Applied AI deployment company

Start with the work. Build AI that helps.

We help businesses and focused teams choose one well-defined problem, build an AI solution around how the work actually happens, and support the people putting it into use.

deployment-path / decision-workflow
OpenAI Select Partner

As an OpenAI Select Partner, we help organizations build, deploy, and scale AI solutions responsibly and effectively.

The starting point

Begin with a piece of work that matters.

You may already see a task, decision, or recurring bottleneck where AI could help — but not yet know what to build or which tools to use. We help you examine that work, decide whether AI is a sensible fit, and identify a practical place to begin.

Our point of view

The technology isn't the starting point. The work is.

The right place to begin is where information gets stuck, decisions take too long, or valuable time disappears. We understand that work first — then decide whether AI belongs there and how to put it into use responsibly.

Design around the real work, test with the people involved, and build something useful enough to earn a place in the workflow.
The method

Choose what matters. Build around the work. Make it useful.

Three practical stages take an engagement from the initial question to a solution designed for real use.

01

Choose what matters.

We examine the work and identify one problem that is valuable, feasible, and appropriate for AI.

02

Build around the work.

We design, test, and deploy around the real workflow: the information involved, the people making decisions, the tools in use, and the controls the solution needs.

03

Make it useful.

We prepare your team to use and manage the solution, with practical training, clear responsibilities, and support during adoption.

See how a project works
Human control

Clear boundaries. Human judgment where it matters.

Before deployment, we agree what the system may do, what requires human review, and what remains off-limits. We also explain what information it uses, where that information is processed, and which controls are available.

The system can act within explicitly agreed limits. A named person reviews before the next action is taken. The system is not permitted to take this action at all.
How human review works
In their words

What clients say about our work.

The Kellblog Companion reorganizes decades of posts into a structured knowledge base that’s easier to browse by topic, easier to search, and easier to use when you’re trying to answer a particular question.”
Dave Kellogg, Independent Consultant & EIR at Balderton Capital Case study
ontopraxis helped us turn a complex technology portfolio into a lightweight, practical sales tool. The result strengthens specialist judgment without trying to replace it.”
North America Business Development Leader,
Global IT Infrastructure player
Case study
Sovereign AI Vector is an impressive and much-needed resource for anyone following global AI sovereignty — a clear view of the policies, events, and strategic moves shaping this space.”
Raunak Jagasia,
Director, Savex Technologies Pvt. Ltd.
Case study
On a complex M&A target-screening exercise, ontopraxis showed us how applied AI can support real commercial decisions — not as a black box, but as a disciplined, auditable part of the process.”
Independent M&A Advisor,
for a UK technology company
Case study
Start a conversation

Let's find the right place to begin.

Tell us about a task, decision, or recurring bottleneck. We'll ask practical questions and give you an honest view on whether AI could usefully help — and whether we're the right fit.

Start a conversation curious@ontopraxis.ai