--- title: Upsolve AI Reviews meta_title: 'Upsolve AI Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 15 reviews by the users' company size, role or industry to find out how Upsolve AI works for a business like yours. aggregate_rating: rating_value: 4.8 review_count: 15 scale: '5' date_modified: '2026-06-26' parent_category: name: Business Intelligence url: https://www.g2.com/categories/business-intelligence --- # Upsolve AI Reviews **Vendor:** Upsolve AI **Category:** [Data Visualization Tools](https://www.g2.com/categories/data-visualization-tools) **Average Rating:** 4.8/5.0 **Total Reviews:** 15 ## About Upsolve AI Upsolve AI is the platform for deploying governed, grounded, and trustworthy AI data agents to your internal teams or external customers. It helps data teams move past the broken self-serve BI promise by combining the conversational power of large language models with the rigor of a robust semantic layer, rich business context, and built-in evaluation and observability to put agent and context improvements on a flywheel. End users get accurate answers while the data team stays in control. The platform has two complementary components: the Upsolve Data Agent and the Upsolve Agent Context Studio. 1. The Upsolve Data Agent. The Upsolve Data Agent does what a good data analyst does. It answers business questions in natural language, asks clarifying questions when a request is ambiguous, generates charts and reports on the fly, and helps users explore the underlying data without writing SQL. These analyst behaviors come built into the agent itself. What the Upsolve Data Agent does: Conversational, natural-language Q&A over your data, with built-in text-to-SQL Multi-step reasoning across datasets, generate interactive charts on-demand(30+ chart types: bar, line, pie, scatter, heatmap, funnel, and more), auto-generated reports and summaries tailored to a user's role (exec, PM, ops, support, finance), conversational drill-down and follow-up turns in the same thread. The Upsolve Data Agent is designed to be easily customizable. We don't believe in an out-of-the-box data agent. Data agents are only useful and reliable with rich context and when assessed against your own performance benchmarks. A generic LLM connected to a database produces generic answers and hallucinated metrics. To produce true, traceable, and transparent answers about your business, the agent needs three more things, and that is where the Data Agent Studio comes in. 2. Upsolve Data Agent Studio. The Data Agent Studio is the place for your team to make the Data Agent accurate, reliable, and trustworthy. It is built on three layers: Data Layer, Context Layer, and Trust and Evals Layer. Data Layer: OOTB database connectors + Cockpit for Semantic Layer construction Database connectors for ClickHouse, Snowflake, BigQuery, Redshift, Databricks, Postgres, MySQL, and other major data warehouses. Robust data governance with Multi-tenant architecture with row- and column-level permissioning. For teams that don't have a unified semantic layer model, the Cockpit tool provides a guided and guardrailed interface that takes your team from fragmented data to a clean, AI-ready semantic layer in a week, instead of the six to eight months a typical V1 takes. Context Layer: your data agent needs a unified, auto-curated, and auto-refreshed context layer. The Context Layer connects your files, docs, and systems (Notion, Confluence, Google Drive, internal wikis, product release notes, dbt files, data catalogs, metric glossaries) and curates the information the agent needs to understand the business behind the numbers. It captures product launches, definition changes, ontology, naming conventions, and team-specific business logic so a query like "usage spiked last week" turn into "usage spiked last week, and this correlates with Tuesday's Pro plan launch". The Context Layer scans for updates across systems of records connected to it, flags context gaps, and suggests updated. Humans always in the loop. Trust and Evals Layer: Testing, end-of-end observability, and evaluations according to your benchmarks. Sandbox environment for pre-deployment testing, plus production logs after launch. Full LLM observability: every prompt, tool call, model used, retrieved context, and reasoning step is logged, traceable, and reviewable. Built-in evaluations: define gold-standard queries and answers, run tests, and catch agent drift with in-built LLM-as-a-judge evaluators before stakeholders. This system then creates a self-improving feedback loop when corrections from your team feed back into the agent's eval set so quality compounds over time. Together, those three Data Agent Studio components turn a generic agent into one that produces accurate, reliable, and trustworthy answers your team can defend. Delivery and deployment: The Upsolve Agentic Dashboard is a conversation-driven exploration surface for end users, with 30+ chart types, interactive filters, drill-down, PDF export, scheduled email, and version history. End users can save generated charts to a personal dashboard or simply tell the agent their role and have it auto-build a full dashboard for that persona, solving the blank-page problem typical of self-serve BI tools. SSO, role-based access control, and audit logging are included. The same Data Agent you customized can be accessed by your users wherever they already work. Embedded inside your own product as customer-facing analytics for B2B SaaS as an iFrame or React component; deploy into Slack and Microsoft Teams as in-channel data bot; access in Claude, ChatGPT, Cursor, and any MCP-compatible client to get data while you work and stage multi-agent workflows; or any custom application via REST API. Common use cases: Internal self-service business intelligence for data teams that don't want to be a ticket queue. Customer-facing embedded analytics for B2B SaaS products. Conversational analytics, generative BI (GenBI), and agentic BI deployments AI-powered reporting and operational analytics for ops, finance, support, and product. Multi-tenant SaaS analytics with row-level security. Looker, Tableau, Power BI alternatives for teams that want an AI-native approach. Why Upsolve AI AI-native architecture. Upsolve was built around the agent from day one, not retrofitted onto a legacy BI tool. Data team in control. The semantic layer, business context, and evals all live with your team, not buried inside a black-box LLM. Fast time-to-value. Cockpit takes you from fragmented data to a working semantic layer in a week. Real evaluation. Most "AI for BI" tools skip evals. Upsolve makes them first-class. Build in Studio, access anywhere. The same agent across internal dashboards, Slack, Teams, your product, and MCP-compatible clients. Enterprise-ready. SSO, role-based access control, multi-tenant governance, audit logging, and full observability included. Built for modern data and AI stacksUpsolve plugs into Snowflake, BigQuery, Redshift, Databricks, Postgres, MySQL. It works alongside dbt, existing semantic layers, and your data catalog. The Data Agent can be invoked from Claude, ChatGPT, Cursor, or any MCP-compatible client, making it easy to compose multi-agent workflows where Upsolve handles the data analysis step. YC W24. ## Upsolve AI Pros & Cons **What users like:** - Users appreciate the **ease of use** offered by Upsolve AI, making data analytics accessible for everyone. (8 reviews) - Users appreciate the **ease of setup and integration** with Upsolve AI, enhancing workflow and simplifying dashboard management. (4 reviews) - Users praise Upsolve AI for its **excellent customer support** , enhancing their experience and streamlining operations significantly. (3 reviews) - Users praise **fast and high-quality insights** from Upsolve AI, facilitating clear value demonstration and excellent customer support. (3 reviews) - Users appreciate the **time-saving capabilities** of Upsolve AI, streamlining data analytics and enhancing decision-making efficiency. (3 reviews) - Easy Creation (2 reviews) - Easy Setup (2 reviews) - Features (2 reviews) - Functionality (2 reviews) - Setup Ease (2 reviews) **What users dislike:** - Users feel the **limited customization options** hinder dashboard functionality and integration with external applications. (2 reviews) - Users face **usage limitations** with Upsolve AI, such as slow chart loading and lack of custom hyperlink options. (2 reviews) - Users find that the **complexity of analysis** requires multiple iterations for accurate results, complicating the process. (1 reviews) - Users find the **learning curve steep** with many options, requiring time to grasp all features of Upsolve AI. (1 reviews) - Users find the **learning difficulty** with Upsolve AI challenging due to the numerous configuration options available. (1 reviews) - Limited Customization (1 reviews) - Slow Loading (1 reviews) - Slow Performance (1 reviews) - UX Improvement (1 reviews) ## Upsolve AI Reviews ### 1. Streamlined Dashboards with Stellar Support **Rating:** 3.5/5.0 stars **Reviewed by:** Angela Y. **Reviewed Date:** October 31, 2025 **What do you like best about Upsolve AI?** I find Upsolve AI helpful for centralizing all of our dashboards and metrics, which simplifies our processes by mapping a single SQL query directly to UI components, eliminating the need to build metric-specific database tables, API's, and UI elements ourselves. This integration into our workflow allows for easier manipulation of our database tables, minimizing the necessity of creating pull requests to update API's and enabling quick updates to charts. The setup process was mostly straightforward, thanks to the collaborative effort of Upsolve AI's support team, which welcomed our feedback and helped navigate setup challenges. Additionally, the customer support has been excellent. The tenant filtering per customer and chart filtering features are essential and easy to configure, enhancing the software's utility significantly. The capability to serve SQL metrics directly through our frontend has transformed our approach, replacing the previously messy and hard-to-manage in-house solutions with a streamlined and maintainable system. **What do you dislike about Upsolve AI?** I find the speed of loading charts to be lacking, which affects efficiency and the user experience. The consistency of the product is also an issue, potentially leading to unpredictable behavior or outputs. Better design manipulation is needed, suggesting the current design tools may not be flexible or intuitive enough to add your own style to dashboards. Additionally, while integration with Python and React/TypeScript is easy, the massive package bundle size is a downside and could impact performance. **What problems is Upsolve AI solving and how is that benefiting you?** Upsolve AI centralizes our dashboards and metrics, eliminating the need for creating and maintaining API's and UI components, simplifying manipulation of our databases, and enabling quick updates to charts. ### 2. Streamlined Dashboard Creation with Exceptional Support **Rating:** 4.5/5.0 stars **Reviewed by:** Sahil S. **Reviewed Date:** October 28, 2025 **What do you like best about Upsolve AI?** I appreciate how straightforward it was to set up Upsolve AI, as the process was mostly smooth and uncomplicated. The platform significantly benefits my organization by enabling us to easily create and expose dashboards to our customers, allowing them to track valuable metrics related to shipment visibility such as on-time performance, temperature excursions, and lane performance. The self-serve capability is a standout feature, as it empowers users to add the charts they need and view dashboards tailored to different personas without needing my constant guidance, which is a huge time-saver. Moreover, the partnership with Hevo Data enhances my use of Upsolve AI, as it allows me to prepare data in a specific format required for effective dashboarding. I also admire Upsolve AI's customer team for their excellent customer obsession and reliable, consistent support, which greatly enhances our experience. This consistent helpfulness in problem-solving is more valuable than sporadic instances of good support. Overall, these features make Upsolve AI an invaluable tool in our operations. **What do you dislike about Upsolve AI?** I find the inability to add custom hyperlinks to external apps in the drill down tables limiting, as adding this feature would significantly enhance our dashboard's functionality and create a more integrated experience for our customers. **What problems is Upsolve AI solving and how is that benefiting you?** Upsolve AI enables us to create and share dashboards with customers, helping them track essential shipment metrics efficiently. Its self-service feature reduces my involvement, and the team's consistent support is invaluable. ### 3. Exactly What We Needed for Embedded Analytics Without Rebuilding Our Stack **Rating:** 5.0/5.0 stars **Reviewed by:** Adarsh K. | Founder & CEO, Small-Business (50 or fewer emp.) **Reviewed Date:** July 29, 2025 **What do you like best about Upsolve AI?** We were initially using a DIY stack for embedding analytics into our SaaS dashboard (React + custom dashboards via Metabase). It worked... until it didn’t scale. We moved to Upsolve a few months ago and the difference has been night and day. Their out-of-the-box components made embedding dashboards into our product ridiculously fast. We had our first live customer dashboard up in less than a week. It’s intuitive for both technical and less-technical users, and I really like how the access controls and filters work across different user roles. Also, the support team has been super responsive... they helped us optimize performance for high-traffic accounts. **What do you dislike about Upsolve AI?** Would love more customizable theming options out of the box, but the API workarounds are solid. **What problems is Upsolve AI solving and how is that benefiting you?** We used to manually export CSVs and send them to clients for reporting. Now our customers log in and see live dashboards tied to their own metrics. This has saved us tons of back-and-forth and has made our product feel 10x more premium. Upsolve helped us launch this in under 3 weeks, which wouldn’t have been possible if we built from scratch. ### 4. It's like Stripe for payments **Rating:** 5.0/5.0 stars **Reviewed by:** Panos S. | Founder, Small-Business (50 or fewer emp.) **Reviewed Date:** July 17, 2025 **What do you like best about Upsolve AI?** Upsolve AI took something incredibly complex and overlooked, and made it plug-and-play. Just like Stripe did for payments. Instead of building dashboards from scratch, we got the better end of it with almost zero engineering lift. Implementation was fast, support is world-class, and the team actually listens to feature feedback. The product just works. **What do you dislike about Upsolve AI?** There’s a learning curve if you want to heavily customize dashboards or embed advanced features, but the team’s documentation and support make it manageable. Some more prebuilt templates make things smoother though. **What problems is Upsolve AI solving and how is that benefiting you?** We needed a way to offer advanced, customer-facing analytics without burning months building and maintaining dashboards. Upsolve AI solved this instantly. It saves our engineering team time, helps us win deals (especially with enterprise clients who expect robust analytics), and lets us focus on our core product instead of reinventing the wheel. ### 5. An easy, fast, and cost-effective way for us to build analytics for our customers and users **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** July 17, 2025 **What do you like best about Upsolve AI?** Upsolve AI helped us set up analytics for our end users very fast without us getting a lot of involvement from engineers. On top of that, it enabled team members who are less technical (i.e., Product Manager and Customer Success Manager) to be able to deliver analytics fast in a self-serve manner. **What do you dislike about Upsolve AI?** Upsolve AI required a one-time upfront resource investment in setting up the integrations. It doesn't require a lot of resources, but it requires some team organization to ensure the corresponding engineering bandwidth is available upfront. If you could resource accordingly, it is not a concern. **What problems is Upsolve AI solving and how is that benefiting you?** Our customers need to generate analytics and create dashboards based on the data we generate. Upsolve AI allows us to give this capability to our end users out of the box. This massively reduces our development cycle and the amount of resources required such that we can focus on building what matters the most. ### 6. Great ROI **Rating:** 5.0/5.0 stars **Reviewed by:** Ian M. | Lead Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** July 21, 2025 **What do you like best about Upsolve AI?** Upsolve's low-code, embedded analytics product allowed us to deliver customizable, user-facing dashboards in days. It would've taken us months to build similar functionality in house. **What do you dislike about Upsolve AI?** We use the self-hosted version of Upsolve. Occasionally, taking the latest upgrade with the newest features requires some integration work, but the team is always responsive and helpful guiding us through the upgrade process. **What problems is Upsolve AI solving and how is that benefiting you?** Upsolve is solving the "embedded analytics as a service" need, so that production teams don't need to spend cycles building yet another dashboard for users. We've utilized Upsolve's dashboards for our end users to create custom visualizations on top of their AI monitoring data. ### 7. Snappy and easy dashboarding experience for our end users **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** July 25, 2025 **What do you like best about Upsolve AI?** We need to build and iterate on end-user facing dashboards in a fast and easy manner. Upsolve AI offer just that. And its embedded BI feature also allows our end users to be able to build what they need in a self-serve manner. Lastly, its embedded GenBI/agentic analytics feature also allows our end users to extract data insights directly with natural language. This massively allows our users to extract insights. **What do you dislike about Upsolve AI?** Since the platform is very extensive, there were a lot of concepts I need to learn to be a power user. But once I got over the learning curve, the platform is straightforward and intuitive. Reading the docs was very helpful. **What problems is Upsolve AI solving and how is that benefiting you?** Building analytics dashboard fast for our end users getting them to self serve to build their own analytics, as well as extract data insights through natural language ### 8. Like Having an Enterprise Analytics Team **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** July 28, 2025 **What do you like best about Upsolve AI?** The team at Upsolve is top-notch. Incredibly responsive to our questions and suggestions, and always available to help. Their tech stack integrated easily with our platform, and we were able to extend our security model and visibility rules to reporting without needing to manage a separate configuration in Upsolve. **What do you dislike about Upsolve AI?** Upsolve is a scaling organization and as a result sometimes we end up discovering limits with the way things work out of the box. The Upsolve team has always been responsive in addressing these however. **What problems is Upsolve AI solving and how is that benefiting you?** We needed a white-labeled analytics platform to round out our product offering. We weren't interested in re-building or coding a solution on our own. Upsolve gives us a enterprise grade solution with a point-and-click interface. ### 9. All-rounded analytics/BI platform **Rating:** 5.0/5.0 stars **Reviewed by:** Gwen . | Enterprise Customer Success Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** August 13, 2025 **What do you like best about Upsolve AI?** Upsolve AI allows a direct and straightforward way to achieve customer success. We can easily explain our product value through Upsolve’s analytics. **What do you dislike about Upsolve AI?** Not much at the moment, so far we are very happy with Upsolve. **What problems is Upsolve AI solving and how is that benefiting you?** It offer us a out-of-the-box capability for our users to create their own meaningful metrics and analytics ### 10. Essential for every Customer Success team **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Marketing and Advertising | Small-Business (50 or fewer emp.) **Reviewed Date:** August 13, 2025 **What do you like best about Upsolve AI?** Super fast insights across all my data. High quality visualisations that I can send to customers with no need for extra polish. The customer support is also excellent. **What do you dislike about Upsolve AI?** Sometimes the analysis can get quite complex and it's necessary to do a few iterations with the AI to get exactly what you need. **What problems is Upsolve AI solving and how is that benefiting you?** Upsolve AI allows for rapid iteration on deep technical analysis. It allows me to uncover valuable information I can share with my customers are bout their performance in my product and to boost their account value. ### 11. Best bang for your buck analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** August 12, 2025 **What do you like best about Upsolve AI?** Upsolve AI gave us a way to build outbound analytics easily. It frees my team to build features that are the most core to our business. **What do you dislike about Upsolve AI?** The platform is evolving very fast, so at times we need to catch up on the new features via doc to be able to use the platform to its full potential. **What problems is Upsolve AI solving and how is that benefiting you?** It frees my team and myself from needing to build analytics in house, and we get to dedicate our engineering resource to other core product features instead. ### 12. Makes analytics easy and gets us the insights we need **Rating:** 5.0/5.0 stars **Reviewed by:** Tunmise A. | User Experience Designer – Analytics Tools, Small-Business (50 or fewer emp.) **Reviewed Date:** August 12, 2025 **What do you like best about Upsolve AI?** Upsolve AI has totally changed how teams works with data. What used to take days to compile now takes only seconds, and it’s made decision-making so much easier. Even for people like me who aren’t really ‘data people' , it makes the whole analytics process feel simple. **What do you dislike about Upsolve AI?** No complaints so far , it’s been great in my experience **What problems is Upsolve AI solving and how is that benefiting you?** We need quick, clear insights from our data, and Upsolve AI delivers them instantly; without the chaos of jumping between different analytics tools. ### 13. Great analytics with a strong UX focus **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Market Research | Mid-Market (51-1000 emp.) **Reviewed Date:** August 03, 2025 **What do you like best about Upsolve AI?** We are using Upsolve to build analytics, and being an experience designer, it is important for it to fulfill our strict UX and UI requirements. Upsolve did that just for us. **What do you dislike about Upsolve AI?** To configure the UI, there are many different options. So it takes some time to understand all the possible features. **What problems is Upsolve AI solving and how is that benefiting you?** Our work requires a lot of research data gathering and then present it in a digestible manner. Upsolve AI makes that easy for us. ### 14. A quick way to illustrate industry trends for our energy projects **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Oil & Energy | Mid-Market (51-1000 emp.) **Reviewed Date:** August 03, 2025 **What do you like best about Upsolve AI?** We don't have a strong in-house analytics team, Upsolve AI allows us to quickly demonstrate energy project trend both internally and externally. **What do you dislike about Upsolve AI?** There isn't much I dislike about Uposlve AI. Overall, a great experience. **What problems is Upsolve AI solving and how is that benefiting you?** When building energy projects, we need to explain trends both internally and externally. We use Upsolve to generate those analytics and dashboards for both internal and external uses. ### 15. Comprehensive platform for behavioural analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Health, Wellness and Fitness | Small-Business (50 or fewer emp.) **Reviewed Date:** August 13, 2025 **What do you like best about Upsolve AI?** Upsolve allows me to focus on the data crunching part of my job and not the visualisation and interactive layer. **What do you dislike about Upsolve AI?** I don’t have many complaints, it balances technical and non technical aspects of the platform very well. **What problems is Upsolve AI solving and how is that benefiting you?** I get to easily provide a visualisation layer that sits on top of my data experiments for my data consumers. - [View Upsolve AI pricing details and edition comparison](https://www.g2.com/products/upsolve-ai/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-28+18%3A54%3A47+-0500&secure%5Bsession_id%5D=5127c333-0965-4eaa-a4dc-aa8293a41947&secure%5Btoken%5D=53b9e24625e06c7505b1fd1235621d31f7417b03f840c19ee6313b41cda0e770&format=llm_user) ## Upsolve AI Integrations - [Airtable](https://www.g2.com/products/airtable/reviews) - [ClickHouse](https://www.g2.com/products/clickhouse/reviews) - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - [MCP Server](https://www.g2.com/products/mcp-server/reviews) - [MySQL](https://www.g2.com/products/mysql/reviews) - [Postgres Pro](https://www.g2.com/products/postgres-pro/reviews) - [PostgreSQL](https://www.g2.com/products/postgresql/reviews) - [Redshift](https://www.g2.com/products/redshift/reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - [Supabase](https://www.g2.com/products/supabase-supabase/reviews) ## Upsolve AI Features **Reports** - Reports Interface - Steps to Answer - Graphs and Charts - Score Cards - Dashboards **Core Conversational Capabilities - AI Chatbots** - Controlled LLM Response Generation - Context Maintenance Within Sessions - Natural Language Understanding & Intent Inference **Reports** - Reports Interface - Share Reports - Steps to Answer **Data** - Reliability - Data Security **Generative AI** - AI Text Generation - AI Text Summarization **Customization - AI Agent Builders** - Natural Language Configuration - Tone Customization - Security Guardrails **Visualization** - Graphs and Charts - Score Cards - Dashboards - Formats **Interaction** - Complex Query Handling - Natural Conversation - Understanding - Context Management - Customizability **Functionality - AI Agent Builders** - Omni-channel Support - Agent Branding - Proactive Response Capabilities - Seamless Human Escalation **Task & Flow Management - AI Chatbots** - Scripted Dialogue & Decision Tree Support - Fallback Responses for Unknown Queries **Data Updates** - Historical Snapshots - Real-Time Updating **Learning** - User Interaction Learning - Error Learning **Data and Analytics - AI Agent Builders** - Analytics & Reporting - Contextual Awareness - Data Privacy Compliance **Customer Query Resolution - AI Customer Support Agents** - Automated Ticket Resolution - Contextual Response Generation - Sentiment Analysis - Knowledge Base Utilization - Multilingual Support **Agentic AI - AI Agents** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Deployment & Embedding - AI Chatbots** - API Access for Business System Integration - Web Widget & SDK Embedding **Collaboration** - Sharing - Co-Editing - Devices **Content Generation** - Creativity - Content Accuracy **Integration - AI Agent Builders** - Workflow Automation - API Usage - Platform Interoperability - CRM Data Integration **Customer Interaction Automation - AI Customer Support Agents** - Proactive Customer Outreach - Feedback Collection - Escalation Handling - Workflow Optimization **Self Service ** - Calculated Fields - Data Column Filtering - Data Discovery - Search - Collaboration / Workflow - Automodeling **Admin & Configuration - AI Chatbots** - No-Code Conversation Design **System** - API Flexibility - Update Frequency and Utility - Cross-Platform Compatibility - Software Integration **Advanced Analytics** - Predictive Analytics - Data Visualization - Big Data Services **Agentic AI - AI Chatbots** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs **Automation** - Customer Interaction Automation - Feedback Collection - Document Processing **Autonomy** - Independent Decision Making - Adaptive Responses - Task Execution - Problem Solving **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications **Monitoring & Improvement - AI Chatbots** - Feedback-Driven Response Optimization **Data Updates** - Historical Snapshots - Real-Time Updating - Email Reports **Reliability & Safety - AI Chatbots** - Guardrails & Content Controls ## Top Upsolve AI Alternatives - [ClickUp](https://www.g2.com/products/clickup/reviews) - 4.6/5.0 (12,329 reviews) - [Notion](https://www.g2.com/products/notion/reviews) - 4.6/5.0 (11,010 reviews) - [G2 Marketing Solutions](https://www.g2.com/products/g2/reviews) - 4.6/5.0 (5,287 reviews)