Tomar turns knowledge into video — for education, enterprise training, and science communication. Deterministic by construction. Auditable by design. Priced from $0.10 per 10 seconds.
Connect your data source. XBRL financials, PPTX training decks, meeting recordings, simulation outputs, clinical guidelines, legal documents. Any structured knowledge.
Tomar's code-based engine compiles structured knowledge into a VideoSpec — a deterministic instruction set where every visual element maps back to a source data point.
MP4 video with every frame traceable to source data. SRT subtitles, data binding report, parametric variants. Every number, diagram, formula — auditable by construction.
Clinical training video must be signed off by the CMO. A hospital cannot accept probabilistic generation when every surgical walkthrough carries legal weight. Tomar's deterministic output means every anatomical frame is sourced, not generated.
An earnings report visualization where one figure drifts is not a bad output — it is a Regulation FD issue. Tomar binds each rendered number directly to XBRL source data, making compliance verification automatic.
Safety training, compliance curriculum, and institutional education share one requirement: every procedure and every claim must be reproducible on demand. Tomar renders from the same source every time — no drift, no probabilistic variance.
Enterprise-grade infrastructure, purpose-built for deterministic and auditable video at scale.
Tomar's core market is knowledge video: education, enterprise training, and science communication — where content must be accurate, repeatable, and verifiable. The same engine extends to meetings, finance, and legal, where one wrong frame is a liability.
Curriculum, enterprise L&D, and science-popularization explainers — ideal for educators and individual creators making accurate STEM content. Every concept accurate, every diagram correct by construction.
DFT outputs, crystal structures, SEM data, and experiment visualization — rendered to the physical constraints of the science, not diffusion aesthetics.
60-minute recordings compile to structured 3-minute decision-review video — speaker separation, decision extraction, action items, clip montage. Designed for conferencing-platform integration.
XBRL-driven earnings reports, P&L waterfalls, and investor briefings — every figure bound to XBRL source. SEC- and FINRA-aligned.
Contract-clause visualization, regulatory comms, red-line comparison, and compliance training — with word-for-word completeness verification.
Tomar is priced from $0.10 per 10 seconds — below every diffusion platform on the market. Because code-based rendering uses a fraction of the compute that diffusion inference requires, our production cost runs as low as $0.01 per 10 seconds — giving Tomar the strongest unit economics in the category.
Bill Wu co-founded XStudy AI Labs and leads the company's strategic direction, enterprise partnerships, and go-to-market. He is recognized on the Forbes 100 Most Influential Chinese list and as an Asia-Pacific Leader Under 30. Previously Editor-in-Chief of the Silicon Valley Business Review and Product Manager at Waterdrop Inc. (NYSE: WDH), Bill is driving Tomar's deployment across regulated enterprise verticals and managing key enterprise and platform partnerships.
Jack Feng serves as President & COO, leading operations and enterprise execution. A Founding Engineer at WebEx, he architected the backend systems of one of the world's first enterprise video conferencing platforms — pioneering large-scale real-time video delivery. He went on to found Cenwave as Chairman & CEO (acquired by Huawei), then served as VP of Huawei's Unified Communications & Collaboration product line, leading video and collaboration products for enterprises worldwide. His three decades building and scaling video infrastructure inform Tomar's rendering architecture, enterprise go-to-market, and platform strategy across every vertical. Jack holds a B.S. from Tsinghua University.
Sean Bai co-founded XStudy AI Labs and drives the company's AI research and development across the full technical stack. He leads the architecture of Tomar's VideoSpec engine, multi-pipeline rendering infrastructure, and enterprise AI integrations. Previously Software Director at Turing AI ($500M valuation, Hillhouse Capital-backed) and Software Engineer at Oracle. Sean holds an M.S. from Northwestern University.
David Williams brings over 20 years leading brand management, omnichannel marketing, and marketing operations across global CPG and B2B organizations. As Senior Director of Omnichannel Marketing at GOJO Industries — maker of PURELL® — he drove brand growth across owned, paid, and ecommerce channels and led account-based marketing programs delivering 8–10× ROAS. He previously managed an $800M+ brand portfolio and a $245M P&L at S.C. Johnson. He holds an MBA from Cornell University and is a CFA charterholder.
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