
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)
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.”
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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.
Role Overview: As a Staff R&D AI Engineer, you will lead the development of cutting-edge AI systems that bridge computer vision, natural language understanding, and action learning. You'll architect and implement Vision-Language-Action (VLA) models, advance reinforcement learning applications, and push the boundaries of multimodal AI integration. This role combines deep expertise in both computer vision and large language models with hands-on experience in reinforcement learning to create intelligent systems that can understand, reason about, and interact with complex environments. You'll drive research initiatives, mentor technical teams, and translate breakthrough AI research into practical applications across diverse domains.
Key Responsibilities:
Qualifications & Skills:
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, 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.