10:42:51 — Something changed.
Process temperature begins drifting away from its recent baseline. SensX captures the signal with asset, unit and line context intact.
Signal → contextual telemetryIndustrial intelligence, engineered to operate
Your plant is already talking.
We make it understandable.
PLCs, cameras, work orders, alarms and enterprise systems already describe what is happening. Delfers turns those signals into one trusted operational story — and the next decision.
90+industrial projects
250+OT protocols
6global offices
Demo telemetry
Machine P-204
StateRunningOEE87.4%VisionNormalMaintenance12 days
Ask Delfi about this machine →
SensXVisionXCortexFabrixSentrixDelfi
One operational signalbecoming context → evidence → action
One event. Six products. One trusted answer.
Follow a plant signal all the way to a decision.
Scroll through a simulated production event. Nothing here replaces your existing controls; each Delfers product adds a layer of evidence and operational context.
10:43:04 — Vision sees what the sensor cannot.
A camera at inspection detects a surface defect and preserves the image, class, confidence and timestamp as production evidence.
Telemetry + visual evidenceThe event gets physical context.
Cortex relates the signal to the asset, upstream process state and recent behavior so the team sees the event as part of a system, not an isolated tag.
Evidence → operational modelNow the production impact is known.
Fabrix maps the event to work order WO-28431, lot 5421 and the units produced inside the affected window.
18 units flagged for reviewThe evidence becomes a governed recommendation.
Sentrix correlates process drift, vision evidence, maintenance context and quality rules. It prepares a response without silently taking control.
Recommendation · citations · approval boundary“Why did Line 3 stop?”
Delfi answers in operational language: where the drift began, what VisionX found, which units may be affected and what action requires approval.
One answer, grounded in the evidence aboveSIMULATED LINE 0310:42:51
SensX+7.8%temperature drift
VisionX0.93defect confidence
CortexP-204asset context
Fabrix18units to review
Sentrix86%correlation confidence
DelfiAnswer ready4 cited evidence sources
DEFECT
WORK ORDERWO-28431LOT 5421 · REVIEW WINDOW
Probable initiating conditionThermal drift at P-204
Sensor trend
Vision evidence
Quality window
DELFI · GROUNDED ANSWER
Temperature drift began before the visual defect. Review 18 units from lot 5421. Quarantine requires supervisor approval.
4 cited sources · Human approval required
Built for enterprise operations
ISO 27001:2022
ISO 22301:2019
SOC 2 Type II
Edge, on-prem & cloud
10-day pilot pathway
Delfers platforms
Six focused products.One shared industrial context.
You just saw them work as one system. Start with the product that solves today's problem, then connect the context as value grows.
01Fabrix
Manufacturing Execution SystemA cloud-native MES that runs the shop floor end to end - work orders, traceability, OEE, quality, SPC, maintenance and scheduling in one platform.
- Work-order execution and genealogy
- OEE, SPC and quality workflows
- CMMS and finite scheduling
02SensX
Enterprise IoT PlatformIngest any sensor, model any asset, and run operations from one console. A solution library across ten industries, deployed on-premise or in the cloud.
- Any sensor, any protocol
- Alarm workflow with SLA tracking
- On-premise by default
03Cortex
Industrial Digital TwinBuild a living operational model that connects assets, process context, performance and sustainability in one trusted view.
- Sense, simulate and steer
- Real-time plant and asset context
- What-if scenarios and ESG visibility
04VisionX
Industrial Computer VisionDeploy governed vision AI for quality, safety and operational workflows using the cameras and edge infrastructure you already own.
- Inspection, OCR, safety and guidance
- Air-gapped and data-sovereign deployment
- Transparent model and camera health
05Sentrix
Agentic AI for OperationsGive operations teams grounded findings with citations, clear reasoning and human approval before any operational response.
- Citation by construction
- OT-aware agents and workflows
- Advisory by design, no control writes
06Delfi
The Industrial CopilotTalk to your plant. It answers. Delfi is the voice-first master brain above the Delfers stack, grounded in live tags, alarms, work orders and manuals.
- Voice-first in 7 languages
- Grounded in live data, twin and vision context
- Signed actions under policy
Industry depth
View all industries →Different industries. The same requirement: evidence that survives production.
Manufacturing & Automotive
→
Connected production, quality and plant intelligence.
OT systems · MES · Vision AI · Digital Twin
Energy & Utilities
→
Reliability, grid visibility and ESG intelligence.
Predictive AI · Grid IoT · ESG
Pharma & Life Sciences
→
Validated intelligence for regulated operations.
GxP · LIMS · Computer Vision
Logistics & Supply Chain
→
Fewer errors. Faster flow. End-to-end visibility.
Vision AI · AGV · WMS · IoTSelected work
All case studies →Proof at industrial scale.
Battery manufacturing · OT transformation
A resilient digital foundation across two global plants.
Zone-based SCADA architecture, high availability, one million tags, DC/DR and 24x7 operational support.
350PLCs integrated1Mtags engineered
Heavy industry · Edge AI
Predictive maintenance at the production edge.
Vibration, thermal and acoustic intelligence with on-device remaining useful life models.
Read the story →
Energy · Digital Twin
Real-time energy and carbon visibility.
A living plant twin connected to operational data and sustainability reporting.
Read the story →
Pharma · Edge Intelligence
Condition monitoring for regulated cleanroom operations.
On-site sensing and analytics with clear operating states and accountable workflows.
Read the story →
Engineering-ledFrom field layer to enterprise outcomes
Why Delfers
The difficult part is everything between the signal and the decision.
That middle ground is where industrial programs usually fragment. Delfers combines execution, context, intelligence and engineering so the whole operating story stays connected.
01Execution plus intelligence
MES, Industrial IoT, digital twins, vision and agentic AI are designed as complementary layers.
02Context before AI
Models and agents are grounded in assets, process states, work orders, alarms and operational evidence.
03Open by architecture
Connect existing PLC, SCADA, historian, ERP and cloud investments instead of forcing unnecessary replacement.
04Engineered to operate
Cybersecurity, observability, documentation, deployment and lifecycle support are designed in from the start.
Delfers Engineering
Explore engineering insights →
Ideas worth taking back to the plant.
Original, evidence-led thinking on Ignition, MES, vision AI, application reliability and governed industrial AI.
01Ignition modernization · 9 minIgnition 8.3 upgrade readiness: what to validate before production
Modules, redundancy, historian behavior, application performance and rollback — treated as one evidence-led production decision.
Read the engineering guide → 02Agentic AI governance · 8 minIndustrial AI agents: where autonomy should stopDefine what an agent may observe, recommend, prepare, approve or execute before autonomy reaches operations.
Read article → 03Vision AI engineering · 9 minWhy computer vision pilots fail after the demoProduction readiness starts with optics, lighting, evidence, error economics and operator workflow — not just model accuracy.
Read article →
Start with the real problem
What's the hardest problem in your plant?
Describe it in one sentence, then continue to our short enquiry form. Your challenge carries across so you do not have to type it twice.