Enterprise AI, grounded in operational reality

Advisory, agent development, integration engineering, and managed operations for enterprises building with Claude. Delivered by a team that runs the data platforms your AI depends on.

Faster delivery, lower engineering cost

Claude-assisted discovery, build, and review cycles mean fewer hands per feature and shorter time to production.

Security-first engineering

Access control, secrets, audit, and data residency designed in from day one, not retrofitted after a security review.

Production-grade by default

Retries, idempotency, observability, and evaluation baked into every system. No brittle demo code reaching production.

Domain expertise you can use

Engineers who run Cassandra and Kafka estates in the real world, bringing that operational lens to every AI engagement.

Where we work

Industries where operational data is the hard part

Our engagements cluster around regulated, streaming-heavy, and data-platform-dependent organisations. These are the environments where generic AI consultancies struggle and domain experience pays off.

Financial services

Regulated environments where data residency, auditability, and BYOAI are non-negotiable.

Telecommunications

Streaming-heavy estates where Kafka reliability and real-time enrichment matter.

SaaS and platforms

Teams embedding Claude into customer-facing products and internal control planes.

Public sector

Organisations that need private deployments, strict governance, and clear accountability.

How we work

A predictable four-step engagement model

Every engagement follows the same shape so clients can plan, budget, and govern the work with confidence. No ambiguity about what happens next.

Discover

Joint assessment of the problem, data sources, constraints, and success criteria. Short, outcome-led.

Design

Reference architecture, model and agent choices, evaluation plan, and a costed delivery roadmap.

Build

Hands-on engineering with your team: agents, integrations, retrieval, evaluation, and deployment.

Operate

Run the system after launch: SLOs, drift monitoring, cost control, and ongoing iteration.

Featured work

Case studies, as engagements complete

We will publish case studies as our first engagements reach steady state. Until then, specific examples are available under NDA on request.

Coming soon

Agent-assisted incident response

Claude-powered agents triaging data-platform incidents against production runbooks, with human-in-the-loop approvals.

Coming soon

Operational RAG on streaming data

Retrieval across live Kafka topics and historical stores so engineers can ask questions in natural language and get verifiable answers.

Coming soon

BYOAI platform rollout

Enterprise-wide Claude rollout using the customer's own Anthropic contract, with governance, audit, and evaluation built in.

Responsible AI

Built for the environments procurement actually signs off

Enterprise AI has to survive legal, compliance, and security review. We design and deliver with those reviewers in the room from day one.

Talk to our AI team
Bring Your Own AI Use your own Anthropic, Azure, or cloud-provider account. Your contracts, your data controls.
Data stays in scope We design for data residency, minimum-necessary access, and clear retention boundaries.
Auditable by default Prompts, tool calls, and decisions are logged so reviewers and auditors can trace outcomes.
Evaluated before shipping Every agent and integration is measured against a domain-specific evaluation set before production.

Let's talk about what you're building

Whether you're scoping a first Claude deployment or operating a fleet of agents in production, we can help. Start with a conversation.