Findola Platform

Findola is the surface. Five GPU-accelerated products make it work.

The search bar is what you see. Underneath sits an owned, accelerated stack: a permission-aware knowledge graph, a sub-2s retrieval engine, an audited agent fleet, a sovereign on-prem deployment, and a flywheel that turns usage into better models. One ecosystem, not five tools.

Why accelerated compute

The hard parts are GPU-bound, and we own them.

Findola is not a wrapper around a third-party API. Entity resolution, billion-vector retrieval, multi-agent inference, edge deployment, and continuous fine-tuning all run on NVIDIA hardware because they cannot hit the latency or the cost any other way.

Agentic AI

Planner, executor, and verifier agents on NeMo and NIM take real, permissioned actions with an independent verifier and an immutable audit.

Sovereign & edge AI

The full stack runs air-gapped on Jetson and IGX Orin with Holoscan, so regulated buyers get cited answers without data leaving the network.

Compounding data flywheel

Every run becomes labeled data. Lumind fine-tunes owned models on DGX, and quality compounds month over month.

See the platform on your own data.

Connect three apps and Findola will answer your first question in under ten minutes.