Most enterprises hit the same wall when moving GenAI from pilot to production: the trade-off between speed and control. Open access to frontier models comes at the cost of sovereignty, governance, and predictable cost. Building those controls in-house slows everything down. Core42 Compass is built to remove that trade-off.
Compass is a full-stack GenAI platform that gives developers a single API to access 50+ leading open and closed-source models, including offerings from OpenAI, Anthropic, Meta, Mistral, DeepSeek, xAI, and JAIS. Teams can switch models without rewriting their stack, compare performance side-by-side in the Compass Playground, and scale from prototype to high-throughput inference processing hundreds of millions of tokens in minutes.
Sovereignty is built into the architecture, not bolted on. Compass runs in Azure UAE with in-country data residency, encryption at rest and in flight, SOC2 Type II compliance across 170 policies, and zero customer data logging. That means regulated and high-trust environments can run frontier GenAI without compromising on data protection or compliance posture.
Beyond access, Compass includes the operational layer enterprises actually need to run GenAI responsibly: resource and usage management across teams, built-in metering and billing visibility, secure private endpoints, access controls, and guardrails. Combined with 24/7 support and 99.5% uptime, teams get startup speed with enterprise-grade control.
Production workloads are supported through batch processing APIs for high-volume inference, fine-tuning services to customize models to specific domains, and agentic frameworks for building autonomous multi-step workflows. The brochure walks through six common build patterns, from enterprise knowledge assistants and RAG applications to GenAI copilots and agentic AI workflows.
