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.
Self-service stopped at “what happened?”
Descriptive Business Intelligence (BI) went self-service years ago. Diagnostic, predictive and prescriptive analytics still belong to specialist teams — if you can get them.
explai opens new stages to business teams — Diagnostic, Predictive, Prescriptive.
We go beyond “talk to your data”
Our convictions about what it takes for AI to democratize data analysis for good — informed by our decades of data experience, packaged via AI.
Trusted challenger
We force-multiply human judgement, surface contrarian evidence, and deliver explainable results — balancing alignment with automation.
Looking at the aggregate is misleading. Channel B converts higher on both desktop and mobile.
Analytical autonomy
Business functions set the analytics rules for their domain and integrate on demand. Different departments can hold different definitions — and all of them are correct. Flexible deployment keeps IT bought in.
Data-science team in a box
Conversational BI lacks predictive and prescriptive power. We go beyond “talk to your data” to self-service, end-to-end data science.
AI-trained machine learning, with business-aligned specifications, powers interactive, collaborative what-if analysis. Three governed interventions — a training cutoff at the competitor launch, a dropped flash-sale outlier, and a CausalImpact model chosen for the horizon — keep every scenario auditable.
Operational intelligence
We automate knowledge acquisition and freshness with best-in-class test evaluation — accelerating consulting and forward engineering.
Onboard in weeks, not months
AI-supported elicitation captures definitions, assumptions and stakeholder context — a working sandbox live within days.
Extensible data-science tools
Configurable agents unlock the same toolboxes that professional data teams rely on.
Knowledge improves over time
AI-curated, human-inspected and safeguarded by automated evals against golden 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.
No data-science team? You're who we build for.
The lean operator
“Everyone here wears three hats — none of them says data scientist.”
The blocked department
“We can't wait six weeks for a ticket to reach the front of the queue.”
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