Amigo

What Amigo does

Amigo partners with healthcare organizations to build clinical AI agents that launch safely at scale in over 100 languages. The platform provides a unified data foundation for every clinical workflow, enabling care teams to operate more efficiently while meeting healthcare's safety and reliability standards. Amigo's approach involves training agents like doctors on millions of simulated patient interactions, ensuring rigorous validation and safe scalability. The platform integrates seamlessly with major EHRs and clinical systems, maintaining HIPAA, SOC 2, and GDPR compliance. Amigo offers solutions for proactive patient outreach, scheduling and reminders, and intake and triage, all designed to improve patient outcomes, reduce staff burden, and increase revenue for healthcare providers.

Products

• The Amigo PlatformAn all-in-one platform for every clinical workflow, providing a unified data foundation for care decisions. It handles the invisible layers of infrastructure—safety, compliance, reliability, scale—for building reliable AI in healthcare. The platform includes tools for defining workflows, training agents on real-world patient scenarios, deploying with white-glove support, and continuous monitoring and improvement.
• Proactive OutreachA solution to book more appointments with personalized outreach campaigns. It identifies patients needing outreach from EHRs, uses multi-channel communication (SMS, voice, chat, patient portal), targets specific cohorts, personalizes conversations with clinical context, and offers real-time scheduling and campaign analytics.
• Scheduling & RemindersAn AI-powered solution to book more appointments and reduce no-shows. It handles booking, rescheduling, and reminders, picking up calls and messages instantly. Features include real-time scheduling, complex scheduling logic, insurance verification, personalized reminders, and natural conversation.
• Intake & TriageA solution to reduce time spent on manual intake by 80%+. It replaces static forms with adaptive AI-powered conversations available 24/7, collecting full clinical data, performing clinical triage, and intelligently escalating complex cases.
• Pre-Visit PreparationEnsures every patient arrives prepared for visits and procedures by automatically guiding them through requirements like paperwork and procedure-specific instructions. Features include protocol-based guidance, insurance and demographic verification, medication reconciliation, and consent/questionnaire collection.
• Classic APIA text-based API for consumer-facing digital health products, supporting chat agents, async voice notes, and WebSocket streaming. It is organization-scoped with per-user JWT authentication.
• Platform APIAn API for enterprise voice and healthcare deployments, supporting phone-based voice agents, EHR integration, operator escalation, and safety monitoring. It is workspace-scoped with API key or scoped bearer token authentication.
• Scribe APIAn API covering provider-owned clinical documentation sessions, including transcripts, notes, summaries, checklists, and coding suggestions. It uses provider session tokens.
• Data-MCPAn active, standalone service for compatible MCP clients, offering read-only SQL exploration of Classic organization data.

Key capabilities

• Clinical AI agents
• Unified data foundation
• Millions of simulated patient interactions for training
• HIPAA, SOC 2, and GDPR compliance
• Native integration with major EHRs and clinical systems
• Multi-channel outreach (SMS, voice, chat, patient portal)
• Real-time scheduling
• Personalized outreach and reminders
• Cohort targeting
• Campaign analytics
• Natural conversation
• Intelligent escalation
• EHR write-back
• Adaptive intake
• Clinical triage
• Full clinical data capture
• Protocol-based guidance for pre-visit prep
• Insurance verification
• Medication reconciliation
• Consent and questionnaire collection
• AI Trust Infrastructure (Access Control, Incident Response, Data Encryption, Audit & Compliance, Agent Governance, Observability Suite)
• State-Based Architecture
• Memory System
• Safety Guardrails
• Evaluation Architecture
• Knowledge Retrieval
• Global Directives
• Agent Visibility
• Behavior Triggers
• Simulations
• Dynamic Tool Calling
• Reinforcement Learning
• Multi-Provider LLM Support

Use cases

• Patient acquisition
• Engaging existing patients
• Closing care gaps
• Booking appointments
• Rescheduling appointments
• Sending appointment reminders
• Handling appointment cancellations
• Reducing no-shows
• Streamlining patient intake
• Clinical triage and routing
• Collecting clinical data (symptoms, medical history, medications, allergies, social determinants, lifestyle factors)
• Pre-visit preparation and guidance
• Verifying insurance and demographics pre-visit
• Medication reconciliation pre-visit
• Collecting consent and questionnaires pre-visit
• Scaling health coaching
• Transforming psychiatric care
• Delivering continuous cancer survivorship care
• Provider documentation workflows

AI approach

Amigo provides a platform for building, training, and deploying clinical AI agents in healthcare. They focus on creating reliable AI infrastructure with safety guardrails, compliance, and scalability. Their approach involves defining workflows, identity, persona, and clinical reasoning, then training agents on millions of simulated patient interactions, and continuously monitoring and improving performance. They emphasize a "Digital Residency" where agents are trained like doctors on virtual patients, over-indexing on edge cases to ensure safety and coverage. The platform includes features like state-based architecture, memory systems, safety guardrails, evaluation architecture, knowledge retrieval, global directives, agent visibility, behavior triggers, simulations, dynamic tool calling, and reinforcement learning. They also offer multi-provider LLM support, allowing model selection to be configured by resource and channel.

Tech named: State-Based Architecture, Memory System, Safety Guardrails, Evaluation Architecture, Knowledge Retrieval, Global Directives, Agent Visibility, Behavior Triggers, Simulations, Dynamic Tool Calling, Reinforcement Learning, LLM, OpenAI, FHIR, SQL API, Delta Sharing, MCP (Model Context Protocol)

Industries served

• Hospitals and Health Care
• Primary Care
• Digital Health
• Orthopedic
• Women's Health
• Behavioral Health
• Cancer Care

What it says sets it apart

• Trains agents with the same rigor as clinicians on millions of simulated patient interactions
• Guarantees safe performance before agents interact with real patients through extensive simulation
• Platform built specifically to meet healthcare's safety, compliance, reliability, and scale standards
• Offers complete control and auditability over agent behaviors while delivering natural conversational experiences
• Seamless integration with EHRs and existing workflows managed end-to-end by Amigo's team
• Consultative approach for rapid time-to-value, launching in as little as 6 weeks
• AI agents learn from every patient interaction with continuous improvement and real-time performance monitoring
• Clinical leadership ensures patient and provider outcomes are at the core of development
• Ability to handle complex scheduling logic, including provider-specific availability, insurance panels, and location hours
• Adaptive intake conversations that dynamically adjust based on patient responses
• Clinical safety guardrails validated through the Digital Residency program
• Full conversation memory, remembering prior interactions to inform future conversations
• Enterprise-grade security frameworks, real-time observability, and governance tools purpose-built for healthcare

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.