Solutions

Proof at enterprise scale.

Outcomes in real-world environments: regulated industries, mid-market companies, and software-driven businesses.

Analytics dashboard showing performance metrics, accuracy rates, and real-time data trends
By industry

Where the work lands.

Eight sectors, each with its own constraints: what an audit trail has to prove, how close to the edge a model has to run, which data can leave the building.

Financial services

Process automation · streaming data platforms · document understanding

Insurance

Risk analytics · audit-ready deployment · model monitoring

Healthcare

Document understanding · semantic search · governed data foundations

Software & tech

Embedded analytics engineering · feature stores · product AI features

Energy & utilities

Edge deployment · computer vision on device · sensor fusion

Retail & consumer

Streaming pipelines · demand-side modeling · agentic automation

Telecommunications

Real-time pipelines · operational automation · cost optimization

Public sector

Governance & lineage · compliance-bound delivery · team enablement

Doctor reviewing patient risk analytics on a tablet in a hospital ward with clinical monitoring equipment
Regulated Mid-Market · Healthcare · Risk AI

Risk analytics in production for a US healthcare provider.

Risk prediction delivered into production in an audit-heavy, compliance-bound environment. The same constraints govern risk work in insurance and financial services, which is where this pattern transfers.

The system now powers a clinician-facing dashboard. Every alert links directly to the evidence the AI used to make its recommendation.

+11pts
ACCURACY IMPROVEMENT
1.4M
PATIENTS ANALYZED
14wk
ENGAGEMENT
Two engineers reviewing a system architecture diagram on screen in an open-plan office, with a service-integration flow sketched on the glass wall behind them
Software Platform · Data & Analytics

Data and analytics engineering embedded with product teams.

Analytics engineering embedded with product teams at a leading public sector software provider, a model for how we work with platform and vertical-software companies.

Structured as an embedded pod delivery: senior practitioners working alongside the company’s own developers and data scientists.

−62%
FALSE ALERTS
12
DATA PIPELINES
9wk
ENGAGEMENT
Financial analysts collaborating at a trading desk with curved monitors showing real-time market data
Financial Services · Data · Automation

92 manual processes, automated in eleven weeks.

A trading desk had ninety-two analysis workflows scheduled with outdated batch jobs. We rebuilt the data infrastructure with modern streaming pipelines, connected each analysis as a reusable AI tool, and put an intelligent routing system in front to handle requests automatically.

Eleven weeks. The manual processes are gone, and the team focuses on strategy instead of operations.

92→0
MANUAL PROCESSES
11wk
ENGAGEMENT
3
DATA SOURCES UNIFIED

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