Your systems are only as good as the data entering them. Today that data is collected by vendors, in vendor formats, at vendor-controlled costs. Porifera puts that layer under your control — before any system touches it.
SIEM platforms charge by ingestion volume. Every byte entering Splunk, Sentinel, QRadar, or Elastic is a billable event — whether it is security-relevant or not. Fewer than 40% of ingested logs provide real investigative value. The other 60% inflates your bill, slows queries, and generates false positives. Porifera sits upstream and intercepts data before it is ingested.
What Porifera delivers:
Reduce your SIEM bill — [Request a Trial]
Industrial environments generate data from PLCs, RTUs, SCADA systems, sensors, and field devices that never reaches the systems that need it. Porifera collects passively at the network level using protocols the devices already support — OPC UA, Modbus/TCP, BACnet/IP, DNP3. No agents on operational equipment. No operational risk.
What Porifera delivers:
Bring visibility to your environment [Talk to us]
Every smart city subsystem comes with its own vendor, its own protocol, and its own data format. Every time a new subsystem needs to be connected — traffic, utilities, buildings, public safety, environment — the answer has always been the same: another vendor license, another integration project, another dependency to manage. The city ends up data-rich on paper and operationally blind in practice, with each subsystem running in isolation and no unified view across any of them.
Porifera replaces that model. One platform connects to every subsystem using its native protocol — OPC UA, Modbus, BACnet, ONVIF, MQTT, and more — without a new vendor license for each one. All subsystem data is normalised into a single stream and delivered in real time to command centres, analytics, AI, security operations, and digital twin platforms simultaneously. No subsystem replaced. No vendor changed. One platform for the integrator to deploy, not fifteen.
What Porifera delivers:
Unify your city’s data foundation [Talk to us]
“Gartner predicts that through 2026, organizations will abandon 60% of AI projects unsupported by AI-ready data.”
— Gartner, February 2025
AI initiatives fail most often at the data layer, not the model layer. Feature stores receive inconsistent inputs. Training data is noisy, unstructured, and collected differently each time. Models trained on fragmented data produce unreliable outputs — and the problem compounds at every retraining cycle.
Porifera is deployed as the data foundation feeding your entire AI stack. It collects from IT, OT, IoT, and business systems simultaneously, normalises everything into a single consistent schema, enriches events with operational context, and delivers clean timestamped data in real time — to your feature store, your training pipeline, your inference endpoints, your vector database, and your MLOps platform. Every model receives the same reliable input from the same controlled upstream source. No manual preparation. No per-platform data engineering. No drift.
What Porifera delivers:
Build on a foundation that holds [Talk to us]
A digital twin that doesn’t reflect reality in real time isn’t a twin — it’s a diagram. Porifera bridges the physical and digital. It reads what your equipment is actually doing, translates it into the structure your twin platform expects, and streams it continuously to Azure Digital Twins, Autodesk Tandem, Siemens, and others.
What Porifera delivers:
Keep your twin in sync [Talk to us]
The deployments above are the most common starting points. Porifera is a flexible data foundation — if your environment generates IT, OT, or IoT data that needs to be collected, shaped, and delivered to downstream systems, the platform can be applied to your specific requirements. Talk to us about your data architecture and we will tell you directly whether Porifera is the right fit.
Tell us about your environment [Contact us]
Control. Access. Integrate.
The Upstream Data Foundation
For IT, OT, And IoT Environments
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