AI & Generative AI Solutions
Build and run production AI systems: large language models, retrieval pipelines, agentic workflows, conversational interfaces and real-time voice agents engineered to scale.
Applied AI, distributed backends and cloud infrastructure, architected and delivered by a compact group of senior engineers who stay through load, launch and the months after.
Capabilities
Six disciplines, one delivery team: applied AI, backend systems, enterprise platforms, cloud, product and senior technical counsel.
Build and run production AI systems: large language models, retrieval pipelines, agentic workflows, conversational interfaces and real-time voice agents engineered to scale.
Full-lifecycle engineering across high-performance microservices, event-driven architectures, cloud-native rollouts, CI/CD automation and MLOps pipelines under real load.
Fold AI and modern services into established enterprise estates, spanning ERP suites, service management, collaboration tools and identity, without interrupting daily operations.
Complete product engineering from first concept through to production: considered interfaces paired with backends that hold up, delivered at pace.
Automate repetitive operations, wire your SaaS tools together and build intelligent data pipelines, recovering hundreds of team hours a month without replacing your stack.
Reach senior technical talent and strategic guidance to assemble high-performing teams and carry your technology programme forward with confidence.
Where We Deliver
The estates our IT services land in most often, each with its own constraints on latency, compliance and scale.
Retrieval-backed knowledge assistants, service desk agents, integrations across ticketing and documentation systems, and workflow automation for large internal platforms.
Real-time voice agents for inbound and outbound call handling, covering support, qualification and back-office workflows at conversational latency.
GPU-accelerated vision pipelines for image similarity, visual search and catalogue intelligence across inventories in the tens of millions.
Event-driven distributed platforms, transaction processing at millions of events a day, and analytics built for financial operations and reporting.
Integration layers over core ERP systems, plus API-driven connectors into collaboration, identity and directory services, deployed on private or public cloud.
Our Work
A sample of the AI and platform systems we have designed, built and run in production.
A retrieval-grounded research workspace that reads an organisation's entire document estate, cites every claim back to source, and refuses to answer when the evidence is thin.
An event pipeline ingesting several million records an hour into a columnar store, with sub-second dashboards, replayable streams and tenant-level isolation throughout.
Low-latency duplex voice infrastructure: streaming transcription, barge-in handling and synthesis routed through a resilient media layer holding well under 400ms round trip.
A durable orchestration layer for long-running agent workflows, with checkpointed state, typed tool contracts, replayable runs and human approval gates on privileged actions.
GPU-batched embedding pipeline over a catalogue of tens of millions of images, with approximate nearest-neighbour search returning visually ranked matches in under 80ms.
A double-entry ledger built on an append-only event log with deterministic replay, idempotent ingestion and reconciliation that has not lost a record in production.
Sensor ingestion at the edge with on-device inference, store-and-forward buffering over unreliable links, and operator tooling built for control rooms rather than dashboards.
A staged decomposition of a fifteen-year-old monolith into deployable services, with a strangler proxy, contract tests and zero customer-visible downtime across the cutover.
Whether you’re shipping an AI product, rebuilding a platform that has outgrown itself, or looking for engineers who have done it before, start with a free technical scoping call.