Two decades inside a handful of industries beats passing familiarity with twenty. Our consultants have worked inside these operating models, not just alongside them.
Domain depth is the difference between a build and a fix.
Most failed programs are not technical failures. They are failures to understand how the business actually runs — who approves what, which exceptions matter, what the regulator will ask for, and which process everyone works around. We start there, in every industry below.
01 · Flagship practice
Retail & Fashion
Product data at luxury scale. We run the systems that take a garment from design record to every channel it sells on — across some of the largest apparel and accessories portfolios in the market.
PIM, MDM & PXM implementation
Channel syndication & enrichment
Taxonomy & classification frameworks
Merchandising analytics
02
Financial Services & Banking
Data governance, regulatory reporting and customer analytics for regional banks and financial institutions — built to survive an audit, not just a demo.
Data governance & lineage
Regulatory reporting
Customer 360
Core system integration
03
Manufacturing
Engineering and operations teams lose hours to systems that don't talk to each other. We build the dashboards, integrations and custom tools that give those hours back — and the governance that keeps knowledge from leaving with people.
Operations & production dashboards
Custom engineering tools
Lessons learned & knowledge systems
Supply chain analytics
04
Benefits & Insurance
Benefits administration runs on member, plan, provider and eligibility data that has to reconcile across carriers, employers and vendors. We build the master data foundation underneath it and the integrations that keep every party working from the same record.
Member & plan master data
Eligibility & enrollment integration
Carrier and vendor data exchange
Custom portals & administration tools
05
Pharma & Life Sciences
Product, ingredient and regulatory data in life sciences carries obligations most industries never face. We work on the master data models, custom components and validation rules that make that information governed, traceable and defensible.
Master data management & stewardship
Custom MDM components
Data quality & validation rules
Regulatory & audit reporting
06
Crypto & Digital Assets
Digital asset businesses move faster than their data and reporting infrastructure. We bring finance domain depth to the parts that matter — reconciliation, treasury reporting, custody and exchange integration, and the analytics a board or auditor will actually accept.
Reconciliation & treasury reporting
Exchange & custody integration
On-chain and off-chain data pipelines
Go-to-market for digital asset products
Not on this list?
You can see this work in practice across our case studies. These are the industries where we have the deepest operating knowledge, but the underlying problems — fragmented data, manual coordination, systems that don't reconcile, knowledge that lives in people rather than process — are not industry-specific. If that sounds familiar, the conversation is worth having.
Selected clients
Nearly two decades of enterprise delivery.
Ralph Lauren
Global fashion
Tapestry
Coach · Kate Spade · Stuart Weitzman
Capri Holdings
Michael Kors · Versace · Jimmy Choo
PVH Corp.
Global apparel
IBM
Technology & delivery teams
Stanley Black & Decker
Industrial manufacturing
American Axle
Automotive manufacturing
Provident Bank
Financial services
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