Underwriting copilot that reads every file so analysts don’t have to
62%less manual review time per application
Selected work
Proof, shipped to production.
AI systems and AI-driven software we have designed, built and still run for clients across lending, insurance, retail, health, logistics and SaaS. Client names are withheld at their request.
What we can build for you120+AI systems and software products in production
14Countries our clients ship to
7 wksMedian kickoff to first production release
2.8 yrsAverage client relationship
Case studies
Nine systems, one standard.
Claims intelligence pipeline for 1.2M pages a month
4.1×faster first decision on complex claims
Demand forecasting across 14,000 SKUs and 38 warehouses
18%fewer stockouts in the first full season
Support agent with human review for every edge case
41%of tickets resolved end to end, CSAT unchanged
Clinical note drafting, from risk review to rollout
9 minsaved per patient visit across 120 clinicians
Freight ops automation across email, ERP and carrier portals
3,400 hof manual work returned to the team each year
Field sales app with on-device AI that works without signal
23%more orders per rep per day across 1,800 reps
Customer portal rebuilt from a legacy monolith, with zero downtime
14 wksfrom legacy code to live, AI-assisted migration
Multi-tenant SaaS platform for freight brokers, from MVP to scale
5×faster release cadence, 60 customers onboarded in year one
Want the full story? Three of these are written up in depth, problem to outcome.
Read the case studiesProjects we can build for you
Pick a starting point. We scope it this week.
The projects clients hire us for most, with honest timelines and team sizes. Choose the closest one and we will send a written scope and a fixed price within three business days.
AAI systems
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A1
Document intelligence pipeline
Read claims, invoices, contracts or KYC files, extract every field with a citation, and route exceptions to people.
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A2
Customer support agent
Resolve tickets end to end in your helpdesk, take safe actions through your tools, and hand edge cases to humans with a drafted reply.
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A3
Internal knowledge copilot
One assistant over your docs, tickets, wikis and code, with permissions respected and every answer linked to its source.
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A4
Forecasting and decision models
Demand, pricing, risk or churn models wired into the systems where decisions are made, with monitoring for drift.
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BSoftware products, built AI-first
-
B1
SaaS platform or MVP
From idea to paying customers: product spec, multi-tenant architecture, billing, admin and weekly releases from week three.
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B2
Mobile app with AI features
iOS and Android apps that work offline, sync reliably, and put AI where it helps: search, capture, suggestions, voice.
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B3
Legacy modernisation
Move a monolith or aging stack to a modern platform. Agents map and migrate the code; seniors own the architecture and the cutover.
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B4
Internal tools and dashboards
Replace spreadsheets and swivel-chair work with tools your operators actually like, connected to the systems you already run.
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How every project runs
Four stages. No surprises.
Whatever you are building, the shape is the same: prove it small, build it properly, and keep it healthy once it is live.
- 01
Scope
A thirty-minute call, then a written scope, team and fixed price within three business days.
Week 0
- 02
Prove
The riskiest part first: a working slice on your real data or real users, measured against a baseline.
Weeks 1 to 4
- 03
Build
Weekly releases to production, a Friday demo, and a named senior engineer accountable for every change.
Weeks 4 to 16
- 04
Run
Monitoring, improvements and on-call from us, or a rehearsed handover to your own team.
Ongoing
What we build with
Chosen for your problem, never for a partnership.
AI and data
- OpenAI
- Anthropic
- Open-weight models
- LangGraph
- pgvector
- Databricks
- Snowflake
Product
- TypeScript
- React
- Next.js
- React Native
- Flutter
- Python
- Go
- Postgres
Platform
- AWS
- Google Cloud
- Azure
- Kubernetes
- Terraform
- GitHub Actions