The LangChain data team replaced their old BI tool with Hex to power an agent-first data stack. By embedding models, metric definitions, business context, and trust signals, the data agent now handles about 40× more queries while the team focuses on high-impact projects.

• LangChain replaced its BI tool with Hex, combining notebooks, dashboards, and a conversational agent accessible via UI, Slack, CLI, and MCP
• Rich dbt model documentation plus a semantic layer defining key metrics let the agent generate trustworthy, company-aligned SQL and analysis
• The agent now handles ~40x the query volume the 3-person data team could manage, with ~2,200 conversations/month (23 per user) across a third of the company
• Freed from routine queries, the data team now focuses on refining models, adding guardrails, and tackling higher-leverage analytical work

Hex built a suite of analytical evals to test data-analysis models and found Claude Fable 5 outperforms its Opus 4.x predecessors by 10–15%, nailing both semantically modeled and raw-data tasks with fewer mistakes. They’ve also designed a tougher “Frontier” benchmark for long-horizon, open-ended scenarios, where Fable 5’s careful assumptions and cross-checks boost its pass rate to around 58%.

• Claude Fable 5 beats Opus 4.7 by 10-15 points on Hex's core benchmarks, scoring 93%+ on Analytical Hard/Semantically Modeled tests and 65% on Semantically Unmodeled tasks, versus prior Opus versions' single-digit gains
• Fable's advantage comes from following a "golden workflow" (starting in the semantic layer, cross-checking raw SQL) and transparently stating assumptions, which lets it catch errors like a cents-for-dollars mistake that Opus misses
• On Hex's new "Frontier" benchmark for long-horizon, open-ended tasks, Fable at Max Effort hits 58% pass rate, notably outperforming other setups

Hex is a unified analytics tool that lets technical and non-technical teams query data, build reports, and deploy dashboards using AI-powered agents. It integrates with common data warehouses, dbt metadata, and offers APIs and Slack/Threads embeds to break down silos. Users cite faster insights, self-serve analytics, and significant revenue impact.

• Hex uses AI agents (Notebook Agent) to auto-generate SQL, charts, and dashboards, cutting report-building time from days to hours.
• Customer claims include one company saving over $100 million and an engineer reporting being "10x faster."
• The NexaCorp sales figures (Teleportation pads, Quantum drives, etc.) are fictional demo data, not real customer results.
• Companies like Notion, Figma, and Mercor use Hex to let non-technical staff self-serve analytics without writing code.