Industries
Industries we serve
Data and AI consulting, from strategy to production, across industries. The same governance-first method applies whether your sector is heavily regulated or not.
Industries
Where we can help
Organizations with large data estates and clear operational questions face similar problems, whatever their sector. Each page describes typical use cases, the data foundations we usually build and the governance context.
Financial Services
Wealth and asset management, trading and capital markets, banking and fintech, with supervision and traceability built in.
Read moreInsurance
Claims, underwriting and service data on a governed platform, with document intake and triage in which adjusters and underwriters stay in control.
Read moreHealthcare and Life Sciences
Privacy-first data and AI for operations, research and administration, with de-identification, consent and strict access control.
Read moreRetail and Consumer
Customer, product and supply data for forecasting, personalization and service assistants, including beverage and alcohol brands.
Read moreManufacturing and Industrial
Plant, quality and supply chain data connected for operations teams, with edge buffering and read-only paths into production systems.
Read moreEnergy, Mining and Resources
Asset, geoscience and site data for planning, maintenance and reporting, designed for remote locations and limited connectivity.
Read morePublic Sector and Not-for-Profit
Practical, transparent data and AI sized to budget and accountability, with privacy and fairness documented.
Read moreProfessional Services and Technology
Knowledge, delivery and product data with client confidentiality protected, including access-aware search over internal content.
Read moreOne foundation, shaped for each industry
Across industries, the foundation looks similar. Source systems, sensors, documents and event streams feed a data warehouse, data lake or lakehouse on AWS, Microsoft Azure or Google Cloud, with master data, a metadata catalog and lineage. A semantic layer serves dashboards, forecasting and regulatory reporting, and the same governed data supports machine learning, retrieval-augmented generation and AI agents, with evaluation and human review. What differs is the source data, the rules that apply and the questions that matter.
Privacy and sector rules vary by country and by province or state, from privacy law such as Personal Information Protection and Electronic Documents Act (PIPEDA) and the General Data Protection Regulation (GDPR) to health, financial, insurance and public sector regimes. We treat them as design context, confirm residency needs early and leave the final determination to your compliance and legal advisers.
Typical starting points by industry
Every organization starts from a different question. These are common first use cases that we would explore in discovery. They are examples, not a promise of what is right for you.
| Industry | Common first use cases |
|---|---|
| Financial services | Advisor call review, portfolio monitoring, trade analytics or KYC onboarding. |
| Insurance | Claims intake and triage, or a single view of the policyholder. |
| Healthcare and life sciences | Capacity and scheduling analytics, or administrative summarization. |
| Retail and consumer | Unified customer data, demand forecasting or a service assistant. |
| Manufacturing and industrial | Quality analytics, maintenance signals or supply chain visibility. |
| Energy, mining and resources | Asset health, site reporting or technical archive search. |
| Public sector and not-for-profit | Service demand analytics, program reporting or donor analytics. |
| Professional services and technology | Access-aware knowledge search or utilization analytics. |
Same method
Same method, every industry
Governance, security and human oversight are designed in from the start, not added at the end.
Discovery & Strategy
Understand the workflow, data and constraints, and agree measures of success.
Pilot & Validation
Test one focused use case against current practice before committing further.
Build & Scale
Extend in stages with monitoring, access controls and documented oversight.
Optimize & Evolve
Review results, tune what works and choose the next step together.
We describe typical challenges and how an engagement could be designed. We do not claim past results in any industry. Regulators and laws are named as context only. Nothing here is legal, financial or medical advice, or an assurance of compliance.
FAQ
Frequently asked questions
Do you only work in financial services?
No. We work with financial services as well as insurance, healthcare, retail, manufacturing, resources, public sector and professional services organizations. The same method and the same six services apply.
How does experience in regulated industries help other sectors?
Regulated finance sets a high bar for traceability, access control and human oversight. We bring that discipline to every engagement, whether or not your sector is heavily regulated.
Can you work in an industry not listed here?
Often, yes. If you have a large data estate and a clear operational question, contact us and we will tell you honestly whether we are a good fit.
Which clouds do you work on in each industry?
We deliver on AWS, Microsoft Azure and Google Cloud in every sector and design around your existing stack and data residency needs.
Let's talk about your data and AI priorities
Tell us what you are trying to solve. We aim to reply within one business day.