Decker
Decker is a AI powered deliverable enablement and monetization platform for consultants, investors, finance professionals, and operators. It helps professionals turn messy source material (redacted) into high-quality business outputs while giving them a path to capture, annotate, and package their expertise for future value.
The platform combines specialized AI agents, AI decks, document generation, analytical sheets, document review tables, knowledge-base chat, source preparation, redaction, transcript extraction, brand templates, data labeling, expert support, practical learning, curated tools, and community workflows.
Users can create MBB-style strategy decks, IC memos, investment memos, DCF models, market maps, BRDs, ERP implementation packs, diligence summaries, financial analyses, reports, infographics, review tables, and other professional deliverables.
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Weavin
Weavin is an AI-powered knowledge work platform that helps teams and professionals transform scattered information into structured insights, analysis, and content in a single workspace, streamlining market research, competitor analysis, literature synthesis, and content brief creation so users can spend less time aggregating data and more time generating publish-ready work. It lets you upload documents and files, extract key points and themes with AI assistance, organize those elements into reusable blocks or “cards,” and build comprehensive outputs like reports, briefs, and strategic summaries without switching between multiple tools. It combines an infinite canvas workspace with AI-augmented templates and search so you can ask questions across all your sources, get precise, contextualized answers, and refine outputs collaboratively. Weavin’s AI blends information from your files, your knowledge library, and external sources to help structure frameworks, surface trends, etc.
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Pinecone
The AI Knowledge Platform.
The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Developer-friendly, fully managed, and easily scalable without infrastructure hassles.
Once you have vector embeddings, manage and search through them in Pinecone to power semantic search, recommenders, and other applications that rely on relevant information retrieval.
Ultra-low query latency, even with billions of items. Give users a great experience. Live index updates when you add, edit, or delete data. Your data is ready right away. Combine vector search with metadata filters for more relevant and faster results.
Launch, use, and scale your vector search service with our easy API, without worrying about infrastructure or algorithms. We'll keep it running smoothly and securely.
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MythOS
MythOS is a shared memory system between you and every AI you use, built to help people stop re-explaining themselves across models, agents, and channels. It is designed for people who write to think, giving them a modular thinking system for structured notes, memos, contextual maps, and AI-powered workflows. Users can capture what they read, connect what they think, and publish what matters while keeping their library one click away from every AI. MythOS works as a personal knowledge operating system where memory, notes, ideas, resources, and context can be organized into structured documents that stay useful over time. Its approach treats knowledge as a process, not a one-time activity, so living documents can remain in progress, evolve, and connect with related people, projects, topics, and ideas. It supports contextual maps, public memos, private knowledge, AI-ready memory, exportable data, and workflows that help users build a durable layer of context.
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