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Observe, evaluate and optimize your AI data extraction pipelines

Trace unstructured data flows with Datograde and evaluate them with human and AI feedback. Build AI data extraction pipelines faster and optimize them continuously.

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Observe

Trace how unstructured data gets structured in your AI pipelines

Get instant, end-to-end data visibility into how AI extracts your data—no complex setup. Visualise inputs like PDFs, tables, CSVs, RAG search results to refine your prompts and pipelines faster.

Screenshot of setting up inputs for a challenge
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Evaluate

Unified platform accelerating human and AI-driven evaluations

Human experts can score and comment on AI outputs, then track issues for every data extraction use case. Use schemas and data checks to automatically grade extracted data for accuracy and recall. Combine the best of both worlds to build trust at scale.

Optimize

Optimize trust in extracted data with customizable monitoring and review queues.

Get real-time AI monitoring with automated scoring. Track extracted data quality across projects with dashboards. Quickly optimize in development, then maintain trust at scale in production.

Screenshot of ongoing quality monitoring on Datograde

Build data extraction pipelines that your users trust.

Aside from the full experience, here are some free tools we've built along the way ↓

Upload

Upload datasets into Datograde to as a starting point for generating content and delivering data into your AIs.

Edit

Edit datasets manually, or use visual tools to perform common data operations like inserts, joins, and pivots.

Convert

Convert data points, records, and datasets from one format to another.

Prompt Engineering

Tools for creating and engineering prompts for large language models.

Validate

Automatic schema generation, data validation, and tools for manual data review and labelling.

Visualise

See your data to find mistakes and patterns easily.

Blog

Building a simple data tool is hard. Here are the lessons we learned along the way: