Worked with
What We Do
A London team building production AI systems.
Built with UCL Dept of Information Studies
Worked with
From Odine's on-premise ML studio to the voice assistant inside Monay — we deliver across AI, data, cloud, and machine learning for organisations that need production-grade results.
Custom ML models, NLP pipelines, computer vision, and AI-powered automation engineered for enterprise production.
Built Odine's AGML platform — weeks→minutes ML development
Learn more →Scalable data pipelines, ETL orchestration, data lakes, and real-time streaming architectures built for reliability.
Data pipelines behind AI features we built for Monay, a platform with 150K+ users
Learn more →Multi-cloud strategy, infrastructure-as-code, Kubernetes orchestration, and cost-optimised cloud migrations.
100% on-premise deployment for Odine; AWS Lambda & SageMaker for internal tools
Learn more →End-to-end MLOps, model training and deployment, experiment tracking, and production ML infrastructure.
End-to-end MLOps with smart recovery and 6 parallel pipeline support
Learn more →
Telecommunications
Enterprise agentic ML platform with locally-deployed Qwen 2.5 Coder models. Fully on-premise, no data leaves the building.
Weeks→Min
Dev Timeline
100%
On-Premise
6
Parallel Pipelines
Fintech
Voice AI financial coaching, smart spending analysis, and personalised savings goals — deployed to production in under a month. Figures below are Monay’s, for the platform these features ship inside.
150K+
Active Users
97%
Accuracy
₺25M+
User Savings
Knowledge Graph
Tech-for-good work with Taz Khan MBE's Zero Waste, Zero Hunger network.
We mapped the people, projects and decisions across all of it into a single connected knowledge graph, so the team can answer a question about any venture from one place, with the evidence attached. Built alongside our UCL research partnership.
One graph
Whole network
UCL
Research partner
25,000/wk
People supported
Web & Product
We built Teasol's brand and full teasol.com website, then an interactive TEASOL Exchange demo: a clickable 5G slice marketplace with a live digital twin and an AI assistant, shaped around four operator journeys and demonstrated on the stand at Mobile World Congress 2026 in Barcelona.
teasol.com
Brand + full site
Live demo
AI-powered exchange
MWC 2026
Barcelona stand
A structured, transparent process from first conversation to ongoing support.
We start by understanding your business goals, technical landscape, data maturity, and constraints. For Odine, this meant identifying that on-premise ML was a non-negotiable requirement — so we designed the entire AGML architecture around local deployment from day one.
Output: Discovery report with recommendations
Design the technical approach, select technologies, define integration points. We ensure the solution fits your existing ecosystem and scales for the future.
Output: Architecture document, project plan, cost estimate
Agile sprints (2-week cycles), regular demos, transparent progress tracking. Daily standups available. You see progress every fortnight, not just at the end.
Output: Working increments
Automated testing, security review, performance benchmarking. We do not ship until quality gates pass. Every release is verified against your acceptance criteria.
Output: Test reports, security audit, performance benchmarks
Production deployment with monitoring, rollback plans, and documentation. On-premise or cloud. We handle the operational details so you can focus on value.
Output: Live system, runbooks, monitoring dashboards
Post-launch support, monitoring, optimisation. Knowledge transfer to your team so you are never locked in. Optional ongoing retainer for continuous improvement.
Output: Support documentation, training sessions, handover
Here is what our team has been up to.
Our team attended Europe's largest AI event to stay at the frontier: keynotes on the pace of generative AI, and Sakana AI research on models that keep getting better.
April 2026
We sponsored our team's attendance at the prestigious Oxford ML Summer School, reinforcing our commitment to continuous learning and staying at the frontier of AI research.
May 2025
Our team collectively completed 250 rides using Forest bikes for commuting in London, saving approximately 150kg of CO2 emissions. Small actions, big impact.
May 2025
Our team volunteered to clean up London's Regent's Canal, demonstrating that building great technology and caring for our community go hand in hand.
September 2025
Whether you have a defined brief or an early-stage idea, we are happy to talk through your challenges and explore how we can help.