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Case StudiesMarket Intelligence

Custom Competitive Intelligence Platform, Built in 14 Weeks

Full-Spectrum Market Intelligence Platform Built for BWN in 14 Weeks

Client

Harbinger

Headquarters

United Kingdom

Timeline

14 weeks

Technology

AI AGENTS

Custom Competitive Intelligence Platform case study by EdgeFirm

Reactive to proactive competitive awareness

6

intelligence dimensions in one platform

14 weeks

from kickoff to production

Weekly AI-synthesized briefings delivered automatically

At a glance

The challenge

Skilled analysts spending much of their time on data gathering, monitoring hundreds of sources manually with no unified view

The solution

Autonomous intelligence engine monitoring 6 data dimensions (patents, products, news, personnel, filings, custom signals) with AI-powered analysis and multi-channel delivery

The results

  • Reactive to proactive competitive awareness
  • 6 intelligence dimensions in one platform
  • 14 weeks from kickoff to production
  • Weekly AI-synthesized briefings delivered automatically
The problem

A Custom Competitive Intelligence Platform, Shipped in 14 Weeks

We shipped BWN a custom competitive intelligence platform in 14 weeks. BWN operates in a competitive market where a single missed signal (a competitor's patent filing, a key executive departure, a new product launch) can mean the difference between leading the market and reacting to it. Their intelligence team was drowning: hundreds of sources to monitor manually, no unified view, delayed awareness, analyst burnout, and no institutional memory when team members left.

Harbinger AI is EdgeFirm's answer: a full-spectrum market intelligence platform that continuously monitors, detects, analyses, and alerts on competitive signals across the entire business market. Named after the bearer of news, Harbinger AI is deliberately proactive: it hunts for signals, understands their significance, and delivers them ranked by impact, before you even know to look.

Scope of work

7 capabilities carried the build

Design and build a market intelligence platform capable of autonomously monitoring, detecting, and delivering competitive signals from six distinct data dimensions. The system needed to remove analyst busywork and replace scattered spreadsheets and email threads with a single, AI-native intelligence layer that any team member could query through natural language.

01

Multi-source collection engine across patents, product pages, news, workforce signals, company filings, and custom signal types

02

AI-powered signal detection with CRITICAL/HIGH/MEDIUM/LOW classification and intelligent noise filtering

03

Multi-channel alert delivery

Microsoft Teams rich cards, email, in-app feed

04

Conversational AI assistant with access to full intelligence database and 10+ specialized capabilities

05

Automated weekly intelligence briefings with AI-synthesized narrative analysis (PDF + Teams/Email delivery)

06

Admin dashboard with real-time analytics, company management, and cost tracking

07

Feedback loop for continuous model refinement (thumbs up/down with reasons)

Technology

The stack behind it

OpenAI, LangChain, FastAPI, Next.js, PostgreSQL, Teams/Email integration

OpenAIOpenAI
LangChainLangChain
PostgreSQLPostgreSQL
Microsoft TeamsMicrosoft Teams

AI Layer

OpenAI gpt-4o for signal analysis and conversational intelligence. LangChain for multi-step reasoning pipelines

Data Collection

Custom crawlers and integrations for patents, product pages, news APIs, LinkedIn signals, and company filings

Backend

FastAPI services with PostgreSQL for structured intelligence storage and query

Frontend

Next.js (Node.js) admin dashboard with real-time analytics, company management, and reporting

Alert Delivery

Microsoft Teams Bot Framework for rich formatted cards. SMTP for email delivery. WebSocket for in-app alerts

Reporting

Automated PDF generation for weekly briefings. Multi-dimensional filtering and Excel export

How we built it

Our development process

Multi-Source Intelligence Collection

Six distinct data dimensions monitored autonomously: Patent Monitoring with AI-powered analysis, Product Intelligence tracking competitor page changes and pricing, Company & Workforce Signals detecting executive movements and headcount shifts, News & Media Intelligence with intelligent deduplication, Organizational Changes including M&A and partnership announcements, and fully configurable Custom Signal Types expandable without code changes.

AI-Powered Signal Detection & Analysis

Every signal passes through a two-layer AI pipeline. The first layer classifies changes and events by business significance (CRITICAL to LOW) with detailed reasoning. A secondary filtering layer enforces daily alert quotas to prevent analyst fatigue, scores relevance against BWN's defined business context, and logs rejections for continuous refinement. Admins update their business context directly in the platform, no developer involvement.

“Working with EdgeFirm was unlike any vendor relationship we've had. Every week we saw the product live, understood what was coming next, and had a direct line to their founders. Harbinger AI gave us a genuine competitive advantage. We now detect market shifts in real time that used to take us weeks to piece together.”
After launch

What changed after launch

Reactive to Proactive

BWN now detects competitive signals as they happen, including patent filings, product changes, and executive departures. Before, these surfaced weeks later, after competitors had already moved.

Scattered to Unified

Patents, product intelligence, news, personnel changes, all in one platform, searchable through natural language. Six data dimensions replaced by a single query.

Individual Knowledge to Institutional Intelligence

When analysts leave, their knowledge stays. Every signal, article, and patent ever tracked is part of the collective intelligence any analyst can query.

Information Overload to Signal Clarity

AI filtering surfaces what matters. Daily alert quotas prevent fatigue. Noise stays buried. Analysts spend their time on strategy, not monitoring.

14 Weeks to Production

Weekly live demos, clear communication, no surprises. BWN saw the product in motion every step of the way, from kickoff to full production deployment.

Before Harbinger AI, BWN's competitive intelligence was manual, fragmented, and always one step behind. After Harbinger AI: an autonomous intelligence engine monitoring six data dimensions across their entire competitive market, detecting and analysing signals with AI, delivering prioritized alerts in real time, and giving every analyst the power to query the organization's collective intelligence through natural conversation. BWN chose to continue with a monthly retainer. The system compounds in value with every signal tracked.

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