Signal
An intelligence platform that uses AI to turn raw operational data into actionable business signals.
Reference and concept systems built internally. Figures describe system scope, not client results.
- Industry
- B2B SaaS
- Discipline
- Product / Data
- Status
- Internal prototype
CH.01Overview
The system at a glance
- 12
- signal models
- Streaming
- ingestion
- Ranked
- by impact
CH.02Architecture
What the monitor watches
Expected behaviour is learned per metric, so a deviation can be explained rather than merely flagged. Sustained movement is separated from noise before anyone is told.
CH.03Problem
Where it was breaking
This prototype explores a common analytics problem: important changes buried inside large event streams and noticed only after they affect performance.
CH.04System
Built for real operation
Signal is designed to connect product, revenue and operational sources, monitor the combined system and route ranked insights with evidence and a proposed action.
CH.05Approach
Design the decision, then automate it
The scenario replaces passive reporting with an event-based intelligence model designed to learn operational baselines and explain material deviations in business language.
CH.06Results
What this build demonstrates
The prototype demonstrates a possible shift from scheduled dashboard review to explained signals routed to a named owner while a change may still be actionable.
Technology
- Next.js
- TypeScript
- Python
- Gemini
- ClickHouse
- Vercel
Next / 004AI / RAG / Automation