webAI Tech Stack

On-premise AI deployment for mission-critical and government environments

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

webAI builds AI infrastructure designed to run entirely on customer hardware, targeting public-sector and defense workloads where data cannot leave the organization. The tech stack reveals deep investment in distributed systems (Kubernetes, MQTT, WebSockets) and ML inference optimization (PyTorch, ONNX, TensorRT), while projects focus on edge deployment, resilient networking under intermittent connectivity, and secure multi-node synchronization — core requirements for air-gapped or low-bandwidth government and industrial settings.

Tech Stack 80 technologies

Core StackReact Vite GitLab Cypress Redux TypeScript Selenium Playwright Jenkins CircleCI Python JavaScript Java Docker Kubernetes Jira PyTorch Electron WebSockets MQTT Zustand XState SCSS ONNX TensorRT Wi-Fi Bluetooth WebRTC Unreal Engine Unity+50 more

What webAI Is Building

◆Challenges

Resource constrained intermittent connectivity
Optimizing ai systems for secure distributed environments
Privacy-preserving ai
Secure distributed ai infrastructure
Deploying large-scale ai models on consumer hardware
Chaos in delivery processes
Optimizing ai models for edge devices
Performance under intermittent connectivity
Ensuring high confidence in releases
Ad hoc proposal efforts

▲Active Projects

Advanced synchronization and networking systems for ai operations
Public sector ai system optimization
Llm research
Public sector secure distributed ai infrastructure
Resilient ingestion patterns for unreliable systems
Connector development for heterogeneous data sources
Edge device ai deployment
Rag pipeline development
Ai-focused engagements
Logging and monitoring for integrations

Hiring Activity

Accelerating20 roles · 10 in 30d

Department

Engineering

Research

Data

Ops

Sales

Seniority

Senior

Director

Staff

Mid

Company intelligence

Find more companies like webAI by tech stack, pain points and active projects

Get started free

About webAI

webAI provides a platform for enterprises to deploy and operate AI models on their own infrastructure rather than cloud providers. The company serves public-sector, defense, aviation, and manufacturing organizations that require full data sovereignty and cannot rely on external cloud environments. Founded in 2020 and based in Austin, Texas, webAI operates as a privately held company with 51–200 employees. The product stack spans model training (PyTorch), inference optimization (TensorRT, ONNX), and distributed orchestration (Kubernetes), alongside frontend tooling (React, Electron, WebSockets) for integration and monitoring across heterogeneous hardware environments.

HeadquartersAustin, Texas

Company Size51–200 employees

Founded2020

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does webAI use?

webAI builds with React and Electron for UI, Kubernetes and Docker for orchestration, PyTorch and TensorRT for ML inference, and MQTT and WebSockets for distributed synchronization. Testing relies on Cypress, Playwright, and Selenium. CI/CD runs on CircleCI and Jenkins.

What is webAI working on?

Active projects include edge device AI deployment, secure distributed infrastructure for public sector, resilient networking under intermittent connectivity, RAG pipeline development, and integrations for heterogeneous data sources. The team also focuses on LLM research and logging/monitoring for distributed AI operations.

How this profile is built

webAI'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.