Private beta · Industrial
AI agents for manufacturing, food processing, and clean rooms. Watches humidity, pressure, and temperature against your process spec 24/7. Predictive fault detection tuned for continuous-duty equipment. Audit logs ready for FDA Part 11 and ISO 14644.
Join the waitlist →99.5%+
process uptime target
predictive fault detection catches failures before the line goes down
±2% RH
humidity SLA pass rate
continuous monitoring against your process spec, not daily spot checks
zero gaps
FDA/ISO audit log completeness
every setpoint change logged with timestamp, value, and reason
Three modes — autonomous leads here
Primary for this page
Reads every process-zone sensor 24/7. Compares humidity, pressure, and temperature against your spec, not a comfort setpoint. Fires alerts and work orders before the process is affected.
Ask: 'Which AHU in the clean room is drifting on differential pressure?' — get a ranked list with telemetry and a recommended first action before you walk the floor.
Expose your HVAC telemetry to your existing MES or SCADA via Modbus/OPC-UA. HVAC AI Agents is the normalized bridge — no duplicate historian, no vendor lock-in.
Manufacturing, food processing & clean rooms
Industrial HVAC AI Agents continuously read process-zone telemetry — humidity, differential pressure, ACH, and temperature — against your spec, not a comfort setpoint, so failures surface days before they interrupt production or trigger a compliance finding.
Industrial HVAC operates differently from comfort HVAC. A printing plant needs ±3% RH to prevent misregistration. A food processing line needs positive pressure in the packaging zone and negative in the raw-material zone. A Class 10000 clean room needs ISO 14644-defined ACH and differential pressure logged on a 15-minute interval. When these processes drift, the cost isn't a warm employee — it's a halted line, a product recall, or a failed FDA audit.
HVAC AI Agents maintains a separate process-zone monitoring layer, decoupled from comfort-zone scheduling. Each process zone gets its own setpoint spec, alarm thresholds, and logging interval. The predictive layer baselines every AHU, chiller, and cooling tower over 14–21 days of 24/7 duty cycle, then detects anomalies — rising leaving-water temperature, coil approach degradation, compressor head-pressure creep — typically 7+ days before a failure event. Work orders are routed to CMMS or SCADA before the shift supervisor notices.
Integration goes both ways. The agent reads from existing BMS, BACnet, Modbus, and OPC-UA endpoints. Audit events — every setpoint change, every alarm acknowledgment, every write-back — are structured for FDA 21 CFR Part 11 and ISO 14644 review workflows. No third-party historian required: the agent's event store is the record of evidence, exportable in CSV or JSON on demand.
Where it pays off
Four patterns we see repeatedly across manufacturing, food processing, and clean-room facilities.
Pharmaceutical clean-room facility manager
ISO 14644 Class 7 clean room must maintain 10–15 ACH and 0.03" WC positive pressure at all times. Current monitoring is manual log sheets every 4 hours — auditors flag the gaps every inspection.
→ Agent logs ACH and differential pressure every 15 minutes, automatically. Alarm fires within minutes of a deviation. FDA Part 11-structured export goes to QA before the auditor asks.
Zero audit log gaps
Food processing plant engineer
Packaging zone needs positive pressure vs. raw-material zone. AHU serving the boundary has been drifting, but it only shows up when line supervisors notice cross-contamination risk in the QA log.
→ Predictive baseline detects AHU airflow degradation 9 days before it crosses the spec limit. Maintenance replaces filters and rebalances during a scheduled weekend window, not an emergency shutdown.
9 days early warning, zero line interruption
Semiconductor fab facilities engineer
Process humidity must stay within ±2% RH or yield drops. Current alarming fires after a 15-minute average breach — by then, wafers are already at risk.
→ Agent watches the 1-minute trend, not just the 15-minute average. Rising humidity trajectory triggers a pre-alarm before the spec limit is breached, giving the HVAC team time to intervene.
±2% RH SLA pass rate
Maintenance manager, light manufacturing plant
Chilled-water-coupled HVAC. When the chiller degrades, the first sign is a comfort complaint from the floor. By then, compressor efficiency has dropped 20% and an emergency service call is next.
→ Agent monitors leaving-water temperature and compressor amp draw daily. Rising trend triggers a work order 7+ days before the system trips. Planned service call replaces emergency overtime.
7+ days predictive failure lead time
FAQ
Process zones and comfort zones are configured with separate monitoring profiles. A process zone gets its own setpoint spec (e.g., 45–55% RH ±2%), alarm thresholds, escalation path, and logging interval. A comfort zone gets a standard setpoint band and a longer alarm delay to avoid nuisance alerts. The two streams never mix in reporting — process alarms go to quality or production supervision; comfort alarms go to facilities. If a facility has both (e.g., a food plant with office space), both are supported in the same deployment.
Yes. Every setpoint change, alarm event, and write-back action is logged with a timestamp, user ID (or agent ID for autonomous actions), before-value, after-value, and reason code. The log is append-only and tamper-evident. Export formats include JSON and CSV structured for Part 11 review. The agent doesn't replace your validated QMS, but it is designed to feed it with structured evidence. Ask our team about the Part 11 evidence package and validation documentation available on request.
Standard predictive models trained on comfort-building HVAC don't transfer well to 24/7 industrial duty cycles — there's no setback window to reset the baseline. The agent uses rolling-window anomaly detection: it baselines compressor amp draw, leaving-water temperature, supply-air temp differential, and coil approach on a 21-day rolling window, then flags deviation from that rolling normal. A chiller that's gradually degrading shows a rising leaving-water temperature trend over days — the agent catches it 7–14 days before a trip event.
Yes. The agent reads from Modbus TCP/RTU and OPC-UA endpoints directly, in addition to BACnet. If your process HVAC controllers expose points on a Modbus register map, we can map them to the agent's normalized schema without replacing controllers. OPC-UA is commonly used in food, pharmaceutical, and semiconductor environments — the agent connects as a standard OPC-UA client. A typical SCADA integration is a read-only data subscription; write-back, if enabled, goes through a separate channel with change management controls.
Write-back actions for production-critical zones require an explicit approval gate. The agent generates a recommendation with a predicted impact window, and a human approver (maintenance lead or shift supervisor) clicks to execute. Autonomous write-back is limited to non-production-critical zones (comfort HVAC, corridors) unless you explicitly extend it to process zones with approval workflows. No autonomous action ever bypasses a production safety interlock — those are always hardware-enforced.
Yes. ISO 14644 monitoring is a supported profile. You configure the clean-room class, required ACH range, minimum differential pressure, and maximum measurement interval. The agent logs every reading at the configured interval (commonly 15 minutes), flags excursions immediately, and generates the 14644 compliance report on a monthly or quarterly schedule. If your clean-room monitoring is currently manual log sheets, replacing that process with continuous electronic logging is typically the first deployment step.
Air-gapped or segmented OT networks are a common requirement in pharmaceutical, semiconductor, and defense manufacturing. In this configuration, the agent runs on a server inside the OT network segment. Telemetry stays within the segment; only structured alert notifications and report exports cross to the IT network via a one-way data diode or DMZ. No cloud connectivity is required for the monitoring and alerting functions. Reach out to discuss the specific network architecture for your facility.
The agent can ingest data from compressed-air controllers and chilled-water plant controllers alongside HVAC points — all read via BACnet, Modbus, or OPC-UA. Cross-system correlation is a key use case: for example, a chilled-water supply temperature rise that's degrading an AHU's cooling coil performance shows up as a correlated fault, not two separate alarms. You get one root-cause hypothesis, not two separate tickets. Ask us about the multi-system correlation profile for your facility type.
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Carrier, Trane, Daikin, Mitsubishi, LG, Lennox, York, Samsung — 20+ HVAC, home-automation, and BMS brands.
63 brands across 3 categories — HVAC (31), Home Automation (18), BMS (14). Protocols: BACnet, KNX, MQTT, Matter, Modbus, REST, WebSocket, Z-Wave, Zigbee.
How it stays out of your way
Sealed data plane. Per-site auth. Audit log on every setpoint touch.
Deploys at the building edge — your data doesn't leave the site to be useful.
Works with Claude, ChatGPT, and any MCP-compatible client. You pick the brain.
Private beta
Designed for manufacturing, food processing, and clean-room facilities. Early access is free.
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