Private Industrial AI for Enterprise Manufacturing
Assign a task.Agents do the work.Every insight traced.
Streamline360 is the agentic AI platform purpose-built for enterprise manufacturing. Ask in plain operational language — specialised agents pull live plant context from your Knowledge Graph and return answers in seconds. On-premise and at the edge: your data never leaves the plant.
›Why did Line 3 stop yesterday?
Your plant still can't use the power of language models today.
Global manufacturing loses billions to unplanned downtime — yet generic AI stays locked out of the factory floor for three structural reasons.
The Data Sovereignty Wall
Security and critical-infrastructure rules strictly prohibit sending proprietary telemetry and process recipes outside the plant perimeter. Cloud AI is a non-starter.
Legacy Data Silos
Crucial factory intelligence stays trapped across disjointed historians, legacy SCADA systems, control networks and physical shift logs.
The Pilot Trap
Generic frontier models are too slow, too expensive to query continuously, and prone to hallucinations during critical production events.
You assign a task. Agents take it from there.
“Why did Line 3 stop yesterday?”
Plant staff ask in standard operational language. No queries to write, no dashboards to configure, no data to export.
One Knowledge Graph. A data-blind boundary.
The local engine links live machine telemetry with your plant's operating knowledge inside a secure perimeter. Raw data stays in — only abstracted context moves.
Your data
Knowledge Graph
Dual-stream context behind a data-blind boundary: live telemetry fused with SOPs, shift logs and plant rules. Raw data never leaves.
Specialised Agents
Trusted Outputs
Answers, not raw text.
Dashboards
Built on request, sourced from live plant data — OEE, downtime, quality, energy.
Root-Cause Analysis
The specific reason behind a deviation or stop, identified and evidenced.
Alarm Insights
What an alarm means, why it fired, and what to do about it.
Recommendations
Actionable next steps — every one bound to pre-validated operating parameters.
Live example — “Build an OEE dashboard for the press shop.”
OEE trend · last 12 hours
ROOT CAUSE IDENTIFIED
Infeed sensor fault — Line 3, 14:02 UTC
trace → historian:P3-114 · alarm:A-221 · SOP-7.3
Outperforms frontier AI. On your data.
Same tasks, same factory datasets, side by side — scored by independent human process engineers. Focused retrieval beats raw text processing on every metric.
Benchmark, August 2026 · identical factory datasets · human-verified scoring. Lower cost and token bars are better.
Deployment
Inside your perimeter. Under your control.
Your telemetry never leaves the plant.
Streamline360 is privacy-first by architecture, not by policy. The data-blind boundary keeps proprietary recipes and process data inside your secure perimeter.
On-Premise & Edge
Installs directly at the edge or inside your plant network. No cloud dependency, no latency barrier.
Local Data Boundary
Raw telemetry is abstracted into operational metadata. Models run locally — nothing is exfiltrated.
Zero Hallucinations
Recommendations are strictly bound by your facility operating manuals and pre-validated parameters.
Complete Auditability
Every insight links to specific sensor tags, physical timestamps and approved procedures.
Built by people who know the plant floor.
A founding team spanning industrial AI, enterprise software and manufacturing operations — obsessed with making intelligence safe for critical infrastructure.
Co-Founder & Chief Executive
Enterprise software and industrial go-to-market. Leads strategy, partnerships and the OEM channel network.
Co-Founder & Chief Technology
Industrial AI and edge systems. Architected the Knowledge Graph engine and the data-blind boundary.
Head of Product
Manufacturing operations and HMI design. Owns the plain-language agent experience on the plant floor.
See it on your data.
Book a technical demo and we'll run Streamline360 against a sample of your plant data — on-premise, inside your perimeter.
60-day technical validation path
Deploys at the edge or on-premise
Connects to historians, SCADA, CMMS out of the box