Hex Technologies
Hex empowers data teams to explore, analyze, and share insights through a collaborative, AI-powered workspace that combines SQL, Python, R, and no-code workflows in a unified platform.
At a Glance
- Data teams and data scientists
- Business analysts
- Product teams
- Marketing teams
- +8 more
AI Tools by Hex Technologies
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Hex
AI Data Notebooks and Analytics
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Latest News
Fall 2025 Launch: Agents, for analytics, for teams - Released Threads conversational analytics, Sonnet 4.5 integration, and enhanced semantic modeling
Hex raises a $70 million Series C to double down on data in the AI era
Hex Acquires Hashboard to Accelerate the Future of Data Insights
Hex Launches Consulting Partner Program to Revolutionize Data Analytics Collaboration
Products & Services
Collaborative AI-powered data workspace for analytics and data science. Combines SQL, Python, R, and no-code workflows in a unified platform for exploratory analysis, building interactive data apps, and sharing insights.
Major platform update featuring a reactive compute model to make work reproducible and performant, enabling users to run code in any order while maintaining dependencies.
Generative AI assist tool for auto-querying, debugging, code explanations, and generating SQL from natural language prompts. Integrated AI that augments data workflows.
Conversational analytics interface using natural language for answering data questions. Agent-driven interface that pulls context from data connections, projects, and semantic models to provide accurate insights.
Market Position
Hex positions itself as the unified, AI-powered platform for data science and analytics that bridges the gap between technical and non-technical users. Unlike traditional tools like Jupyter Notebooks (which lack collaboration and sharing), legacy BI tools like Tableau and Mode (which are less flexible for technical users), or fragmented point solutions, Hex offers an integrated workspace combining notebooks, BI, data apps, and AI agents in one platform. Key differentiators include real-time collaboration, AI-powered assistance (Hex Magic, Threads), ability to seamlessly blend SQL/Python/R with no-code interfaces, reactive compute model, and deep integrations with the modern data stack (Snowflake, Databricks, dbt). Hex emphasizes being the collaborative layer that makes data work shareable and governable while remaining flexible for power users.
Leadership
Founders
Barry McCardel
CEO and Co-Founder. Previously worked at Palantir Technologies and TrialSpark as Senior Director of Operations & Strategy. Has been involved in data science since college, where he worked with R scripts and datasets. Met his co-founders at Palantir.
Caitlin Colgrove
CTO and Co-Founder. Previously worked as a software engineer at Palantir Technologies and Remix. Has spent her career building data analytics tools. Holds a Master's Degree in Computer Science.
Glen Takahashi
Chief Architect and Co-Founder. Previously worked as an engineer at Palantir Technologies where he met his co-founders.
Executive Team
Barry McCardel
Co-Founder & CEO
Previously worked at Palantir Technologies and TrialSpark as Senior Director of Operations & Strategy. Involved in data science since college.
Caitlin Colgrove
Co-Founder & CTO
Previously worked as a software engineer at Palantir Technologies and Remix. Career focused on building data analytics tools. Holds a Master's Degree in Computer Science.
Board of Directors
Founding Story
Hex was founded at the end of 2019 by Barry McCardel, Caitlin Colgrove, and Glen Takahashi, who met while working at Palantir Technologies. While working at a healthcare startup, McCardel noticed that despite having a modern data stack, data teams' workflows remained fragmented across one-off SQL scratch pads, Jupyter Notebooks, and spreadsheets. After searching for an existing solution and finding none, the three co-founders decided to build Hex themselves. They aimed to solve the 'sharing gap' in data work—the lack of collaborative tools for modern data teams to share their work, which led to reliance on static PDFs, screenshots, and fragmented files. Their vision was to build a collaborative platform enabling data scientists to work together to deliver insights while empowering business users to find answers, creating a professional way for teams to work together and share results in real-time.
Business Model
Revenue Model
Seat-based subscription pricing with usage-based compute charges. Revenue generated through monthly/annual subscriptions for editor seats across multiple pricing tiers (Community, Professional, Team, Enterprise) plus pay-as-you-go charges for compute resources beyond included allocations.
Pricing Tiers
Aimed at hobbyists and small projects. Includes basic features with 7-day version history. Free Extra Small, Small, and Medium compute profiles.
Aimed at individuals and solo workflows. Includes AI agents, standard features, and Medium compute included. Free for students/educators.
Aimed at company collaboration and automation. Includes 14-day free trial, advanced collaboration features, unlimited version history, scheduled runs, integrations, and Medium compute included.
Aimed at organizations requiring advanced security and governance. Includes priority SLA, Slack/Teams support, live training, dedicated customer engineers, OIDC SSO, user groups, audit logs, single tenant and HIPAA add-ons available.
Target Markets
- Data teams and data scientists
- Business analysts
- Product teams
- Marketing teams
- Finance teams
- Engineering teams
- Exploratory data analysis
- Data science and ML model development
- A/B testing analysis
- Interactive dashboards and reporting
- Data storytelling
- Self-serve business intelligence
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