✗News is noisy and reactive
✗Trends don't appear in a single article
✗Weak signals only emerge through repetition over time
✗Traditional RAG systems lack temporal memory
Continuous Signal Ingestion — RSS + research + infrastructure feeds updated daily
Qdrant Long-Term Memory — Persistent storage of signals and evolving clusters
Emergence Detection — Detects rapid growth patterns before mainstream adoption
Agentic Evaluation Layer — Critic + Controller agents ensure grounded decisions
Comprehensive trend intelligence features for early signal detection
Visual interface to explore emerging trend clusters, track signal evolution over time, and identify breakthrough patterns before mainstream adoption.
RSS feeds, research papers, and infrastructure updates ingested and processed daily to capture the earliest weak signals across emerging tech.
Quantitative evaluation of cluster quality and signal validity, ensuring only credible and coherent trends surface to decision-makers.
Find signals by meaning or exact keywords, with temporal filtering to surface trends at the right stage of emergence.
Clear, grounded reasoning for every trend cluster with source citations, enabling teams to understand why signals are emerging now.
Pan-IIT Hackathon 2024
"SignalWeave represents breakthrough work in temporal weak-signal detection. The integration of multi-agent systems with vector memory is genuinely innovative."
Competition Judges
Pan-IIT Hackathon, Convolve 4.0
Selected from 10,000+ participants across India and invited to IIT Madras for the on-campus finale. Recognized for innovative approach to emerging tech intelligence.
Achievement
Top Finalist, Multi-Agent Systems Track
"The ability to detect emerging signals before they become mainstream is invaluable for strategy teams. SignalWeave delivers on that promise with real intelligence."
Innovation Team
Tech Strategy & Research
Strategic advantages for teams seeking competitive intelligence
Detect trends before mainstream adoption
Qdrant vector memory tracks signal evolution
Only credible, validated trends surface
Daily updated signal feeds
Starter
billed monthly
Perfect for small businesses starting their AI journey
Professional
billed monthly
Ideal for growing businesses ready to scale with AI
Enterprise
billed monthly
Complete AI transformation for large organizations
Three core components powering weak-signal detection
Daily feeds from RSS, research, and infrastructure sources aggregate global tech signals into raw signal streams
Qdrant stores signals persistently and discovers emerging trend clusters through temporal pattern analysis
Multi-agent system with critic & controller agents validates coherence and surfaces only credible trends