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Innovaccer Tech Stack

AI infrastructure platform for healthcare operations and clinical intelligence

Hospitals and Health Care San Francisco, California 1,001–5,000 employees Founded 2014 Privately Held

Innovaccer builds infrastructure to unify healthcare data and automate administrative workflows across payers, health systems, and life sciences organizations. The tech stack reveals an AI-first engineering culture: LLM orchestration tools (CrewAI, AutoGen, LangGraph, LlamaScript), vector DBs (Chroma, FAISS), and workflow engines (n8n, Temporal, Prefect) dominate the adopting list, signaling rapid expansion into autonomous agent deployment. Active projects center on appeals automation, claims management, and AI agent workflows—translating denials reduction and claims efficiency into core product surfaces.

Tech Stack 136 technologies

Core StackGitHub Copilot Python FastAPI Django Langchain Docker Kubernetes AWS Snowflake Salesforce HubSpot Power BI Tableau Jira Confluence Flask PostgreSQL MongoDB Kafka RabbitMQ CrewAI AutoGen Chroma FAISS Excel Google Sheets ScriptRunner JWT REST API Azure+104 more
Adoptingn8n EDI LangGraph CrewAI AutoGen Semantic Kernel LlamaIndex Haystack+4 more

What Innovaccer Is Building

Challenges

  • Reducing denials
  • Churn risk
  • Legal risk mitigation
  • Efficiency in contracting
  • Customer integration complexity
  • Time-to-value
  • Reducing rework
  • Slow ai deployment timelines
  • Scaling to serve 10x customers
  • Scaling partner ecosystem

Active Projects

  • Design and build workflows on the data activation platform
  • Appeals automation and claims management product
  • Ai agent deployment on gravity platform
  • Ai workflow orchestration with n8n/temporal/prefect
  • Flow solution adoption
  • Access & outreach
  • Disaster recovery plan execution
  • Metadata management
  • Capacity and resource planning models
  • Data platform product strategy

Hiring Activity

Steady130 roles · 45 in 30d

Department

Engineering
35
Product
18
Data
14
Sales
13
Marketing
11
Healthcare
6
Support
6
HR
5

Seniority

Senior
59
Mid
29
Manager
9
Director
8
Lead
7
Junior
6
Intern
4
VP
4
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About Innovaccer

Founded in 2014 and headquartered in San Francisco, Innovaccer serves mid-to-large healthcare organizations with a data integration and AI operations platform. The company unifies siloed enterprise healthcare data into a central lake (Snowflake), then applies machine learning and agentic AI to reduce administrative friction: claims denials, appeals processing, contracting inefficiency, and population health management. They operate across health systems (Orlando Health, Adventist HealthCare, Banner Health), payers, government programs, and life sciences vendors. The product surfaces include interoperable data infrastructure, quality reporting, contract performance analytics, and increasingly, workflow automation powered by LLMs.

HeadquartersSan Francisco, California
Company Size1,001–5,000 employees
Founded2014
Hiring MarketsIndia, United States

Frequently Asked Questions

What AI and data tools does Innovaccer use?

Innovaccer runs Python, FastAPI, and Django on Kubernetes/AWS/Azure, with Snowflake and PostgreSQL as data layers. For AI: LLM frameworks (Langchain, CrewAI, AutoGen, LangGraph), vector DBs (Chroma, FAISS), and workflow orchestration (n8n, Temporal, Prefect). Adopting Semantic Kernel and LlamaIndex for agentic systems.

Where does Innovaccer hire?

Primarily United States and India. The company operates across two major geographies, with active recruitment in both regions across engineering, product, data, and sales functions.

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