Financial services

Where we came from — and where we still deliver, selectively.

Rating models, revenue forecasting and document intelligence inside regulated institutions. Financial services is the root of our practice and remains about a fifth of our work today.

Production ML opsRegulatory auditabilityEnterprise scale
Where we focus

Three focal points in this vertical.

01

Rating and risk models

Production machine-learning for credit and securitisation ratings, deployed with regulatory auditability.

02

Revenue and demand forecasting

Time-series modelling for enterprise revenue planning, integrating alternative datasets.

03

Document intelligence at scale

Extraction, classification and retrieval over prospectuses, filings and rating manuals.

In practice

What this looks like on programme.

🇪🇺Pan-European·Financial servicesDelivered

EU RMBS rating models on 2B+ records

DBRS Morningstar

Problem

Rating models for European residential mortgage-backed securities, integrating over two billion records of unstructured loan-level data.

Approach

Document ingestion and extraction pipelines feeding XGBoost-based rating models, deployed via MLflow with full regulatory auditability.

Capability

Document processing at scale, regulatory audit trail, production ML ops.

XGBoostMLflowSparkPython
🇪🇺Europe·Cross-sectorDelivered

Enterprise GenAI and RAG for Industry Solutions Delivery

Microsoft Corporation

Problem

European enterprise clients across energy, biotech, and financial services needed production-grade retrieval-augmented generation over unstructured PDFs and platform data.

Approach

Document ingestion pipelines, intelligent extraction, and enterprise platform integration under Microsoft's ISD delivery umbrella.

Capability

RAG in regulated enterprise settings, multi-sector delivery.

Azure OpenAILangChainAzure AI SearchPython
🇬🇧United Kingdom·Financial servicesDelivered

Revenue forecasting with alternative datasets

ARM Holdings plc

Problem

Strategic foresight on royalty and non-royalty revenue trends requiring integration of external and alternative datasets.

Approach

State-of-the-art time series models fused with alternative-data features; production data pipelines and enterprise-scale backtesting.

Capability

Production data pipelines, alternative-data integration, enterprise scale.

ProphetPyTorchSnowflakeAirflow
Engage

Brief us on your programme.

We work with public-sector buyers in the UK, the Nordics, the Benelux and the Baltics. Tell us the problem — we'll tell you if we can help.