Salt OS

Salt OS is the secure operating system for enterprise AI, developed by Salt AI to serve as an intelligence fabric that unifies models, data, governance, and context within an organisation's own infrastructure. Designed for highly regulated industries — including life sciences, financial services, and government and defence — Salt OS enables teams to deploy production-grade AI workflows without compromising data sovereignty, compliance, or auditability.

Salt AI is trusted by top-20 pharma organisations and leading university research institutions to run AI at the hardest edge of regulation. The platform is model-agnostic, built for speed and cost performance, and designed to invite collaboration across engineers, scientists, and executives alike.

Core Platform Capabilities

• Context-Aware Orchestration: Captures prompts, parameters, model behaviour, and user context across every run, building a compounding intelligence asset over time.
• Model-Agnostic Runtime: Enables hot-swapping between models from different eras and architectures, eliminating the need to rebuild brittle pipelines when a new best-in-class model becomes available.
• Full Audit Trail: Every input, prompt, parameter, output, and error is logged with lineage tracking, making the system ready for regulatory review at any time.
• Private Deployment: Runs fully within your VPC, on-premises, or in air-gapped environments, with zero public egress by default — your data never leaves your infrastructure.
• API / SDK Interface: Teams and applications connect to the intelligence fabric via a standard API and SDK layer, enabling read/write context access across the platform.
• Telemetry and Performance Monitoring: Built-in telemetry provides visibility into performance across all AI runs and workflows.
• Governance and Compliance Layer: Dedicated governance controls are embedded within the orchestration fabric to support ongoing compliance requirements.

Industry Applications

• Life Sciences: Supports molecular design AI, clinical trial optimisation, agentic data navigation, and portfolio analysis — running in production at top-20 pharma. Reported outcomes include an 85% reduction in pipeline build time and approximately 70% reduction in compute costs.
• Financial Services: The same compliance rigour built for pharma R&D maps directly to the auditability, data sovereignty, and regulatory demands of global financial institutions. Use cases include risk model pipelines, regulatory reporting AI, KYC/AML automation, and market intelligence.
• Government and Defence: Salt OS's air-gapped, on-premises architecture is purpose-built for federal and defence organisations facing the strictest data controls. Applications include intelligence orchestration, secure document AI, logistics optimisation, and mission-critical pipelines, with a FedRAMP path in development.

Security and Compliance Standards

• SOC 2 Type II certified
• HIPAA compliant
• Private cloud deployment
• Run-as-User model for access control
• Full audit trail across all operations
• Zero public egress by default

Salt OS is deployed as an orchestration and context engine operating entirely inside the customer's own environment, supporting VPC, on-premises, and air-gapped infrastructure configurations. The platform connects to existing ML infrastructure — including models, tools, and vector storage — and is designed to scale across the most demanding regulated industries without requiring data to leave the organisation's control.