Otherthink is a non-neural preprocessing engine that runs on-premise. No data leaves the building.

Benchmark Results
95%
vs. RAG's 70%

Retrieval accuracy on legal documents, using fewer tokens. Tested with independently written questions.

Zero
forgetting

Models fine-tuned on our output learn new facts without losing old ones. Raw training goes backwards every time.

40%
lower loss

Pretraining on unseen legal text converges faster and reaches a better final result. Same data, same compute.

Six controlled experiments across legal case documents. We used handwritten questions the system had never seen. Otherthink ran on a CPU - no neural network, no cloud dependency.

Built for those who need to keep data in-house.

Raising a $1.5M pre-seed.

We'd love to show you what we've found.

Request a demo