Healthcare is an expert driven domain that requires multi-agent-systems. These systems turn complex clinical and administrative tasks into structured, automated workflows. The Corti Agentic Framework gives developers a dependable foundation for scaling these systems with governed memory, stable thread state, and full Agent-to-Agent (A2A) and Model Context Protocol (MCP) compatibility from the first line of code.
Clinical environments need multi-agent systems that remain reliable, consistent, and accountable, with deterministic behavior that protects patient safety.
Builders need governed data flow, clear role boundaries, and fully traceable interactions to meet strict compliance expectations.
Multi agent workflows need stable coordination that prevents message chaos, negotiation loops, nondeterministic behavior, and uncontrolled tool calling.
Prompt entropy destabilizes reasoning and routing
Scaling forces larger prompts and 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
Scaling reliable multi-agents systems in high stakes environments requires predictable agent behavior, deep domain intelligence, and full oversight. Corti provides all the building blocks out of the box.
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.
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.
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 Experts snap together into powerful multi-agent systems. Orchestration and guardrails keep complex tasks predictable and on track.
A2A and MCP compatible from the first line of code, giving developers plug and play interoperability without sacrificing control.
Governed execution, shared memory, and consistent thread state keep multi-agent systems predictable end to end. No unexpected behavior or brittle chains.
A single orchestrator coordinates agents and tools at scale, preserving performance and stability as workloads grow. Scale complexity without chaos.
Combine prebuilt Experts with custom domain logic to automate coding, auditing, and revenue workflows. Run agentic revenue cycle managemnet in a controlled, auditable environment that improves accuracy, reduces manual workload, and supports measurable financial ROI.
Build agents that retrieve medical literature, run web scale search, and interpret clinical results. Architect a structured intelligence layer inside workflows, powered by domain aware reasoning and task specific Experts.
Automate routine clinical and operational tasks with agents for scheduling, referrals, notifications, and follow through. Run multiple agents in a governed environment that keeps state consistent and ensures reliable execution across context.
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
Design next-generation healthcare workflows on our API and agentic infrastructure
Transcribe spoken notes into structured, editable text in real time
Draft evidence-based appeal letters to overturn denied claims
Verify patient eligibility and validate claims before submission
Extract and assign accurate billing codes from clinical notes
Generate and submit prior authorization requests instantly
Provide fast, conversational access to clinical knowledge and guidance
Flag potential drug interactions and medication safety risks
Match care plans to current clinical guidelines for compliance
Draft tailored treatment plans based on patient data and context
Create customized educational materials that match patient literacy and culture
Deliver reminders and support to help patients stay on track with their care plans
Enable two-way, natural-language engagement between patients and care teams
Identify and flag patients eligible for clinical trials
Draft personalized patient letters and summaries automatically
Generate and route referral letters to appropriate specialists
Automate follow-ups, reminders, and repetitive administrative tasks
Flag critical results or notes for immediate review and action
Detect patterns and trends in patient data over time
Convert raw lab data into clear, actionable summaries
Capture clinician-patient conversations and produce structured documentation
Auto-complete documentation fields using structured data and context
Pull and reconcile patient data from multiple sources
Suggest next-step orders based on patient context and clinical guidelines
Generate a unified, chronological view of the patient journey
Surface key information and insights ahead of patient encounters
Start fast with simple setup and a flexible API.
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.
Our frontier research lab studies how models reason, adapt, and collaborate. See how our research group turns new findings into practical breakthroughs in production.
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.
Clear answers about our architecture, Experts, and orchestration.
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.
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
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.
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.
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.
Go from prototype to production on a reliable, auditable, healthcare-grade agentic framework that developers trust.
