Decision support for expensive biology

Improve bioprocess decisions before the next expensive round.

Metastate helps biotech teams diagnose scale-up divergence, prioritize the next 3 to 5 experiments, and turn noisy signals into defensible action plans.

We do not sell another dashboard. We deliver focused programs for upstream troubleshooting, DOE planning, and discovery prioritization when iteration cost is high.

  • Identify the dominant constraint or leverage point under real bounds.
  • Translate messy signals into ranked hypotheses and actions.
  • Deliver a minimum experiment set that collapses uncertainty.
Built for teams making expensive decisions in bioprocess, scale-up, DOE, and discovery.
Scientist in a laboratory
Decision-grade diagnostics for high-stakes programs.
Research team reviewing data
Ranked experiments, not endless iteration.
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What Metastate is

A repeatable way to turn biological complexity into decision ready actions.

Most biotech teams do not fail because they lack data. They fail because they cannot convert partial signals into a confident next step. Metastate is designed to do exactly that.

We start by framing the system under real constraints. Then we rank plausible mechanisms and interventions using mechanistic reasoning plus whatever data is available. Finally, we output a minimum experiment set that resolves the decision.

You keep IP. Work happens in private, project-specific workspaces. The commercial unit is the program, not annual software seats.

Programs deliver

  • Decision memo with ranked actions.
  • Evidence map that shows what is known and unknown.
  • Minimum experiment set to resolve the decision.
  • Handoff session with failure modes and branches.

Where teams get stuck

If two of these feel familiar, you do not need more data. You need a decision loop.

Endless iteration

You have plenty of hypotheses, but no decision rule. Experiments keep happening, confidence never rises.

Local optimization traps

You optimize a proxy, then scale breaks the story. What worked in one regime fails under real bounds.

Data without decisions

You have omics, models, dashboards, and logs, but nobody can say what to do next with conviction.

Start here

If the problem is upstream, strain, or scale-up divergence, start with bioprocess optimization consulting. If the problem is experiment planning under throughput constraints, start with design of experiments consulting.

Programs

Choose the program that matches the decision you are stuck on.

Bioprocess Optimization Consulting

Start here

Diagnose scale-up divergence, titer plateaus, and upstream bottlenecks before another expensive round.

Best for: Upstream PD, strain teams, tech transfer, scale up divergence, titer plateaus.

Engagement: Diagnostic sprints plus broader advisory support.

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Design of Experiments Consulting

Optimization

Design high-information experiments under real throughput, cost, and bioreactor-time constraints.

Best for: Teams running expensive experimental loops who need clean factor selection and decision rules.

Engagement: Rapid engagement or embedded support.

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Peptide-Lab

Partner program

Stage gated short peptide discovery and prioritization for GLP-1 secretion targets.

Best for: Partners who can run validation assays and want a disciplined candidate prioritization pipeline.

Engagement: Partnership-driven validation program.

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Synthetic Lethality Analysis

Discovery

Turn noisy screening signals into ranked validation plans and interpretable next experiments.

Best for: Discovery teams who need interpretable hypotheses, not just model output.

Engagement: Project-based.

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Personalized Metabolomics

Individual

A metabolomics snapshot translated into actionable hypotheses for lifestyle and intervention experiments.

Best for: Individuals and research teams running structured self experiments.

Engagement: Report plus optional follow on.

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Sector-specific pages

We also publish tailored pages for precision fermentation, CDMO tech transfer, biologics upstream teams, and industrial biotech process optimization.

Browse sector pages

Proof and resources

Browse the assets teams use to understand the work before an intro call.

Decision memo examples

See how a decision memo turns ranked hypotheses, evidence, and next experiments into one operating artifact.

View asset page

DOE matrix checklist

A one-page pre-flight that prevents DOE plans that look rigorous but do not change decisions.

View asset page

Peptide-Lab whitepaper

Public technical overview of Peptide-Lab and its stage-gated prioritization approach.

View asset page

How the workflow works

A simple loop that prevents endless iteration.

Frame the system

Define the decision, constraints, and what success means under real operating bounds.

Rank mechanisms and actions

Generate plausible explanations and interventions, then rank them with explicit uncertainty.

Collapse uncertainty fast

Output the smallest experiment set that changes the decision and reduces wasted cycles.

What you get

Every program ends with a decision package your team can execute.

  • Decision memo. What is most likely true, what is not, and what to do next.
  • Ranked actions. Experiments or interventions ordered by expected value and risk.
  • Evidence map. Signals that support each hypothesis and what is still unknown.
  • Handoff. Walkthrough with your team, including failure modes and next branches.

Press and milestones

Company updates, grants, talks, and major milestones.

View press archive

Tell us the decision you are trying to make.

Book a 15 minute intro call. We will route you to the right program, confirm minimum inputs, and outline a realistic first engagement.

See if this applies to your case

Share a few details. We'll reply with (1) whether we're a fit, (2) the best starting program, and (3) the minimum inputs to begin.