Evidence-led guidance • Personal science • Friendly conversations

Evidence-first optimisation Your data, translated into experiments you can run tomorrow.

Bring your day-to-day notes, trackers, and hunches. Evidentia Lab tidies the story, finds the patterns that matter, and walks you through a plan you can try tomorrow—no statistics degree required.

Launch demo conversation Explore the methodology

Lab Console preview

Story-first intake → optimisation engine → insights mentor. One continuous flow, tuned to feel like a helpful lab partner rather than software.

What makes Evidentia different?

We built Evidentia Lab to turn the scientific method into a friendly product. Every step is observable, every recommendation is auditable, and every insight is backed by data the user supplied.

Stage 0

Schema-aware intake

A multilingual orchestrator runs a strict intake prompt, demanding ≥15 observations per variable, normalised feature names, and realistic search spaces before anything moves forward.

What it gives you
  • Clean, analysis-ready JSON
  • Predictable feature taxonomy
  • Confidence in data coverage
Stage 1

Optimisation engine

A lightweight optimisation engine fits surrogates, scores every historical day, samples promising candidate schedules, and highlights the next experiment that deserves your attention.

What it gives you
  • Best current configuration
  • Prioritised next test
  • Clear trade-off narrative
Stage 2

Insights mentor

A dedicated LLM sits on top of the results, communicating trade-offs, negotiating priorities, and coaching you toward the next measurement sprint—all in your preferred language.

What it gives you
  • Conversational clarity
  • Experiment commitments
  • Change management prompts
Roadmap

Research runway

After MVP, Evidentia will surface peer-reviewed research that corroborates observed patterns, creating a bridge between your experiments and the broader scientific community.

What it gives you
  • Relevant literature cues
  • Evidence to share with stakeholders
  • A backlog for deeper R&D
Product

Design for transparency

Every session produces downloadable artifacts—JSON, CSV, and charts—so teams can archive progress, compare experiments, and embed insights wherever they collaborate.

What it gives you
  • Portable data snapshots
  • Visual narratives for updates
  • Auditable experiment logs
Scale

Enterprise ready

A single repository powers the entire stack, giving startups and global teams a predictable path to multi-environment releases and governance.

What it gives you
  • One repo, one pipeline
  • Consistent dev/stage/prod parity
  • Room for RBAC & compliance

From messy notes to confident experiments

The lab thrives on heterogeneous data. Upload smartwatch exports, ad-spend spreadsheets, text diaries, or sensor feeds; the orchestrator harmonises everything into a single schema that the optimiser can read instantly.

  • Auto-detected languages with responses mirrored back to the user.
  • Snake_case feature names and validated search ranges enforced by the worker.
  • Bayesian-inspired scoring that surfaces the best observed day and a candidate experiment.

Demo blueprint

01

Collect

Stage-0 intake orchestrator gathers targets, features, and search spaces with schema validation at every turn.

02

Optimise

The optimisation engine evaluates your evidence set and produces the best current configuration plus the next high-leverage experiment.

03

Explain & plan

The insights mentor walks through trade-offs, hypotheses, and next logging instructions before archiving artifacts.

Ready to run your first experiment?

Book a guided onboarding or jump straight into the conversation sandbox. Evidentia Lab keeps science within reach, whether you're optimising HRV, conversion rate, or creative output.

Start the sandbox Talk with the team