Debuly
DeepIQ logo

DeepIQ

No-code industrial DataOps platform with generative AI for time-series, geospatial and semi-structured data.

Contact sales

What is DeepIQ?

DeepIQ is an industrial DataOps platform for energy, mining, agriculture and other asset-heavy companies. Its DataStudio product uses drag-and-drop connectors to ingest industrial time-series, geospatial and semi-structured data in real-time or batch mode, then engineers it with ETL workloads and AI-driven contextualization that builds enterprise knowledge graphs. A generative AI layer trained on domain knowledge graphs lets subject matter experts explore data in natural language, with data and result lineage intended to limit hallucinations. DeepIQ runs as cloud-native SaaS on multi-cloud or hybrid setups, separates the control plane from the data plane so customers keep data ownership, and writes to AWS, Azure and GCP. The company reports SOC 2 Type 2 compliance and ISO/IEC 27001 certification. Pricing is not published.

Use cases

  • Ingest industrial time-series data
  • Build knowledge graphs from siloed data
  • Explore operational data in natural language
  • Connect IT and OT systems
  • Process 3D geospatial data for prediction
  • Feed an enterprise data lake

Who it's for

  • Energy and mining companies
  • Industrial data engineers
  • Subject matter experts
  • IT and OT teams

Why use DeepIQ

  • Lets domain experts query industrial data without writing code.
  • Reuses the cloud data lake you already run instead of moving data to a vendor tenant.
  • Reconciles siloed sources into a knowledge graph, so AI answers draw on connected context.
  • Reports SOC 2 Type 2 compliance and ISO/IEC 27001 certification for security reviews.

DeepIQ features

  • Drag-and-drop connectors for industrial sources
  • Real-time and batch ingestion of high-volume data
  • ETL support for time-series, geospatial and semi-structured data
  • AI-powered contextualization into knowledge graphs
  • Generative AI exploration in domain language
  • Data and result lineage
  • Sinks for AWS, Azure and GCP
  • Parallel computation and streaming support
  • Control plane and data plane separation

DeepIQ integrations

  • AWS
  • Azure
  • GCP

How to get started with DeepIQ

  1. Connect industrial time-series, geospatial and semi-structured sources with drag-and-drop connectors.
  2. Ingest the data in real time or in batches into your cloud platform.
  3. Engineer and contextualize it, building a knowledge graph across sources.
  4. Ask questions in natural language and review answers with lineage.
  5. Scale workflows on your preferred cloud or an on-premise platform.

DeepIQ limitations

  • Pricing is not published; contact the vendor for a quote.
  • Aimed at enterprise industrial users rather than individual analysts.

DeepIQ pricing

DeepIQ is sold on custom quotes, so its prices aren't published.

Prices can change and may vary by country or exclude tax. Check the official pricing page.

DeepIQ alternatives

The main DeepIQ alternatives listed on Debuly are Databricks, HEAVY.AI, Lovelace, Firemetrics, Stagehand and Weaviate. The table compares pricing and platforms; order is A–Z.

DeepIQ compared with its alternatives
ToolPricingStarting pricePlatforms
DeepIQContact sales—Web
DatabricksFree trial—Web
FiremetricsContact sales—API, Self-hosted
HEAVY.AIFreemium—Web, Linux, Self-hosted
LovelaceContact sales——
StagehandOpen source—API
WeaviateFreemium$45/moWeb, Self-hosted
  1. Databricks

    Data and AI platform for data engineering, warehousing, governance, dashboards and AI agents, billed by usage on AWS, Azure and GCP.

  2. Firemetrics

    FHIR-native clinical data repository for hospitals with SQL access, an MCP server and a local AI assistant.

  3. HEAVY.AI

    GPU-accelerated analytics database and visual analytics platform for large geospatial and time data, with natural-language queries.

  4. Lovelace

    Lovelace builds Elemental, a context engine that turns enterprise data into knowledge graphs for AI agents.

  5. Stagehand

    Open-source SDK from Browserbase for building browser agents with act, extract and observe calls in TypeScript, Python or Go.

  6. Weaviate

    Open-source vector database with hybrid search and a managed Weaviate Cloud for semantic search, RAG and recommendations.

DeepIQ FAQ

How much does DeepIQ cost?

No prices are published. Contact DeepIQ through its website for a quote.

Is there a free plan for DeepIQ?

No free plan is listed on the site.

Which clouds does DeepIQ work with?

It supports sinks for AWS, Azure and GCP and runs in multi-cloud or hybrid environments.

Who is DeepIQ for?

Industrial enterprises, particularly in energy, mining and agriculture, that need to combine OT and IT data and give experts AI-driven access to it.

What are alternatives to DeepIQ?

Related industrial data platforms include AVEVA Connect, Cognite Data Fusion, Seeq and Databricks.

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

SourceTypeAccessed
deepiq.com/official
deepiq.com/pricingpricing
deepiq.com/whitepaper/deepiq-whitepaper-datastudio-vs-aveva-connect/official

Image credits

  • Logo: from deepiq.com · fetched · Vendor trademark, used only to identify the product; removed on request
  • Cover: none collected yet, so a generated tile is shown.

Spot an error? Report an issue with this listing. We also remove a logo or image on the owner's request.