Solutions
Production-grade solutions that turn our open-source packages into deployable AI systems for specific business problems. Pick one, follow the DIY tutorial to see how it's done, download the examples and deploy them on your own infrastructure — for free — or tell us which ones you want customized and deployed.
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3 solutions
vertex-ai-mcp-server-for-smb-data-analytics
Small business owners can’t afford a data team. They have data in spreadsheets, a CRM, or a simple database, but translating a question like ‘Which product had the highest margin last month?’ into SQL is beyond their self‑serve abilities.Launch a multi‑tenant MCP server that lets your small business customers ask analytics questions in natural language – powered by Vertex AI and your own BigQuery datasets.
agnostic-vertical-safety-guardrails-2
As a compliance officer at a vertical SaaS provider, you must ensure that AI features adhere to industry-specific regulations like HIPAA for vet-tech or PCI for restaurant-tech. Off-the-shelf guardrails are too generic and don't map to your vertical workflows. You need a way to define and enforce safety policies per tenant, with observability into violations. Your current approach relies on manual reviews, which doesn't scale.Enforce HIPAA, PCI, or other compliance rules per tenant with customizable guardrails.
agnostic-per-tenant-llm-cost-chargeback-2
As a product manager at a vertical SaaS company, you need to offer AI features to your SMB customers but each customer may use different LLM providers based on their plan. You lack per-tenant cost tracking, making it impossible to charge back usage accurately. This leads to margin erosion and prevents you from scaling AI features profitably. You need a solution that captures LLM costs per tenant and integrates with your existing billing system.Track and bill each SMB customer for their AI usage with granular cost attribution.