## Prod-Ready Data Agent in Days, not Quarters First platform to build and evaluate AI agents for analytics that handle real-world data problems: freshness, quality, schema changes, and metric accuracy - not just SQL syntax. ### TRUSTED BY COMPANIES FOCUSED ON CUSTOMER SUCCESS - - - - - - - - - ## BENEFITS ### An Agentic AI Developer Platform, Built by Data Engineers, for Data Engineers Build AI agents that think like data engineers: from live pipeline connections to freshness checks, data-quality evaluation, and grounded actions. Get your analytics agent production-ready from day one. ### Get your agent data ready Out-of-the-box database connector lets your agent fetch live data seamlessly and are automatically aware of your database metadata, semantic layer and row and role-based data access. #### Metadata Awareness - Automatically discovers database schema, column types, and relationships #### Semantic Layer - Maps technical field names to business-friendly terms for better understanding #### Access Controls - Built-in row-level and role-based security for data protection ### Context, RAG and prompt management system purpose built for data Embed your company’s DNA in the agent via custom system prompts. Equip your agents with the right business and data context with golden SQL queries, well-trusted analytics assets and company knowledge base. #### Golden SQL Queries and Analytics Assets - Give your agent instant access to pre-vetted queries and analytics that deliver accurate, real-time insights without risking outdated or incorrect logic. #### Knowledge Base - Equip your agent with a curated set of trusted company documents, SOPs, and FAQs for consistent, contextually accurate answers. #### Custom System Prompt - Define your agent’s personality, tone, and operating rules so every interaction feels on-brand and aligned with your company’s goals. ### Continuous Tracing and Evaluation for Reliability Monitor your agent performance, trace where things go wrong, and constant evaluation ensures your AI agent provide accurate data insights. - **Real Track Metrics**: Track accuracy, speed, and usage trends as they happen to keep your agent performing at its best. - **Root Cause Tracing**: Pinpoint exactly where and why an error occurred with step-by-step trace visibility. - **Continuous Evaluation**: Run automated checks to ensure responses stay accurate, relevant, and consistent over time. ### Fully Extensible: A Platform for Intelligent Tools Works where it's needed most - Be it your SaaS portal, custom built UI, Slack, WhatsApp and more. Expose your agent as Model Context Protocol (MCP) server and deploy it anywhere, providing secure and consistent access to contextual data. - **Secure Deployment**: Row and role-based access control ensures your AI agent maintains security across all platforms. - **Real Time Status**: Monitor endpoint health and connection status across all destinations in real-time. - **Multi-Platform**: Deploy to Slack, WhatsApp, web apps, and custom UIs with consistent context. Upsolve puts a data-aware agent in front of your product to guide your customers, answer their questions in context, and help them achieve their goals faster. ## Security Your customers' data is paramount. Upsolve is built with role-based tenancy from the ground up, ensuring that data is always secure and properly permissioned. You have granular control over what data the agent can access, so you and your customers can have complete peace of mind. ### Simplicity You don't need a team of AI experts to get started. Upsolve provides a user-friendly interface that makes it easy to connect your data sources, configure your agent, and deploy it to your users. Our monitoring tools give you clear insights into how your agent is being used and how it's performing. ### Accuracy AI can be prone to errors and hallucinations. With Upsolve's intuitive evaluation and testing tools, you can be confident that your agent will respond accurately and helpfully. Our platform allows you to review responses, fine-tune behavior, and continuously improve the agent's performance over time. ## In today's world, everyone needs a trusted agent ### How does Upsolve Agentic Embedding work? Upsolve puts a data-aware agent in front of your product to guide your customers, answer their questions in context, and help them achieve their goals faster. ### 1. Connect Your Data Sources Integrate your databases, analytics tools, and APIs using our high-performance connectors. With Upsolve’s API-first approach, you can fully customize how your data is ingested and refreshed. ### 2. Intelligent semantic layer built based on your product and customer needs Map datasets, metrics, and business logic into an intelligent semantic layer tailored to your product and customer use cases. ### 3. Empower Your Product with Upsolve Use Upsolve’s tools and agent out of the box, configure tools with your business context to make them more powerful, and deploy them into your product with a single line of code. ### 4. Monitor, Evaluate & Optimize Continuously monitor the usage patterns of your AI agent, regularly evaluate its performance, and optimize its functionalities to ensure you are closing the full feedback loop effectively. ### Testimonials - **Garry Tan, President & CEO of Y Combinator**: "If you need to offer AI-based analytics give Upsolve AI a look. They let startups offer analytics dashboards and a smart conversational AI agent. Really smart ex-Palantir team." - **Ashok Seetharam, Co-founder & CTO of PAXAFE**: "Upsolve AI has been transformative for us at PAXAFE. It allowed us to rapidly develop and deploy customized analytics dashboards that perfectly align with our design system." - **Aditya Agashe, Co-founder & CEO of Fiber AI**: "Upsolve AI takes away the analytics burden from our development team, enabling us to laser-focus on delivering Fiber’s core offerings." - **Vicky Tam, Chief Product Officer of Measurable AI**: "Upsolve AI's dynamic adaptability to each customer's data and business requirements enabled us to automatically tailor the analytics for each customer." - **Jack Solomon, Co-Founder and CTO of Guac**: "For us, no two customers are alike — every grocery chain has its own unique data structures, team roles, and analytical needs." Stop answering the same 10 questions today.