Six rooms. Each one does one thing well.

A multidisciplinary engineering team with experience across AI systems, cloud infrastructure, scalable software platforms, automation and production-grade product development.

Each engagement is led by one of the three founders, who carries it from scoping through to handover. The engineer you meet on the first call is the one who builds the thing.

01

AI Development

LLM systems built to ship — not to demo.

Provider-agnostic LLM infrastructure, agentic systems and retrieval pipelines. We have built autonomous database agents with natural-language querying, AI infrastructure abstracted across multiple LLM providers, and LangGraph-driven retrieval systems running in production.

The work covers the parts that decide whether the model behaves the same way in production as it did in the demo — evals, latency, cost ceilings, fallbacks and the boring observability that keeps it honest.

01

Agentic systems

Autonomous agents that take action in your data and tools. Tool-use, planning, recovery, traces.

02

LLM orchestration

Provider-agnostic infrastructure. Swap models, route by cost or quality, fail over without rewrites.

03

RAG & retrieval

LangGraph and LangChain pipelines tuned for the way your documents actually answer questions.

04

Evals & guardrails

The boring infrastructure that keeps AI features safe in production. Tests, traces, cost limits.

Stack: Python FastAPI LangChain LangGraph Vector search
02

Web & App Development

Products owned end-to-end, by the team that ships them.

Next.js and Angular on the web. Flutter and React Native on mobile. Architecture, infrastructure, deployment and production operations from a single team — including the founding-engineer experience of scaling a product to over a million monthly active users.

We pick durable stacks on purpose. Marketing sites that load instantly, dashboards that don't apologise, mobile apps that survive App Store review without drama.

05

Web platforms

Next.js, Angular and TypeScript. Full-stack products with auth, billing and the boring necessities.

06

Cross-platform mobile

Flutter and React Native. One codebase, two app stores, a real signing and submission story.

07

Dashboards & SaaS

Operational dashboards and full SaaS products with the workflow and data layer to back them.

08

Editorial & brand sites

Performance-budget marketing sites that look considered and load before the user blinks.

Stack: Next.js Angular TypeScript Flutter React Native Tailwind
03

AI Automation & Workflows

Quiet systems that remove a task from somebody's calendar.

Internal copilots, intelligent routing and enterprise integrations. Built on the same foundations our team uses to deliver enterprise workflow integrations and operational analytics across large engineering organisations — the kind of work that lands in production and stays there.

The point isn't elegance. The point is removing manual steps, surfacing the right signal at the right time, and doing it in a way that finance can defend.

09

Internal copilots

AI assistants grounded in your records, your tools, your tone. Not a generic chat box.

10

Workflow automation

Multi-step processes triggered by events, queues or schedules. With retries, audits and humans-in-the-loop where it matters.

11

Enterprise integrations

Wiring your CRM, ERP, ticketing and warehouse together so they finally tell a consistent story.

12

Operational analytics

Dashboards and alerts driven by your real workflow data, not whatever vendors decide to expose.

Stack: Python FastAPI .NET PostgreSQL REST & webhooks
04

Vision & LLM Use-cases

Eyes and language for your data.

Real-time video analytics on Nvidia DeepStream, OpenCV pipelines, OCR and land-boundary detection, and natural-language interfaces over operational data. The team has shipped scalable real-time video analytics systems and OCR pipelines processing geospatial documents in production.

Where vision meets language: cameras that count and classify, documents that index themselves, and chat interfaces that answer questions about what they see.

13

Computer vision pipelines

OpenCV, TensorFlow and PyTorch pipelines for detection, segmentation and tracking.

14

Real-time video analytics

Nvidia DeepStream and edge-friendly inference for live camera feeds. Counting, classification, alerting.

15

Document AI & OCR

Pulling structure out of scans, PDFs and forms — the kind that already runs over land and planning records.

16

Natural-language data agents

Chat over your database. Ask in English, get an answer grounded in your records and joins.

Stack: OpenCV TensorFlow PyTorch Nvidia DeepStream Python · FastAPI
05

Cloud Integration

Infrastructure that ages well.

AWS automation engineered across 50+ accounts, Google Cloud Platform for high-traffic platforms, and the CI/CD plumbing in between. Cloud-native monitoring and remediation built for environments where someone is genuinely paged when it breaks.

We choose what suits the build, then write the small amount of glue that keeps everything observable, secure and inexpensive.

17

AWS & GCP architecture

Multi-account AWS automation, Google Cloud Platform, networking and IAM done once and properly.

18

CI/CD & DevOps

Jenkins, Azure DevOps, GitHub Actions. Releases that are boring on purpose.

19

Monitoring & observability

Cloud-native monitoring and remediation. Real alerts, real dashboards, the right person paged.

20

Cost & reliability audits

Standalone audits of your bill, your blast radius and the things keeping your CTO up at night.

Stack: AWS Google Cloud Jenkins Azure DevOps Docker
06

Backend & Scalable Systems

Built to survive the next 10×.

APIs, data systems and platform infrastructure that already carry over a million monthly users in production. Backend architecture, REST APIs, geospatial systems on PostGIS and BigQuery, and the operational layer that keeps it all observable.

When the prototype outgrew the room it was born in: rewrite the parts that buckle, leave the parts that work, and document the line between them.

21

API engineering

REST APIs in FastAPI, .NET and Node. Auth, rate limits, versioning and the things that hurt later if skipped.

22

Data & GIS systems

PostgreSQL, PostGIS, MongoDB and BigQuery. Spatial analytics, real-time mapping, large-scale data pipelines.

23

High-scale infrastructure

Caching with Redis, queues, sharding strategies — the moves you make when traffic stops looking like a graph.

24

Enterprise platforms

Internal platforms used across large engineering organisations. Tooling, observability and the unglamorous parts.

Stack: FastAPI .NET / C# PostgreSQL PostGIS MongoDB Redis BigQuery

Every engagement is led by one of the three founders, who carries it from scoping through to handover. The engineer you meet on the first call is the one who builds the thing.

Have a deliverable in mind? Let's scope it.

A thirty-minute call with one of the founders. We talk through what you're building and whether the studio is a fit for the work.

Book a Call