webAI Tech Stack

On-premises AI platform for sovereign, mission-critical deployments

Software Development Austin, Texas 51–200 employees Founded 2020 Privately Held

webAI builds private AI infrastructure for enterprises that cannot use public cloud—defense, public sector, aviation, manufacturing. The tech stack reveals a distributed-systems foundation (Kubernetes, Docker, Python, Java) paired with ML primitives (TensorFlow, PyTorch) and real-time networking (WebSockets, MQTT). Active projects span on-device inference (Apple platforms), edge AI, distributed inference, and public-sector secure infrastructure, signaling a pivot from pure model training toward production deployment and observability—backed by a heavily senior-weighted engineering org (24 senior roles of 26 engineering hires) focused on hardening rather than rapid feature expansion.

Tech Stack 78 technologies

Core StackReact Vite GitLab Cypress Redux TypeScript Selenium Playwright Jenkins GitHub Actions CircleCI Python JavaScript Java Docker Kubernetes Jira TensorFlow PyTorch AWS Electron WebSockets MQTT Zustand XState HTML CSS SCSS Git Azure+47 more

What webAI Is Building

◆Challenges

Building production ready ai systems
Resource constrained intermittent connectivity
Ensuring platform reliability
Secure distributed ai infrastructure
Scalability and flexibility
Compliance with federal security frameworks
Reliable ai operations across heterogeneous environments
Real-time data processing at the edge
Avoiding monolithic backend
Private financing support

▲Active Projects

Advanced synchronization and networking systems
Public sector ai deployment
On-device inference engine for apple platforms
Observability and monitoring design
Public sector secure distributed ai infrastructure
Distributed inference platform
Real-time communication systems
Productize patterns
Edge ai deployment
Intelligent mesh platform

Hiring Activity

Decelerating35 roles · 10 in 30d

Department

Engineering

Product

Research

Legal

Ops

Sales

Security

Seniority

Senior

Mid

Staff

Director

Junior

Lead

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About webAI

webAI enables enterprises to deploy and operate custom AI models on infrastructure they control, eliminating dependence on third-party cloud providers. The platform is purpose-built for organizations in regulated industries (defense, public sector, aviation, manufacturing) where data sovereignty, compliance, and deterministic performance are non-negotiable. The product spans model deployment, real-time inference at the edge, distributed compute, and operational observability across heterogeneous hardware. Founded in 2020 and headquartered in Austin, webAI operates as a lean, senior-engineering-focused team addressing the gap between AI experimentation and production readiness in air-gapped and resource-constrained environments.

HeadquartersAustin, Texas

Company Size51–200 employees

Founded2020

Hiring MarketsUnited States

Frequently Asked Questions

What is webAI's tech stack?

webAI runs React + Vite + Electron for frontend, Python + Java + TensorFlow + PyTorch for ML, and Kubernetes + Docker for deployment. CI/CD: GitLab, GitHub Actions, CircleCI. Testing: Cypress, Playwright, Selenium.

What is webAI working on?

Current projects include on-device inference for Apple platforms, distributed inference platforms, edge AI deployment, public-sector secure infrastructure, real-time communication systems, and operational observability.