Case Studies

Shipped. Measured. Verified.

We don't describe what we built. We show what changed — with the numbers, the challenges, and the decisions that got us there.

Fintech

FinLedger

Open Banking & Fraud Intelligence

A PSD2-compliant open banking platform aggregating 15+ bank feeds with real-time transaction categorisation, ML fraud detection, and automated reconciliation — built for SMEs who can't afford a full finance team.

Challenge

The client was losing hours weekly to manual reconciliation across disconnected banking portals, with no fraud visibility until month-end. They needed live data, not daily exports.

Outcome

Fraud detection flagged £240k in suspicious transactions in the first quarter alone. Finance admin dropped from a part-time role to 8 hours a week. The platform now processes £2M+ in daily transaction volume.

£2M+
Daily transaction volume
£240k
Fraud caught, Q1
8hrs
Admin saved weekly
ReactNode.jsPostgreSQLPlaidMLRedis
Healthtech

HealthFlow

HIPAA-Compliant Telehealth Platform

A clinical-grade telehealth platform with WebRTC video consultations, AI-assisted triage, HL7 FHIR EHR integration, and real-time scheduling — replacing a legacy system that collapsed under peak load.

Challenge

The client's existing platform failed during GP surges and couldn't satisfy HIPAA audit requirements. They needed a full replacement with zero downtime migration and compliance baked in from day one.

Outcome

Migrated 40k+ active patients with zero data incidents. Triage times dropped 60%. The platform expanded from 2 to 12 clinics in 6 months and has maintained 99.97% uptime since launch.

40k+
Active patients
99.97%
Uptime SLA
60%
Faster triage
Next.jsWebRTCPythonPostgreSQLAWSAI Triage
Edtech

LearnPath

Multi-Tenant Adaptive LMS

A multi-tenant learning management system built for a university consortium — each institution gets isolated data, custom branding, and its own regulatory profile, all on a single shared infrastructure that was designed to scale from day one.

Challenge

200+ institutions needed one platform that could reflect completely different pedagogical approaches, compliance requirements, and student populations — without the platform fracturing into one-off configurations.

Outcome

Course completion rates rose 34% after adaptive content paths were enabled. The platform now handles 500k+ learning events per day with no per-institution re-architecture required as the consortium grows.

200+
Institutions
34%
Completion uplift
500k+
Events/day
Vue.jsDjangoRedisNLPGCPSCORM
Greentech

CarbonTrace

CSRD-Ready Carbon Accounting Platform

An enterprise carbon accounting platform that pulls IoT sensor telemetry, supply chain data, and energy usage into a single GHG Protocol-aligned ledger — with audit-ready CSRD and ESRS reporting built in.

Challenge

The client had a hard CSRD regulatory deadline with no existing emissions data infrastructure. Reporting was being assembled manually across spreadsheets and email threads — not auditable, not defensible.

Outcome

First compliant CSRD report submitted on time and signed off without revision. Carbon reporting overhead dropped from a 3-month process to a 2-week automated cycle. Now processing 1M+ IoT readings per day.

1M+
IoT readings/day
87%
Reporting time saved
CSRD
First submission: on time
ReactPythonIoTTimescaleDBGHG ProtocolAzure
Martech

Campfire

Real-Time Marketing Attribution

A unified marketing intelligence platform that replaces seven disconnected tools with one — real-time multi-touch attribution, cross-channel campaign data, and AI-generated optimisation signals that tie spend to revenue, not just clicks.

Challenge

The marketing team had no shared source of truth. Each tool told a different story. Last-click attribution was masking a significant budget misallocation that nobody could quantify until spend was already wasted.

Outcome

Marketing ROI improved 28% in Q1 after switching from last-click to data-driven attribution. Data latency collapsed from 24 hours to under 2 minutes. The team cut their tooling overhead from 7 platforms to one.

28%
ROI improvement, Q1
20+
Channels unified
<2min
Data latency
Next.jsKafkaSparkBigQueryPythonML
AI / HR

Augment

AI-Assisted Hiring at Scale

An AI-powered recruitment platform that handles structured screening, bias-aware shortlisting, and competency-based interview generation — built for companies that receive thousands of applications but need to preserve hiring quality.

Challenge

A fast-scaling tech company was receiving 5,000+ applications per role. Quality was slipping as recruiters triaged volume manually, and shortlist diversity was not meeting internal targets.

Outcome

Time-to-hire dropped from 6 weeks to 12 days. Shortlist diversity increased 41% after bias-aware scoring replaced manual filtering. The recruiting team now manages 3x the role volume without additional headcount.

12 days
Avg. time-to-hire
41%
Shortlist diversity increase
Role volume, same team
ReactPythonGPT-4PostgreSQLRBACAWS
Now accepting Q3 engagements

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