tile

Our goal is to make agents solving real-world problems safe and reliable. Founded by AI/ML engineers and researchers from Meta, Databricks, NVIDIA, and OpenAI.

[tile @tilelabs]

Can agents learn from past successes — without fine-tuning?

In our latest blog at Tile Labs, we test a simple idea: giving agents examples of successful past runs before they act. No weight updates. No retraining. Just better context.

What we found:
• More selective agents → fewer errors
• Smaller models improve the most
• Frontier models gain better calibration

Read more: https://t.co/7IvWA4f6AU

[tile @tilelabs]

🚀 Our first blog is live: Benchmarking AI Agents using RL Environments

We evaluate frontier models and uncover a key insight — the gap between completing a workflow and completing it correctly is larger than you think.

Read more: https://t.co/Gh23BjKNjZ

[tile @tilelabs]

We’re excited to introduce Tile Labs.

A research lab focused on advancing model intelligence — exploring how AI systems become more capable, adaptive, and autonomous.

More to come soon.

[email protected]