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.