NotedSourceOur advanced ingestion pipeline is designed to handle the complex, unstructured data typical of enterprise R&D environments. We turn historical records into instantly searchable, contextual knowledge.
Full support for unstructured data including PDFs, Office documents (Word, Excel, PowerPoint), scanned images, high-resolution CAD files, proprietary lab notebooks, and custom scientific formats (e.g., spectral analysis reports).
Define custom document types and metadata fields (e.g., Author, Project ID, Patent Status) to enable granular filtering and advanced search capabilities.
All AI-powered answers are grounded and cited directly back to the original source documents within your private corpus, ensuring trust and traceability.
Select and optimize the performance of answers by choosing from our suite of industry-leading generative models.
Unlike public search tools, the Research Compass Knowledge Engine puts you in complete command of your intellectual property. Our platform allows for granular permission setting—isolating data by project, team, or seniority level—ensuring that sensitive historical knowledge remains accessible only to authorized users. For enhanced privacy, we can deploy the entire solution within your cloud environment.
Instantly access, query, and synthesize knowledge locked within your organization’s proprietary documents and historical R&D records. Break down data silos and enable rapid institutional knowledge transfer.
Key Benefits: Instant access to proprietary insights, grounded in internal truth, and protected by strict permissions and customizable data isolation.
Leverage the continually updated corpus of global academic publications and peer-reviewed research available through the standard Research Compass platform.
Key Benefits: Validate internal findings, contextualize product development, and stay ahead of emerging scientific trends and methods.
Uncover unique insights by simultaneously querying your confidential R&D history alongside the world’s academic output.
Key Benefits: Reduce redundant research, accelerate time-to-market by linking theory and practice, and derive novel connections unavailable through siloed searching.
Our enterprise team specializes in mapping complex R&D data landscapes. We work directly with you to understand your specific data governance needs, technical requirements, and strategic goals to ensure a successful AI transformation.