Data analysis was self-service in 1945. Now it's yours again.
Real data science, at business speed — explainable enough to trust, clear enough to make your whole team fluent in their own data.
Dashboards show what. Chat agents answer fast — and often invent the metric.
- Confidently wrong — a sure answer built on the wrong revenue column
- Three truths — Sales, Ops and Finance each define “active customer” differently
- Stuck questions — why · what’s next · what to do — parked in a ticket queue
Live in 10–30 days. Then cited answers in minutes — row, system, definition — no Excel re-check before the board.
We go beyond “talk to your data”
Most “data analyst agents” narrate a chart or invent the numbers behind it. explai returns cited root causes and recommendations — on your definitions — so managers decide in the meeting without a silent wrong number.
It catches the metric you were about to trust
When Channel A “wins” overall but loses in every segment, explai flags it — with the evidence. You don’t shift budget on a hallucination dressed as analysis.
Looking at the aggregate is misleading. Channel B converts higher on both desktop and mobile.
Every team, their own rules
Sales closed-won, Ops shipped, Finance recognized — different definitions, all correct for their domain. Agents without that context invent one “truth” and break trust.
A full analytics team, on demand
Conversational BI and file-chat agents stop at summary numbers. We go to root cause, forecast, and “what should we do” — self-service end-to-end data science.
Ask a what-if question — like how a competitor launch or a flash sale might change your forecast — and explore the scenario together with evidence you can take into the room.
Answers you can act on tomorrow
We automate knowledge acquisition and freshness with automatic checks against known-good answers — so the advisor stays right after the pilot, when your data and unwritten rules shift.
Onboard in days, not months
AI-supported elicitation captures definitions, assumptions and stakeholder context — a working sandbox live within days. Fitting explai into daily routines takes that onboarding time; answers after that are measured in minutes.
Extensible data-science tools
The explai software unlocks the same toolboxes that professional data teams rely on.
Knowledge improves over time
AI-curated, human-inspected and safeguarded by automatic checks against known-good answers — so outputs sharpen with use.
Compounds across your teams
Sales, operations and finance build on one knowledge base — each team’s use sharpens answers for the next.
A decision that looked obvious — until the data pushed back
Promo 1 looks like a 12% win. A Europe-wide flash rollout is on the table. Watch explai challenge the premise before the expensive mistake ships.
Trusted Challenger
Data science teams stay in control. Business gets answers faster.
The lean operator
“Everyone here wears three hats — we need data-science depth without building a whole bench overnight.”
The blocked department — and the data science team behind them
“Our data scientists shouldn't spend weeks on the same recurring business questions.”
What early adopters say
“explai's user experience is surprisingly easy and different from any analytics tool I have seen.”
Gerald HeydenreichFounder EtherMail & Barcelona Blockchain Network“I invested in explai for it's agent orchestration of an advanced analytics toolbox being an impressive work of engineering with high potential for customer value.”
Andreas Junghanns, Ph.D.Founder & former CEO QTronic GmbH“As a product manager, I often depended on others for data. explai's focus on autonomy and personal empowerment flips the script.”
Thomas WittlingerChief Product Officer, OWNLY FinTech GmbH