Filip Dvorak
CEO
Filuta AI
Provides a Composite AI platform that combines symbolic and continuous modeling to automate complex processes across industries like gaming, logistics, and manufacturing. By synthesizing first-order logic models from historical data, it enables non-developers to deploy production-grade automation solutions up to 10 times faster than traditional methods. This approach reduces reliance on opaque, costly AI systems while improving efficiency and accessibility for organizations.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Software Only
Updated 23 months ago
Funding
Raised to date
$2.5MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Organizations face increasingly complex automation challenges involving vast and diverse datasets, requiring specialized AI expertise and often resulting in costly, non-transparent solutions. Traditional AI deployment methods can be slow and require extensive development resources.
Solution
Filuta AI offers a Composite AI platform that simplifies intelligent automation by combining symbolic and continuous modeling approaches. The platform synthesizes first-order logic models from historical data, enabling non-developers to deploy production-grade automation solutions up to 10 times faster than traditional methods. By augmenting human experts and breaking down complex problems into actionable hierarchies, Filuta AI reduces reliance on opaque AI systems while improving efficiency and accessibility. The platform's self-supervised learning and automatic symbolic domain synthesis facilitate rapid deployment of automated services. Filuta AI's industry-agnostic approach allows for flexible automation optimization across various sectors.
Target Audience
Filuta AI targets organizations across industries such as gaming, logistics, manufacturing, government, and education seeking to automate complex processes and improve efficiency.
Features
- Composite AI engine combining symbolic and continuous modeling for robust automation
- Automatic synthesis of first-order logic models from historical data
- Self-supervised learning for rapid adaptation to new environments
- Industry-agnostic design for flexible deployment across sectors
- Pre-built solutions for gaming QA, vendor compliance, logistics, and manufacturing
- Planning Agents for automated game testing on Unreal Engine and Unity
- Tools for automated QA/testing, feature detection, and player experience optimization
- Capabilities for project planning, scheduling optimization, and resource management