One platform to build intelligent AI agents and deploy full-stack applications. From code to production in minutes with HIPAA-compliant infrastructure.
THE PLATFORM
Build AI agents that understand healthcare, then deploy the applications that use them — all from Hikigai.
Pre-built healthcare agents for clinical documentation, medical coding, and revenue cycle management. Deploy custom agents with our SDK.
from hikigai.appsdk import AppClient
client = AppClient()
agent = client.agent("icd-10-coder")
codes = agent.invoke(clinical_note)Deploy full-stack applications directly from GitHub. Auto-detect frameworks, build Docker images, and get live HTTPS URLs in minutes.
HOW IT WORKS
Create intelligent healthcare agents, deploy them to the marketplace, build applications that leverage them, and ship everything to production.
Use our SDK to build AI agents tailored to healthcare workflows — clinical notes, medical coding, prior auth, and more.
Publish your agent to the Hikigai marketplace. It goes through moderation, gets listed, and is instantly available to every app on the platform.
Build a full-stack application that consumes your agents. Connect your GitHub repo — we detect frameworks and configure everything automatically.
Hit deploy and watch it go live. Your app gets a production URL with platform API keys auto-injected — it can call your agents instantly.
Build the intelligence, ship the experience. Agents power the AI, apps deliver it to your users — all from one unified platform.
PRE-BUILT AGENTS
Documentation
Summarize lengthy clinical notes into structured SOAP format.
client.agent("clinical-note-summarizer")Medical Coding
Automatically suggest ICD-10 codes from clinical documentation.
client.agent("icd-10-coder")Medical Coding
Suggest appropriate CPT procedure codes with E/M leveling.
client.agent("cpt-code-assistant")Revenue Cycle
Draft prior authorization requests with clinical justification.
client.agent("prior-auth-assistant")Clinical Decision Support
Analyze medication lists for drug-drug interactions.
client.agent("medication-checker")Documentation
Generate comprehensive discharge summaries from inpatient records.
client.agent("discharge-summary-generator")The Model Context Protocol (MCP) gives your AI agents real-time access to healthcare data sources, EHR systems, and clinical tools. Hikigai offers purpose-built MCP servers for the healthcare ecosystem.
Your agents can query patient records, look up drug interactions, pull lab results, and interface with clinical workflows — all through standardized MCP connections that keep data secure and compliant.
FHIR-based access to patient records, encounters, allergies, and medications.
ICD-10, CPT, SNOMED CT, and LOINC code lookups with semantic search.
Real-time drug-drug and drug-allergy interaction checking via RxNorm.
Structured lab data with reference ranges, trends, and critical value alerts.
Standardized protocol for healthcare data access
YOUR AI AGENTS
HIKIGAI MCP SERVERS
HEALTHCARE DATA SOURCES
agent = AppClient().agent("icd-10-coder")
# Agent auto-connects to MCP servers
# for EHR data and terminology lookups
result = agent.invoke(
clinical_note,
mcp_servers=["epic-ehr", "terminology"]
)APP DEPLOYMENT
Deploy your Next.js, React, or Python apps directly from GitHub. We auto-inject platform API keys so your deployed app can call your AI agents out of the box.
Connect your repos, pick a branch, and deploy. Auto-deploy on push to main.
Automatically detects Next.js, React, Express, FastAPI, and more. Generates optimized Dockerfiles.
HIKIGAI_API_KEY, PROJECT_ID, and PLATFORM_URL are auto-set. Your app calls agents without any manual setup.
Watch your app build and deploy with live streaming logs. Know exactly what's happening.
SUPPORTED FRAMEWORKS
ENTERPRISE READY
Enterprise-grade security with BAA available. Data encrypted at rest and in transit.
Apps scale automatically based on traffic. Pay only for what you use with Fargate.
Push to main, auto-deploy. Webhooks trigger builds automatically from GitHub.
Fine-grained permissions for teams. Owners, admins, developers, and app developers.
Deploy AI agents and ship production apps from one platform.