AI EDGE

A production AI system running in your environment.

Our flagship engagement. It ends with working software, a secure reference architecture, and a center of excellence your team runs.

Talk to Us About AI Edge

THE GAP

Most AI never leaves the notebook.

A working demo is the easy part. The hard part is everything around it: data you can trust, controls someone owns, proof it still works next quarter, and a team that can run it without us.

"The core barrier to scaling is not infrastructure, regulation, or talent. It is learning."
MIT NANDA, The GenAI Divide: State of AI in Business

MIT NANDA found 95% of organizations saw no measurable return from their GenAI pilots. We take that literally. AI Edge leaves behind evals your team reruns, patterns your team reuses, and engineers who can explain every decision.

INSIGHT

Why the pilot isn't the product

The gap between a model that works in an experiment and a system a business depends on.

Read the post

THE PRACTICE

What exists when we leave.

Tailored to your unique business needs and use cases.

A production AI system

Software running on your data, used by your people.

A secure reference architecture

How data moves, where identity is checked, where the boundaries are. Written down and already in use.

Agentic workflows in production

Agents doing production work, with the safeguards already in place.

A working eval harness

Tests that catch a regression before your users do.

An operating center of excellence

Standards and ownership, so the next system starts from the first one.

A team that can run it

Your engineers, trained by building it with us.

THE AI EDGE DIFFERENCE

We don't sell AI strategy. We build the first system with you. Your team is set up to build the next.

THE CENTER OF EXCELLENCE

AI Edge ends with a practice, not a handoff document.

Standards, gates, an owner, and a scorecard. Built on the first system, proven on the second.

Standards live in the repo

Reference architecture, agent controls, and identity patterns, checked in as templates. The second system starts from them.

Gates run in CI

Every model, prompt, and tool change passes its evals before it reaches users. Automated checks, human sign-off.

A named practice lead

One Kinetic Edge engineer who has shipped this pattern before, paired with one of yours.

Measured on your numbers

Systems in production, eval coverage, and how many of your engineers ship without us.

THE STANDARD

We hold ourselves to it first.

The reference architecture we bring to AI Edge is the one we run ourselves. The eval harness is the one we ship. When we say a pattern holds under production conditions, it's because we've watched it hold.

CASE STUDY

A Fortune 500 healthcare engineering team, from notebook to production.

How one system became a practice, and what it returned.

Read the case study

HOW IT STARTS

Access first. Then a target.

One system first. The rest builds outward, at the pace your environment sets.

Access

Your cloud, your identity provider, your data, your CI. No parallel sandbox to migrate out of later.

Scoping

Short and specific. The data a first system would need, the controls it has to satisfy, and who would own it.

The first target

One system, chosen to prove the architecture. It touches production data and has a user who'll notice if it's wrong.

CONTROLS BEFORE LAUNCH

Code, AI, and agents. Controls are in the architecture before anything ships.

FIT

Built for a specific kind of team.

Most teams start with a scoped engagement. See where to start

This is for you if

You need AI working in production, not just in a demo.
You have a real problem to solve and the data to work with.
Your engineers want to learn by building alongside us.
You want your team to own what we build.

This isn't for you if

You're looking for a research report or a roadmap deck.
You'd rather keep outside engineers out of your systems.
You'd rather your team stay out of the build.
You want a large team of junior engineers.

FAQ

Questions about AI Edge.

Let's talk about what you'd ship.

Tell us your environment and your ambition. We'll tell you whether AI Edge fits.

Start a Conversation