From the first architecture decision to the system running in production.

01 — Start here

AI Architecture & Advisory

The decisions made in week one determine whether your AI programme becomes a durable asset or an expensive prototype. We make those decisions with you — model selection, cloud, data boundaries, cost envelope and the reference architecture your team builds against.

• Model selection matched to the use case — frontier, mid-tier, open-weight or fine-tuned — with measured quality and cost per task rather than vendor marketing.
• Cloud and infrastructure fit: AWS Bedrock, Azure OpenAI, GCP Vertex or self-hosted GPU, chosen against your compliance, latency and spend constraints.
• Data protection by design — zero-retention endpoints, contractual no-training terms, PII redaction, tenant isolation and full audit trails, so customer data never becomes training data.
• Build-versus-buy analysis, total cost of ownership modelling, and a phased roadmap from pilot to production.
• Reference architecture, evaluation harness and guardrail specification your engineers can implement directly.

02 — Our specialism

Agentic AI Systems

Multi-agent systems that do real work: an orchestrator that routes intent, specialist agents that each own a domain, tool and data access that is scoped and observable, and supervision that keeps the whole thing inside its guardrails.

• Orchestrator and sub-agent design — clear ownership boundaries, deterministic routing, and consolidation of results into one trustworthy answer.
• Tool use and function calling wired into your real systems: ERP, CRM, data warehouse, ticketing and internal APIs.
• Human-in-the-loop checkpoints, approval gates and escalation paths for anything consequential.
• Full tracing, evaluation suites and regression testing, so agent behaviour is measurable before and after every change.
• Voice and multimodal interfaces where they genuinely reduce friction.

03 — Grounded answers

RAG & Enterprise Knowledge

Retrieval systems that give correct, citable answers over your own documents — contracts, clinical study reports, SOPs, claims files, engineering manuals — with the retrieval-quality engineering that most implementations skip.

• Document parsing and chunking tuned per corpus, including tables, forms and scanned material.
• Hybrid retrieval — vector plus keyword plus rerank — measured against a golden question set rather than intuition.
• Citation and grounding enforcement, with explicit refusal when the corpus does not support an answer.
• Structured generation for long, section-by-section documents where each section has its own rules.
• Continuous evaluation for hallucination rate, retrieval recall and answer completeness.

04 — Customer-facing

AI Assistants & Website Agents

Production assistants for your website, your product and your internal teams — deployed, monitored and owned end to end. Including an agent embedded in your site that answers for your business rather than deflecting.

• Website and in-product agents that know your catalogue, pricing, policies and documentation.
• Channel integration across web, WhatsApp, email, Slack, Teams and voice.
• Guardrails, prompt-injection defence, PII handling and safe-completion policies.
• Analytics on containment rate, deflection, satisfaction and cost per conversation.
• Hosting on your cloud or ours, with SSO, rate limiting and per-tenant isolation.

05 — Regulated domain

Healthcare & Life Sciences AI

Hands-on work across clinical and payer workflows: clinical documentation, medical record and claim review, regulatory writing support and litigation support — built for environments where being wrong has consequences.

• Medical document verification and analysis — extraction, normalisation and cross-checking across records.
• Claim review: detecting misleading or unsupported statements, and flagging missing patient information before submission.
• Clinical data specialist support — study datasets, documentation and data quality review.
• Regulatory and FDA submission drafting assistance with retrieval-grounded, section-aware generation.
• Healthcare litigation support: chronology building, record indexing and issue spotting across large document sets.

06 — Applied ML

Computer Vision & Geospatial

Detection, counting and change-monitoring systems that run continuously on real-world imagery — highway camera feeds, facility cameras, drone capture and satellite imagery — at production accuracy.

• Object detection, tracking and counting with YOLO-family and custom models.
• Satellite and aerial analysis: warehouse, container and site monitoring with month-over-month change detection.
• Feed acquisition and pre-processing at scale, including sampling strategies that cut compute cost sharply.
• Serverless inference pipelines that scale to thousands of frames without manual intervention.
• Integration into GIS, BI and transport management systems, so the output lands where decisions are made.

07 — Foundations

Data Platforms & Analytics

The layer everything else depends on — pipelines, warehouse modelling, and the natural-language analytics interfaces that let non-technical teams ask their own questions.

• Warehouse and pipeline engineering on Snowflake, Postgres and cloud-native stacks.
• Text-to-SQL assistants with query validation, cost guards and plain-language summarisation of results.
• Executive dashboards in Power BI and Dash, built from requirements gathered with the people who use them.
• Data quality, lineage and observability, so the numbers survive scrutiny in a board meeting.

08 — Operations

BPM, CX & IT Services

Process, customer experience and engineering capacity — the operational work that turns an AI capability into a running service, delivered by the team that also builds the AI.

• Business process mapping, automation assessment and workflow redesign.
• Customer-experience operations: contact-centre augmentation, quality monitoring and agent assist.
• Application development, cloud migration and ongoing managed support.
• Dedicated engineering pods for teams that need capacity rather than another vendor.