Manufacture tailored data advisors. Multiply your reach.
Forward-deployed data science plus a workbench to train, test, release, and improve agents — so business gets a personal analyst, and your experts stop being the ticket queue.
Service + Workbench → Data Advisor
Forward-deployed, AI-accelerated
Our data scientists run the hard analysis with agent support — then train a data agent that can carry the repeatable work.
explai Workbench
The expert platform to train, test, release, monitor, and improve agents, knowledge, and statistical models under your standards.
Governed self-service
Domain knowledge, golden answers, and evaluation keep outputs on-policy — not a free-for-all chatbot on production data.
Private by design
Company-private cloud or local install. Transparent trails of what was used — built for review, compliance, and trust.
Data science-grade project — delivered as an advisor you can keep
A clear path from readiness to a living advisor — not another one-off deck.
Fast onboarding
Data, business knowledge, and golden answers are profiled for AI readiness.
In-depth analysis
Our data scientist runs the analysis with an AI agent team — and trains a data agent to carry it forward.
Interactive results
An advisor that embodies the analysis. Use it once, or as a continuous digital consultant — including local install.
Free specialists — don’t replace them
You stay owners of quality and architecture. explai absorbs the well-scoped analytical work that burns senior time, and leaves you an executable blueprint.
How analytics leaders put explai to work
Self-serve without losing control
Stand up function-level advisors IT and risk can live with — without a six-week wait per request.
Train, eval, release
Use the workbench to harden agents against golden answers as usage scales across the company.
Wire where data already lives
Warehouses, databases, files, and business systems — prove value without a big-bang cutover. Local install available.
Give the business an advisor. Keep the runway.
Start with an AI-readiness profile on your data and knowledge — then decide how deep you want the first advisor to go.