Pichia expression-construct design

Seeking the thermodynamic limit of biomanufacturing

One question in — a dossier you can audit.

Enter ↵ to ask Kairos · Shift+Enter for newline

✓ Opening Kairos with your question…

Every step inspectable, challengeable, reproducible

A deterministic review layer audits every claim — PASS / WARN / FAIL.

Reproducible

Numbers we publish — and re-run

Deterministic designs, cited evidence — recent work from the Evolrix AI team.

inputsignal peptide for HSA secretion
outputranked constructs + citations
re-runidentical result
auditevery claim → a paper
Auditable

One question in — a dossier you can audit.

A Kairos session ends as a workbench dossier: cited evidence, a ranked design panel, structure checks, and a claim-by-claim audit.

papersPubMed · DOI · patents
graphcurated knowledge-graph edges
stagespipeline traced end-to-end
filessequences, panels, manifest

Provenance, not persuasion.

An AI company building the tools that make synthetic biology computable — dramatically accelerating the path from research question to manufacturing-ready design.

Inside a dossier

What a Kairos session actually returns

Two live captures from the workbench, on a user-provided Q6Q4H8 sequence — the ranked design panel and the claim-by-claim audit. Nothing staged.

Kairos design panel: the recommended candidate's per-axis verdict table and the Pareto-ranked candidate panel
Design — the recommended candidate with its per-axis verdict table, and five Pareto-ranked candidates behind it. The panel carries its own scope line: a ranking signal, not a titer prediction.
Kairos audit panel: WARN / PASS verdicts for each manufacturability claim, with the evidence-grade legend
Audit — each manufacturability claim stamped with a WARN / PASS verdict and its reasoning; the panel states plainly what is directional and what still needs the wet lab.
Grounded in open sources

Every claim traces to something you can open.

Sources PubMed NCBI AlphaFold DB Boltz-2 patents curated knowledge graph

≈ +0.35within-protein Spearman
627records
34scored folds
21cross-source

Every number re-runnable — see the benchmarks →  host-fidelity reward vs measured titers, retrospective

How it works

From question to design — one dry-lab loop

01 / ASK

Multi-step reasoning you can inspect, challenge, and cite.

02 / RETRIEVE

Evidence synthesized with provenance across the literature and a knowledge graph.

03 / REVIEW

A deterministic review layer audits every claim — PASS / WARN / FAIL.

Capabilities

What Kairos does

  • Ranks synthesis safety & host resemblance for Pichia constructs
  • Optimizes expression-construct elements — learned effects matching known biology (pCS1, ERO1/SBH1)
  • Scores 5′ translation initiation & protein developability
  • Checks structures in silico — AlphaFold DB + Boltz-2 confidence
  • Cites every claim to literature you can open and check
  • Audits every claim — automated PASS / WARN / FAIL verdict, line by line
  • Scores downstream manufacturability — fermentation, DSP recovery & directional cost, every number cited

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 →

Questions

What teams ask

What is Evolrix AI?

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.

Who is it for?

Industrial R&D teams in synthetic biology, metabolic engineering, and biotech — from early-stage design to pre-manufacturing validation.

What can it do today?

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.

How does the chat work?

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.

What is Kairos scoped to?

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.

Bring a target protein. Leave with a ranked design panel

Kairos ranks dry-lab design quality. Expression and titer are wet-lab questions, answered by wet-lab data.