Suki Tech Stack

Ambient AI for clinical documentation and healthcare revenue cycle

Software Development Redwood City, California 201–500 employees Founded 2017 Privately Held

Suki builds LLM-powered ambient intelligence for health systems, with a tech stack spanning GPT, Llama, and Google Vertex AI alongside distributed backend systems (Kafka, gRPC, Kubernetes). The hiring mix is engineering-heavy (14 roles) with concentrated product and sales hiring, reflecting a scale phase where core infrastructure and feature velocity matter as much as go-to-market. Active projects around EMR integration, microservices rearchitecture, and ML-driven backend services show the company is deepening platform embedding into existing hospital workflows rather than building from scratch.

Tech Stack 41 technologies

Core StackLangChain Kubernetes Vertex AI Go Python C++ PyTorch gRPC JavaScript React TypeScript Swift Kotlin GraphQL Docker Linux React Native Java Kafka GPT Llama LangGraph GCP vLLM JAX Transformers LLAMA Protocol Buffers Android Electron+10 more

AdoptingGoogle

What Suki Is Building

◆Challenges

Reducing administrative burden
Improving documentation speed
Improving emr navigation
Time-consuming administrative tasks
Hard to navigate ehr systems
Low adoption of ai voice solutions
Scaling legal infrastructure
Complex it infrastructure
Scaling backend services
Rearchitecting healthcare technology stack

▲Active Projects

Digital assistant
Emr integration platform
Designing new features
Refining existing product
Suki for partners deployment
Ml-driven backend services
Distributed systems for messaging and storage
Microservices architecture implementation
Sales enablement playbooks
Unified technical strategy

Hiring Activity

Accelerating35 roles · 15 in 30d

Department

Engineering

Product

Sales

Support

Data

Finance

Healthcare

Legal

Seniority

Senior

Mid

Manager

Director

Lead

Staff

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About Suki

Suki delivers ambient clinical intelligence for health systems, automating documentation, improving coding accuracy, and surfacing clinical insights at the point of care. The platform integrates with major EHR systems and is trusted by 400+ health systems across the United States. The product surface combines voice-driven documentation capture, real-time clinical reasoning, and revenue cycle optimization. Suki operates as an engineering-first organization with distributed systems and microservices as core architectural bets, supported by a growing product and sales team across the United States and India.

HeadquartersRedwood City, California

Company Size201–500 employees

Founded2017

Hiring MarketsUnited States, India

Frequently Asked Questions

What is Suki's tech stack?

Suki uses GPT and Llama LLMs with LangChain/LangGraph orchestration, Vertex AI on GCP for inference, and a distributed backend built on Kafka, Kubernetes, gRPC, and Protocol Buffers. Frontend spans React, React Native, Swift, and Kotlin across web and mobile surfaces.

What is Suki working on?

Active projects include a digital assistant, EMR integration platform, ML-driven backend services, microservices architecture implementation, and distributed systems for messaging and storage. The company is also scaling sales enablement and defining unified technical strategy.