Hamming AI Tech Stack

AI Voice Agent QA platform for testing and monitoring

Technology, Information and Internet San Francisco, California 11–50 employees Founded 2024 Privately Held

Hamming AI provides quality assurance and monitoring for AI voice agents in production. The tech stack—TypeScript, Node.js, Python, Temporal, LiveKit, and observability tools (OpenTelemetry, SigNoz)—reflects a company built for real-time orchestration and debugging of voice systems at scale. Active projects center on parallel-call hardening (targeting 10k concurrent calls), LLM guardrails, and incident response automation, with pain points clustered around reliability and data-pipeline integrity—a sign the platform is moving from MVP testing toward production-grade monitoring and SLA enforcement.

Tech Stack 22 technologies

Core StackTypeScript Node.js Python Temporal Redis PostgreSQL AWS Terraform OpenTelemetry Kubernetes Cursor React Next.js Tailwind CSS OpenAI Anthropic LiveKit SigNoz Zed Devin CI/CD DSPy

What Hamming AI Is Building

◆Challenges

Scaling high-availability systems
Reducing mean-time-to-truth
Reliability pain
Hardening 10k parallel calls
Ensuring reliable data pipelines
Harden ingestion pipelines
Insufficient time to satisfy customer demand
Scaling reliability for 10k calls

▲Active Projects

Voice-agent qa workflows
Ship llm-driven behaviors with guardrails
Core services orchestration for real-time voice agents
Debugging workflows for voice agents
Harden ingestion, evaluation, and analytics pipelines
Build ci/cd and incident response playbooks
Scale platform to 10k parallel calls
Productize human playbooks
Build new products to improve voice agent reliability
Create voice simulations modeling real world

Hiring Activity

Minimal7 roles · 0 in 30d

Department

Engineering

Product

Seniority

Mid

Senior

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About Hamming AI

Hamming AI operates a QA platform purpose-built for AI voice agents deployed by healthcare, customer service, logistics, and support automation teams. The product surface spans automated testing workflows, real-time monitoring, LLM behavior guardrails, and human playbook productization. Founded in 2024 and based in San Francisco with 11–50 employees, the company is engineering-led (6 of 7 active roles) with mid- to senior-level hires, reflecting early-stage focus on core platform reliability and orchestration. Customers include Luma, Netomi, Augment, Maven AGI, Lorikeet, and Grove.

HeadquartersSan Francisco, California

Company Size11–50 employees

Founded2024

Hiring MarketsUnited States, United Kingdom

Frequently Asked Questions

What tech stack does Hamming AI use?

TypeScript, Node.js, Python, LiveKit, Temporal, Redis, PostgreSQL, AWS, Kubernetes, OpenTelemetry, SigNoz, OpenAI, and Anthropic. The stack prioritizes real-time orchestration and observability for voice systems.

What is Hamming AI working on?

Voice-agent QA workflows, LLM-driven behaviors with guardrails, core services orchestration, debugging tools, data-pipeline hardening, and scaling to 10,000 parallel concurrent calls. Also productizing human playbooks for voice-agent reliability.

Where is Hamming AI headquartered?

San Francisco, California. The company was founded in 2024 and has 11–50 employees, with hiring activity in the United States and United Kingdom.