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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. It 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
The gap

Dashboards show what. Chat agents just say it faster.

  • Confidently wrong: AI presents a clear answer, but mixed up columns in the data.
  • For the same term, three truths exist: Sales, Ops and Finance each define “active customer” differently.
  • Blocked decisions: Finished analysis from the Data Science team is still pending.

explai is live in 10–30 days, then you get well-founded answers in minutes (cited to the row, system, and definition behind them): no Excel re-check needed.

Unlocked by explai
The specialist zone
“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
Where self-service stops
“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

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.

Learn why1
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 explains the reason and suggests next steps.

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

Even after the pilot project, answers stay correct once integrated into daily work: even as data and business rules change in the future.

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

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
Reduced-risk 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: AI Data Agent for Faster, Trustworthy Data Analysis