Overview
Live Intelligence Feeds extend Condelo's ingestion beyond manually uploaded files to continuous, structured intelligence streams. RSS feeds, webhooks, API polling, and email forwarding bring real-time data into the same pipeline as documents — chunked, embedded, metadata-extracted, and signal-evaluated.
This transforms Condelo from a document analysis tool into a continuous intelligence platform.
The Problem
- Intelligence is not static — markets, competitors, regulations, and technologies change continuously
- Manual document upload creates an inherent lag between events and organizational awareness
- Teams maintain separate tools for monitoring (Google Alerts, social listening, SEC filings) disconnected from their knowledge base
- Time-sensitive intelligence (competitor launches, regulatory changes, market shifts) loses value rapidly
- No unified pipeline exists to process both batch documents and streaming data with the same analytical depth
How It Works
- Source configuration — Users set up live sources with URL/webhook endpoint, polling frequency, and optional content filters
- Feed types supported:
- RSS/Atom — Industry publications, competitor blogs, regulatory agency updates
- Webhook — Social media monitoring tools, CRM events, internal alerting systems
- API Polling — SEC EDGAR, patent databases (USPTO, EPO), government registries, job posting APIs
- Email Forwarding — Forward newsletters and alerts to a Condelo inbox for processing
- Unified pipeline — Each new item flows through: conversion → chunking → embedding → metadata extraction
- Time-decay weighting — Recent items score higher in retrieval with configurable half-life
- Deduplication — Content hashing prevents duplicate processing
- Signal evaluation — Each new item is checked against all active signal rules immediately upon ingestion
User Story
A competitive intelligence team configures live feeds: SEC EDGAR filings for 5 competitor tickers, RSS feeds from 3 industry publications, a webhook from their social media monitoring tool, and weekly API polling of patent filings. Incoming items flow through the same pipeline as documents. When a competitor files an 8-K reporting a major acquisition, the system ingests it within minutes, assigns it to the relevant feed, fires a signal to the CI team, and updates the living battlecard. The morning brief includes: "Overnight: 3 new filings, 7 industry articles, 1 patent application relevant to your monitoring rules."
Complexity & Timeline
| Aspect | Detail |
|---|---|
| Complexity | Complex |
| Estimated Build | 6–8 weeks |
| Platform Dependencies | Ingestion pipeline, Feeds, Signals, Agents |
| New Infrastructure | Source connector framework, webhook receiver, polling scheduler, email ingestion, time-decay ranking |
Target Clients
- Personas: Competitive Intelligence Directors, Market Research Leads, Risk Analysts, Strategy Teams
- Verticals: Financial Services, Consulting, Defense/Intelligence, Pharmaceutical, Technology
- Pitch: "Your knowledge base is alive — monitoring markets, competitors, and regulations in real time."
Revenue Potential
Transforms the market positioning from "document analysis" to "continuous intelligence platform" — opening the OSINT and market intelligence segments with entirely different buyer personas and higher price points. Supports usage-based pricing (per source, per item processed). Dramatically enhances the value of every other feature by keeping the corpus current. Competitive landscape: dedicated CI platforms (Recorded Future, Dataminr) charge $100K+/year but don't integrate with organizational documents.
Feature Synergies
- Living Battlecard — Live feeds keep battlecards current automatically, eliminating manual refresh cycles
- Blindspot Detector — Compare corpus coverage against live industry trends to validate gap analysis
- Compliance Mapper — Regulatory feed monitoring detects framework changes that affect compliance status
Risks & Open Questions
- Source reliability varies — need robust error handling for flaky feeds and rate-limited APIs
- Volume management: high-frequency sources could overwhelm the processing pipeline without careful throttling
- Cost control: embedding and metadata extraction per item adds up at scale — need clear per-item cost model
- Legal considerations around scraping and data usage for certain source types