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Case studies

Six problems, and what actually changed

Every engagement below started with a number somebody was unhappy about. These are the numbers afterwards.

Logistics
Next.jsGoPostGISKafkaAWS

Regional logistics operator

Real-time routing for a 900-vehicle fleet

The problem

Dispatchers planned routes by hand in spreadsheets. Fuel spend was climbing and nobody could say where a vehicle actually was.

What we built

A live routing engine with GPS ingestion, constraint-based optimisation and a dispatcher console that re-plans in seconds.

31%
Lower fuel cost per drop
4.2x
Faster route planning
900
Vehicles tracked live
Fintech
ReactPythonTemporalPostgreSQLVault

Digital lending platform

KYC onboarding cut from 9 days to 11 minutes

The problem

Manual document review created a nine-day queue. Two out of three applicants abandoned before approval.

What we built

Automated document extraction, sanctions screening and risk scoring, with a review desk for the small share of edge cases.

11 min
Median approval time
+58%
Application completion
0
Compliance findings
Healthcare
NestJSWebRTCKubernetesRedisTerraform

Multi-clinic healthcare group

A telehealth platform that held under 40x load

The problem

A monolith that fell over at 300 concurrent consultations, right as demand went vertical.

What we built

Incremental extraction to services, a WebRTC consultation layer and autoscaling infrastructure — migrated with zero downtime.

12k
Concurrent consultations
99.98%
Uptime since launch
-47%
Infrastructure spend
Retail
Next.jsShopify APICloudflareAlgolia

Omnichannel retail brand

Headless commerce rebuild, 1.8s faster

The problem

An ageing storefront took 4.3 seconds to render on mobile, and mobile was 71% of the traffic.

What we built

A headless Next.js storefront on edge rendering, with inventory sync to the existing ERP and a rebuilt checkout.

1.8s
Faster LCP
+34%
Mobile conversion
+22%
Average order value
SaaS
ClaudepgvectorPythonNext.js

B2B SaaS company

AI support desk resolving 62% of tickets

The problem

Support volume grew faster than headcount. First-response time had slipped past 14 hours.

What we built

A retrieval-augmented assistant grounded in their own docs and ticket history, with confidence thresholds and clean human handoff.

62%
Tickets auto-resolved
8 min
First response time
4.7/5
Customer satisfaction
Manufacturing
GoMQTTClickHouseGrafanaDocker

Industrial manufacturer

Factory floor telemetry, 2.4M events a day

The problem

Machine faults were found at end-of-shift inspection, after a full run of scrap had already been produced.

What we built

Edge collectors streaming sensor telemetry to a time-series pipeline, with anomaly detection and alerting to the floor.

2.4M
Events processed daily
-38%
Unplanned downtime
-26%
Material waste
Get in touch

Your problem probably rhymes with one of these

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