The gap
The people who know what questions to ask are the furthest from the answers.
Your business generates data constantly. Sales numbers, inventory movements, customer patterns, cost variances. But for most operations teams, that data sits locked inside systems that require a specialist to query, a week to process, and a meeting to explain. By the time the report lands, the moment has passed.
This is not a technology problem. It is an access problem. Theovya changes that. Not by replacing your team or your systems, but by making what you already have work properly.
Three layers of value
Layer one is the natural starting point. Each layer compounds the last: the further you go, the more your business runs on its own intelligence.
Search, join, and visualise all your data in one place. Ask questions in plain language, get answers instantly. No analyst queue. No SQL. No waiting a week for a report that answers the wrong question.
Explore the Analytics EngineAutomated machine learning built on your tabular data. Calibrated probabilities with full explainability. Works for the prediction targets your business actually uses, not generic models fitted to generic problems.
Explore the Prediction EngineMathematical optimization that turns predictions into decisions. Plug in your business rules and constraints. Get actionable allocations, not just scores. This is where the system stops reporting and starts running.
Explore the Optimization EngineOne question, three engines
There is a second cost inside every data-driven decision, and it has nothing to do with software: the organizational relay race required to produce it. Theovya compresses that relay from months of project work to hours of conversation.
All three share one design principle: the language model never invents an answer. It only translates intent into verifiable computation.
That separation is what keeps invented numbers out of every answer: by construction, not by prompt engineering.
How we work
Every engagement starts with understanding how your business actually runs, not how the org chart says it runs.
days → seconds
Time to answer a business question
read-only
Access, cloud or on-premise
stage 01 in days
Time to first value
finance · logistics · ops
Built for these teams
The gap
The people who know what questions to ask are the furthest from the answers.
Your business generates data constantly. Sales numbers, inventory movements, customer patterns, cost variances. But for most operations teams, that data sits locked inside systems that require a specialist to query, a week to process, and a meeting to explain. By the time the report lands, the moment has passed.
This is not a technology problem. It is an access problem. Theovya changes that. Not by replacing your team or your systems, but by making what you already have work properly.
Three layers of value
Layer one is the natural starting point. Each layer compounds the last: the further you go, the more your business runs on its own intelligence.
Search, join, and visualise all your data in one place. Ask questions in plain language, get answers instantly. No analyst queue. No SQL. No waiting a week for a report that answers the wrong question.
Explore the Analytics EngineAutomated machine learning built on your tabular data. Calibrated probabilities with full explainability. Works for the prediction targets your business actually uses, not generic models fitted to generic problems.
Explore the Prediction EngineMathematical optimization that turns predictions into decisions. Plug in your business rules and constraints. Get actionable allocations, not just scores. This is where the system stops reporting and starts running.
Explore the Optimization EngineOne question, three engines
There is a second cost inside every data-driven decision, and it has nothing to do with software: the organizational relay race required to produce it. Theovya compresses that relay from months of project work to hours of conversation.
All three share one design principle: the language model never invents an answer. It only translates intent into verifiable computation.
That separation is what keeps invented numbers out of every answer: by construction, not by prompt engineering.
How we work
Every engagement starts with understanding how your business actually runs, not how the org chart says it runs.
days → seconds
Time to answer a business question
read-only
Access, cloud or on-premise
stage 01 in days
Time to first value
finance · logistics · ops
Built for these teams
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