What does Aixys replace?

The seven SaaS tools most teams have open at once — typically a CRM, a project tracker, a finance app, an HR portal, a doc tool, a chat surface, and a BI/dashboard tool. Aixys unifies all seven into one operating surface backed by a single event log.

How does Aixys remember everything?

Every write is a typed event in an append-only log (P50 8 ms, P99 24 ms, 3× replicated). Every read — whether from the UI, the AI surface, or an integration — is a derivation of that log. The system never guesses; the AI surface grounds on the events.

Is Aixys SOC 2 compliant?

Yes. Aixys is SOC 2 Type II certified, HIPAA-ready, and supports SSO + SCIM. Data residency is available in EU and US regions. See aixys.app/about/trust for live evidence.

Can I bring my own AI model?

Yes. The AI Automation module is model-agnostic — bring OpenAI, Anthropic, or self-hosted weights. Citations and tool calls are typed and logged regardless of which model executes.

How do I integrate Aixys with existing tools?

140+ connectors, typed SDKs (TypeScript, Python, Go), and a streaming HTTP API. Outbound webhooks notify any listener; inbound integrations loop back as new events on the same log.

Pillar V · Agriculture & Biotech

Built for the trial, the field, the bench.

Aixys ships with templates and references tuned for the rhythms of plant science, agronomy, and biotech R&D. Per-plot yield, lab assay outcomes, agro-meteorological joins, plate-level QC, and dose-response — the patterns are pre-built so research teams can spend time on interpretation, not data wrangling.

Field-trial templates: 11
Dose-response models: 4PL · 5PL
Native metrics: CV · LSD · BLUE

Dose-response · 4PL fit

EC₅₀ 2.4 µM · R² 0.987

01 · capability

What you can do

Click any card to expand. Every action carries provenance — what data was used, what was decided, when, by whom.

01.5 · field outputs

The numbers the discipline expects to see

Aixys reports use the vocabulary of agronomy and crop science: LSD groupings, coefficient of variation, plot-level means with standard error. The same applies to biotech — log-fold change, CV%, plate-level QC.

Cultivar × site · mean yieldLSD₀.₀₅ groupings · 192 plot-level obs

Cultivar

Site

Relative yield (t/ha)

Mean

CV %

LSD₀.₀₅

Reading: cultivar C2 sits in group a at both sites — significantly higher than the other two cultivars. C3 is consistently the lowest. CV% under 11% across all rows indicates well-controlled variability at the plot level.

02 · in practice

How it shows up in the field

Three representative scenarios drawn from real research workflows. Click any to expand the follow-up that the team typically runs next.

03 · sectors

Where this belongs

Industries where this module is most directly relevant. The underlying engine is general — sector templates accelerate the work.

AgronomyPlant breedingSeed companiesBiotech R&DContract researchAgricultural extension

Continue · 05

See the agriculture & biotech module against your own data.

A 30-minute working session with the Aixys studio. Bring a real dataset; leave with an analysis, a plan, and answers to your team's hardest research-ops questions.

Request a demo Back to the suite

Surface

Modules

Rituals

Foundations

Integrations

Trust

By stage

By function

By industry

AI Research & Analytics Suite

Analysis

Sector + output

Library

Research

Featured

Company

Operations

Contact

Built for the trial, the field, the bench.

What you can do

Field-trial layouts

Yield + quality joins

Lab + assay workflows

Sector-aware reporting

The numbers the discipline expects to see

How it shows up in the field

Where this belongs

See the agriculture & biotech module against your own data.