Category: Blog

  • What if your AI could actually read a table?

    Most AI tools handle text well. But ask them about a table in a research paper, and they quietly fall apart. Tablemind was built to fix that. There’s a technique called Retrieval-Augmented Generation (RAG) that’s become a popular way to let AI answer questions about documents. The idea is simple: rather than memorising an entire library of…

  • Going Inference-Token Free: Local Models for Enterprise Knowledge Work

    We’re building a knowledge chatbot that reads from SharePoint and uploaded files, and even in its early stages, an uncomfortable question is starting to take shape: are premium cloud models overkill for most enterprise work?” Two kinds of AI workload Most organizations have a split. On one side, genuinely hard problems: deep research, complex analysis,…

  • The New Presentation Stack: Why Web-First Decks Win And Where They Fall Short

    The humble slide deck hasn’t changed much since the 1990s. We still treat presentation design like a digital overhead transparency, rigid rectangles with fixed dimensions. A compelling alternative is quietly gaining traction. As the demand for dynamic data storytelling and interactive content grows, a modern alternative is gaining serious traction: web-first presentations built from HTML,…

  • Democratizing Generative Agent-Based Simulation for Sustainable Development Goals

    What if you could model peace negotiations between conflicting nations, simulate labor strikes to test collective bargaining strategies, or design resource management systems that prevent the tragedy of the commons, all through a simple web interface? The Concordia Simulation Builder, developed at the United Nations University, makes this possible. This open-source tool brings Google DeepMind’s Concordia…