The #1 AI Agent platform for healthcare & life-sciences
↑ highest accuracy ↑ fastest reasoning ↑ most capabilities
The Corti Agentic Framework is the foundation for building AI agents that take on work in healthcare & life-sciences. We provide governed memory, stable thread state, and full Agent-to-Agent (A2A) and Model Context Protocol (MCP) compatibility from the first line of code.
Turn agent chaos into governed systems
Prompts drift, reasoning breaks
Scale requires constant retuning
Small shifts trigger unpredictable cascades
Context drift leads to clinically unsafe reasoning changes
General systems lack regulatory safeguards
One orchestrator governs every message end-to-end
Shared memory removes drift, keeps context consistent
Thread-state reasoning stable across long workflows
Tightly scoped Experts anchor precise clinical reasoning
Designed for regulated healthcare settings
The agentic age of healthcare needs governed and compliant solutions
Trustworthy behavior in complex clinical workflows
Clinical environments need multi-agent systems that remain reliable, consistent, and accountable, with deterministic behavior that protects patient safety.
Built-in governance for compliant data flow
Builders need governed data flow, clear role boundaries, and fully traceable interactions to meet strict compliance expectations.
Scalable collaboration without agent chaos
Multi agent workflows need stable coordination that prevents message chaos, negotiation loops, nondeterministic behavior, and uncontrolled tool calling.
Corti Agentic Framework is the complete agent stack for healthcare
Scaling reliable multi-agent systems in high-stakes environments requires predictable behavior, deep domain intelligence, and full oversight. Corti provides the building blocks to deploy and de-risk autonomous systems from day one.
Orchestration that keeps multi-agent systems predictable
Run multi agent systems without the chaos. The Corti Orchestrator assigns roles, routes tasks, and enforces boundaries so each agent operates within a controlled workflow.
Developers gain consistent performance and reliable context handling with governed memory, persistent thread state, and support for A2A and MCP protocols.
Experts that provide out-of-the-box domain intelligence
Compose agents from modular building blocks instead of prompt engineering a generic LLM from scratch. Use pre-configured Experts with tightly scoped clinical and administrative intelligence to automate tasks across documentation, coding, revenue cycle management, and more.
Developers get precise domain reasoning instantly, with the flexibility to integrate MCP-compatible Experts or custom tools as needed.
Guardrails and traceability for production-ready systems
Deploy agents without worrying about hidden behavior or black box decisions. The Corti Agentic Framework enforces guardrails, records complete audit trails, and gives developers full visibility into every action so systems stay compliant and accountable.
Composable
Composable Experts snap together into powerful multi-agent systems. Orchestration and guardrails keep complex tasks predictable and on track.
Extensible
A2A and MCP compatible from the first line of code, giving developers plug and play interoperability without sacrificing control.
Reliable
Governed execution, shared memory, and consistent thread state keep multi-agent systems predictable end to end. No unexpected behavior or brittle chains.
Scalable
A single orchestrator coordinates agents and tools at scale, preserving performance and stability as workloads grow. Scale complexity without chaos.
Explore AI Agent library
Clone and customize pre-built agents, or compose with experts in minutes.
What will you build?
Design next-generation healthcare workflows on our API and agentic infrastructure
Automated Coding Agent
Extract and assign accurate billing codes from clinical notes
Prior Authorization Assistant
Generate and submit prior authorization requests instantly
Patient Letter Generator
Draft personalized patient letters and summaries automatically
Ambient Scribe
Capture clinician-patient conversations and produce structured documentation
Pre-Visit Chart Reviewer
Surface key information and insights ahead of patient encounters
Build AI Agents that take on work in healthcare and life sciences
Revenue Cycle Management Agents
Run agentic revenue cycle managemnet in a controlled, auditable environment that improves accuracy and supports measurable ROI.
Clinical Intelligence Agents
Architect a structured intelligence layer inside workflows, powered by domain aware reasoning and task specific Experts.
Task Automation Agents
Automate routine clinical and operational tasks with agents for scheduling, referrals, notifications, and follow through.
With full stack integration down to the GPU
A unified stack that connects your multi-agent system directly to optimized GPU execution, giving developers full control over performance and enabling teams to focus entirely on workflow design rather than complex infrastructure.
Scale models and workloads without rearchitecting your system
Control performance bottlenecks with visibility from API to GPU
Run securely in hosted or sovereign cloud environments
Stop choosing between control and speed
Building from scratch, your team owns everything: orchestration, compliance, guardrails, integrations. With Corti, these mission critical features are included or configurable.
DIY
Configure and scale memory
Implement and prove compliance
Define and enforce safety
Customize for each workflow
Tune prompts and context
Coordinate agents and failures
Build and maintain integrations
Own and evolve stack
Build on Corti
Memory & data management
Compliance & auditability
Guardrails*
Use-case specific adaptations*
Context & prompt engineering*
Agent mesh orchestration*
Healthcare tools & integrations*
Long-term tech stack
* customizable
Build your agent in minutes
Start fast with simple setup and a flexible API.

Total peace of mind
To build trust at scale, Corti sets a higher bar for how agents handle data. Explore how our safety systems detect risks, guide decisions, and keep interactions grounded in evidence.
Frontier research
Our frontier research lab studies how models reason, adapt, and collaborate. See how our research group turns new findings into practical breakthroughs in production.
Book a scoping call
Plan your approach to agents without our in-house team on a scoping call. Align on goals and surface constraints, and build the fastest path to value – without any sales pressure.
Frequently asked questions
Clear answers about our architecture, Experts, and orchestration
Is Corti compatible with A2A and MCP agent standards?
Yes. Corti is fully compatible with both standards. It preserves their flexibility while solving the reliability, safety, and scaling gaps that make them difficult to use in healthcare.
How does Corti’s Orchestrator work?
The Orchestrator is the control plane for safe, scalable execution. It manages thread state, constructs execution graphs, validates every agent and Expert call, enforces guardrails, governs tool access, and provides a simple API for initiating and managing agent threads. It ensures predictable data flow, deterministic behavior, and complete traceability
What is an Expert, and how is it different from a tool?
An Expert is a domain specific agent that uses MCP tool interfaces combined with reasoning logic. It can call multiple models, APIs, or tools, decide when to use them, and return validated results. Experts are not tools. They encapsulate reasoning plus tool orchestration. Corti offers production grade Experts for clinical reasoning, medical knowledge, RCM, and more.
Where can Corti’s Agentic Framework be deployed?
Corti supports hosted deployments and sovereign cloud environments. The platform is multi tenant, secure, and built to meet the needs of hospitals, EHR vendors, and life sciences organizations.
What issues arise with multi agent chains using only A2A?
A2A enables agents to communicate, but it also introduces coordination overhead, message flooding, negotiation loops, latency spikes, rising compute costs, role confusion, context drift, and safety risks when agents influence each other. Debugging becomes harder because message flows are non deterministic. Without orchestration these systems become chaotic and difficult to maintain.
Build, deploy, and scale agents confidently
Go from prototype to production on a reliable, auditable, healthcare-grade agentic framework that developers trust.



