Home Services Platform About Contact Start a project
Building on frontier and open-weight models

Harnessing the power of
artificial intelligence.

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.

0Requests served daily
0Platform uptime
0Models in production
0Added p50 latency
0Median spend cut
What we do

Six things, built to work together.

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

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

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

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

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

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

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
Global network topology

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
Routing core
Capacity & quota
Capacity & quota
Cost attribution
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.

PyTorch Kubernetes Postgres Terraform vLLM Kafka Snowflake Airflow Redis Grafana Docker pgvector PyTorch Kubernetes Postgres Terraform vLLM Kafka Snowflake Airflow Redis Grafana Docker pgvector

Point one workload
at the gateway.

A sandbox key takes minutes and a fortnight of shadow traffic tells you more than any proposal will. You keep the routing report either way.