Third Brain Labs
Third Brain Labs provides a proprietary intelligence platform that turns an organization's domain expertise into continuously improving AI models through in-context continual learning. The system captures real-time training signals directly from existing workflows, eliminating the need for external data vendors or extensive data-engineering labor. Users retain full ownership of their data, model weights, and intellectual property, avoiding reliance on rented blackbox APIs.
- Artificial Intelligence
- Enterprise Software
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Organizations accumulate valuable proprietary knowledge embedded in workflows, but standard AI systems cannot continuously learn from this domain expertise without costly data preparation and external data dependencies. Rented blackbox APIs expose companies to data-leakage risks, vendor lock-in, and an inability to own or monetize the models built on their proprietary information.
Solution
Proprietary Intelligence provides a platform that turns proprietary knowledge into real-world execution through in-context continual learning. The system captures real-time, high-quality training signals from domain expertise directly within existing workflows, enabling continuous model improvement with every interaction. It includes a data and ontology platform that is training-ready from day one, eliminating the need for extensive data-engineering labor or risky external data vendors. Users maintain total control over their data, weights, and intellectual property, and can reap investment and usage insights as proprietary weights rather than renting blackbox APIs.
Target Audience
Primary customers are enterprises and organizations with substantial proprietary knowledge assets who need AI models trained on their own domain expertise while maintaining full ownership and control over their data and models.
Features
- In-context continual learning engine that captures real-time training signals from domain expertise directly in workflows
- Continuous model improvement loop—the system improves with every interaction, serving as a system of record for model evolution
- Data and ontology platform that is training-ready from day one, removing dependencies on external data vendors
- Full ownership of data, weights, and IP, designed to eliminate reliance on rented blackbox APIs
- Capability to reap investment and usage insights as proprietary weights, enabling monetization of model assets