bodh scientific™ helps you centralize, organize, and connect all your scientific information, from raw materials to products and methodologies. Every experiment, formulation, and trial draws from the same reliable source of truth, ensuring your data is consistent, searchable, and ready for AI.
A Unified System of Scientific Records
At the core of bodh scientific™ lies an intelligent system of configurable databases that serve as your organization’s living knowledge base. Each database is designed like a scientific table with customizable fields for text, numeric, dropdown, boolean, and date values, so you can capture exactly what matters to your work, no more and no less.
Whether you’re managing materials, test methods, or instruments, these databases bring consistency and traceability across every project and experiment. Entries can be filtered, searched, sorted, and exported easily, helping teams move from scattered spreadsheets to structured, organization-wide intelligence.

Global and Local Databases: Built for Collaboration
- Local Databases, where individual users or teams can create and test their own collections.
- Global Databases, approved by administrators to serve as enterprise-wide master data.
This system ensures that innovation doesn’t get lost in personal files. Local discoveries can evolve into standardized, globally accessible records.Each global database maintains strict version control and validation rules, helping teams preserve data quality and governance across every project.
Every organization has two layers of knowledge:

Connected by Design for AI-Ready Knowledge
Each database can reference others, allowing you to map relationships between materials, formulations, equipment, or processes.For example, a product can link directly to the raw materials it uses or the tests that validate it.
These connections form a knowledge graph that grows organically as you work, helping our AI agents understand not just individual entries, but how they relate to one another. That’s what sets body's databases apart is how deeply they integrate with AI. The information you capture here doesn’t just sit in storage — it becomes part of a contextual intelligence layer that powers the platform’s agents and models.

Governance and Accuracy at the Core
Scientific data demands precision. The platform’s databases are built with data validation, unique keys, and mandatory field controls, ensuring accuracy and reliability across teams. Version histories and permissions maintain full transparency. Every change is tracked, and every record can be traced back to its source.
Enterprise administrators can manage ownership, approvals, and visibility, giving organizations confidence that their master data is both compliant and current.



