Case studies

Work we are proud of

Examples of our work across industries.

Retail

Demand forecasting engine

Challenge: Inventory levels relied on guesswork and seasonal peaks caused surprises.

Solution: We built a time-series model forecasting demand per product.

βœ“ Inventory turnover improved
SaaS

Support agent for customer service

Challenge: The support team was drowning in repetitive routine tickets.

Solution: We built an agent that resolves routine cases and escalates the rest.

βœ“ Shorter response times
Manufacturing

Vision-based quality inspection

Challenge: Manual inspection was slow and defects slipped through.

Solution: We trained a model to spot defects on the line in real time.

βœ“ Fewer defects on the line
Logistics

Route optimisation

Challenge: Delivery routes were planned by hand and were inefficient.

Solution: We built an optimisation model accounting for time and capacity.

βœ“ Shorter driving distances
Finance

Automated document reading

Challenge: Processing invoices and contracts consumed enormous time.

Solution: We built an OCR and extraction pipeline for structured data.

βœ“ Faster processing
Health tech

Knowledge search for care guidelines

Challenge: Staff could not quickly find guidance in extensive documentation.

Solution: We built a RAG search that answers with citations.

βœ“ Faster information retrieval
Media

Content classification and tagging

Challenge: A large content archive was unsorted and hard to search.

Solution: We built automatic classification and tagging.

βœ“ Better discoverability
Energy

Predictive maintenance model

Challenge: Equipment failures could not be anticipated and downtime was costly.

Solution: We built a model anticipating failures from sensor data.

βœ“ Fewer surprise outages
Education

Multilingual learning assistant

Challenge: Students needed support in several languages around the clock.

Solution: We built a conversational assistant grounded in course material.

βœ“ Support available continuously
Real estate

Price estimation model

Challenge: Price estimates varied by appraiser and were inconsistent.

Solution: We built a model estimating price from property features.

βœ“ More consistent estimates
Travel

Personalised recommendations

Challenge: Customers received generic offers that missed the mark.

Solution: We built a recommendation engine from behavioural data.

βœ“ More relevant offers
Industry

Real-time operations dashboard

Challenge: Production status was scattered across different systems.

Solution: We combined sources and built a real-time view.

βœ“ Better production visibility

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Ready to get started?

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