An intelligent platform connecting businesses and researchers in R&D projects
Connect with experts, manage research to international standards, and accelerate projects with the Agentic PI AI system.
Data at a glance
VBrain Connect
AI-powered expert & knowledge search engine supporting problem analysis.
VBrain Network
Verified expert network, updated by field & actual capability.
VBrain Collab
International standard R&D project management toolkit + Comprehensive Agentic PI coordination.
Discover
Companies share challenges and AI suggests experts and knowledge
Connect
AI ranks suitability and recommends optimal matches
Collaborate
Experts and enterprises co-create and propose solutions
Execute
VBrain manages the project and supports research operations
Validate
Independent experts certify and evaluate final outputs
Benefits of using VBrain for enterprise R&D projects
Reduce costs & minimize waste in R&D
Enterprises avoid misguided experiments and ambiguous decisions thanks to:
- Problem statement clarified from the start
- Research options with risk-cost-feasibility analysis
- Continuous validation helps stop ineffective directions early
Save XX% of R&D costs compared to traditional methods.
Significantly shorten project research & implementation time
With VBrain, enterprises don't need to spend months to:
- Manually find suitable experts
- Understand the problem, define scope and approach
- Build research documentation from scratch
VBrain accelerates everything with data + AI + expert system.
Reduce XX% time from problem inception to solution direction.
Increase reliability & quality for the entire R&D process
Thanks to the validator and verification system, enterprises will:
- Be assured of method accuracy
- Clearly see independently verified deliverables
- Track every step via logbook & dashboard
- Control both internal teams and external experts
Transparent research results, auditable, and decision-ready.
Build internal R&D capacity without total dependence on external sources
Every project on VBrain accumulates into:
- Playbook, SOP
- Lessons learned
- Case study
- Reusable knowledge base
Additionally, the internal team is supported by AI Agents and practical experts.
Enterprises enhance internal R&D capacity without investing in a large team.