Hex
AI-native analytics for data teamsCollaborative notebook and data app platform with agentic AI for SQL, Python, and R analytics workflows.
- Maker
- Hex Technologies, Inc.
- Founded
- 2019
- Pricing
- Free tier
- Last checked
- October 2026
Verdict
Collaborative notebook and data app platform with agentic AI for SQL, Python, and R analytics workflows.
Score breakdown
This agent leads its categoryData analysts and data teams who want collaborative Python/SQL notebooks with embedded AI and shareable data apps
Key features
- Notebook Agent: natural language AI that generates and edits SQL and Python cells with full project and schema context
- Threads: conversational interface for non-technical stakeholders to query data without writing code
- Hex Magic: inline AI autocomplete for SQL, Python, and R with error explanation and join suggestions
- Generative Apps: describe a dashboard or data app in natural language and have an agent build it
- Modeling Agent: AI-assisted semantic model creation against warehouse tables
- Version history, branching, and collaborative editing on shared notebooks
- Scheduled runs and alerts for automated report delivery
- Native connectors to major cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks)
Strengths
- +Powerful AI agents for SQL and Python — Hex Magic and Notebook Agent understand schema context and project history
- +Threads feature lets non-technical users query data in plain English without touching code
- +AI providers operate under zero data retention agreements — customer data is not used for model training
- +Polished data app publishing turns notebooks into shareable interactive dashboards without separate tooling
- +Raised $70M Series C (May 2025), indicating strong financial runway and continued product investment
Weaknesses
- −Per-editor pricing ($36–$75/month) compounds quickly for larger teams; viewer seats are separate
- −Notebook-first paradigm requires SQL or Python literacy to get full value — AI assistance helps but does not eliminate the learning curve
- −Deeper BI capabilities (complex dashboards, enterprise semantic layers) still lag behind Looker or Tableau
- −Compute costs are additive and billed by the hour, making cost forecasting less predictable
Overview
Overview
Hex is a collaborative data workspace built by Hex Technologies, Inc., founded in 2019 by Barry McCardel (CEO), Caitlin Colgrove (CTO), and Glen Takahashi — all former Palantir employees. The platform combines Python, SQL, and R notebooks with a publishing layer for shareable data apps, and has built a comprehensive agentic AI layer on top.
The core product is a browser-based notebook environment where data analysts write code cells and mix in markdown, visualizations, and interactive inputs. What distinguishes Hex is the depth of its AI integration: the Notebook Agent can autonomously generate and edit analysis logic with awareness of warehouse schemas and project history, while Threads provides a natural-language query interface for non-coders. A Fall 2025 launch added several new agent capabilities, including a Generative Apps agent that constructs entire dashboards from a plain-language description.
Hex raised a $70M Series C in May 2025, bringing total funding to over $130M. The platform is used by data teams at companies ranging from Series A startups to large enterprises. AI providers used by Hex operate under zero data retention agreements, so customer data is not fed back into model training — a meaningful differentiator for teams with sensitive data. Pricing is per-editor, with a free Community tier available for individuals and small projects.
Key Benefits
- Contextual AI assistance: Hex Magic and the Notebook Agent have access to live warehouse schemas and existing project code, producing more accurate suggestions than generic code assistants.
- Bridging technical and non-technical users: Threads allows analysts to publish a single project that stakeholders can query conversationally, reducing ad hoc data requests.
- Integrated app publishing: Notebooks convert directly into interactive data apps without a separate tool, shortening the path from analysis to decision-maker.
- Data privacy by default: Zero data retention agreements with AI providers are in place by default, not just as an enterprise add-on.
Use Cases
- Exploratory data analysis — Data analysts use SQL and Python cells alongside the Notebook Agent to investigate datasets, iterate quickly, and document findings in one place.
- Self-serve analytics for business teams — Analysts publish data apps or expose Threads so finance, marketing, or operations staff can answer their own questions without filing tickets.
- Automated reporting — Scheduled notebook runs and alert triggers replace manual report preparation and notify stakeholders when key metrics cross thresholds.
- Semantic model development — The Modeling Agent assists data engineers in building and maintaining governed semantic layers that downstream consumers can query safely.
Pricing
Checked October 2026 · USD- Up to 5 projects
- Basic Python, SQL, and R notebooks
- Limited AI credits
- Publish up to 5 data apps
- Unlimited projects
- Scheduled notebook runs and alerts
- Full Hex Magic AI assistance
- Increased compute credits
- Priority support
- Everything in Professional
- Unlimited version history
- Visual exploration (no-code filters and pivots)
- Enhanced security and access controls
- Notebook Agent and Threads agents
- Everything in Team
- HIPAA compliance and advanced governance
- Single-tenant deployment option
- Dedicated customer success manager
- SSO, audit logs, and custom SLAs