AI Infrastructure for
Institutional Research
Jianai partners with universities, research institutes, and R&D organisations to deploy secure, bespoke AI research environments. Purpose-built for large-scale data interrogation, literature synthesis, and collaborative discovery.
Bespoke AI research environments
Dedicated deployments tailored to your research ecosystem. Not generic SaaS access.
- Custom domain environments
- Institutional branding
- Dedicated AI configuration
- Integration with institutional authentication (SSO, SAML, OAuth)
Large data integration
We integrate Pip directly into your data landscape.
- Secure ingestion of institutional datasets
- API integration with internal repositories
- Cross-team knowledge graphs
- Structured evidence mapping
Advanced literature & open data intelligence
Accelerate synthesis across global research corpora.
- AI-assisted cross-study comparison
- Thematic mapping across disciplines
- Rapid identification of research gaps
- Grant positioning intelligence
Governance & enterprise controls
Built for institutional requirements.
- Role-based access control
- Audit trails
- Secure cloud or private environment deployments
- Data isolation options
Deployment models
We offer flexible partnership models depending on scale and ambition:
FAQs
Get answers to common enterprise-level questions below.
Yes. Jianai is designed to integrate with enterprise environments, including internal knowledge repositories, document management systems, research databases, identity providers, and third-party AI services. We work with organisations to support secure integrations aligned to existing operational, compliance, and IT requirements.
Security and governance are foundational to the Jianai platform. We support enterprise-grade security controls including role-based access management, encrypted data storage and transfer, workspace isolation, audit logging, and configurable privacy modes. Organisations can also discuss deployment models and data handling approaches aligned to internal compliance requirements.
Yes. Jianai is being designed with flexibility in mind, allowing organisations to utilise Jianai-managed AI services or integrate approved third-party and enterprise AI providers where required. This approach supports greater control over model usage, governance, and internal AI policies.
Jianai is being architected to support enterprise deployment flexibility, including secure private environments and future support for sovereign or on-premise deployment scenarios where required. Deployment approaches can be discussed based on organisational security, compliance, and infrastructure needs.
Build the intelligence layer for your institution
We partner with institutions that want to move beyond AI experimentation and embed intelligence into their research infrastructure.
