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Accrete AI

Provides AI-powered knowledge engines that transform tacit domain expertise into autonomous, semantically unified knowledge graphs, enabling superhuman decision-making and predictive insights. This technology addresses organizational knowledge loss, information overload, and inefficiencies in defense, intelligence, and cybersecurity by automating complex reasoning, threat detection, and risk management at unprecedented speed and scale.

East New York, United StatesFounded 201717230K+ followers
Updated 4 months ago

Funding

$45.6M 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

Product

Problem

Organizations struggle to effectively leverage the tacit knowledge of their experts due to increasing information complexity and limitations in human reasoning, leading to knowledge loss and deterioration in decision-making quality. Existing Large Language Models (LLMs) can converse with data but cannot generate new knowledge or insights beyond their training data.

Solution

Accrete provides AI Knowledge Engines that transform tacit domain expertise into autonomously generated knowledge graphs. These knowledge graphs semantically unify siloed data, producing new knowledge and predictive insights. Accrete's AI agents can expertly reason, understand, learn, collaborate, predict, decide, plan, and act at superhuman speed and scale. The multi-agent framework enables multiple agents with different worldviews and expertise to work together to connect dots and predict the future in ways humans cannot.

Target Audience

Accrete serves government and business organizations seeking to encode the tacit knowledge of their experts into AI agents for complex decision-making, including defense, intelligence, cybersecurity, and enterprise IT.

Features

  • AI Knowledge Engines transform tacit human knowledge into autonomously generated knowledge graphs
  • Semantic unification of siloed data to produce new knowledge and predictive insights
  • AI agents can reason, understand, learn, collaborate, predict, decide, plan, and act
  • Multi-agent framework enables collaboration between agents with different worldviews
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This profile is AI-generated and may contain inaccuracies.