Snowflake Agent Acceleration

Snowflake-powered? Ship customer-facing AI agents in weeks, not months

You've got rationalised data, strong models, and serious infrastructure. That's an enormous head start…

Mindset AI is the frontend layer turning that into something your customers can actually use. Build APIs on your Snowflake data, expose them to agents through MCP, and ship AI experiences where your customers talk to your product and take real actions - not click through menus.

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You've invested heavily in Snowflake, but you're not yet shipping customer-facing AI on it, and you're missing out on ROI.

Your engineers would need to build chat interfaces, widget systems, and front-end deployment infrastructure from scratch. None of it is what makes your product unique.

Every new capability means weeks of frontend development and infrastructure - even when the business logic already exists.

Your data and ML teams build powerful differentiation , but getting it into customer hands requires coordinating across product, design, and engineering, slowing time to value.

Mindset AI connects to your services and business logic through MCP and gives your customers a conversational way to interact with all of it.

Build on Snowflake. Then ship conversational experiences in weeks, not quarters. Mindset AI handles the frontend, you focus on building what makes your product unique.

Agent Chat SDK

Add AI-native chat experiences that your customers can access

  • Deploy a Perplexity-like agent chat directly in your product. Add <mindset-agent> with built-in search, citations, suggestions, media, and widgets. 

  • Agents & widgets you build surface inside the chat for users to access.

Interactive Widgets

Widgets complete customer tasks in one interaction, not ten clicks

Every new customer-facing capability needs a frontend build. Weeks of work, every time. With Mindset AI:

  • Skip the frontend work that doesn't differentiate you. Build widgets on the MindsetAI platform, or in your own dev environment - connected to your APIs via MCP

  • Agents can render interactive components in conversation (book a meeting, update subscription, assign users)

Connect Your APIs via MCP

Connect your platform and services. Let agents do the rest.

You've built services, models, and APIs on Snowflake. But each new capability means weeks of frontend development before customers see it. With Mindset AI:

  • Expose your APIs (recommendation engines, pricing logic, scheduling services) as tool-based MCPs.

  • Connect existing text-to-SQL tools as MCP servers (your own, dbt, or Snowflake Cortex).

  • MindsetAI provides a tool calling layer that lets agents reason and decide which APIs to call for users.

  • Widgets pull live data and render in context—calendars, forms, data comparisons.

  • We never access your databases directly—everything flows through MCP services you control.

MCPs & Widgets

Turn ML models into customer-facing experiences

Your teams have built ML models that generate predictions and recommendations. Turning them into something customers can use?  That's a separate project entirely. With Mindset AI:

  • Agents tap into your ML models through MCP services— so questions like "Who's at risk of churn?" just work.

  • Predictions surface as interactive widgets—visual indicators, trend charts, and the key drivers behind them.

Enterprise AI Features

Deploy production & enterprise-ready agents with compliance built in

Production-grade AI. Enterprise-grade governance. With Mindset AI:

  • Multi-tenant provisioning with per-customer data isolation.

  • Agents connect through MCP services you expose—No directdatabase access. Your governance policies and access controls remain intact.

  • Compliance guardrails and built-in audit logging.

  • Memory engine personalizes each experience within your data boundaries.

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