Hub, with access to the latest models alongside proprietary Om models built to accelerate discovery.

  • Use one Wallet Credits balance across active Hub models for prediction, docking, and design workflows.
  • Launch the latest models in one workspace, including proprietary Om models designed to help you move faster.
  • Upload files when a workflow needs artifacts and keep every run organized in one Om account.
  • Review completed runs and download outputs as soon as jobs finish.
  • Move from model output to downstream research, scoring, and decision workflows without leaving Om.

Hub runs use Wallet Credits with fixed per-run pricing by model; see Pricing for current rates.

Access Hub
Om API workflow
Data Access

Browse datasets and jump into API workflows

Explore available protein targets in the dashboard, copy the canonical protein UUID, and pull binders/non-binders or exports programmatically.

  • Browse protein targets with Om-provided metadata to help you rank-order and optimize your data selection for model training.
  • Copy the canonical protein UUID for Om API / SDK workflows.
  • Get data streamed in through `/v2/data-access/shards` when you want to pull larger datasets into your ML workflow.

Subscription-gated access by active license plan.

Access datasets
Dashboard dataset discovery
Data Generation

Data generation on demand - screen hundreds of millions of molecules against your protein of interest

Provide a protein sequence and our lab returns the full binder / non-binder landscape through the Om API—no additional work required. Pick the delivery model that fits your IP strategy.

  • Exclusive ownership (live pricing/sequence): private dataset licensed to you in perpetuity.
  • Open access datasets (live pricing/sequence): dataset can join the public library, and access is governed by your active dataset subscription.
  • Screen entire panels or mutant variants to understand binding pockets across protein classes.
  • Results land in the dashboard and Om API workspace with metadata, QC, and exportable reports in 4-6 weeks.

Per-sequence pricing varies; see Pricing for current rates or contact us for large batch discounts.

Request data generation
Data generation workflow
Diligence

Turn target and market questions into evidence-backed briefs

Use Diligence to move from a therapeutic question to cited claims, competitive context, and structured reports your team can act on quickly.

  • Research targets, competitors, modalities, and clinical programs with source-linked outputs your team can review.
  • Generate evidence-backed claims for one target or thesis, then turn them into a structured diligence brief.
  • Use one Diligence workspace for fast scans, deeper research, and follow-up questions as your strategy evolves.
  • Share validated findings across discovery, business development, and investment workflows without leaving Om.

Diligence uses Wallet Credits with pay-as-you-go pricing; see Pricing for current rates.

Access Diligence
Diligence workspace

How do we do it? Pico-scale spatial manipulations to link what molecules bind what proteins in a library by library format.

  • +Synthetic Biology
  • +Molecular Encoding
  • +Pico-Scale Engineering
  • +AI

Our technology leverages synthetic biology, pico-scale engineering, materials science, and molecular encoding to screen thousands of proteins against billions of molecules in a single reaction. We are leveraging these datasets to train machine learning models to predict molecular interactions at scale.

Technology visualization

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