Cat1 isn't a SaaS. We're the team that takes your use-case from “interesting” to “in production”—on Azure AI Foundry or AWS Bedrock, using whichever models and integrations actually fit. Here's what we build, layer by layer.
Azure AI Foundry is our home stack—where most of our active production agents run today. AWS Bedrock is fully supported when contracts, data residency or existing investment make it the right call.
We build directly inside Foundry projects—using Agent Service, Prompt Flow, AI Search and built-in evaluation. Tenant-isolated, billed on your Azure subscription, governed by your Entra and Purview policies.
When AWS is the right home—data already there, existing IAM and VPC patterns—we deliver agents on Bedrock with the same evaluation rigor and operating discipline.
CMMC, HIPAA, GDPR, PCI—the framework determines the agent boundary, the data flow and what gets logged where. We design for the audit, not around it.
Agents deployed inside GCC-High tenants with Entra ID Government, Purview DLP, and explicit data-export blocks. CUI never leaves the boundary; every action is logged for audit.
BAA-covered model endpoints, deterministic PHI redaction on ingress, opt-out from model training, and de-identification layers before any tool call that crosses a trust boundary.
EU data residency on Azure West Europe or AWS eu-west. Right-to-erasure flows through the retrieval layer so deletes propagate to vector indexes, not just primary stores.
Card data never enters the prompt. Tokenization layer keeps regulated data behind a permissioned tool call; agent receives only what's necessary, logged with reason.
