We design, build and run the AI, cloud, security and data systems behind modern products — from a single model endpoint to a platform your whole company depends on.
Most vendors sell one layer and hand you the integration problem. We build the whole path — model, infrastructure, security, data — so nothing falls between the seams.
Artificial Intelligence
Agents that finish work rather than demo it — reading the ticket, checking the system, drafting the reply, escalating where being wrong is expensive.
Retrieval over your own documents
Evaluation suites and accuracy thresholds
Fine-tuning and open-weight deployment
Human-in-the-loop escalation
Cloud
Infrastructure that survives a bad Tuesday. Autoscaling, multi-region failover and cost controls that stop a runaway job becoming a five-figure invoice.
AWS · GCP · Azure · bare metal
Kubernetes and serverless GPU
Infrastructure as code, reviewed like code
Spend alerting and circuit breakers
Cybersecurity
Prompt injection, exfiltration through a model, over-permissioned agents — the attack surface AI adds is new, and most teams have not mapped it yet.
AI-specific threat modelling
Secrets, key rotation and scoped access
Audit trails an auditor can read
PDPA and GDPR posture
Data
A retrieval layer is only as honest as the index behind it. We build the pipelines, the versioning and the freshness checks that stop a model confidently quoting last quarter.
Pipelines, warehousing and lineage
Vector stores and hybrid retrieval
Quality monitoring and drift alerts
Real-time and batch, same contract
Software
The application around the model. Web, mobile and internal tools built by the same team that built the inference layer, so the seams are ours to answer for.
Full-stack product engineering
API design and versioning
Design systems and front-end
Handover with a tested runbook
Products
Our own tools, available to you directly — a routing gateway, an evaluation harness and a monitoring console we built because we needed them ourselves.
Unified model gateway
Evaluation and regression harness
Cost attribution console
Self-host or managed
Deployed where your users are.
Eleven regions, automatic failover, and traffic that reroutes the moment a provider degrades — without a line of change in your application.
Inside the platform
Three views you get on day one.
Not a slide deck — the actual consoles your team logs into, running in your own infrastructure.
Routing core
Capacity & quota
Cost attribution
How we work
Four stages. Stop after any of them.
Each stage produces an artefact in your own repository. You can stop at any point and what exists still runs.
01
Trace
We instrument what you already run and read a week of real traffic. Most of what happens next comes out of that log, not a workshop.
02
Route
One workload moves behind the gateway with your fallback list and thresholds. Nothing user-facing changes while the numbers come in.
03
Harden
Schema validation, bounded retries, spend ceilings and the alerting that tells you before a customer does.
04
Hand over
Config, evaluation set and runbook in your repository. Whether we stay on is a decision you make with the numbers in front of you.