Harbinger AI

A full-spectrum market intelligence platform that autonomously monitors competitive signals across six data dimensions, delivering proactive intelligence before organizations know to search for it.

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Business Domain
Market IntelligenceCompetitive AI
Service
Custom AI DevelopmentConversational AIData Pipelines
Technologies
GPT-4oWebSocketsMicrosoft Teams Bot
01 · Overview

Business Overview

BWN, a UK-based organization, had built a serious intelligence operation. The team had $45M in data, but the motion behind it was still manual. Analysts spent over 70% of their time gathering data by hand from hundreds of disparate sources, with no unified system to aggregate, filter, or prioritize the signals coming in.

The intelligence team was overwhelmed, and the most valuable work, actually reading the market and advising the business, kept getting pushed aside by the collection grind. BWN brought in Xpiderz to change that.

02 · Challenge

Challenge

The deeper problem was fragility. When analysts left, critical context walked out the door with them. Intelligence lived in individual heads and one-time reports, and the whole pipeline was founder-dependent, so it only moved as fast as the people at the top could push it.

BWN needed a platform that could automate signal collection at scale, filter noise intelligently, and preserve intelligence as a compounding organizational asset rather than a one-time report.

03 · Solution

Solution

We built Harbinger AI, a full-spectrum market intelligence platform that autonomously monitors competitive signals across six data dimensions: patents, product pages, news, workforce signals, regulatory filings, and custom sources. Everything lands in one unified, queryable intelligence feed.

The build ran 14 weeks end to end, with a live demo of the working product every week, so BWN always saw what had shipped and what was coming next.

Harbinger AI platform interface

Harbinger AI is built from five core capabilities:

  1. Multi-Source Collection Engine

    Always-on monitoring across six data dimensions: patents, product pages, news, workforce signals, regulatory filings, and custom sources, aggregated into a unified intelligence feed.

  2. AI Signal Detection

    A two-layer GPT-4o pipeline that classifies every signal as CRITICAL, HIGH, MEDIUM, or LOW and filters out the noise before it ever reaches an analyst.

  3. Conversational AI Assistant

    10+ specialized capabilities for on-demand intelligence queries, with real-time WebSocket feeds so answers arrive as the data does.

  4. Multi-Channel Delivery

    A Microsoft Teams bot, email alerts, WebSocket feeds, and automated weekly briefings synthesized by AI and delivered as PDF.

  5. Admin Dashboard

    Cost tracking, company management, and a continuous feedback loop so the system compounds in accuracy over time.

04 · Intelligence

Signal Classification

At the center of the platform sits a two-layer GPT-4o pipeline. It classifies every incoming signal as CRITICAL, HIGH, MEDIUM, or LOW and filters noise intelligently, so analysts only ever see what deserves their attention.

The admin dashboard closes the loop. Analyst feedback flows back into the system through a continuous feedback loop, so classification accuracy compounds over time instead of degrading, and built-in cost tracking keeps the whole operation transparent.

Measured Results

The numbers speak

What a fourteen week build delivered for BWN, from unified data to always-on intelligence.

6 Data Dimensions Unified Patents, product pages, news, workforce signals, regulatory filings, and custom sources in one queryable platform.
70% Analyst Time Reclaimed Manual gathering across hundreds of sources replaced by automated collection, filtering, and prioritization.
14wk Production Deployment Full platform delivered with weekly live demos. BWN signed a monthly retainer after launch.
10+ Specialized AI Capabilities On-demand intelligence queries, signal classification, and automated weekly briefings delivered as PDF.
05 · Outcome

Outcome

BWN's competitive intelligence went from reactive research to always-on AI:

  • Proactive intelligence. Harbinger monitors all six data dimensions continuously and surfaces signals before the organization knows to search for them.
  • Institutional memory. Individual analyst knowledge became permanent institutional intelligence that no longer walks out the door when someone leaves.
  • A compounding asset. BWN signed a post-launch monthly retainer, recognizing that Harbinger AI compounds in value as signals accumulate.
06 · Next Steps

Next Steps

The engagement did not end at launch. BWN moved onto a monthly retainer, and the platform's feedback loop keeps working: every analyst correction flows back into the system, so signal classification keeps getting more accurate as the archive of signals grows.

Team
Project ManagerAI EngineerBackend DeveloperFrontend Developer
Tech Stack
GPT-4oWebSocketsMicrosoft Teams Bot

Working with the team was unlike any vendor relationship we've had. Every week we saw the product live, understood what was coming next. They identified fundamental gaps we'd been blind to for years. Harbinger AI gave us genuine competitive advantage.

BWN Leadership

United Kingdom

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