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AI-First Software That Ships & Scales.

We build the AI, data and product work that outlives the demo — shipped in weeks, audited in production, owned by you.

Working with seed teams, Series C scale-ups and Fortune 1000 operators.

Services We
Offer.

Four practices, one senior team. Pick the one you need now; we’ll usually end up helping with the rest too.

$ shipped : 50+ // across ai · data · fullstack · mobile

AI & Machine Learning

Fine-tuning, grounding, agents, vision, serving, evals and guardrails.

LLM GraphRAG MCP vLLM Langfuse Ragas
open_service()

Data Engineering

Lakehouse, orchestration, transforms, CDC, forecasting and lineage.

Iceberg Dagster dbt Snowflake Databricks OpenLineage
open_service()

Full-Stack Web

React 19 stacks, Postgres backends, Stripe + Auth, CI/CD and IaC.

Next.js 15 React 19 Postgres Stripe Clerk Terraform
open_service()

Mobile Apps

Native + cross-platform, on-device AI, AR, BLE and offline sync.

React Native SwiftUI Jetpack Compose Apple Intelligence ARCore Fastlane
open_service()

Our Work
Process.

Discovery

Week 1

A 30-minute call to pressure-test the idea. We leave with a shared definition of done, the risks we spotted, and whether we're even the right team for it.

  • Goals, constraints & problem definition
  • Data review & feasibility assessment
  • Timeline & proposal delivery

Architecture

Week 2

Stack, data flow, model choice, integration surface. One week of diagrams and honest trade-offs, so we're never refactoring architecture in week five.

  • Stack & model selection
  • System design & data flow mapping
  • Risk assessment & mitigation plan

Build & Test

Weeks 3–6

Weekly demos on staging. We ship thin slices, instrument everything, and hold ourselves to accuracy, latency, and cost numbers you signed off on — not vibes.

  • Sprint-based delivery & weekly demos
  • Accuracy, safety & performance checks
  • Continuous optimisation

Deploy & Scale

Week 7+

Production rollout, dashboards that page the right person, and a handover your engineers can read on a Friday afternoon. Retainer support is optional, not a prerequisite.

  • Production rollout & monitoring
  • Documentation & team handover
  • Optional ongoing support retainers
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Work we’re proud of.

All live, all measured, all with the logs to prove it. Scroll through or poke a case study open.

IoT Predictive Maintenance Pipeline
01 / 06 IoT · Predictive Analytics

IoT Predictive Maintenance Pipeline

Federated models call failures early across four plants.

12,000+ sensors -34% downtime +$8.6M/yr
View Case Study
Real-Time Fraud Detection Engine
02 / 06 Graph Intelligence · Financial AI

Real-Time Fraud Detection Engine

A graph neural network catching ring fraud the rules never saw.

2.3M txns/day <800ms 99.6% precision +$47M/yr
View Case Study
BLE Contactless Payment SDK & Platform
03 / 06 Mobile · Payments · IoT

BLE Contactless Payment SDK & Platform

Custom GATT profile with ECDH + AES-256-GCM so terminals can take a tap.

850+ terminals 3 countries 99.8% success <2s tap
View Case Study
AR-Powered Remote Training Platform
04 / 06 Mobile · Augmented Reality

AR-Powered Remote Training Platform

Shared AR between two continents on a cloud anchor relay we wrote ourselves.

<100ms RTT +52% skill-acquisition -70% expert flights
View Case Study
AI-Powered Search Relevance & Revenue Engine
05 / 06 Semantic Search · Revenue Engine

AI-Powered Search Relevance & Revenue Engine

Bi-encoder retrieval + cross-encoder rerank at production load.

2,400 RPS p99 <45ms +50% CTR +$12M/yr
View Case Study
MCP Restaurant Business Intelligence Platform
06 / 06 Agentic Analytics · Forecasting

MCP Restaurant Business Intelligence Platform

Three MCP agents replaced six dashboards and a lot of gut-feel prep.

-56% MAPE -$2.1M/yr waste 3 agents · 6 dashboards
View Case Study

Words from people
who had to live with what we shipped.

6 of 6 said they’d hire us again. That’s the metric we actually care about.

Meera S.
Meera S. ★★★★★
Director of Operations

“Three of my analysts were drowning in contract review every week. What they built shows its work — that’s what finally got us past legal.”

David L.
Excellent!
★★★★★

“Our search was converting worse than sorting products alphabetically. Six weeks later, CTR up 50%.”

David L. Series C eCommerce
Client review @AnanyaR

“My team pushed back hard on letting AI near pricing. Then they watched participation triple in a quarter.”

Top-notch!
★★★★★ (5.0)

“Our HealthTech auditors don’t tick boxes, they break things. The pipeline they built held up under that.”

James W.
James W. HealthTech Scale-up
Priya K.
Testimonial

“I was about to replace our chatbot with something dumber. Glad I didn’t.”

Priya K. ★★★★★ (5.0)

“Six weeks, 30k docs a day in production, nothing caught fire. I’ve done this 20 years — that’s not normal.”

Tom H. Enterprise Content
Tom H.

The five things everyone
asks us on the first call.

If your question isn’t here, email us. We read everything that comes in.

Do you work with startups or only enterprises?
Both. Our smallest client was two co-founders in a WeWork; our largest has 40,000 employees. What actually matters is whether you have a real problem and a decision-maker who’ll stay in the room with us.
What’s your typical project timeline?
MVPs land in 6–10 weeks. Production AI with fine-tuning or messy integrations is usually 10–16. The proposal has a date on it, and if we’re going to miss it you hear about it in week two, not week ten.
Do we need to have our own data?
Usually not, no. Pre-trained models plus public datasets get most teams further than they expect. If your problem genuinely needs proprietary data, we’ll say so on the first call — and tell you what to start collecting today.
Can you take over an existing AI project?
Yes, and it’s one of our favourite kinds of work. We audit the existing system, tell you what’s salvageable and what isn’t, and only start billing for rebuild once you’ve decided which path to take.
Do you offer ongoing support after delivery?
Only if you want it. Most clients sign a light monthly retainer for monitoring, retraining and small feature work. A few take the code and run. Either is fine; we won’t lock a dashboard behind our login.
  • [LLMs] that ship
  • [Pipelines] you can trust
  • [Web apps] under real load
  • [Mobile] 60 fps, offline-first
  • [Dashboards] people actually open
  • [Audits] with receipts