Built for OT and digitalization teams

Industrial AI fails without OT data. We fix the foundation.

Aditum Data is a no-code ETL built for OT data, connecting OPC UA and PI Historians to Cognite CDF and enterprise data platforms. Deployed behind your firewall. Production-ready in minutes.

Talk to an Industrial Data Architect →
Aditum DataWintershall DEA
Press release
"
Digitalization is a strategic priority at Wintershall DEA. Working with Aditum Data allows us to onboard more assets faster and at a lower cost.
Ulrich LorangVP of Data Governance, Data Science and Data Hub at Wintershall DEA
Read the press release →
Wintershall DEA offshore production platform
Customer experience

What an OT team running CDF had to say.

OT Architects responsible for enterprise CDF pipelines share their experience.

Jasem ElayebOT Architect & Cognite CDF Product Owner · European Energy Operator
"
We reduced asset onboarding from weeks down to five minutes.
— Jasem Elayeb, OT Architect & CDF Product Owner
"
We now have complete ownership of our data pipelines.
— Jasem Elayeb, OT Architect & CDF Product Owner
Core capabilities

Built for OT teams running industrial protocols at scale.

Five capabilities that move OT data from the plant to the data platform without engineering bottlenecks.

Industrial-native connectors

High-performance direct connectors, not generic APIs, built on the industrial protocols running in production environments.

  • OPC UA
  • Modbus TCP
  • MQTT
Consistent, reliable access to field data without custom integration work.

Pipelines in minutes

A no-code builder that removes scripting and integration bottlenecks for your:

  • OT teams
  • Operations teams
  • Data teams
No Python. No SQL. No dependency on integration teams.

Designed for high-volume data

Handles the realities of industrial data at scale:

  • High-frequency tags
  • Large historian extractions
  • Continuous multi-site streams
Optimized for load spikes, backfill, and long-running OT workloads.

AI-driven pipeline editing

Make pipeline changes instantly, just by describing what you want. Pipeline changes are applied through AI agents that execute controlled, auditable updates, without scripting. Changes are staged and require explicit approval before being applied to production.

  • Transformations
  • Filters
  • Mappings & renames
Controlled, auditable, reversible pipeline changes.

Deployed behind your firewall

Runs behind your firewall and streams OT data securely to any cloud destination.

  • Native connectors for OPC UA, Modbus TCP, and MQTT
  • Deploy on Azure, AWS, or GCP
Operates entirely under your security, identity, and governance controls.
Use case

Standardizing OT data onboarding at enterprise scale.

How a Tier-1 European energy operator enabled OT and data teams to build and own Cognite CDF pipelines, securely, with explicit control over routing, and without external engineering.

"We created working use cases in five minutes — it really was five minutes."— Jan Kaluza, OT Architect, Data Hub & Governance
Jan KaluzaOT Architect, Data Hub & Governance · European Energy Company

Teams served

  • Facility Engineering
  • Operations & Production
  • Data Science & Analytics
  • Digital Product Teams

Typical data sources

  • Historians (PI & equivalents)
  • Files & File Shares
  • Databases
  • Event Hub / IoT streams

Primary destinations

  • Cognite Data Fusion (CDF)
  • InfluxDB
  • Customer-approved internal systems

Proven scale

  • Multi-asset deployments
  • Tens of millions of data points per day
  • Production workloads
Architecture

How Aditum Data operates in production.

Aditum Data runs inside your environment and functions as a controlled extraction and routing layer, giving you explicit control over how OT data moves to internal systems or customer-approved platforms such as Cognite CDF, InfluxDB, or Snowflake.

Runs inside your environment

Aditum Data is deployed within your network or customer-managed cloud. OT data is accessed and processed entirely under your existing security, identity, and governance controls.

Routes data under explicit control

OT data is routed either to internal systems inside your firewall or to externally hosted platforms that have already been approved by your organization. Routing is explicitly defined, auditable, and controlled by your teams.

Operates as production infrastructure

Pipelines are observable, predictable, and governed, designed to run continuously as part of your data platform, not as one-off integrations. Monitoring, ownership, and lifecycle management remain with your OT and data teams.

Scales without pipeline proliferation

Standardized extraction and routing patterns allow new assets to be onboarded using the same production pipeline structures. Scaling across sites and regions does not introduce new scripts, asset-specific pipelines, or additional engineering overhead.

FAQ

Common questions from OT & data teams

Will this work with our legacy OT systems?
Aditum Data connects to legacy OT systems using native industrial protocols such as OPC UA, Modbus TCP, MQTT, and on-prem historians. Our connectors are implemented for industrial protocols to ensure reliable integration with older systems.
Can we run this fully on-prem?
Aditum Data can be deployed behind your firewall (on-prem), in your own cloud, in a cloud of your choice, or in Aditum Data's managed cloud (billed by usage). Deployment, access, and governance are configured to meet your security and compliance requirements.
How much engineering effort is required to maintain pipelines?
Minimal. Pipelines are built visually in a no-code interface, and changes can be made by describing what you want in plain language using an AI agent. Most maintenance tasks that previously required Python or SQL scripts can now be done by OT teams without coding skills.
Will this reduce our reliance on external engineers and contractors?
Yes. Customers reduce their reliance on external engineering. Internal teams own every pipeline, and the no-code interface enables self-service changes without specialized data engineers.
How fast can we onboard a new asset or facility?
Most customers onboard new assets in 5–15 minutes, compared to 3–12 weeks with traditional approaches. The platform includes pre-built connectors and templates that reduce integration work.
What does it take to get started?
You can start with our freemium sandbox (available in upcoming release), with no setup or sales calls required. Connect sample OT sources, build a pipeline, and see results in minutes. For production deployment, our team helps with initial setup and training.
Does Aditum Data replace our data platform or CDF?
Aditum Data complements your existing data platform. It extracts, transforms, and loads OT data into platforms such as Cognite Data Fusion, InfluxDB, Snowflake, or others.
What if we already have internal scripts or partial pipelines?
Aditum Data can work alongside existing solutions. Many customers start by replacing the most fragile or maintenance-heavy pipelines first, then gradually migrate others. You can also use Aditum Data Code for advanced customization.
Can Aditum Data handle high-volume, multi-asset data?
Aditum Data is designed for industrial scale: high-frequency tags, large-scale historian extraction (available to selected customers), and continuous multi-site streams.
Who provides support?
Our engineering team provides direct support for production deployments. For freemium users, we offer documentation and community support (planned capability). Enterprise customers receive dedicated technical account management and priority SLAs.
Get in touch

Talk to an industrial data architect.

Get direct answers on deployment inside your environment, OT connectors, security boundaries, and operating at enterprise scale.

Emailsales@aditumdata.comPhone+47 930 65 117