Feed your AI with better data

Ingest, enrich, and transform multi-modal data into high-quality,
AI-ready data assets — at speed and scale.

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Data pipelining, reimagined for AI

Unify all your data—wherever it lives

  • 250+ ready-to-use connectors for databases, files, apps, and more
  • 200+ operators to transform, join, enrich, and orchestrate pipelines
  • Support for structured, unstructured, real-time, and batch data
  • Built to handle scale, heterogeneity, and complexity

Prepare data for AI, at speed and scale

  • Metadata-aware, AI-ready connectors for smarter ingestion
  • Parse data from emails, HTMLs, PDFs—including multi-page, multi-column content
  • Out-of-the-box functions for transcribing, encoding, chunking, and embedding
  • Multi-modal data processing and integration for AI

Use AI inline to generate intelligence

  • Apply AI to streaming or static data—avoid multi-tool, multi-stage, multi-discipline approaches
  • 200+ operators to transform, join, enrich, and orchestrate pipelines
  • Plug in any AI service—OpenAI, Vertex, Bedrock, Anthropic, and more
  • Bring your own models via MLflow, Python, NIM, or custom runtimes
  • Built-in functions for classification, summarization, entity extraction, and more

Deliver high-quality, AI-grade data assets

  • Profile data, apply quality rules, and build trusted data assets for downstream use
  • Parse data from emails, HTMLs, PDFs—including multi-page, multi-column content
  • Ensure accuracy, consistency, and freshness across all data assets
  • Auto-generate rich metadata to enable discovery, lineage, and explainability
  • Promote reuse and control with asset versioning, validation, and ownership

Build your way—NL,
drag and drop, or code

GathrIQ: Data+AI Copilot

  • Discover data assets and auto-generate metadata using NL
  • Profile, prepare, and transform data using simple prompts
  • Build data pipelines effortlessly using NL
  • Use prompts to generate code (Python, SQL, Scala etc.), expressions, and more
  • Get dashboard recommendations, build visualizations, and orchestrate data to insights applications

No-code/low-code application studio

  • Drag-and-drop canvas to build, deploy, and manage applications
  • 250+ connectors
  • 200+ data processors
  • 50+ built in AI/ML functions
  • Plug-and-play operators for AI integrations

Coding

  • Code in Python, SQL, Spark, Java
  • Write, test, and debug Python, SQL, or Java directly within your flows
  • Use inline notebooks for exploration, tuning, and iterative development
  • Orchestrate custom pipelines and deploy analytical and AI applications at scale

Data+AI starter kits

Save hours of engineering effort using out of the box templates and blueprints for ingestion, SCD, RAG, document ingestion, knowledge graphs, and more.

End-to-end data pipelining for every use case

 

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Unrivalled performance
at real-world scale

We help organizations across industries optimize price-performance, get ahead faster, and drive impact at scale.

1.5Mn

events processed per second for a law enforcement agency

10B+

events analyzed per year for a Fortune 500 bank

90%

TCO savings for a Fortune 500 financial services company

45x

faster data retrieval for a Fortune 100 airline

12x

faster time to insights for a leading marketing agency

8x

faster time to production for a Fortune 500 bank

Accelerate data processing powered by the NVIDIA stack

Process and transform high-volume data up to 10x faster with NVIDIA RAPIDS. Outperform CPU-only environments with Gathr.ai’s built-in GPU acceleration.

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See Gathr.ai in action

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Trusted by the world's
most ambitious businesses