We help organisations identify the right opportunities, engineer practical AI and cloud solutions, and take them into production.
Most organisations do not lack technology options. They lack a clear route from a good idea to something that works in production.
A proof of concept impresses in a demo, then stalls when it meets real users, real data and real systems.
Teams re-key data between systems, chase approvals and rebuild the same reports by hand.
Valuable data sits in silos, so models and dashboards cannot act on the whole picture.
Environments grow faster than the practices that keep them secure, resilient and affordable.
Solutions
Generative AI, retrieval and AI agents connected to your enterprise systems, with the controls, evaluation and human oversight to run them safely.
Delivery model
Engineers working alongside your teams to prototype, integrate and ship solutions that run in your environment.
See how it worksFoundation
Architecture, migration, data platforms, security and cost optimisation on AWS, built to run in production.
Explore cloud solutionsOperations
We operate, monitor and continuously improve what we build, so it keeps delivering after go-live.
Explore managed servicesCloudStraight joins architecture and execution. We don't deliver a design and leave: our architects stay close to implementation, validate designs in your real environment and help build through to production. We have worked this way since 2019. Today the approach has a name many people recognise: Forward Deployed Engineering.
Discover Forward Deployed Engineering
Business and technical, with the people who own the process.
We only design what we are confident we can build.
Prototypes and technical checks before the architecture is approved.
Alongside your team, in your environment.
We stay through go-live and refine from real usage.
One delivery framework runs through every engagement, whether you need a single solution or a long-term partner.
Identify high-value opportunities, assess data and systems, and agree an architecture and roadmap tied to business outcomes.
Clarity on what to build and why.
Prototype, integrate and engineer solutions on AWS, with security, governance and evaluation designed in.
Solutions that work with real data and systems.
Run, monitor and support production workloads with clear responsibilities and regular reporting.
Reliable, predictable operations.
Tune performance, cost and model quality using what real usage shows.
Value that keeps growing after go-live.
We have worked in each of these sectors. For every one, we focus on the problems we help solve.
Data, forecasting and AI for energy operators, from market and meter data to asset performance.
Explore
AI-powered computer vision and automation to improve operations, manage assets, and streamline transportation and logistics.
Explore
Predictive maintenance, connected operations and digital twins that reduce downtime.
Explore
Banking, insurance and fintech: modernised core applications, reconciliation and document processing.
Explore
Secure, well-governed cloud, disaster recovery and AI for organisations with strict control requirements.
Explore
Personalised guest journeys, direct bookings and operations that scale with the season.
Explore
E-shops and websites that scale for peaks, stay secure and convert.
ExploreCertifications held by our engineers, from Foundational to Professional and Specialty level.
AI & Agentic AI
Why AI projects stall between pilot and production, and what to fix first.
AI & Agentic AI
How to identify the AI opportunities worth pursuing before choosing a model or a platform.
AI & Agentic AI
Why production AI needs monitoring, evaluation and continuous improvement.
Let's identify the opportunity and determine the right path to a working solution.
Discuss Your Initiative
