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How Ana Supercharges Business Intelligence at Scale AI
"With TextQL, our analysts can now focus on high leverage tasks and the most challenging problems."
Heqing Huang, Head of Analytics
1.9T
Rows across tables handled
>50%
Scale's DBT code reviewed by Ana
42
Active playbooks querying warehouses
+74.9%
Organic monthly adoption
About Scale AI
A software company providing data labeling and development tools for artificial intelligence.
Industry
Software services
Company Size
~1,200 employees
Headquarters
San Francisco
Challenge
More clarity, more confidence, in less time.
- By mid-2025, Scale was operating a marketplace of hundreds of thousands of expert contributors across 73 countries, generating millions of data points daily to power the world's AI models.
- The data that drove decision-making – contributor performance metrics, project timelines, and marketplace trends – was dispersed across data sources with constantly evolving requirements. With data scientists providing multi-stakeholder support across finance, growth and human resources, Scale needed a way to supercharge business intelligence cycles without sacrificing speed, accuracy, or bandwidth.
- Traditional analytics workflows could not keep up. At the same time, Scale needed answers to questions like:
- What supply constraints will we face three months from now?
- How do project delivery metrics compare week over week?
- What is our spend efficiency across campaigns?
- Can we generate a report for this week's executive review by tomorrow?
Solution
Solution
Better data tooling for technical and non-technical teams
TextQL integrated Ana with Scale's data ecosystem and internal tools (Tableau, Snowflake, BigQuery, Github, Redash, among others) to deliver a single user interface that operationalizes workflows and answers complex questions for every member of the analytics team. With champions of Ana catalyzing organic growth, Ana expanded into Scale's finance, growth, supply operations, and human resources teams. With TextQL, Scale shifts their data ecosystem away from coexisting disparate tools towards holistic, platform-agnostic intelligence.
"The traditional BI players – Tableau, Snowflake – are not innovating as fast as these new tools that add value to our business."
Heqing Huang, Head of Analytics
Impact
More clarity, more confidence, in less time.
1.9T
Rows across tables handled
>50%
Scale's DBT code reviewed by Ana
42
Active playbooks querying warehouses
+74.9%
Organic monthly adoption
Automated weekly reporting
Ana delivers breakdowns on supply capacity, demand forecasting, and contributor performance directly into Slack channels. These reports include project health metrics, contributor retention analysis, and spend efficiency.
Dynamic dashboards in minutes
Any user can build a fully functioning, complex dashboard from scratch in under 45 minutes and schedule it to refresh automatically. What once required days of back-and-forth with the data team now happens in a single sitting.
On-demand business questions
Ana provides instant responses to exploratory analysis, scenario planning, and root cause investigations, including ad hoc requests from Scale's executives on project timelines and marketplace dynamics.
Code-level transparency
Ana traces through data models and SQL logic to explain how metrics are constructed, enabling stakeholders to understand the analysis without intervention.
"I suggest you try TextQL on your messiest datasets, hook it up with your worst codebase and documents, and ask the most complicated question that actually drives your business."
Heqing Huang, Head of Business Intelligence & Analytics
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