Adopt AI do not just buy it

Every company is buying AI right now. Far fewer are actually adopting it. Pilots dazzle in a sandbox, then get stuck before production — knowledge stays scattered, and leadership never gets a number to point to. Silverberry closes that gap the way Palantir and the leading labs do it: with Forward Deployed Engineers embedded inside your team. Not a license and a login — a working solution, your team trained on it, and the impact verified. ### Ten principles, four levers Our engineers move latency, quality, cost, and reliability together — layer by layer with your team. 1. Serving architecture — the foundation everything else sits on. 2. Caching — cut cost and latency without hurting quality. 3. Model choice — right model for the job, not the loudest one. 4. Output reliability — structured, predictable responses. 5. Agents on task and on budget — no runaway loops. 6. Grounded answers — retrieval that cites its sources. 7. Evaluation — measure before you ship. 8. Observability — see what your system is actually doing. 9. Safety — guardrails your compliance team can defend. 10. The honest four-way tradeoff — knowing which lever to trade is the expertise you're hiring. See the full breakdown in the Silverberry AI Engineering Guide and the RAG pipeline deep dive. ### How an engagement runs Four clear moves: assess your use cases, architect the approach, deploy with your team, and verify against the baselines. Any engagement can be accelerated with SNAP Enterprise — your tools on top, your enterprise memory in the middle, self-hosted models at the base. Your data never leaves your walls. See how to roll it out without losing control. Anyone can sell you a model — we help you own the capability. Claim your free AI ROI Roadmap: thirty minutes, and it's yours to keep.