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Introducing NextExperiment

The AI lab that decides your next experiment

A team of AI agents takes a research question to a clear recommendation for the next experiment in under half a minute. Scientists approve every step that matters.

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The NextExperiment discovery loop, from evidence to the next step in under 30 seconds, with scientist approval along the way. JAYVON AI ● NEXTEXPERIMENT ● FROM QUESTION TO NEXT EXPERIMENT ● AGENTIC SCIENTIFIC DISCOVERY ● NextExperiment <30s ONE FULL LOOP
<30sfor one complete discovery loop
1scientist approval before anything runs
24hto build the first working prototype
10×faster discovery is our long-term aim
Featured product
NextExperiment

Every result should change the next decision

Our first product focuses on finding tuberculosis drug candidates faster. It reviews the evidence, proposes ideas, and recommends what your lab should test next, with your scientists in charge.

Learn more about NextExperiment
Explore

Built for the people who move science forward

Our products

NextExperiment is live as a prototype. More AI products for science are on the way.

See all products

Partner with us

Pilot the agentic lab, validate its picks in your wet lab, or help fund the next stage.

Ways to collaborate

Make a difference

Our roadmap to a self-driving lab, and the impact it can have on patients and science.

See our impact

Run your next experiment with an AI lab partner

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Products

AI products for scientific discovery

We build agentic AI that helps research teams decide faster and with better evidence. NextExperiment is our first product.

Prototype
Agentic lab

NextExperiment

AI agents that work together and recommend what your lab should test next.

Explore NextExperiment
Coming soon
In development

Next product

Details will be announced here soon.

Coming soon
In development

Future product

Details will be announced here soon.

NextExperimentGoal & missionSolutionKey factsPartner
NextExperiment · Agentic lab

AI agents that decide your next experiment

From research question to a clear, well-reasoned recommendation in under half a minute.

Pilot NextExperiment
Our goal

Faster discovery, starting with tuberculosis

We want to find tuberculosis drug candidates faster by speeding up the whole discovery loop, not just one step of it.

Every result should change the next decision. When an experiment finishes, the lab should already know what to test next and why.

Our mission

A capable research partner for every lab

Give every lab, large or small, an agentic partner that turns evidence into well-reasoned, well-recorded experimental decisions.

Scientists stay in charge of every consequential action. Every decision is logged, and uncertainty is reported plainly.

The problem

Research is slowed down at every step

Too much literature

No one can read everything relevant.

Narrow hypotheses

Teams test the ideas they already had.

Costly choices

Picking the next experiment uses budget and time.

Fragmented tools

Data and software live in separate places.

Slow hand-offs

Work waits between people and steps.

Unrecorded decisions

The reasons behind choices get lost.

Surprises get dismissed

Unexpected results are easy to ignore.

NextExperiment

One agentic lab that tackles all seven.

Our solution

From research question to next experiment

NextExperiment is an agentic AI lab. A team of AI agents works through the full discovery cycle together and tells your scientists what to test next, and why.

Understands

Reads the field

Reviews the existing evidence and points out where knowledge is missing.

Proposes

Generates ideas

Suggests testable hypotheses and ranks the most promising ones.

Protects

Keeps people in charge

Nothing runs until a scientist approves the plan and the budget.

Decides

Recommends what's next

Turns every result into a clear recommendation for the next experiment.

Key facts

What NextExperiment does today

<30sfor one complete discovery loop
1scientist approval before anything runs
24hto build the first working prototype
10×faster discovery is our long-term aim
First focus
Tuberculosis drug candidates
Status
Working prototype, running end to end
Oversight
Scientists approve every consequential step
Record keeping
Every decision is documented and reproducible

Want to pilot NextExperiment in your lab?

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Partner with us

Help us take the agentic lab from prototype to real lab partner

We are looking for a small number of partners to validate, pilot and scale NextExperiment with us.

Who we work with

Who benefits from an agentic AI lab

Researchers & PhD studentsLess time on literature search, data cleaning and routine analysis.
Lab headsLess budget spent on unlikely experiments.
Small labsCapacity that was out of reach, closing the gap with large groups.
Pharma & biotechDrop weak candidates earlier, before they become costly programmes.
Funders & governmentsMore discovery for every euro invested.
How to collaborate

Three ways to work with us

Pilot as a partner lab

Run NextExperiment on a real research question alongside your team.

  • One or two pilot labs to start
  • Benchmark against your usual workflow
  • Your scientists keep approval over every run

Validate in the wet lab

Test the top computational picks with real assays.

  • Wet-lab validation of top candidates
  • Connect your lab notebooks and data systems
  • Shared, reproducible research records

Fund or scale

Back the work with funding, compute or a new science domain.

  • Many experiments run in parallel
  • New domains, such as materials and energy
  • Shared memory that learns across projects
Contact

Talk to the founders

Tell us about your lab, your research question or how you would like to collaborate. Send us a message and we will reply personally.

Monika RangoleCo-Founder and CEO
Anurag DograCo-Founder and CTO
How to make a difference

Our path to a self-driving lab

Each stage needs different partners. Join at the stage where your lab, company or funding can move it forward.

Roadmap

From prototype to real lab partner

  1. Months 1–3

    Prove it works

    • Benchmark against a human-only baseline
    • Measure the real speed-up honestly
    • Make every run reproducible
  2. Months 3–6

    Connect to labs

    • Wet-lab validation of top picks
    • Link to lab notebooks and data systems
    • Pilot with one or two partner labs
  3. Months 6–12

    Scale up

    • Run many experiments in parallel
    • Add new science domains
    • Shared memory across projects
  4. Years 1–3

    Self-driving lab

    • AI-guided lab automation
    • Closed loop: design, run, learn
    • Approach 10× faster discovery
Impact

Why it matters

For patients

Faster drug discovery can mean treatments reach people sooner, starting with tuberculosis.

For science

Better-documented, more reproducible decisions, and labs of every size able to compete.

For the planet

The same approach can speed up materials, energy and climate research.

Responsible by design

  • Scientists keep approval over every consequential action.
  • Safety agents enforce policies, especially in sensitive fields such as pathogen research.
  • Every decision is logged and uncertainty is reported openly.

Help build the self-driving lab

Partner with us
Company

We build AI that helps science move faster

JAYVON builds AI products for agentic scientific discovery that help research teams make better experimental decisions, with scientists always in control.

Leadership

Our founders

Monika RangoleCo-Founder and CEO
Anurag DograCo-Founder and CTO
What we believe

Our principles

Speed with rigour

Faster decisions, never at the cost of good evidence.

Humans in control

Scientists approve every step that matters.

Open records

Every decision is documented and reproducible.

Access for all labs

Small labs deserve the same capacity as large ones.