Deltan Labs
Deltan Labs provides a Bayesian machine learning platform that replaces manual trial-and-error in industrial R&D and production with continuous, data-efficient optimization. The platform balances multiple objectives like strength, cost, and environmental impact while offering real-time analysis and visual data representations. It is designed for users of all technical backgrounds, scaling from laboratory research to industrial production.
- Manufacturing / Industry 4.0
- Artificial Intelligence
- New Materials
- Software Only
- Industrial Automation
Funding
Founders
Founder details are not available yet.
Product
Problem
Industrial material and production process optimization traditionally relies on manual trial-and-error and costly external consultants, making efficient optimization inaccessible to many manufacturers. This approach is time-consuming, expensive, and often fails to balance competing objectives such as strength, cost, and environmental impact.
Solution
Deltan Labs provides a Bayesian machine learning platform that transforms industrial R&D and production by replacing manual trial-and-error with continuous, data-efficient optimization. The platform uses advanced Bayesian algorithms to explore complex variable interactions, identify optimal measurement points and extreme values, and provide real-time analysis and feedback. Users can define specific material property targets and customize parameters, while the system balances multiple goals simultaneously. The platform is designed for users of all technical backgrounds, with an intuitive interface and visual data representations that support quick, informed decision-making.
Target Audience
Primary customers are manufacturers and industrial R&D teams of all sizes, from small startups to large manufacturing companies, who need to optimize material properties and production processes across diverse industry applications.
Features
- Advanced Bayesian optimization algorithms that efficiently explore complex variable interactions and identify optimal measurement points
- Multi-objective optimization balancing targets such as strength, cost, and environmental impact
- Real-time analysis and feedback for continuous improvement and efficient decision-making
- Customizable parameters tailored to specific needs and constraints
- Visual data representation for clear understanding of complex data
- Scalable from laboratory research to industrial production, including optimization of recycled and side-stream materials