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Industrial AI

AI for the people doing the work.

The Reflex suite on RealWear and existing cameras — plus the devices, licences and implementation to run it, from one accountable supplier.

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Applivity ReflexThe suite — four field products, one platform Incident AISpoken reports become structured incident records Inspection AIHands-free inspections with verified evidence Safety AIPPE & zone monitoring on your existing cameras Video Analysis AIField video becomes procedures and training Frontline stackDevices, licences & implementation · request a quote
AR/VR LabVR Fire Training — immersive demo on Meta Quest →
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AI Services

Production AI, in your environment.

Fixed scope, fixed outcome, milestone payments, no lock-in. Start with a Readiness Assessment; scale with an AI Engineering Pod.

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AI Readiness AssessmentStart here — scored use case, prototype, costed plan Production RAG / Knowledge AssistantA cited answer engine on your documents Agentic Workflow AutomationAgents that complete the process, with human gates Self-Hosted AI GatewayOne governed door to every model, in your boundary AI Engineering PodsSenior teams that own the outcome
Operating modelFixed scope · senior review · milestone payments · your AWS, Azure or on-prem
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Home / Services / AI Engineering Pods
AI Services · AI Engineering Pods

Senior teams that own the outcome.

For larger builds: a senior, AI-native product pod — pod lead, QA and DevOps included — that owns delivery, runs weekly demos and hands over knowledge. NDA-first, on your infrastructure.

Book a discovery call →See the ladder
What a pod builds

Serious systems, delivered.

Enterprise platforms

Production systems where reliability, auditability and adoption matter — architecture to production.

POC-to-MVP fast track

Your use case, demo-ready in weeks — see it running before you commit to the full build.

SAP, Oracle & legacy integration

Wired into the backends you already run, not built in a vacuum.

Three engagement models

We run it, we embed, or we hand it over.

1

We run it

A full pod owns the build end to end and delivers the outcome.

2

We embed

Our engineers join your team and lift its delivery, with senior review.

3

We build and hand over

We build it, then hand over the system and the knowledge — you own and run it.

How it's different

Product track record, not résumés.

A pod is accountable for an outcome. Pod lead, QA and DevOps are included; AI accelerates the work and a qualified engineer owns every output; delivery runs on weekly demos, NDA-first. That is what separates a pod from a pool of contractors.

Next step

Put a senior pod on your build.

A discovery call to scope the outcome, the milestones and the team.

Book a discovery call →Start with a Readiness Assessment
Common questions

Direct answers, before you commit.

How is a pod different from staff augmentation?

Staff augmentation gives you extra hands you manage. A pod is a senior, outcome-owning team — pod lead, QA and DevOps included — that owns delivery, runs weekly demos and hands over knowledge. You get an outcome, not just headcount.

What does a pod build?

Enterprise platforms, POC-to-MVP fast-tracks, and SAP, Oracle and legacy integration — end to end, on your infrastructure.

How do the engagement models work?

Three ways: we run it, we embed with your team, or we build and hand it over. All three are NDA-first with weekly demos, so you see progress from the first week.

Who owns the IP?

You do. We build alongside your teams and hand over knowledge — you own and run what we deliver.