Outcome before output
We scope to a metric you care about — cost, time, capacity, revenue. Activity that doesn't move a number doesn't make the plan.
About
We started Praxor to close the gap between AI hype and AI value.
Most businesses don't need more AI strategy — they need it built and adopted. That's the gap we close. We built a different kind of firm — one that stays in the room from the first whiteboard to the day your team runs the system without us.
Our take
AI is an operations problem wearing a technology costume.
The models are commoditised. The advantage now comes from judgement — knowing which problems are worth solving, designing the work around them, and getting real humans to adopt the result.
That's why we don't split strategy from engineering, or engineering from adoption. The same team that diagnoses your workflows is the team that writes the code and sits with your people during rollout. It's slower to staff and harder to scale — and it's the only way we've seen AI consistently pay off.
Who we are
A small senior team. Strategists who can code, engineers who get the business.
Senior by default
No army of juniors learning on your project.
You work directly with the people doing the thinking and the building. Lean teams, high ownership.
Tool-agnostic
We pick what fits, not what we resell.
We're not tied to one vendor or platform. The right answer is whatever moves your metric — including, sometimes, "don't build this."
Plain language
Zero jargon, total transparency.
You'll always understand what we're doing, why, and what it costs. If we can't explain it simply, we don't understand it well enough yet.
Secure by design
Built to pass your security review.
Data security, access control, and governance are designed in from day one — not bolted on. Enterprise buyers can put us through the process with confidence.
The team
The people you'll actually work with.
Senior practitioners, not a layer of account managers. You work directly with the people who design and build your systems.
Elad [Surname]
Founder · AI strategy & delivery
One-line credential goes here — e.g. “12 years leading data & automation; ex-[Company]; shipped production AI for [domain].”
[Name]
[e.g. Lead AI Engineer]
Short, concrete bio — production systems shipped, domains of expertise, notable past employers.
[Name]
[e.g. Delivery & Change Lead]
Short, concrete bio — adoption and change-management track record across real rollouts.
Contact
Book your free AI audit.
Tell us a little about your business. We'll come back within two working days to set up a session — and you'll leave it knowing exactly where AI is worth it for you, whether or not we work together.
Email
Phone
Response time
Within 2 working days
Where we work
Remote-first · on-site for key phases
Prefer to skip the form? Just email us directly — a real person reads every message.