Supercharge Knowledge Creation in teams
Build collective intelligence for your teams to organize, explore, and discover faster.
Democratizing Scientific Knowledge Creation
Extract knowledge from your teams’ data
Ask the right questions and test new hypotheses
Reveal new knowledge through exploration
Proofline
Our first realization of the Knowledge IDE vision. Proofline helps R&D teams capture hypotheses, evidence, and decisions—connecting them into a scientific engine that turns scattered work into verifiable knowledge.
Our Thinking
Exploring the frontier of AI-powered scientific discovery—one breakthrough at a time
Introducing Proofline: The scientific engine for Knowledge Creation
A Knowledge IDE can unify the workflow, but how should humans and AI collaborate with each other to produce new verifiable knowledge ? We propose Proofline™, a Dynamic State Engine that captures every hypothesis, decision, and insight. Like a Git for Knowledge, Proofline brings version control to ideas, transforming fragmented tools into an orchestrated intelligence platform. This whitepaper explores the technical framework for such an engine and its implications for future of high staked knowledge creation.
Read Insight
Re-coding the Scientific Method: How an Integrated Development Environment (IDE) for Knowledge Will Revolutionize Research
Our previous work proposed the Knowledge IDE as a solution to the epistemic bottleneck in modern research. Here, we examine this challenge from the practitioner's perspective: research teams are trapped in a two-front war of knowledge overload, external information deluge and internal knowledge fragmentation, that current tools fail to address. In this article, we demonstrate how a Knowledge IDE can transform institutional memory from passive archive into active reasoning partner, augmenting human creativity while preserving scientific rigor.
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Why a Knowledge IDE ?
This exploration presents our perspective on why the Knowledge IDE could become essential infrastructure for AI-enabled organizations. We examine our hypothesis that enterprises need to evolve from siloed knowledge stores to federated networks, and why we believe the lessons from scientific knowledge creation offer a compelling blueprint for this transformation.
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Aavishkar : Towards an IDE for Knowledge Creation
We propose a Knowledge IDE (Integrated Development Environment) to address the growing fragmentation of scientific information and complexity of new knowledge creation. Just as software IDEs revolutionized coding by unifying disparate tools, a Knowledge IDE can integrate the core components of research into a single, interactive platform. This environment is built on three pillars: a unified knowledge base that merges public literature with private research data; a suite of specialized AI agents that automate cognitive tasks like analysis and hypothesis generation; and a collaborative workspace for seamless human-AI interaction. By tightly coupling these elements, the Knowledge IDE overcomes the limitations of isolated tools and generic chatbots, creating a context-aware and scientifically rigorous workflow engine. This approach promises to accelerate discovery, democratize access to advanced research tools, and improve the reproducibility of science by structuring the process of knowledge creation itself.
Read InsightBuilding AI for Science Together
We believe that the next leap in science will come from communities, not silos. Proofline is our first step toward a Knowledge IDE, and we are inviting collaborators to help shape it. Whether you are a lab eager to pilot, a researcher ready to share your workflows, or an engineer inspired to build with us—this is your chance to co-create the future of AI-powered discovery.