Free Scout proves the layer. Fortress and Elite scale it privately.
The best enterprise AI sale does not start with a leap of faith. It starts with a visible relationship layer above authorised company data, then scales into the private runtime when the proof becomes operationally valuable.
Scout proves the relationship layer
Scout is the free open-source path. It can inject authorised items, preserve attribution paths, and store relationship evidence in PostgreSQL/pgvector for proof and lower-load use cases.
Fortress scales the private analysis
Fortress moves the high-load relationship memory into the proprietary Rust engine and LanceDB vector database, then sends governed JSON to the customer's own approved LLM.
Elite adds the on-prem model
Elite keeps the private runtime and adds KynticAI's open-source on-prem LLM model, so the explanation layer can run without third-party LLM token costs.
Why this matters to buyers
A buyer can start with Scout because it is free and open source. That makes the first conversation easier: prove the data items, paths, and relationship facts before asking the customer to believe a private runtime story.
When the question becomes high load, high performance, or high value, the architecture changes. Fortress and Elite use the Rust/LanceDB relationship engine for the serious comparison work: millions of relationship sets, similar paths, confidence, caveats, and top-example JSON for the approved model to explain.
The commercial point
Scout gets the buyer to the moment where the relationship layer is obvious. Fortress makes it private and fast for enterprise analysis. Elite removes the third-party LLM token-cost dependency by bringing the open-source model on prem.
That is the product ladder: prove it openly, scale it privately, explain it in language the business can act on.
Next step
Start open, then scale private when the proof lands.
Scout gives buyers a free way to see the relationship layer. Fortress and Elite show the private Rust/LanceDB path when performance, sovereignty, and model cost matter.