Every chemical engineer'snew superpower.
StreamSight gives an AI agent what it needs to work inside your plant: a model of the process, built from your P&IDs and PI System data. The agent does the investigation and hands your engineers a decision-ready answer.
Ask about your plant.
StreamSight turns your P&IDs, PI System tags, and plant documents into one model of the plant: each piece of equipment, how it connects, and the tags on it. The agent answers from that model and live data.
- Is anything on this diagram drifting?
- Run a health check on the key equipment
- Are any sensors untrustworthy right now?
What sets it apart.
An agent is only as useful as the context it works from and the confidence engineers have in its answers.
It knows what each tag measures and how the plant connects.
- Works from a model of the plant your engineers have reviewed: the equipment, how it connects, and the tags on it.
- Traces cause and effect along those connections, with live data from the PI System.
It does the investigation, so the decision comes sooner.
- Pulls the trends, checks the history, and correlates the tags: hours of legwork, back in minutes.
- Studies every unit at once, so a small team covers more of the plant.
Your engineers can check every answer before acting on it.
- Each answer shows its analysis steps and the data behind them.
- Nothing changes the plant model without an engineer's approval, and stored corrections can be withdrawn.
- StreamSight only reads from the PI System and cannot control plant equipment.
What engineers use it for.
Routine engineering work, done by the agent with an engineer reviewing the result.
- 01Root causeA drifting exchanger traced to shell-side fouling, then monitored≤ 1 shift
- 02Bad actorsA ranked board of repeat failures from the PI System record1 day
- 03Post-mortemsAn upset's timeline rebuilt from tag history, every statement tied to a taghours
- 04Alarm limitsGreen, amber, and red limits drawn from how the unit actually runs1 day
- 05DashboardsA live view described in plain language, saved as a revision5 min
- 06Operating knowledgeCorrections from experienced staff, stored on the tags they apply toongoing
- 07Process studiesRegressions and correlation studies with the calculation shown1 week
- 08Model upkeepNew instruments after a turnaround added to the model as proposalsas needed
Build your own engineering tools.
When a dashboard is not enough, an engineer and the agent build a web app together: specify it, refine it, preview it privately, then publish it to the team. Apps read the plant model and live data, and each viewer sees only the data they have access to.
End-of-run forecast
Predicts when a hydrotreater's catalyst run will end, and how a rate cut or feed change moves that date.
Cleaning planner
Schedules exchanger cleanings in a crude preheat train for the lowest total cost.
How it works.
Plant knowledge is spread across P&IDs, the PI System, procedures, and your engineers' experience. StreamSight brings it into one model that software can reason over.
- 01
Connect
A read-only connector inside your network reads the PI System and sends the data outbound to your dedicated StreamSight environment. Nothing connects in.
- 02
Build the plant model
StreamSight reads your P&IDs and plant documents and proposes a model of the plant. Your engineers correct it.
- Why is the hydrogen purity falling?The effluent cooler is losing duty.A monitor for the coolerReview03
Put the agent to work
Ask a question. The agent works from the model and live data and shows its analysis. Your engineers decide what to act on.