Engineering decisions are bottlenecked on depth, not speed. General-purpose LLMs give fast first-draft answers that cite papers that don’t exist, drop constraints, and never question their own output. The fix isn’t larger models or longer context — it’s architecture: multi-agent structured reasoning where each pass builds on the last, and a dedicated anti-hallucination agent re-verifies every claim against external sources before anything reaches you.

Sparlo concentrates 1MM tokens of frontier reasoning on a single problem for 60 minutes. Eight specialist agents decompose the problem to functional primitives, research across 40+ industries, surface cross-domain transfers, generate and rank candidates, stress-test every recommendation, then fact-check the entire output. Thinks like a senior engineer with access to every adjacent field and no ego about being wrong.

Handles the full decision lifecycle: stress-test a decision before committing, diagnose a failure to root mechanism, find solutions from domains nobody has connected to yours, source components against hard constraints. Designed for problems governed by physics and chemistry where constraints are real and quantified. Not for software, not for strategy, not for problems where the bottleneck is execution rather than insight.