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Hatch Tech Stack

AI customer service agents for contact centers across voice, SMS, and email

Software Development New York, NY 51–200 employees Founded 2016 Privately Held

Hatch operates a conversational AI platform for contact centers, built on Elixir + Phoenix + PostgreSQL + MongoDB, with Python microservices (Django, FastAPI) running on AWS EKS and GCP. The hiring mix is heavily weighted toward sales (5 roles) and product (2) versus engineering (1), with acceleration in senior and manager-level positions—a pattern consistent with a sales-led go-to-market phase scaling revenue delivery rather than platform infrastructure.

Tech Stack 49 technologies

What Hatch Is Building

Challenges

  • Unlock revenue from lead pipeline
  • Scale 1:1 communication without headcount
  • Reducing overhead
  • Integration challenges
  • Adoption gaps
  • Technical issues
  • Messy customer problems
  • Improving cac and payback period
  • Increasing pipeline and revenue
  • Improving lead quality

Active Projects

  • Multi-brand implementations
  • Zapier automations
  • Integration and data setup
  • End-to-end delivery of ai agents
  • Define agent workflows and prompts
  • Monitor live agent performance and customer feedback
  • Full-funnel growth campaigns
  • Account-based marketing campaigns
  • Signal-based growth engine
  • Standardized postgres architecture playbook

Hiring Activity

Accelerating9 roles · 6 in 30d

Department

Sales
5
Product
2
Engineering
1
Marketing
1

Seniority

Senior
4
Junior
2
Manager
2
Mid
1
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About Hatch

Hatch builds AI customer service representative agents that handle inbound and outbound communication across voice, SMS, and email channels. The platform sits within contact centers and is designed to lower operating costs while maintaining or improving customer satisfaction and conversion metrics. The company operates across multi-tenant implementations, with Zapier-driven workflow automation and tight Salesforce integration. Current project focus includes agent workflow definition, real-time performance monitoring, and standardized deployment patterns—alongside sales-driven initiatives like account-based marketing and pipeline signal analysis.

HeadquartersNew York, NY
Company Size51–200 employees
Founded2016
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Hatch use?

Hatch runs Elixir + Phoenix on the backend with PostgreSQL and MongoDB for storage, Python services (Django, FastAPI) for supporting APIs, and Kubernetes + AWS EKS for orchestration. The stack also includes Redis, Terraform, Docker, and Jenkins for CI/CD.

What is Hatch working on?

Active projects include end-to-end AI agent delivery, multi-brand implementations, Zapier automation setup, agent workflow and prompt definition, live performance monitoring, and growth campaigns including account-based marketing and signal-based pipeline analysis.

How this profile is built

Hatch'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.