echoloc

Qventus, Inc Tech Stack

AI automation for hospital operations and clinical workflows

Hospitals and Health Care Mountain View, California 51–200 employees Founded 2012 Privately Held

Qventus operates an AI operations platform for health systems, built on Python, TypeScript, React, and AWS infrastructure with a modern ML stack (Databricks, Snowflake, dbt) paired with LLM integrations (GPT, Gemini, LLaMA). Active hiring is concentrated in engineering and product roles across senior and leadership levels—a mix reflecting both platform maturation and the complexity of deploying AI into clinical environments. Current projects span conversational AI, workflow automation, and multi-module enterprise deployments, suggesting a shift from single-problem solutions toward an integrated operational assistant.

Tech Stack 36 technologies

Core StackPython TypeScript React AWS Kubernetes Java Salesforce Zendesk Jira Datadog Databricks Snowflake dbt Langchain Playwright JavaScript Postman Jenkins Gong Looker FHIR GPT Gemini LLaMA Dialogflow Rasa Amazon Lex Zephyr HL7 Sigma Computing+5 more
AdoptingCursor

What Qventus, Inc Is Building

Challenges

  • Simplifying healthcare operations
  • Business line conversion
  • Clinical workflow overhauls
  • Complex process redesigns
  • Adoption of ai solutions
  • Enterprise-wide saas implementation
  • Inefficient development processes
  • Complex perioperative deployments
  • Risk anticipation
  • Complex health system dynamics

Active Projects

  • Platform-as-a-service offering
  • Ai operational assistant studio
  • Ai voice & conversational ai capability suite
  • Clinical workflow overhauls
  • Implement new solution functionality at live clients
  • Establish standard collateral for client training
  • Inpatient capacity solution deployment
  • Enterprise-wide multi-module deployments
  • Ai coding tool integration
  • Internal developer platform development

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Engineering
4
Product
3
Support
3
Ops
2
Sales
2
Healthcare
1

Seniority

Senior
8
Lead
2
Director
1
Manager
1
Mid
1
Principal
1
VP
1
Company intelligence

Find more companies like Qventus, Inc by tech stack, pain points and active projects

Get started free

About Qventus, Inc

Qventus builds AI-powered operations software for hospital systems and health networks. The platform automates administrative tasks, surfaces operational bottlenecks, and recommends or executes interventions across inpatient care, surgical throughput, and capacity planning. The company operates a PaaS offering alongside client implementations, targeting both C-suite stakeholders (ROI, cost reduction, capacity growth) and frontline clinical staff (burnout reduction, workflow efficiency). Based in Mountain View and founded in 2012, the company has scaled to 51–200 employees and is actively hiring across engineering, product, and healthcare roles in the US and Argentina.

HeadquartersMountain View, California
Company Size51–200 employees
Founded2012
Hiring MarketsUnited States, Argentina

Frequently Asked Questions

What tech stack does Qventus use?

Python, TypeScript, React, AWS, Kubernetes, Databricks, Snowflake, dbt, GPT, Gemini, and LLaMA. Healthcare integration uses FHIR and HL7. Operational tools include Salesforce, Zendesk, Jira, Datadog, and Gong.

What is Qventus building?

An AI operational assistant studio, conversational AI capabilities, clinical workflow redesign tools, inpatient capacity solutions, and an internal developer platform. Current focus includes platform-as-a-service offerings and multi-module enterprise deployments at live health system clients.

How this profile is built

Qventus, Inc's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.