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ENIAC operators, 1945
Data science for business teams — software for faster decisions

Data analysis was self-service in 1945. Now it's yours again.

explai is an AI data analyst that also gets it right — and doesn't just decorate the data — it finds root causes, forecasts what's next, and cites every answer to your own numbers.

Programming the ENIAC, the first general-purpose electronic computer (1945) · U.S. Army photo
Why you can trust explai

Trust, built in — and compounding

  1. Train and check on your data and rulesMultiple layers of your domain knowledge help validate AI answers against known-good answers — so you can trust them.
  2. Costs less than conventional analyticsCompared with conventional data analytics, you save money — fewer specialist queues, fewer follow-on projects, and answers that stay with your team.
  3. Smarter every weekYour feedback and external signals become new domain knowledge, automatically.
The gap

Dashboards show what. Chat agents answer fast — and often invent the metric.

  • Confidently wronga sure answer built on the wrong revenue column
  • Three truthsSales, Ops and Finance each define “active customer” differently
  • Blocked questionsticketed to the Data Science team — parked in a queue

Live in 10–30 days. Then well-founded answers in minutes — row, system, definition — no Excel re-check needed.

Opened to you by explai
The questions that drive decisions — but hard for your team to reach
“How much should we stock if promo mix shifts?”No trail to defend — gut feel decides.
Undefendable guess
“Which customers churn in the next 30 days?”The chat agent only describes it; the model is still weeks away.
Weeks in backlog
“Why did margin slip — and which margin?”A clean answer — but built on the wrong numbers.
Confidently wrong
what dashboards & chat agents cover today
“What were last month's sales?”Dashboard and chat agents only repeat the pre-programmed tasks.
Dashboard / chat agent
What explai delivers

We go beyond a mere “talk to your data”

Most “data-analyst agents” narrate a chart or invent the number. explai returns cited root causes and recommendations — based on your definitions.

instead of a confident wrong answer

It catches the metric you were about to trust

Reliable Verification (Trusted Challenger)

Channel A “wins” overall but loses in every segment — explai spots it and delivers the evidence right away.

agent.explai.com
Head of Growth
Channel A wins overall — I'll shift budget there.
explai

Looking at the aggregate is misleading. Channel B converts higher on both desktop and mobile.

6% 4% 2% 0% Conversion rate Overall Desktop Mobile
Channel A Channel B

1 — Simpson's paradox (Wikipedia)

instead of one global definition that nobody owns

Every team, their own rules

Analytical Autonomy

Sales, Ops, and Finance each define “customer” differently — all correct. explai keeps every team’s “truth”.

No central IT required
Sales
842orders▲ 6%
Order-definitionclosed-won
Operations
796orders▼ 4%
Order-definitionshipped & fulfilled
Finance
713orders▼ 9%
Order-definitionrevenue recognized
Documents
Systems
Database
reconcilingdefinitions …
root cause deviationdrivers …
instead of chat agents that only describe

A full analytics team, on demand

Data Science in a Box

Chat agents stop at a metric, but explai moves on to why and what’s next.

agent.explai.com/shared/what-if
PRODUCT SKU-2048 DISCOUNT A · 10% B · 20% 0%40% EXCLUDED −8wnow+8w cutoff selected competitor launch anomaly dropped flash sale 1,813 1,288 model fitted CausalImpact Units sold

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.

instead of AI demos that fail in real production

Keep the AI solution in your business — designed to stay correct long-term

Operational Intelligence

Answers stay correct after the pilot — in production, even as your data and business rules change.

Process over time
See it work

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.

agent.explai.com · Sales Analysis

Reliable Verification (Trusted Challenger)

Query
Who it's for

Data science teams stay in control. You finally get fast answers.

The lean operator
Mid-market · building analytics capability

The lean operator

Everyone here wears three hats — we need data-science depth without building a whole bench overnight.

Sounds like you?
CFO / CEO · direct, founder-speed
Stuck with today
Excel and the occasional consultant
What you get
A partner that brings Data Science-grade analysis — and leaves an AI Advisor your team owns
The blocked department — and the data science team behind them
Enterprise · data science under load

The blocked department — and the data science team behind them

Our data scientists shouldn't spend weeks on the same recurring business questions.

Sounds like you?
Business-unit VP · with IT & data science
Stuck with today
Existing BI tool + a data-team backlog
What you get
Risk-free empowerment: governed self-service that supports your data science team — not a shadow analytics stack
Leaders love data stories

What early adopters say

explai's user experience is surprisingly easy and different from any analytics tool I have seen.
Gerald HeydenreichGerald 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.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 WittlingerThomas WittlingerChief Product Officer, OWNLY FinTech GmbH
explai.com/demo

Ask anything about your data.

See it in action
explai GmbH