Advanced Process Technologies • Industrial AI
Industrial AI Co-pilot
Agentic AI that understands your plant — documents, sensors, batch records, and PLC programs — and answers engineering questions with cited evidence from your own operational data.
Live on a production ACV01 Automated Cheese Vat
What is GUS.ai
GUS.ai is an agentic AI system purpose-built for industrial food and dairy processing plants. It combines three knowledge sources that plant engineers have never been able to query together before: your document library, your live sensor data, and your PLC logic.
Ask GUS.ai why a set time exceeded spec. It will retrieve the SOP target from the recipe document, pull the actual step timing from the telemetry data, and tell you exactly how far off you ran — with citations for both sources.
For plant operations, this means faster troubleshooting and fewer calls to engineering. For management, a complete record of every question and answer. For compliance, every response is evidence-backed and traceable.
Why did the set time run long on last night's batch?
Set time target per recipe spec: 3:00:00. Actual elapsed from telemetry: 5:10:22 — +72% over spec. Vat temperature held at 88.4°F (within range). pH trending data shows coagulation onset delayed by ~18 min relative to historical median. SOP Section 4.3 recommends verifying rennet dose rate if set time exceeds target by more than 30 min.
Capabilities
Semantic search across SOPs, P&IDs, equipment manuals, recipe specs, parts lists, and commissioning reports. Every answer cites the exact source and section.
Real-time sensor data from your process. Current values, time-series trends, and threshold monitoring across every instrumented point in the process.
Step timing analysis, batch history comparison, and production metrics. Instantly identify which steps ran long and by how much relative to the recipe specification.
Parsed L5X programs, user-defined types, controller tags, and alarm definitions. Ask about any rung, any tag, any alarm configuration in natural language.
Ask GUS.ai from the web app, by email, by text message, or by phone call. Get answers wherever you are — on the plant floor, in the office, or on the road.
Pump curves, heat exchanger specs, RTD calibration data, flowmeter configurations, automated valves, and level transmitters — any component or instrument in your process.
AI Architecture
GUS uses five specialized AI models from two providers — each chosen for a specific task, balancing reasoning depth, speed, and cost.
Deep Reasoning & Graph Intelligence
Powers interactive code graph, knowledge graph, and docs graph conversations — providing deep structural analysis and architectural reasoning across the entire codebase.
Highest reasoningCore Agent Brain
The primary orchestration model. Manages a 9-tool loop — deciding which documents to search, which tags to query, and how to synthesize evidence into cited answers.
9-tool orchestrationReal-Time Descriptions
Generates instant purpose descriptions for graph nodes on click. Optimized for sub-second latency with server-side response caching.
Low latencyAutomatic GPT-5.2 failover for 99.9% uptime
Voice-to-Text
Transcribes spoken questions into text for the agent pipeline. Operators can ask GUS questions hands-free from the plant floor via voice, phone, or kiosk microphone.
Speech recognitionText-to-Speech
Reads answers aloud with natural voice synthesis. Enables hands-free operation during production runs, CIP cycles, and equipment inspections.
Voice outputRoadmap
GUS.ai is actively evolving. Here's what we're building toward — each milestone informed by real plant floor feedback.
Know what's coming before it happens. Statistical extrapolation, learned batch models, and physics surrogates for proactive process advisories.
In researchDedicated AI agents for cheese yield optimization, CIP validation, and preventive maintenance — each with deep domain knowledge and scoped tool access.
PlannedAI-powered early warning that learns normal batch profiles and flags deviations in real time — before operators notice something's off.
In researchConnects to any PLC through ADX — no historian licensing required. Open-source stack, vendor-agnostic.
PlannedAsk GUS from the plant floor. PWA-first with native iOS and Android wrappers for push notifications and offline caching.
PlannedRun GUS entirely on-premises with local LLMs — no data leaves the plant network. Docker Compose, edge inference, zero cloud dependency.
PlannedBuilt by APT
Advanced Process Technologies (APT) is a 100% employee-owned process engineering and equipment manufacturing company headquartered in Cokato, Minnesota. Since 2000, APT has designed, fabricated, programmed, installed, and commissioned processing systems for dairy and food plants across North America — from three manufacturing facilities spanning Minnesota, Idaho, and California.
APT's flagship product is the Advanced Cheese Vat (ACV), a patented design with three U.S. patents that improved yields, reduced maintenance, and set a new standard for process control in cheesemaking. Led by an on-staff Master Cheesemaker, APT provides recipe development, process optimization, and 24/7 engineering support.
GUS.ai is the product of that domain expertise combined with three years of applied AI research — retrieval systems, agentic architectures, and industrial data integration — and one year of development against a live production ACV.
We are not a software company that learned dairy. We are process engineers who built an AI system because we understood exactly what information our operators needed and couldn't get fast enough.
Get Started
Request a 30-minute live demo with a production ACV — real questions, real data, real answers.
We'll be in touch within 24 hours to schedule your demo.