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Insight locked to experts
Only analysts can query the data, so most people wait for a report.
LLM-driven analysis, natural-language querying and automated narrative that put trusted insight in plain language for every user.
Generative AI makes analytics conversational. Instead of waiting for a report, people ask questions in plain language and get answers, narratives and next steps grounded in your governed data. We build GenAI analytics that are useful and trustworthy — not demos that hallucinate.
The promise is huge; the risk is answers that are fluent but wrong.
Only analysts can query the data, so most people wait for a report.
Ungrounded LLMs sound confident and get the numbers wrong.
Pilots ignore access, lineage and accuracy, so they never reach production.
Four capabilities that make generative analytics dependable.
Ask questions of your data in plain language and get grounded answers.
Plain-language commentary that explains the numbers and the why.
Answers grounded in your governed data so they’re accurate, not invented.
Access control, lineage and accuracy checks built in from the start.
Production-ready generative analytics.
Conversational access to your data, grounded in governed sources.
Reports and dashboards that explain themselves in plain language.
Access, accuracy and lineage controls that make answers trustworthy.
A way to measure and monitor answer quality over time.
Bring a real decision or dataset — we’ll show you how KEPLER would approach it, with no obligation.
Book a 60-minute sessionWe start with a short diagnostic — the decision to improve, the data behind it, and a first slice that proves value fast. See how we engage →
From a quick diagnostic to a fully managed service — start small and scale as value is proven. How we engage →
The industries this work serves.
R&D, safety and commercial analytics.
Operational and patient-flow analytics.
Project controls, cost and schedule analytics.
Demand, pricing and customer analytics.
Quality, throughput and maintenance analytics.
From data to a trustworthy conversation.
We connect the LLM to your governed data and define the scope.
Querying, narrative and retrieval are assembled into a usable assistant.
Access, accuracy and lineage controls are wired in.
Answer quality is tested against real questions.
The assistant goes live where people already work, with monitoring.
Trusted answers and narratives, without waiting for an analyst.
The category, capabilities and expertise this connects to.
Common problems in this area, how KEPLER solves them, and the likely outcome.
Ask in plain language
View details →Every ad-hoc question joins a queue for the analytics team. Business users wait days for answers a conversation could give them in seconds.
Business users self-serving answers in plain language, with the analytics team freed for deeper work.
Minutes to synthesise
View details →The answer sits across reports, tickets and documents. Finding and summarising it by hand takes hours nobody has, so it goes unasked.
Synthesised, cited answers from a large corpus in minutes, with the sources attached.
Drafted reports & narrative
View details →Analysts spend more time writing up findings and building routine reports than analysing, so throughput and morale both suffer.
Routine reporting and write-up drafted for the team, so their time goes to analysis that needs a human.
No use cases match this filter yet — but the problem is almost certainly one we can help with.
Ask us about your problem →Tell us who needs answers and we’ll scope a grounded GenAI assistant for them.
Talk to our GenAI team
