AlphaFold DBStructure prediction
Boltz-2Folding confidence screen
Method
Kairos runs the design–build–test–learn cycle as a dry-lab loop today. Each stage declares what it is — retrieved evidence, model reasoning, or a deterministic tool.
Product
A Kairos session ends as a workbench dossier: cited evidence, a ranked design panel, structure checks, and a claim-by-claim audit. The demo below replays the published cytochrome-c run — every number real.
Evidence
Dry-lab metrics we publish and re-run. Full methodology on /benchmarks/.
ρ ≈ +0.35
Within-protein host fidelity vs real titers (Spearman · 28 PichiaCLM variants, 5 proteins)
Minutes
From research question to ranked design panel
100%
Claims cited — then audited PASS / WARN / FAIL
Full metrics and methodology → /benchmarks/
Capabilities
Pichia-optimized dry-lab design, end to end — from cited evidence to an audited, order-ready construct. Bench validation runs through our partner network. Full scope statement →
Deterministic designs, cited evidence — recent work from the Evolrix AI team.

Questions
An AI company building the tools that make synthetic biology computable — dramatically accelerating the path from research question to manufacturing-ready design. Designs that are provably correct, scores you can re-run, and answers grounded in literature. Built for teams that need provenance, not persuasion.
Industrial R&D teams in synthetic biology, metabolic engineering, and biotech — from early-stage design to pre-manufacturing validation.
Kairos v0.19.6 (Pichia-scoped): conversational research with cited evidence retrieval, LLM-backed reasoning, ranked CDS design panels with host-fidelity scores and expression-construct optimization (element effects matching known biology (pCS1, ERO1/SBH1)), secretion leader design, a downstream manufacturability panel (fermentation, DSP sequence, step-wise recovery, directional cost — every number cited), hypothesis-driven verification where every hypothesis receives a supported / contested / unverified / insufficient verdict, and an automated review layer that audits every claim with a PASS / WARN / FAIL verdict and also assesses whether each cited source actually supports the claim (same organism, same target, entailed or contradicted). Expanding to more hosts.
Ask a research question in natural language. Small talk gets an instant answer; quick questions get a fast cited reply; research questions go straight into the full pipeline. Kairos retrieves cited evidence, reasons with an LLM, runs deterministic design tools, and streams the result into a multi-panel workbench — evidence, design, structure, manufacturability, audit — with a 1–2 screen summary right in the chat and a deduplicated provenance manifest (PMID / DOI / patent / knowledge graph) under Generated Files. Each section carries its provenance, and the audit panel shows a claim-by-claim PASS / WARN / FAIL verdict.
Kairos ranks dry-lab design quality — synthesis safety, host resemblance, expression-construct optimization, 5′ translation initiation, and protein developability. Expression and titer are wet-lab questions, answered by wet-lab data.
Minutes, not weeks. Every construct scored, every claim cited.