What We Do
Production AI
Systems Engineering.
We don't consult. We build the layer between your AI ambition and your production reality – then operate it.
Four areas.
One coherent
stack.
Each service operates independently or as part of a fully integrated engagement. All of them are rooted in the same conviction: AI only creates value when it runs reliably in production.
AI Performance
End-to-end performance engineering across the inference stack. We target latency, throughput, and cost simultaneously – without compromising model quality.
LLM Architecture
Model architecture selection and co-design. We evaluate the tradeoffs between foundation models, fine-tuning, and custom training – then build the right system for your constraints.
Stack Optimisation
Full-stack observability and systematic optimisation. From GPU memory hierarchy to application-layer caching – we find and remove every unnecessary millisecond and dollar.
Knowledge Transfer
We don't create dependency. Every engagement is structured to leave your team more capable than we found them – with documentation, runbooks, and embedded training.
Diagnostic → Intervention → Redesign.
Diagnostic
A structured technical audit across your full inference stack – from CUDA kernels to serving topology – before touching a single line of code.
Intervention
Targeted engineering at the highest-leverage layer. We operate where the metric moves fastest – not where it's easiest.
Redesign
Where intervention isn't enough, we rebuild. New architecture, new hardware strategy – fully documented and handed to your team.
Every engagement begins with a Diagnostic
– never a proposal.
We've never seen two production AI systems with the same problem. Generic proposals produce generic solutions. We start with what's actually wrong – then scope from there.
Infra teams.
ML platform teams.
CTOs.
01
Infra Teams
Carrying AI workloads on infrastructure that wasn't designed for them. We embed at the hardware and systems layer – not above it.
02
ML Platform Teams
Building the internal platform that every AI product team depends on. We accelerate the critical path and remove the performance ceilings you didn't build.
03
CTOs
Accountable for AI velocity but blocked by systems complexity. We translate engineering reality into strategic clarity – and close the gap between the two.
Start with what's actually wrong.
No RFP. No proposal. A structured diagnostic that tells you exactly where your production AI is losing performance and why.