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KE

KITE EDGE

KiteEdge offers a customizable search platform that integrates large language models and knowledge graphs to enhance information retrieval and contextual insights for asset managers and banks. This technology enables organizations to unify their intellectual property and improve decision-making by providing precise, context-aware access to relevant data.

London, United KingdomFounded 201615200+ followers
Updated 4 months ago

Funding

$4.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Financial institutions and asset managers often struggle to efficiently access and leverage their internal and external data silos, hindering effective decision-making and potentially leading to missed opportunities. Traditional search methods lack the contextual awareness needed to surface relevant insights from the vast amounts of available information.

Solution

KiteEdge offers a search and knowledge discovery platform that unifies enterprise data and applies large language models (LLMs) and knowledge graphs to provide context-aware insights. The platform connects disparate data sources into an Adaptive Knowledge Network, enriching information with AI-driven links and surfacing real-time recommendations. KiteEdge's AI layer, Contours, allows users to ask natural language questions and receive precise, evidence-based answers sourced from the organization's complete knowledge base, ensuring transparency and traceability. By integrating with existing workflows and metadata structures, KiteEdge enables teams to harness their collective intelligence and make faster, more informed decisions.

Target Audience

KiteEdge primarily serves financial institutions, asset managers, and research providers seeking to improve decision-making by unifying data and leveraging AI-powered insights.

Features

  • Context-aware search powered by LLMs and knowledge graphs
  • Adaptive Knowledge Network that dynamically connects and enriches information
  • AI-driven enrichment to automatically link related insights across sources
  • Contours AI layer for conversational search with citations and provenance
  • Advanced faceting and filtering capabilities
  • Paragraph-based document linking
  • Support for existing metadata and workflows
This profile is AI-generated and may contain inaccuracies.