Our Work

Architecture built to solve real problems.

Every project here started with a genuine challenge — social, commercial, or agricultural. We design, build, and ship from initial architecture through to production.

Why it works

Built for the real world, not a demo

It never acts without a human

Every high-risk or critical case requires a caseworker to review and approve before any response is sent. The AI does the thinking. The human makes the call. This is not a shortcut — it is a safeguard.

Consent, escalation and governance built in

Every decision is logged. Every action is traceable. Every critical case follows a defined escalation path. Built to UK GDPR standards. Data never leaves AWS servers in London (eu-west-2).

Full audit trail ready for inspection

CivicGuardian maintains a full audit trail on every case — who saw it, what the AI recommended, what the human decided, and when. Ready for CQC inspection, regulatory review, or internal governance.

Works with documents that already arrive

No new systems to install. No expensive integration projects. CivicGuardian works with the documents that already arrive — PDFs, scanned letters, emails. Upload it. The system reads it.

Live and in active use

CivicGuardian is live on AWS and already in active use with a healthcare organisation across their supported living services in the UK. This is not a proof of concept. It is a working system processing real cases.

Built to scale across sectors

The current live deployment is in health and social care. The same architecture can be adapted for Local Authorities, NHS Trusts, and Housing Associations. Sector-specific deployments are scoped as separate engagements.

Top 50

Global · AWS AIdeas 2025

1

Healthcare Org · In Active Use

93

Cases Processed · Live

<3s

Average Response Time

94.2%

Accuracy · Pilot Testing

$0/mo

Infrastructure Cost

CivicGuardian in Action

What it looks like when a real case lands

Illustrative scenarios — based on real correspondence types handled by the system.

NHS / Supported Living

6-page DWP PIP review letter arrives for a resident

What arrives A support worker uploads a 6-page DWP Personal Independence Payment review letter for an elderly resident. The deadline is buried on page four.
Risk level HIGH — 14-day response deadline identified. Response required or benefits will be suspended.
Time to alert Under 8 minutes from upload to caseworker notification, with a draft response prepared for review.
Outcome Support worker reviews the draft, approves it, response sent. Benefit continues. Deadline not missed.

City Council Caseworker

23 letters across 8 service users arrive overnight

What arrives A social worker uploads 23 letters across 8 service users — a mix of benefit reviews, care plan notifications, and housing correspondence.
What CivicGuardian finds A Section 21 eviction notice with a 12-day court date at the top of the queue. 20 routine letters classified and filed automatically. 2 medium-risk items queued for review.
Time saved 4 hours of manual sorting reduced to 8 minutes. The eviction case surfaces immediately — not at the end of the stack.
Outcome Legal advice secured. Court date addressed. Resident's housing protected. 20 routine cases processed without consuming caseworker time.

Housing Association

Annual tenancy review for resident with learning difficulties

What arrives A housing manager uploads an annual tenancy review notice sent to a resident with learning difficulties. The notice is written in dense legal language.
Risk level MEDIUM — response required within 21 days. Failure to respond could affect tenancy terms.
What CivicGuardian produces A plain-English summary the resident can actually understand. A formal response draft for the manager to approve. Both ready in under 2 minutes.
Outcome Resident is informed in plain English. Formal response submitted on time. Tenancy terms maintained. Support worker notified automatically.
Live · March 2026 Civic Tech

CityLens AI — Starting a business is hard enough. Finding the right permits shouldn't take weeks.

When someone decides to start a business — a food truck, a hair salon, a cleaning company — the first thing they hit is a wall. Not a technical wall. A bureaucratic one. Which permits do I need? In what order? How much will it cost? Who do I call? Government websites are designed for administrators, not entrepreneurs. Most first-time business owners spend days — sometimes weeks — trying to figure out what they legally need. Many give up. Some open without the right permits and face fines.

CityLens was built because no one should have to navigate government paperwork alone. You describe your business in plain language and get a personalised, step-by-step permit roadmap in under 60 seconds. Free. No account. No jargon.

Every roadmap includes

Every permit in the correct order

Exact fee (verified from official sources)

Department name, address & phone

Most common rejection risks

Spanish translation (one click)

PDF download for City Hall

Cost breakdown & timeline

Single First Action — what to do today

9 business types covered · Montgomery, Alabama · March 2026

Food Truck Hair Braiding Salon Barbershop Home Catering Landscaping Online Business Restaurant Retail Store Cleaning Services

Tech stack

Claude API (claude-sonnet-4) Node.js Vercel Serverless Embedded knowledge base Local fallback
Build progress 85%
CityLens AI permit roadmap interface for Montgomery, Alabama businesses
Permit roadmap output
CityLens AI business type selection and plain-English guidance
Business guidance
Active Builds

More in development

These projects are in active build, spec, or research phase. Each started with a genuine problem. If any are relevant to your organisation, we'd like to hear from you.

EstateAegis

Finance · PropTech
In Progress
Private Pilot

Protecting diaspora property across borders with AI-powered governance.

Nigerians in the UK, US, and UAE own property back home — flats, land, construction projects — that they cannot physically oversee. EstateAegis is a jurisdiction-aware AI governance platform for diaspora property. AI agents prepare document packs, legal checklists, risk assessments, and payment recommendations. Qualified humans approve at every gate. Evidence validates every step. Everything is audited.

AI prepares → humans approve → evidence validates → every important decision is auditable.

Built today: 18 Lambda handlers · 5 Step Functions state machines · 4 jurisdiction packs (Nigeria Federal, Lagos, Ogun) · 10 Kiro specs
Amazon Bedrock Nova Step Functions Cognito + MFA DynamoDB Terraform React Amazon Kiro Python

Global Multi-Asset Trading System

Finance
In Progress · Scaffold Complete

Systematic. Multi-strategy. No emotion, no discretion, no guesswork.

A spec-driven, multi-asset systematic trading platform combining MetaTrader 4/5 execution, a Python research and execution engine, and a MATLAB neural net research loop. The Python engine proposes. The MT4/MT5 bridge executes with independent risk checks. Two independent layers of protection at every trade. Covers EURUSD, GBPUSD, XAUUSD, US100, BTCUSD, and USOIL.

MQL4 / MQL5 Python 3.10+ MetaTrader 4/5 MATLAB Claude API Amazon Kiro

RegEval

Finance · Healthcare · AI Governance
Concept Stage · Spec Complete

The AI evaluation platform built for regulated industries that cannot send data outside.

UK regulated enterprises in fintech, healthcare, and insurance need to evaluate and improve their AI models — but cannot use external labelling services like Scale AI or Outlier because of data residency and compliance requirements. Their data cannot leave their AWS environment. RegEval is an AWS-native RLHF and model evaluation platform that keeps everything inside the compliance boundary.

AWS-native Lambda DynamoDB S3 Python

WattLens

Energy · Housing
Concept Stage

Making energy data actionable for housing providers and residents.

Housing associations and landlords have no visibility into real energy usage across their properties. Inefficiency goes undetected, anomalies go unflagged, and residents have no tools to understand or reduce their bills. WattLens gives housing providers and their residents that visibility — identifying inefficiency, flagging anomalies, and helping residents understand and act on their energy data.

AWS Lambda DynamoDB Python
Client Delivery

Live client engagements

Active Client Delivery Health & Social Care

Confidential Client Engagement

A health and social care organisation in the UK needed to take full ownership of their digital infrastructure — moving from a legacy hosting provider to a modern, secure cloud environment without any disruption to their live services.

Columns & Pillars delivered the full migration: domain transfer, DNS replication, email continuity, and a new professional website built on AWS — giving the client complete control of their digital presence for the first time.

AWS DNS Migration Email Continuity Infrastructure Migration Zero Downtime
What's Next

On the Roadmap

These projects are planned — not yet in active build. If either is relevant to your organisation, we'd like to hear from you early.

Planned · Civic Tech

PermitPath AI

The full platform version of CityLens, expanded to multiple US cities and business types. Makes permit navigation as simple as booking a flight — pick your city, describe your business, get your complete roadmap in under 60 seconds. Every permit, every fee, every contact. Verified. In the right order.

Claude API Multi-city Vercel
Register interest
Planned · Finance

Global Multi-Asset Trading System — Full Release

A systematic multi-strategy trading platform covering Forex, Indices, Metals, and Crypto — orchestrated with AI and built on a research-execution engine. Rules-based. Emotion-free. Always on. No strategy goes live until it has passed backtest, walk-forward validation, paper trading, and demo trading with 100+ complete trade cycles.

MQL4 / MQL5 Python MATLAB
Register interest

Have a problem that needs proper architecture thinking?

Every project here started with a conversation. If you have a challenge — technical, operational, or sector-specific — we'd like to hear about it.