BUILT FOR R&D AND INNOVATION TEAMS IN LARGE ENTERPRISES

Run a year of experiments in a single week

Compress R&D timelines with AI that simulates and validates research hypotheses against a model of your organization. Built for innovation teams inside large enterprises.

Book A Demo

Candidate validated in 18 days
46m ago
3 compounds identified
2h ago
Accuracy → 92.4%
5h ago
98% simulation match
7h ago
12,000+ variants screened
12h ago
Thermal breakthrough found
1d ago

Candidate validated in 18 days
46m ago
3 compounds identified
2h ago
Accuracy → 92.4%
5h ago
98% simulation match
7h ago
12,000+ variants screened
12h ago
Thermal breakthrough found
1d ago

Result

Measurable Results. Accelerated Research.

Faster validation

Faster validation

Faster validation

$0M

Average R&D Savings

$0M

Average R&D Savings

$0M

Average R&D Savings

Avg. time to first evidence

Avg. time to first evidence

Avg. time to first evidence

Validated hypotheses

Validated hypotheses

Across drug candidates, materials, proteins, and chemical formulations

Validated hypotheses

Across drug candidates, materials, proteins, and chemical formulations

HOW IT WORKS

One Platform From Hypothesis to Validated Result

A context engine, a hypothesis workspace, and an organization-aware AI architecture — working together as one closed loop.

Context

ASK

Simulate

Validate

STEP 1

Digital R&D Twin

Define your research context: domain, data, constraints, and organizational parameters. The engine builds a working model of how your R&D actually operates.

1,000+ scenarios evaluated per hour

Context

ASK

Simulate

Validate

STEP 1

Digital R&D Twin

Define your research context: domain, data, constraints, and organizational parameters. The engine builds a working model of how your R&D actually operates.

1,000+ scenarios evaluated per hour

ABOUT US

We're here to make corporate research absurdly fast.

Atomis Research started inside large companies, where we watched strong hypotheses die in queues — waiting for engineering capacity, data access, and sign-offs. We built the engine that skips the queue.

ABOUT US

We're here to make corporate research absurdly fast.

ABOUT US

We're here to make corporate research absurdly fast.

Closed-Loop Research Engine

You ask. The engine experiments. Evidence feeds back automatically.

Hypotheses move from question to simulated evidence — no manual setup, no waiting for engineering. The engine runs 24/7, and every result sharpens the model.

Engine operation

24/7 autonomous

Experiments simulated per week

500+

AI feedback loop

Real-time

Time to first evidence

3-5 weeks

1 in 50

hypotheses survives to validation the traditional way

1 in 3

survives, once the engine pre-filters to only the strongest

1 in 3

survives, once the engine pre-filters to only the strongest

RESEARCH CONTEXT ENGINE

The engine already knows your organization when your first question lands.

Feed it reports, past experiments, internal data, and domain lore — the engine turns the pile into structured context your hypotheses run against. Live in days, not quarters.

Context parameters per org

2,000+

Sources

Papers · Data · Experiments

First context live

Under 7 days

Deployment

Cloud · Private cloud · On-prem

-$1.8M

what one research question burns while it waits a quarter in the internal queue

+$14M

What early verdicts give back, per program, with Atomis Research

+$14M

What early verdicts give back, per program, with Atomis Research

ENTERPRISE-READY

No migration. No re-platforming. No IT project.

Point it at your warehouse, lab notebook, and knowledge bases — pre-built connectors, a clean API, and the security questionnaire already answered.

Pre-built connectors

ELN · LIMS · Snowflake

API

REST · GraphQL · webhooks

Authentication

SSO / SAML / RBAC

Compliance

SOC 2 · ISO 27001

Enterprise R&D teams are trading quarter-long debates for week-long verdicts.

LET'S CONNECT

Stop queueing hypotheses.
Start running them.

Book A Demo

Run a year of experiments in a single week