Data analytics startup Hex closed a $100 million Series D on October 27, valuing the company at $1.2 billion. The round, led by Peak XV and 137 Ventures with participation from Andreessen Horowitz, Redpoint, and Sequoia, comes alongside a full architectural rebuild designed for AI agents rather than human analysts.
Hex built its original product as a collaborative notebook for data teams — a shared environment where engineers and analysts could write SQL, Python, and visualizations side by side. The new version keeps that surface but replaces the underlying execution model with one where AI agents can run, test, and revise analytical work autonomously.
What the Rebuild Looks Like
The agent-native rewrite is structural, not cosmetic. According to Hex, the new architecture lets AI agents spin up computational cells, run queries against live data, verify whether results match the original question, and revise their own code — all without a human approving each step. The human role shifts to framing the question and reviewing the final output.
This is a significant departure from the "AI copilot" model that dominated analytics tools in 2023 and 2024, where AI suggested code that a human still had to write and run. Hex is betting that teams are now ready to trust an agent to execute the entire analytical loop — not just autocomplete it.
The Market Context
Hex isn't alone in this direction. Competitors like Mode Analytics and Sigma Computing have added AI-generation features, and enterprise data warehouse vendors like Snowflake and Databricks have built agent layers into their own products. The pitch Hex is making is depth: because it controls the notebook environment, the execution runtime, and the collaboration layer, agents inside Hex have access to session state that a plugin bolted onto an existing BI tool cannot replicate.
The round follows a $70 million Series C Hex raised in May 2025. The company says it serves more than 2,500 enterprise customers, though it hasn't disclosed revenue.
What Investors Bet On
Peak XV partner Rajan Anandan, co-leading the round, described Hex as "building the operating system for how data teams will work in the agent era." Whether that framing proves accurate depends on how quickly enterprises shift from AI-assisted to AI-led analysis — a transition underway but still early.
For developers and data engineers, the agent model offers a genuinely different working assumption: instead of AI helping you write a query, AI writes, runs, and debugs the query on your behalf while you focus on whether the answer is right. Hex's $1.2 billion bet is that the difference matters enough that teams will reorganize around it.
The company hasn't disclosed a timeline for the rebuilt platform's general availability, but the Series D funding and the architectural announcement together signal that Hex considers the product ready enough to compete for enterprise contracts on its new terms.