Content first. Business automation next.
Vantemio is developing a modular AI engine for content, marketing and digital services. Its first module is video production: from the brief and source materials to editing, voice and result review. A connected workflow aims to reduce manual assembly and the cost of separate tools.
We start with a problem the founder knows from running YouTube channels. The goal is to reach initial content and integration orders sooner and put the revenue back into the wider engine. Investment and grants can accelerate this work: connect existing components, evaluate quality and economics, and prepare external pilots.
Current stage
Founder and developer Vitalii Pavlichuk leads the project. The main engine is private. The Base/Boson module and selected infrastructure excerpts are public. Existing Studio components and recorded local AI executions provide a starting point. Work continues on complete-workflow reliability and preparation of an external prototype.
The published stage description reports no live customer product or revenue. This revision does not claim closed investments, awarded grants or an independent audit.
What we aim to validate
The engineering hypothesis is that shared task history, bounded execution and result validation can make complex AI workflows more manageable. The product hypothesis is that this benefits teams producing video regularly. The economic hypothesis is that suitable local/cloud allocation can improve cost per accepted result.
Each requires separate evidence. Pilots must measure completed tasks, quality, human intervention and costs. Model-call counts and automated-test totals do not replace these outcomes.
Use of support
| Area | Specific work | Reviewable result |
|---|---|---|
| Integration | Connect existing stages and close accounting gaps | Traceable request-to-accepted-result scenario |
| Reliability | Exercise errors, interruptions and authority transfer | Recovery without repeating completed actions |
| Quality | Improve scene/audio review and repairs | Methodology, rejection causes and revision history |
| Pilots | Prepare access, support and measurement | Participant report and cost per accepted result |
| Commerce | Connect result versions to test orders | Reproducible Base Sepolia demonstration |
| Public materials | Documentation, examples and selected source | A package suitable for external technical review |
Participation
We are considering investment, development grants, infrastructure credits and technical pilots. Funding size and terms depend on a defined work scope. This revision establishes no valuation, round size, budget percentages or return promises.
Potential delivery models include hosted service, customer-owned deployment and hybrid operation. Pricing and commercial design should follow actual pilot costs and demand.
Grant scope
Possible bounded deliverables include documented task recovery, a public integration example, quality and cost methodology, and a verifiable test-delivery scenario. Each application needs its own scope, budget, schedule and reporting criteria.
Cloudflare is being considered for website hosting and possible startup-program support. Infrastructure credits are distinct from cash grants and do not establish application approval or partnership. Check eligibility and terms against the official program when applying.
Due diligence
Begin with the whitepaper, technical documentation, roadmap and public GitHub. Additional evidence and agreed private access can be discussed separately.
The next funding discussion requires a costed work plan, actual current spending, legal-entity information and an appropriate funding structure. The website does not replace those inputs with assumed numbers.
Contact: Vantemio Support — [email protected]. Include your organization, area of interest and preferred discussion format.
Updated strategy: content funds the wider engine
Vantemio develops modular automation. Studio is the initial use case with a concrete deliverable and a potentially short path to first orders. The aim is to reinvest content and implementation revenue into core development, reducing dependence on fundraising. This is a strategy, not a claim of existing revenue or proven profitability.
Next directions include brand context, API publishing, analytics, CRM and advertising, followed by Market for independent providers and cloud-service orders, and autonomous media. Cloud, customer-hosted and hybrid models appear in packages and delivery. Expansion priority depends on demand, accepted-result cost and reuse of the core.