Applied AI consulting & engineering
AI that does the work. Measured in production.
We are an applied AI consultancy. We take one workflow, the data behind it and the number that defines success, then design and ship the agents, knowledge graphs and voice systems that move that number, for banks, healthcare companies, manufacturers and technology teams.
23 published case studies5 industriesWorking systems in as little as 3 weeks
Trusted by teams at


















01Services
Six things we build, each one proven in production
We do not sell hours or slideware. Each service below has shipped for a client, and every number comes from a published case study.
02Industries
Where we work
Domain context decides whether an AI system is trusted. These are the industries where we have delivered, and the result that best shows it.
Financial services
Retail & commercial bankingWealth managementEquity capital marketsInsuranceConsumer lendingPayments & fintech92%Fraud detection rate, up from 71%9 case studiesHealthcare & life sciences
Pharma field salesMedical devicesRegulatory & patient accessConsumer health & nutrition50%Less visit preparation time4 case studiesManufacturing & agriculture
Made-to-order manufacturingFood processingLivestock & agricultureERP automation20–30%Reduction in feed waste3 case studiesTechnology & cybersecurity
Cybersecurity & GRCDeveloper toolingEnterprise technologyEducation technology60–70%Less attack path analysis time4 case studiesConsumer, travel & marketing
Travel & tourismContent & marketingTelemarketing8 minPer carousel, down from 6 hours3 case studies
03How we work
From one workflow to production, in weeks
Every engagement starts small and measurable. You see the system working on your own data before you commit to the next step.
- Step 1
Scope one workflow
We pick a single workflow with you, map the data behind it and agree the number that defines success: hours saved, accuracy, response time or cost.
- Step 2
Prove it on your data
We measure against your own history before anyone builds a roadmap: real orders, real calls, real transactions, scored the way your experts score them.
- Step 3
Ship in weekly increments
Something usable lands every week. Our fastest engagements reached a working system in three weeks; larger platforms run as one-week sprints.
- Step 4
Run it and extend it
Monitoring, audit trails and evaluation sets stay with the system, and the architecture takes new agents and use cases without a rebuild.
Built in from day one
A person stays in the loop
Routine work completes on its own. Anything that needs judgement reaches a person, with the reasoning attached.
Answers trace to a source
Agents answer from your documents and data through knowledge graphs, and say where each answer came from.
Deployed where your data lives
Your cloud or on-premise, client-held encryption keys and role-based access when the data cannot leave.
04Selected work
Results our clients measured
Measured against a real baseline, on the client’s own data. One from each of three industries; the rest are in the case study library.
05About
The team behind the work
A small senior team that designs, builds and runs the systems itself, with AI agents working alongside us.
06Client voices
What our clients say
07Insights
Notes from production
What we learn building AI systems for clients, written up for the people who will build the next ones.
08Contact
Tell us about the workflow you want to fix
Describe the process and the number you want to move. We reply with how we would scope the first few weeks.





