
webAI helps enterprises build, deploy, and operate custom AI on infrastructure they own, not in someone else’s cloud. Built for mission-critical environments, webAI brings AI to your data so organizations can run private, specialized models with full data sovereignty, real-time performance, and predictable economics. From public sector and defense to aviation and manufacturing, organizations that require the most private AI platform choose webAI to move from experimentation to production faster, owning their intelligence instead of renting it.

webAI helps enterprises build, deploy, and operate custom AI on infrastructure they own, not in someone else’s cloud. Built for mission-critical environments, webAI brings AI to your data so organizations can run private, specialized models with full data sovereignty, real-time performance, and predictable economics. From public sector and defense to aviation and manufacturing, organizations that require the most private AI platform choose webAI to move from experimentation to production faster, owning their intelligence instead of renting it.
Positioning: Sovereign AI platform for running custom AI on customer-owned local/on-device infrastructure
Founded: 2019
Headquarters: Austin, TX
Reported capital raised: 60,000,000 USD (reported Sep 2024)
Recent valuation: Reached a $2.5 billion pre-money valuation (Jan 2026 announcement)
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Data sovereignty and operationalizing AI for mission-critical, high-privacy, low-latency environments (public sector, defense, aviation, manufacturing, and other enterprises requiring private AI).
2019
IT Services and IT Consulting
Series A completed at a reported $700 million valuation; the announcement stated total capital raised of $60M since inception.
Recently closed, oversubscribed funding round valuing the company at $2.5 billion pre-money; round amount not disclosed. Named participating investors include TIME Ventures, Atreides Management, Forerunner, and OXCART Ventures.
“Investors named include Forerunner Ventures, Atreides Management, TIME Ventures, OXCART Ventures, and EPIQ Capital Group.”
About Us: We are establishing the first distributed Al infrastructure dedicated to personalized Al.
The evolving needs of a data-driven society are demanding scalability and flexibility. We believe that the future of Al is distributed and enables real-time data processing at the edge, closer to where data is generated. We are building a future where a company's data and IP remains private and it's possible to bring large models directly to consumer hardware without removing information from the model.
What we're trying to build: What we're aiming to build is clients and SDKs to provide customers with access to our platform for AI training and inference. The span of projects includes infrastructure orchestration SDK, on-device ML inference SDK, end user clients for data collection and platform interactions. We already have an excellent team of data scientists and software engineers that have been working on the backend infrastructure.
What you'd specifically be working on: The candidate would join the team and contribute to current end user client projects. There will be opportunities to work in macOS and mobile targets depending on business needs.
Key Responsibilities
Requirements
Preferred Qualifications
We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:
Benefits:
webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.