AI Data Analytics platforms leverage artificial intelligence to transform raw data into actionable insights. These tools combine advanced analytics, machine learning, and visualization capabilities to help organizations understand patterns, predict trends, and make data-driven decisions.
26 verified AI-first sites in Data Analytics.
Last reviewed .
Visual data exploration platform that pairs a fast analysis UI with AI-assisted agents. Teams load datasets and look for patterns, topics, and sentiment without standing up a full BI stack. Typical work includes customer feedback, surveys, and social analytics as well as ordinary tabular exploration.
Pricing: Plans on site; contact Graphext.
Enterprise platform for building and operating AI, combining visual and code workflows for data prep, models, and agents. Data and business teams share one governed workspace that covers the ML lifecycle plus orchestration. Dataiku sells it as the system that turns AI projects into production outcomes rather than a notebook-only stack.
Pricing: Free trial available. Enterprise: Custom pricing based on needs.
Agentic data management platform for quality, observability, lineage, and catalog so enterprises can trust warehouse data used in analytics and AI. It monitors pipelines for freshness, schema drift, and anomalies, then alerts when validation fails. The product is warehouse-native rather than a separate rules engine you maintain by hand.
Pricing: Free trial. Pro: Custom pricing. Enterprise: Contact sales.
SeerAI connects enterprise systems across space and time so operations data can be queried with its spatial and temporal context intact. Geodesic federates sources such as warehouses, sensors, and GIS without copying them, then applies an ontology of team rules to those records. Teams ask in plain English and get a semantic answer with numbers, aimed at physical-world operations rather than a generic BI dashboard.
Pricing: Contact for pricing. Enterprise solutions available.
Enterprise data and agentic AI platform for manufacturers, distributors, and retailers. Teams unify existing data, ask questions in natural language, and build AI agents that act only after a person approves. The product is positioned as connect, ask, and act rather than a standalone dashboard suite.
Pricing: Custom enterprise pricing. Contact for demo.
Predictive AI agent for business teams that builds models for churn, lifetime value, demand forecasting, and lead scoring. It prepares the data, deploys the model, and serves real-time predictions. The company reports about 90% model accuracy and 8x faster time to a deployed model.
Pricing: Pay-per-outcome model with commitment-free plans, custom pricing based on prediction volume and use case
Chrome and Edge extension that turns web pages into spreadsheets, then analyzes and visualizes the table in chat. It targets reviews, listings, and social comments, and also accepts CSV or Excel files. The spreadsheet engine is built on open-source Univer, and Product Hunt named it Product of the Day and Week.
Pricing: Free start with credits; paid plans on site.
SQL-native ontology and semantic layer that gives AI agents governed business context over enterprise data. It maps raw tables, such as SAP purchase-order columns like EKPO and NETPR, to business concepts, metrics, and rules so agents query data the way the organization intends. Solomon, its AI ontology author, profiles tables, proposes concepts and relationships, and builds the ontology only after the user approves its plan.
Pricing: Enterprise pricing. Contact for custom solutions.
Turns PDFs, scans, spreadsheets, and 50+ other file types into structured data for RAG and AI agents. Unstructured Transform runs via API or MCP, with an open-source library plus a production API billed per page and VPC options on AWS and Azure. The enterprise platform adds connectors and job scheduling for teams feeding models from internal documents.
Pricing: Free: 15,000 pages. Pay-as-you-go: $0.03/page. Business: Custom (VPC, dedicated instance, multi-tenant).
DataLab: AI-powered analytics for business teams. Ask data questions in plain English; get instant answers, charts, and recommendations. Connects to Snowflake, Databricks, BigQuery, CSV. No SQL required. Alkemi for Slack agent. Ecommerce, marketing, customer success use cases.
Pricing: Contact for pricing.
AI business analyst for finance, operations, and analytics teams. Connects to ERPs, spreadsheets, and data warehouses (SAP, NetSuite, QuickBooks, Snowflake, BigQuery, Excel, Salesforce) without data engineering. Learns business context, org structure, and industry. Provides variance analysis, gross margin breakdown, forecasting, anomaly detection, pricing optimization, and management reports. Carlex unlocked $12M profit; &pizza saved 30+ hrs/week. $8.7M seed from General Catalyst.
Pricing: Contact for pricing. Free proof-of-concept on your data; setup in hours.
Data and AI observability for production pipelines and agents. Monitors freshness, volume, schema, and quality; visual lineage and impact analysis; alerting and root-cause workflows; agent observability to trace inputs and outputs across LLM and analytics workloads. Targets data platform teams hardening analytics and AI systems together.
Pricing: Enterprise; demo and custom pricing; see site.
Agentic analytics platform built on an open-source semantic layer (Cube Core) for governed metrics across dashboards, embedded apps, and AI agents. SQL-first modeling with pre-aggregations, row-level security, and APIs over Snowflake, BigQuery, Redshift, and Databricks including MCP server support. Apache 2.0 core with cloud and enterprise tiers.
Pricing: Open-source core free. Cube Cloud and enterprise plans; see cube.dev/pricing.
AI-native data platform combining 500+ connectors, Iceberg lakehouse storage, semantic modeling, BI, and Fi analyst agent in one stack. Fi writes SQL, builds dashboards, and runs automations; native MCP connects Claude, Cursor, and other agents to governed metrics. Credit-based pricing for startups replacing multi-vendor warehouse + ETL + BI stacks.
Pricing: Free tier. Paid from about $250/mo; enterprise and private cloud on site.
Context layer for production AI agents, built around a Business Graph of metrics, ownership, and definitions. It reads from warehouses, CRM, and docs, then gives agents governed access and a tool layer so they can answer and act with an audit trail. Agentic analytics, automated reviews, and in-flow answers run on that infrastructure rather than as the whole product.
Pricing: Team and enterprise plans; contact for pricing.
Open-source data platform that covers ingestion, SQL and Python transforms, quality checks, and lineage in one CLI and cloud. An AI data analyst, dashboards, and scheduled agents sit on that same stack so teams are not gluing six vendors together. Customer stories on the site cite warehouse-cost cuts and faster time to insight versus a Fivetran-style stack.
Pricing: See Bruin for current plans and trials.
AI data analyst and text-to-SQL toolkit for warehouse and CSV questions, with hosted and embedded options. It is powered by SQLCoder, Defog's own specialized model for querying structured data, which the company open-sourced in 2023 and reports more than 300,000 downloads. SQLEval is its open-source benchmark for measuring text-to-SQL accuracy, and the site states that customer data is never shared with the model.
Pricing: Open-source and commercial options-see Defog.
AI data analyst spreadsheet that connects live sources, cleans data, and answers questions in natural language. Built for business teams who want analysis without SQL or notebook setup. Charts, automations, and shared workbooks on connected data.
Pricing: Free and paid plans; see Rows pricing.
AI data agent for verifiable enterprise analysis that connects to warehouses and databases without a pre-built semantic layer. It plans multi-step work with RAG and InfiniSQL, an SQL dialect the company says is optimized for large models, and leaves an evidence trail instead of a single opaque query. A CLI and skill let Codex, Claude Code, Cursor, and Gemini call the same agent, with native desktop apps and private or air-gapped deploy.
Pricing: Enterprise plans; contact InfiniSynapse.
Collaborative AI canvas for deep research and analytics. Ask questions in natural language, then inspect and share multiplayer canvases where every answer shows its work. Built for analysts and teams moving from data to decisions together.
Pricing: Free and paid plans; see Count pricing.
Agentic autonomous data platform that monitors quality, investigates issues, and surfaces insights without manual rules. Nine specialized agents cover observability, KPI monitoring, conversational analytics, and documentation for enterprise warehouses.
Pricing: Enterprise plans; contact Anomalo.
AI operators assigned to business KPIs. Each one watches a metric, investigates what moved, and acts inside the team's goals and guardrails, with evidence attached. Tractor Supply is a named customer; Augmeta reports $13M+ modeled annual impact from a Fortune 500 deployment and 100+ KPIs under continuous operation.
Pricing: Contact Augmeta for deployment.
AI data analyst that answers business questions in plain language from Slack, Teams, email, or its web app. It runs root cause analysis on metric changes, sends scheduled reports and alerts, and shows the query and sources behind every answer. A context agent learns business definitions with human approval, and Dot reports benchmark results on 450+ Adyen financial analysis tasks (DABStep) with customers such as Duolingo and Choco.
Pricing: Pro $180/month (150 credits); Team $720/month (800 credits); Enterprise custom.
Maker of Orion, an autonomous AI analyst that connects to BigQuery, Snowflake, Databricks, Looker, Postgres, and dbt and learns business definitions from a Knowledge Base synced with Notion, Confluence, and GitHub. Orion investigates metric changes on its own and delivers reports, slide decks, and interactive dashboards on a schedule through Slack, Teams, Google Chat, and email. It can also be embedded as a white-label analyst inside other products and is available as a connector in Claude and Gemini Enterprise. Gravity was founded by former Google and Looker leaders and raised a $7M seed round in April 2026.
Pricing: Demo-led setup; contact Gravity for pricing.
Local desktop data agent that answers natural-language questions over CSV, JSON, and Parquet files or warehouses such as Snowflake, BigQuery, Postgres, and ClickHouse. Every figure the agent reports is checked by deterministic validators against the computation traces its engine actually ran, and outputs that fail are rejected for revision. Analysis runs on DuckDB on the user's machine so data stays local, with only metadata and statistics sent to the model, plus a GPU-accelerated plot engine for very large datasets. It launched in public preview in June 2026 with a $9M seed round led by Andreessen Horowitz and Accel.
Pricing: Data Intern free; Data Pro $399/month; Data Scientist $1,499/month; Data Team custom.
AI analyst that reads connected data and builds finished, editable reports, decks, and Excel analyses from it, instead of leaving users to assemble slides by hand. Every number is traceable to the exact source cell, row, or formula, and outputs update when the source data changes. Templates cover investment memos, customer QBRs, pipeline and forecast reviews, and paid media reviews, with export to PowerPoint, Excel, Word, and PDF. The company raised a $5M seed round in March 2026 and reports 700+ users.
Pricing: Free 100 credits/month; Plus $24/month (200 credits); Enterprise custom.