StreamSight is an AI engineering agent that reads your plant the way your best engineer does, and surfaces the opportunities waiting in the data.
Human-readable in, human-reviewed out, so the agent explains what it finds and your engineers make the operational decisions.
Your plant was written for people,
and it can be written for machines too.
Decades of process knowledge live across P&IDs, the PI System, SOPs, and the experience your engineers carry with them, and StreamSight brings all of it into one machine-readable model that software can reason over.
Once that model exists, the hours, the chemicals, and the optimizations that were sitting quietly in the data become visible to everyone on the team at the same time.
Your chemical engineers keep the judgment, and they get an agent that shows its data and its reasoning, so trust is built on evidence they can check themselves.
StreamSight sees and does everything your chemical engineers can.
Work with it the way you would work with an engineer, describing the problem, setting the goal, and scoping the project, and it comes back with real analysis that is explained and traceable, so trust is earned.
- 01
Analyze
Runs the studies your team has been meaning to run, across every unit at once.
- 02
Diagnose
Traces a symptom through the graph to the mechanism behind it.
- 03
Understand
Knows what each tag is, what it feeds, and how the unit is supposed to behave.
- 04
Explain
Shows the data, the method, and the reasoning behind every conclusion.
- 05
Monitor
Turns a finding into a live view wired to your tags.
A live process graph,with an engineering-gradeAI on top.
- 01
Ingestion
Uses your diagrams and plant documentation to build process context, the layer everything else runs on.
- 02
Live data
Connects to the PI System through the StreamSight connector, so every answer reflects what the unit is doing right now.
- 03
Chat and coding
Ask it anything about your process, and it writes and runs real Python analysis and builds live dashboards.
- 04
Engineer in the loop
The agent observes and advises, your engineers review what it proposes and make the operational decisions, with Entra ID single sign-on.
Your diagram,
machine-readable.
P&IDs, PI System tags, and documentation become one graph the agent can query: nodes, edges, bindings, and sub-diagrams.
- unit
- E-201
- tags
- TI-201 · DP-201 · FI-104 · PI-118
- status
- abnormal · shell side
Every finding is explained and traceable.
Describe the problem and get real analysis back, where every step names its tag, every conclusion cites its data, and your engineer reviews the result.
- unit
- E-201
- duration
- 05:14
- reviewed
- R. Ortega
- deployment
- dedicated cloud
▍
Optimized processes,
and super engineers running them.
On a water treatment train, a boiler, or an assembly line, you get time and money back, and every engineer works with the leverage of your best one.
Deeper analysis
Studies every loop across every unit at once, in seconds, and ranks what matters.
Quicker, better decisions
Engineering answers arrive in minutes, while the decision is still in front of you.
Better workflows
The analysis your team has been meaning to run becomes the way the work gets done.
Workflows.
Built for the work process engineers already do, with the depth and speed of a whole engineering group running at once.
- 01Root cause
Fouling on E-201, found and monitored
≤ 1 shift - 02Bad actors
Ranked board of repeat offenders
1 day - 03Post-mortem
Incident timeline as a proposal
hours - 04Thresholds
Green, amber, red across the flow
1 day - 05Dashboards
Live view, versioned in the library
5 min - 06Knowledge
Institutional process knowledge, captured
ongoing - 07Studies
Reproducible, computation visible
1 week - 08Extend
A graph that keeps pace with the plant
as needed
Opportunities hiding
in plain sight.
The agent watches every loop, ranks what it finds, and brings your engineers the items that deserve a decision.
It runs alongside
everything you run today.
Hosted in a dedicated environment for your team, reading your PI System through a connector inside your network.
- deployment
- Cloud-hosted
- A dedicated environment for each customer
- connectivity
- StreamSight connector
- Runs in your network and sends data outbound
- data source
- PI System
- Live tag history through the connector
- ingestion
- Diagrams and documentation
- Used to build process context
- analysis
- Python sandbox
- Correlations, regressions, change-points
- oversight
- Engineer in the loop
- Engineers review proposals and decide
- sign-on
- Microsoft Entra ID
- Group access and audit