• Menu
  • Skip to right header navigation
  • Skip to main content
  • Skip to primary sidebar

DigiBanker

Bringing you cutting-edge new technologies and disruptive financial innovations.

  • Home
  • Pricing
  • Features
    • Overview Of Features
    • Search
    • Favorites
  • Share!
  • Log In
  • Home
  • Pricing
  • Features
    • Overview Of Features
    • Search
    • Favorites
  • Share!
  • Log In

Contify’s agentic AI delivers trusted, decision-ready market and competitor insights by continuously analyzing unstructured updates from millions of verified external and internal sources and connecting information through Knowledge Graph

July 8, 2025 //  by Finnovate

 AI-native Market and Competitive Intelligence (M&CI) platform Contify, launched Athena, its proprietary Agentic AI insights engine. Athena eliminates manual M&CI work and delivers trusted, decision-ready market and competitor insights, with enterprise-grade accuracy. It enables organizations to make faster, more confident decisions and compete with greater agility. Unlike generic AI assistants like ChatGPT, Gemini, or Perplexity, which often hallucinate, respond from unverified web content, and even fabricate sources, making them unsuitable for enterprise use, Athena is built on a foundation of data integrity coupled with strict AI-usage guardrails. It continuously analyzes unstructured updates from millions of verified external and internal sources. It synthesizes what matters and connects information through a proprietary Knowledge Graph, which stores the organization’s context, to produce reliable insights. Mohit Bhakuni, CEO of Contify says “Intelligence professionals are often stretched thin, grappling with overwhelming data, frequent stakeholder requests, and generic AI assistant limitations. Athena transforms this by automating grunt work and providing rich, verified insights. It frees them to focus on strategic priorities and become trusted advisors their organizations rely on.”

Read Article

Category: AI & Machine Economy, Innovation Topics

Previous Post: « New Liquid Foundation Models can be deployed on edge devices without the need for extended infrastructure of connected systems and are superior to transformer-based LLMs on cost, performance and operational efficiency
Next Post: Context engineering is replacing prompt engineering as the key to AI performance through smart context pipelines that integrate semantic search engines, versioned memory banks, and modular knowledge sources to guide LLMs effectively »

Copyright © 2025 Finnovate Research · All Rights Reserved · Privacy Policy
Finnovate Research · Knyvett House · Watermans Business Park · The Causeway Staines · TW18 3BA · United Kingdom · About · Contact Us · Tel: +44-20-3070-0188

We use cookies to provide the best website experience for you. If you continue to use this site we will assume that you are happy with it.