https://www.implicit.cloud/
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About Implicit

Implicit is an AI-powered support and knowledge management software solution that helps companies automate complex support workflows, scale product expertise, and deliver accurate answers via both agent-assist and self-service experiences. Built for organizations with intricate product ecosystems (such as B2B SaaS, cybersecurity, manufacturing, electronics, product companies, aviation, etc.) Implicit uses advanced AI techniques and domain-specific reasoning to deliver contextually relevant answers to technical questions. It serves technical support, customer success, and knowledge management teams that need to reduce time-to-resolution, increase consistency in responses, and improve customer experience without scaling headcount. Implicit can be deployed in two modes: - Implicit Support (Copilot): Assists human agents with real-time, AI-suggested responses during live support sessions. - Implicit Knowledge (Chatbot): Enables customers to self-serve via a conversational AI interface that understands your product documentation. Key features and value propositions include: - GraphRAG AI Engine: Combines structured and unstructured data to understand relationships across products, issues, and resolutions. - Multi-Source Knowledge Integration: Ingests manuals, support docs, tickets, wikis, and more—without requiring manual tagging or restructuring. - Configurable Copilot and Chatbot Interfaces: Deployable as agent-assist tools in CRMs or as standalone self-service experiences. - Query Analytics and Feedback Loops: Provides insight into what users are asking and where knowledge gaps exist. - Scalable and Secure Infrastructure: Designed for enterprise environments with role-based access controls, data isolation, and robust query limits. The onboarding process is structured for rapid time-to-value, with most customers launching within hours. In just 10 days, teams can: - Upload documentation, benchmark chatbot accuracy, and align on their support use case (Day 0) - Refine product taxonomies and accuracy via feedback and edge case testing (Days 1–5) - Fully launch across teams and channels with >99% accuracy (Day 10) Customers typically experience: - 99%+ product question accuracy - 60% deflection of inbound support calls - 3× improvement in accuracy over generic LLMs - 20%+ increase in CSAT within weeks - Average platform launch time under 2 hours Implicit is suited for mid-sized to enterprise organizations aiming to scale support without scaling headcount.

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Latest News about Implicit

Harvard Kennedy School · May 30, 2026

Harvard psychologist Mahzarin Banaji on AI, implicit bias, and social ethics

July 11, 2024, Video: "Harvard Business School's Institute for Business in Global Society (BiGS), in collaboration with the Race, Gender, and Equity initiative at HBS, spoke with Mahzarin Banaji, professor of psychology at Harvard University, at a symposium on Inequality in the Digital Age. Banaji discusses the future of social ethics in AI, her research to understand how the language we use reveals societal stereotypes, and how this research can help mitigate implicit biases.

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Darktrace · May 05, 2026

Supply-Chain Attacks in an Era of Automation and Implicit Trust

This blog examines Axios, Trivy and Quest Kace compromises observed in the Darktrace customer base, highlighting the need for anomaly detection, assumed breach and continuous visibility

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blog.google · May 04, 2026

Evolving Verifiable Trust: Bringing Binary Transparency to the Android Ecosystem

Google is expanding Binary Transparency on Android to help you verify that your Google apps are genuine and authorized for release.

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Association for Psychological Science · Apr 24, 2026

Treat Implicit Bias as a Public Health Problem, New Report Recommends

To turn the tide on the biases that perpetuate social injustice, the latest issue of PSPI recommends that governments and institutions treat implicit bias as a public-health problem.

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Frontiers · Apr 10, 2026

Bridging awareness and behavior: decoding implicit metacognitive behaviors in AI-assisted programming via fine-grained log analysis

While generative artificial intelligence offers transformative potential for programming education, its impact on students' internal cognitive and behavioral...

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