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ENIAC operators, 1945
Agentic data science · for business teams

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.

Programming ENIAC, the first general-purpose electronic computer · 1945 · U.S. Army photo
The gap

Self-service stopped at “what happened?”

Descriptive BI went self-service years ago. Diagnostic, predictive and prescriptive analytics still belong to specialist teams — if you can get them.

explai opens stages 2–4 to business teams.

01
DescriptiveWhat happened?
Self-service BI
self-service ceiling — where BI has sat since 1985
Specialist territory — opened to business teams by explai
02
DiagnosticWhy did it happen?
Data analysis
03
PredictiveWhat will happen?
Machine learning
04
PrescriptiveHow do we make it happen?
Decision science
Our convictions

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.

01instead of data decorator

Trusted challenger

We force-multiply human judgement, surface contrarian evidence, and deliver explainable results — balancing alignment with automation.

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
02instead of global initiatives

Analytical autonomy

Business functions set the analytics rules for their domain and integrate on demand. Flexible deployment keeps IT bought in.

Sales
842orders▲ 6%
DEFclosed-won
Operations
796orders▼ 4%
DEFshipped & fulfilled
Finance
713orders▼ 9%
DEFrevenue recognized
Docs
APIs
Database
reconcilingdefinitions …
root cause deviationdrivers …
03instead of BI

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.

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

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.

04instead of demos

Operational intelligence

We automate knowledge acquisition and freshness with best-in-class test evaluation — accelerating consulting and forward engineering.

Business AI Consultant

Governed, compounding IP

01 · Onboarding

Onboard in weeks, not months

AI-supported elicitation captures definitions, assumptions and stakeholder context — a working sandbox live within days.

02 · Tooling

Extensible data-science tools

Configurable agents unlock the same toolboxes that professional data teams rely on.

03 · Evaluation

Knowledge improves over time

AI-curated, human-inspected and safeguarded by automated evals against golden answers — so outputs sharpen with use.

04 · Compounding

Compounds across your teams

Sales, operations and finance build on one knowledge base — each team’s use sharpens answers for the next.

Who it's for

No data-science team? You're who we built for.

Whether you're a mid-market company with no data team, or an enterprise department stuck in the data-team queue — explai puts analyst-grade results in your hands.

The lean operator
Mid-market · no data team

The lean operator

Everyone here wears three hats — none of them says data scientist.

Who signs
CFO / CEO · direct, founder-speed
Coping today
Excel and the occasional consultant
We sell
A company-wide platform
The blocked department
Enterprise · no data-team access

The blocked department

We can't wait six weeks for a ticket to reach the front of the queue.

Who signs
Business-unit VP · via IT & procurement
Coping today
Existing BI tool + a data-team backlog
We sell
Departmental, team-level adoption
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