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For data & analytics teams

Manufacture a reliable, tailored AI advisor. Multiply your reach.

We partner with your team:

  • forward-deployed data science
  • a Workbench to train, test, release and evaluate agents
  • a personal analyst for every business team
  • quality stays with you
Service
Forward-deployed data science
AI-accelerated experts run the hard analysis.
Product
explai Workbench
Train · test · release · monitor agents.
Product
explai Data Advisor
Personal analyst the business can keep.
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Team experience

Where our people have delivered

The blueprint

Service + Workbench → explai Data Advisor

Forward-deployed, AI-accelerated

We work alongside your data scientists:

  • we take on the hard analysis
  • then we train an agent
  • the agent handles the repeatable work under your standards
Data analytics team
Workbench for data teams / consultants
Cloud or local
All systems operationalP0 · 0
Dependencies
PostgreSQLOperational
RedisOperational
Checkpointer poolOperational
Live agent runsOperational
Workers
Data ingestion1 live
Data knowledge1 live
Evaluation1 live
Project jobs1 live
LLM providers

Workbench tailors and quality-assures agents, data, knowledge and decision models.

Advisor feeds back traces and learnings for evaluation and tuning.

Data Advisor for business teams
Cloud or local
How is the index distributed?
Cases413
Mean96.0
Spread±12.5%
In range98.5%
Workbench · for data teams

Encode the knowledge. Prove it before it ships.

Your team encodes the domain in the wiki once:

  • KPIs, definitions, business rules and checks
  • after that, every change has to clear the golden set
  • only then does the business see it
Workbench for data teams / consultants
Cloud or local
Wiki Knowledge Graph
Wiki knowledge graph. The domain encoded once, so the Advisor has grounds to disagree.
Cloud or local
Sales Analysis · Evaluation #36sales_analysis_golden_set.csv
completedAnalyst
Results
Total Items24
Success23
Failed1
Overall Score0.96
Evaluation criteria met. Score mean is above threshold 0.8: 0.96
Configuration
Evaluation #36. The Sales Analysis golden set: 23 of 24 cases pass, 0.96 against a 0.8 threshold.
See it work

The challenge is encoded. Watch the Advisor push back.

Promo 1 looks like a 12% win, and a Europe-wide flash rollout is on the table. The Advisor:

  • tests the claim against the wiki and evaluation above
  • stops the rollout
  • puts a pilot on the table instead
Data Advisor · for the business

The Advisor is the door this decision has to pass.

explai is the control, not a replay of the dashboard:

  • The business can ask for the flash rollout.
  • It only goes through if it survives the challenger rule in the wiki.
  • You proved that rule on the golden set.

Below, the same question, live in the product. The Advisor:

  • tests the Q3 claim of 12% against the encoded rule
  • shows every step and names the blockers the table doesn’t show
  • lets no blanket rollout through and proposes a pilot with a holdout group instead
Query
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Where data teams plug in

How analytics leaders put explai to work

Enablement

Reduced-risk empowerment for the business

Stand up a function-level AI advisor that IT and risk can live with: business moves faster and Data Science keeps control, without a six-week wait per request.

Platform & quality

Train, eval, release

Use the Workbench to harden agents against golden answers as usage scales across the company.

Architecture

Wire where data already lives

Data warehouses, databases, and business systems: quick wins instead of risky cutovers. Local installation available.

Common questions

Answers to what people actually ask

What is the “explai Workbench”?

It’s the middle piece of explai’s blueprint: a forward-deployed, AI-accelerated data scientist plus the explai Workbench (the platform where your team trains, tests, releases, monitors, and improves agents, knowledge, and predictive models), together producing the explai Data Advisor your business actually uses.

How do you keep AI agents from going off-policy once they’re handling repeat work?

Domain knowledge and ongoing feedback keep every agent on-policy, hardened against golden answers before it ever reaches the business. It’s data science in a box: your analytics team’s capacity, without the headcount, and still under your standards.

Can this run in our own private cloud instead of a shared or public one?

Yes, it’s private by design: company-private cloud or a local install, with a transparent trail of what data and definitions fed every answer.

Is it explai or explain?

explai, no “n” at the end. The name comes from explainable AI. Search engines sometimes correct “explai” to “explain”; if that happens, go to explai.com directly.

Partner with your data team

Give the business an AI advisor. Keep Data Science in the driver’s seat.

Start with an AI-readiness profile on your data and knowledge, then decide how deep you want the first AI advisor to go, with your data science standards intact.

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AI Data Agent Platform for Data & Analytics Teams | explai