Industries

We work where the data is sensitive and the security team has a veto.

That's where AI projects actually stall, and where a governed foundation makes the first use case possible.

The data we work with

Industry 01

Animal Health & Pharmacy

Platforms that handle pet-owner PII, veterinarian licensing (including DEA registrations), prescriptions and controlled substances, and payment data. The rules that apply are mostly pharmacy and DEA regulation, PCI DSS, and state privacy law like CCPA/CPRA. HIPAA usually doesn't, which surprises people.

Recent result

900+

clinical summaries a month, on a tokenized data foundation

Read the animal health platform case study

Use cases we've shipped

  • Clinical documentation generation
  • Data tokenization at the source
  • Governed event spines into Snowflake
  • Client and pet record matching
  • Recommendation writeback

Compliance frame

Pharmacy & DEA

Prescription, controlled-substance, and veterinarian-licensing data classified and governed at the source.

PCI DSS

Payment fields tokenized before they reach the wire; AI components kept out of cardholder data scope by default.

CCPA / CPRA

Pet-owner PII tokenized with deterministic, format-preserving, or one-way methods chosen per field.

Industry 02

Supply Chain & Manufacturing

Operators handling purchase orders and invoices in every layout, or catalogs so large that every quote means a manual search.

Recent result

$4M / year

saved with template-less document intelligence

Read the supply chain and manufacturing case studies

Use cases we've shipped

  • Purchase order and invoice processing without templates, with a person reviewing anything uncertain
  • Text-to-SQL product recommendation

Compliance frame

SOC 2

We build to your control set and hand over the logs and documentation your auditor will ask for.

Customer data protection

Customer and pricing data classified, access-controlled, and logged end to end.

Audit trail

Every automated decision carries a confidence score, goes to a person when confidence is low, and leaves an audit record.

Industry 03

Retail & Consumer

Retailers and consumer brands working on demand forecasting, search and merchandising, and customer operations.

Recent result

< 1 min

store-SKU forecasts from a seven-model tournament

Read the forecasting case study

Use cases we've shipped

  • Store-level demand forecasting with a seven-model tournament for a global retail and logistics enterprise

Compliance frame

PCI DSS scope

If your project touches cardholder data, we design to keep AI out of PCI scope.

Using AI only where it fits

Not every problem here needs a model.

Across all of these industries, a fair amount of what we're asked to build doesn't need a model. Matching, routing, and validation rules usually work better as deterministic pipelines, which are faster, cheaper, and easier to audit. When that's the case, we'll tell you and build the pipeline.

MatchingRoutingValidation rules
Deterministic pipeline

Faster, cheaper, and easier to audit.

FusionLeap engineers to your compliance team's spec. We do not issue legal, regulatory, or audit opinions, and we are not your DPO, counsel, or auditor of record.

Don't see your industry?

If your data is sensitive and your security team gets a say, the problems tend to look the same. Tell us what you're working on. If we're not the right fit, we'll say so and suggest someone who is.

Talk to an Architect