AI knowledge intelligence workspace
Grounded analysis.
Deterministic retrieval.
StratumSignal is a multi-agent research platform for the broader AI knowledge domain, starting with AI Gaming & Development and AI Hardware & Infrastructure as its first navigable main categories. The default experience follows AI Gaming & Development and its configured sub-categories.
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Three-agent pipeline
Agent A retrieves deterministically from Brave / Bing / Tavily / Serper. Agent B runs grounded analysis via Google. Agent C supervises routing and confidence scoring — no cross-contamination of roles.
Deep Research
Async multi-step research jobs backed by Anthropic with adaptive extended thinking. Jobs persist in SQLite across restarts and surface automatically when complete.
Grounded overviews & Deep Dive
Per-card Deep Dive analysis and sub-category overview snapshots, both grounded against live sources with citation tracking.
Deterministic source registry
Search results are keyed by session and ref number in SQLite before generation starts — Ref: N annotations in cards always resolve to stable URLs.
Date-range retrieval
Sources are scoped to a configurable date window with automatic fallback and stale-title filtering to suppress prior-year articles.
Local-first persistence
Feed cache, notes, favorites, hidden cards, Deep Dive history, and Deep Research history all live in IndexedDB — nothing leaves the browser except API calls you trigger.
Next.js 14React 18TypeScriptTailwind CSSVercel AI SDKSQLiteIndexedDBGoogle · OpenAI · Anthropic · OpenRouter
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StratumSignal is currently in private beta. Leave your details and I'll be in touch.