Ask your plant data anything
Decide in minutes
Train the agent on your data, your business rules and your knowledge.
Your process, as a live model
Any operation with a physical process can be modeled in Pulse: connect your sensors, define each stage as a node, and write the equations that link them, AI-assisted. Test a change in the model before you make it on the plant floor.
In the System Modeler, every stage of your process becomes a node. Assign entry and exit metrics, set controllable variables, and write the SQL that links them, AI-assisted — turning raw sensor data into a live digital twin.
Bettermin, a mining-tech startup, runs a bio-process that makes mineral extraction more efficient. They used Pulse to model each stage, connect plant data, and simulate scenarios with AI before changing anything in the real operation. We built the tooling and integrated the data — they bring the domain expertise.
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Your process engineers, self-sufficient
No data engineering specialist required. Pulse gives the people who understand the process the tools to model, simulate, and act — on their own.
Build a digital twin of your process
Model each stage as a node, assign entry/exit metrics, and write the SQL that links them, AI-assisted. No data specialist, no code.
Simulate a change before you make it
Adjust a controllable variable in the model and see the projected effect on yield, recovery, or risk — before you touch the plant floor.
Ask the agent to optimize
"Which variables most improve recovery this week?" — answered in seconds, with the SQL behind it. Evidence, not intuition.
Set up anomaly detection in a few clicks
Pick any sensor or metric, set upper/lower bounds and severity. Done. No SQL, no ticket to data.
Build alert logic by dragging boxes
Combine detection jobs with AND, OR, and threshold conditions. Route only the alerts that matter to Email, MS Teams, Slack, or any webhook.
AI automation
Chain detection, reasoning, and action into a workflow: trigger on a threshold, let the agent decide, and fan out to your team or your own APIs. Insight isn't the last step.
Built for process engineers
Not for data engineers
BI tools show you the past. Pulse lets you model the future — and test it.
We've spent 8 years building real-time data infrastructure for environments where a wrong number costs millions. Pulse brings that same reliability to your plant, wrapped in tools your process engineers can use to model, simulate, and optimize — without a data engineering specialist.
You can't test a change on a live plant
So most improvements never get tried
Every change to a running process carries risk: adjust a variable and you might lose yield, waste reagent, or trip the line. So your best ideas sit in a spreadsheet, untested — and the knowledge of how the process really behaves lives in a few senior heads, not in a system. You optimize by intuition, not by evidence.
- ✕a dashboard shows you what happened — it can't simulate what would happen if you changed a variable.
- ✕spreadsheet models go stale the moment the process shifts, and only one engineer understands them — until they leave.
- ✕connecting sensor data, process logic, and AI takes a data team you don't have — so nothing gets built.
Watching the process isn't the hard part. Being able to safely change it is.
Runs inside your infrastructure
Connects to what you already have
For critical operations, security isn't a badge — it's where the software runs. Pulse can deploy on-prem, in your environment, and connects to the sensor and process data you already record.
Security & deployment
- ✓Runs on-prem. Deploy inside your environment — you provide a VM with Kubernetes and we deploy there. Your data never leaves.
- ✓Read-only, never trains a model. The agent reads your sources and nothing more. Your data is never used to train anything.
- ✓Data residency by design. Because it runs in your infrastructure, your data stays in your territory — no third-party cloud in the path.
Built for your stack
- ✓Connects to your sensors and time-series sources. Bring in process data from sensors, historians, and existing databases — however your plant already records it.
- ✓Ingests however your data flows. Kafka, REST APIs, direct database, files, and streaming sources — we handle the last-mile data engineering.
- ✓Routes into your workflow. Alerts and reports fan out via webhook to your existing systems, Slack, or MS Teams.
See it on your own process
All we need is access to your sensor and process data and a technical contact during onboarding. No migrations. We model your first process together — and your team takes it from there.
Start with the capacity you need. Scale as you grow