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+AutoResearch by Molecule Labs

Give possibility
a direction.

The AI research workspace connecting your knowledge, scientific tools, and experiments. From the first question to the evidence behind your next decision.

Explore AutoResearch Let’s talk research
Drug discovery Materials & formulation Different questions. One connected way of working.

01 / The connected workspace

The next step.
With everything behind it.

Bring the knowledge. Shape the plan. Inspect the evidence. Each decision carries the context of the last.

AutoResearch / Research workspaceIllustrative walkthrough

01 / Context

Start with what you know.

01 / 05

Literature, organizational knowledge, and scientific inputs—connected to the question.

Source context

Target literature

Target biology, known limitations, and the original source of each claim.

Retained with the research record
Every claim needs a source.
Literature & internal knowledgeAI-assisted planningConfigured scientific toolsTraceable research records

02 / Research in context

A wider field.
The same scientific care.

Methods change with the problem. The connection between question, experiment, and evidence stays.

01 Drug discovery

From a target
to a testable shortlist.

Bring the biology and the computation into the same conversation. Choose the next experiment with its evidence in view.

Discuss a discovery program

Docking requires a configured environment. Predictions need experimental validation.

Inside a discovery program

The scientific context

What do we know about the target?

Target biology and published findings, connected to the original sources.

LiteratureTarget evidence

The computational question

Which candidates warrant a closer look?

Prepared structures, candidate molecules, and an inspectable docking protocol.

StructuresCandidate libraryDocking plan

The next decision

A shortlist you can question.

Review predicted poses and their assumptions. Identify what still needs experimental testing.

Beyond docking

Bring supplied ADME evidence into the review. Integrated ADME prediction is not yet available.

02 Materials & formulation

Change an ingredient.
Keep what matters.

A single substitution can change the whole formulation. Start with coatings and adhesives—and keep the performance constraints in view.

Explore a formulation partnership

In development. Seeking design partners; live formulation execution and validated performance are not yet available.

Inside a formulation program

The starting point

A recipe with a history.

Connect the incumbent formulation to its ingredients, process conditions, and test methods.

RecipeIngredient history

The design space

Define what cannot be compromised.

Frame a bounded experiment design around the properties your team needs to preserve.

AdhesionViscosityCureCost & EHS

The next decision

A better question for the bench.

Review proposed recipes, define the tests, and connect future measurements to the formulation.

Built around your constraints

A partnership scenario for ingredient substitution. No measured result is shown.

03 / Scientific control

Every conclusion
has a history.

AI helps move the work forward. Your team can question the sources, revise the plan, and decide what happens next.

Open the research workspace
The research record
  1. 01

    Sources

    Keep the original context within reach.

  2. 02

    Plans & approvals

    Know what was proposed, revised, and authorized.

  3. 03

    Runs & artifacts

    Follow tool activity back to its inputs.

  4. 04

    Evidence & decisions

    Separate predictions, measurements, and open questions.

Question → Plan → Run → Evidence → Next question

Let’s move the question forward

What are you
trying to discover?

Bring a research question, a difficult constraint, or a workflow worth rethinking.

Discuss your research manmohan@moleculelabs.ai