Divyam.AI for Educational Institutions
Bring AI to research and campus operations, built around your institution's knowledge. Your data stays under your control, and inference spend comes down.
Keep your data inside your institution
- Your own infrastructure. Run AI in your institution's cloud account or on campus infrastructure.
- Private and air-gapped options. Sensitive workloads can run privately, or fully air-gapped with no outside connection.
Research data, student records and internal documents stay within your perimeter. You decide which workloads, if any, ever leave it.
Models that know your disciplines
- Fine-tuned models. Specialised models for your disciplines and research.
- Quality defined per use case. Custom evals set the bar for each use case, from research support to student services.
- Lower inference spend. Each request goes to the most cost-effective model that meets its bar.
Fine-tuned models carry the vocabulary of your departments and research groups. Custom evals define what a good answer means for each use case.
Plan spend, and build on what you know
- Custom pricing. Align AI usage with institutional budgets through pricing built for your institution.
- New services from your knowledge. Explore AI services built on institutional knowledge you have the rights to use.
AI spend can follow the budget your institution sets. The knowledge your institution holds can also become the basis for new AI services.
Plan AI for your institution
Tell us about your research groups, your campus workloads and where your data has to stay.