Company profile

Inworld AI Tech Stack

Realtime voice AI models and inference for conversational apps

Software Development Mountain View, California 51–200 employees Founded 2021 Privately Held

Inworld AI builds realtime voice models (TTS, speech-to-speech, speech recognition) plus LLM routing for developers. Its stack of PyTorch, vLLM, CUDA, Ray and Kubernetes across GCP, Azure and Oracle Cloud points to a multi-cloud GPU serving operation, and senior-heavy hiring concentrated on lead and staff engineers targets sub-second multimodal inference at high concurrency. Unreal Engine and Unity in the stack signal game and interactive-media integrations.

Tech Stack 39 technologies

Core StackPython C++ PyTorch Rust Kubernetes Terraform ArgoCD Ansible Helm Go RAG JavaScript Node.js Playwright C# Jenkins TypeScript Docker vLLM CUDA Ray NVIDIA GPU Terragrunt Kustomize GCP Azure Oracle Cloud Unreal Engine Unity npm+9 more

What Inworld AI Is BuildingChallenges and projects from their job posts

◆Challenges

Sub-second, reliable multimodal inference at scale
Handling thousands of concurrent connections
Building reliable agentic systems
Expanding sales presence in North America
Scaling solutions across industries

▲Active Projects

Realtime multimodal inference platform
Distributed inference scaling and serving optimization
Realtime orchestration platform
API model services for TTS, STT, LLM router
System-wide billing
Dynamic A/B experiments

Hiring Activity

Minimal20 roles · 0 in 30d

Department

Engineering

Research

Marketing

Sales

Product

Seniority

Lead

Staff

Senior

Principal

Manager

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About Inworld AI

Inworld AI is a Mountain View, California research lab and model provider founded in 2021, focused on realtime conversational voice AI. Its products include text-to-speech, speech-to-speech, speech recognition that accounts for user context and emotion, and LLM routing that adapts to the user. It serves developers and consumer-facing applications, including agent builders and orchestration use cases. The privately held company has 51–200 employees and hires across the United States, Canada, Switzerland, Serbia and Germany.

HeadquartersMountain View, California

Company Size51–200 employees

Founded2021

Hiring MarketsUnited States, Canada, Switzerland, Serbia, Germany

Frequently Asked Questions

What tech stack does Inworld AI use?

Inworld AI uses Python, C++, Rust and Go with PyTorch, vLLM, CUDA and Ray on NVIDIA GPUs, deployed via Kubernetes, Terraform, ArgoCD and Helm across GCP, Azure and Oracle Cloud.

What is Inworld AI working on?

Projects include a realtime multimodal inference platform, a realtime orchestration platform, model serving optimization, distributed inference scaling, system-wide billing and dynamic A/B experiments.

What countries does Inworld AI hire in?

Inworld AI hires in the United States, Canada, Switzerland, Serbia and Germany, with engineering and research as the main focus and mostly lead, staff and senior-level roles.

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How this profile is built

Inworld AI'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.