Solutions for Your Real-World Use Cases
Explore real-world AI use cases that Drizzle:AI enables, from internal knowledge automation and building customer-facing products to establishing a centralized, enterprise-scale AI platform.
Use Case: Building Customer-Facing AI Products
Launch innovative, revenue-generating AI features and products like co-pilots, summarization tools, and recommendation engines. Drizzle:AI provides the production-grade infrastructure to go from concept to market in record time.
- Build and deploy AI co-pilots and assistants
- Create personalized recommendation engines
- Launch summarization and data analysis features
- Radically accelerate your AI product roadmap
Use Case: Centralized AI Platform for Enterprise Scale
Move from siloed, ad-hoc AI experiments to a secure, governed, and cost-effective enterprise-wide capability. Drizzle:AI provides the centralized platform to manage all your AI initiatives at scale.
- Eliminate model sprawl and duplicated infrastructure
- Enforce centralized security, compliance, and governance
- Gain full visibility and control over GPU and token costs
- Provide a standardized platform for all teams to innovate
Use Case: Internal Knowledge & Support Automation
Empower your teams with an AI-powered expert that has mastered your company's internal data. Deploy a secure, self-hosted knowledge assistant to automate support and accelerate productivity.
- Deploy a secure, internal RAG pipeline
- Automate responses to HR, IT, and engineering questions
- Slash employee onboarding time
- Keep your sensitive company data 100% private
