Bifrost is an AI-powered, synthetic data generation platform for development teams to create high-fidelity, 3D synthetic environment datasets in just a couple of hours–significantly faster and cheaper than traditional methods.
Problem
- Unreliable training data: AI development often suffers from insufficient, biased, or narrow datasets, which can impede the performance of AI models.
- Inefficient data collection: Data collection and preparation are incredibly inefficient, consuming over 80% of resources in most AI and machine learning projects.
- Bottlenecks in data pipeline: This inefficiency underscores the urgent need for innovative solutions to optimise the data pipeline and accelerate AI progress.
Solution
- Stardust platform: Bifrost’s Stardust platform generates vast quantities of high-quality synthetic data for AI training, overcoming the limitations of existing data collection methods.
- Versatile synthetic data: The data produced is highly versatile, allowing for experimentation with diverse scenarios, edge cases, and anomalies that are impractical or impossible to obtain from real-world sources.
- Enhanced AI training: By significantly expanding the training data pool, Bifrost enables AI models in maritime, aerospace, and defence applications to learn more comprehensively, leading to enhanced accuracy, robustness, and adaptability.
Media Links
Type
Aerospace and Military & Defense
Focus Area
Deep Tech, Enterprise, and Sustainability
Capital Raised (US$)
6M to 20M
Operational HQ
Singapore
SECTOR
AI, Enterprise Data & Software, and Training Platform
status
Current
founders
Charles Wong, Aravind Kandiah
partnered
2021
exited
You may be interested in...
