echoloc

Take2 AI Tech Stack

AI agents platform automating end-to-end healthcare recruiting

Software Development New York City 51–200 employees Privately Held

Take2 AI builds an agent network that handles healthcare hiring from job posting through offer — a narrow, high-friction workflow where speed and accuracy directly impact patient care. The tech stack reveals a full-stack production system (React/Node/Python, Kubernetes, PostgreSQL, AWS), grounded in multiple LLM providers (GPT, Claude, Gemini, Mistral, LLaMA). Pain points cluster around scaling voice pipelines to millions of interactions and reducing latency in high-throughput systems, while projects emphasize voice-agent development and orchestration logic — indicating the core product is voice-first, not chat-first, a differentiation point in AI recruiting.

Tech Stack 26 technologies

Core StackReact Node.js JavaScript TypeScript MySQL PostgreSQL Redux Python AWS Kubernetes Docker LinkedIn Ads Google Ads HubSpot Figma Salesforce WebSockets WebRTC AWS EKS AWS ECS GPT Claude Gemini LLaMA Mistral LinkedIn

What Take2 AI Is Building

Challenges

  • Reducing overhead costs
  • Boosting speed-to-hire
  • Preventing mis-hires
  • Scaling high-throughput systems
  • Filling critical clinical roles
  • Scaling to millions of interactions
  • Modernizing enterprise applications
  • Scaling voice agent pipeline to millions
  • Low latency high reliability architecture
  • Large-scale architecture challenges

Active Projects

  • End-to-end ai application development
  • Pipeline generation
  • Enterprise application modernization
  • Voice agent pipeline scaling
  • Model selection and tuning
  • Orchestration logic development
  • Lead generation engine
  • Modern ui development
  • High-throughput system architecture
  • Ai interviewers development

Hiring Activity

Decelerating10 roles · 3 in 30d

Department

Engineering
5
Sales
4
HR
1
Marketing
1

Seniority

Senior
6
Junior
2
Mid
2
Lead
1

Notable leadership hires: Growth Lead

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About Take2 AI

Take2 AI is a healthcare recruiting platform built on autonomous AI agents. The product automates the full hiring cycle — job posting, candidate screening, interviewing, and offer generation — specifically for clinical and healthcare roles. The founding team includes Stanford MBA alumni and prior leaders from top-10 health systems. The company operates at the intersection of HR operations and healthcare labor shortage, selling into health systems and healthcare staffing organizations. The active project list (voice agent pipelines, lead-gen engines, high-throughput architecture) and stated pain points (filling critical clinical roles, scaling to millions of interactions, low-latency systems) confirm the platform is production-heavy and mission-critical to customer workflows.

HeadquartersNew York City
Company Size51–200 employees
Hiring MarketsCanada, United States

Frequently Asked Questions

What tech stack does Take2 AI use?

React, Node.js, Python, PostgreSQL, MySQL on AWS (EKS/ECS, Kubernetes, Docker), integrating GPT, Claude, Gemini, and Mistral LLMs. Also uses WebRTC for voice, HubSpot/Salesforce for CRM, and LinkedIn Ads for demand gen.

What is Take2 AI working on?

Voice agent pipeline scaling, AI interviewer development, lead generation engines, orchestration logic, model selection/tuning, and enterprise application modernization. Primary focus: scaling voice pipelines to handle millions of interactions with low latency.

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