KIRHA provides a sovereign AI agent orchestration platform purpose-built for regulated industries, particularly healthcare and life sciences. The company enables accountable teams to deploy AI agents that access curated data sources with full audit trails, ensuring every decision is defensible and compliant with strict regulatory standards.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare and life sciences organizations face significant challenges deploying AI in regulated environments where every decision must be defensible, every byte is regulated, and all actions must be traceable. Traditional AI implementations lack the certified infrastructure, audit trails, and compliance surfaces needed to handle sensitive clinical data, forcing teams to choose between innovation and regulatory compliance.
Solution
KIRHA provides a sovereign AI agent orchestration platform designed specifically for regulated workflows, starting with healthcare and life sciences. The platform routes AI agents to curated data providers through a semantic layer that filters and translates tool definitions, ensuring optimal performance while maintaining compliance. KIRHA's agent orchestrator, written in Rust, manages the complete task-to-agent-to-workspace lifecycle with features like per-task secret isolation, kernel-enforced read-only sub-paths, and persisted event logs, all running on certified infrastructure that keeps regulated clinical data within the customer's perimeter. The platform powers end-to-end agents for clinical trials data programming, clinical decision support, pharmacovigilance, and systematic literature reviews, with the ability to process 60,000+ abstracts in under 72 hours while maintaining full PRISMA compliance and audit trails.
Target Audience
Primary customers are healthcare organizations, pharmaceutical companies, contract research organizations (CROs), and life sciences teams that need auditable AI solutions for clinical trials, regulatory compliance, and evidence-based decision-making in regulated environments.
Features
- Semantic Layer with hierarchical clustering that maps tools to canonical actions, reducing planner context from 100+ tools to under 30 for optimal orchestration performance
- Agent orchestrator written in Rust with WebSocket streaming, per-task secret isolation, multi-mount workspaces, and restart recovery for production-grade reliability
- OpenSAS toolchain for generating submission-ready CDISC datasets and SAS programs from clinical trial specifications in hours instead of weeks
- Continuous evidence monitoring across PubMed, HAS, NCCN, NIH, and trial registries with provenance on every result and structured citations
- Pharmacovigilance agent that monitors FDA FAERS and EudraVigilance with PRR and ROR scores computed in minutes and audit-ready documentation
- Configurable agent runtime supporting deployment on certified infrastructure (HDS, HIPAA) with a `persist_output: false` switch for PHI workloads
- Data provider network with 50+ integrated sources including Vidal drug dictionary, Xverse for Bitcoin data, and Linkup for web search fallback
- KIRHA Tasks orchestration system for multi-step agentic workflows that go beyond single-prompt capabilities