01
Wind Turbine Main Bearing Wear
Sub-synchronous vibration signatures detected from accelerometer envelope spectra.
Energy / Predictive Asset Health
Predict Failures Before They Take Renewable Assets Offline
We engineer edge-to-cloud predictive maintenance platforms that fuse vibration, thermal, electrical, and SCADA signals into early-warning models — extending asset life and protecting your generation revenue.
40%
Average reduction in unplanned downtime
6–12 mo
Typical early-warning window before bearing failure
2GW+
Capacity under active monitoring
Trusted by global innovators
Industry Overview
From Reactive to Predictive Asset Operations
Renewable assets are physically remote, capital-intensive, and revenue-sensitive — every avoided trip is real money. Our predictive health platforms turn raw sensor streams into prioritized work orders, giving O&M teams a focused view of which assets need attention this week, this month, and this quarter.
Industry Challenges
Why Generic Condition Monitoring Falls Short
Off-the-shelf vibration and SCADA alarms produce too many false positives, miss subtle precursors, and don't speak the language of your CMMS.
Alarm Fatigue: Threshold-based rules trigger thousands of weekly alerts that O&M teams learn to ignore.
Single-Modality Blind Spots: Vibration alone misses electrical anomalies; thermal alone misses gearbox wear.
Disconnected Workflow: Diagnostic insight rarely flows automatically into work orders, parts ordering, or crew scheduling.
Cold-Start Pain: New asset classes require months of historical baselining before classical models become useful.
Our Approach
Multi-Modal AI for Asset Health
We combine physics-informed baselines, deep learning on raw signal data, and federated learning across your fleet to deliver actionable diagnostics — not just alerts.
Edge Signal Processing
FFT, envelope spectra, and order tracking run at the asset, sending compact features instead of raw waveforms.
Cross-Modal Fusion
Models combine vibration, temperature, voltage, and SCADA context into a single asset health score with explainable drivers.
Closed-Loop Workflow
Diagnoses turn into pre-filled CMMS work orders with parts, procedures, and recommended schedule windows.
Capabilities
What Operators Get on Day One
A complete predictive maintenance platform — instrumentation strategy, edge inference, fleet dashboards, and CMMS integrations — delivered as one product.
Asset Health Scores
Per-asset 0–100 score with trend, drivers, and recommended action.
Failure Mode Classification
Models identify the specific failure mode — bearing wear, blade imbalance, IGBT degradation — not just 'anomaly'.
Remaining Useful Life
Confidence-bounded RUL estimates feed maintenance planning and parts forecasting.
Edge Inference
Lightweight models run on ruggedized industrial PCs for sub-second on-asset diagnostics.
Fleet Heatmaps
Sort and filter your entire fleet by risk, age, location, or model variant.
Auto Work Orders
Diagnoses become pre-filled work orders in Maximo, SAP PM, or your CMMS.
Crew Scheduling
Optimization layer batches site visits to minimize travel and maximize uptime.
Warranty & RMA Workflow
Auto-package diagnostic evidence for OEM warranty claims with one click.
Federated Learning
Models improve across your fleet without ever centralizing raw OEM-sensitive waveforms.
How It Works
Edge-to-Cloud Reference Architecture
Designed so the heavy lifting happens close to the asset — and the cloud handles fleet-wide learning and orchestration.
Sensor Layer
Vibration accelerometers, thermal cameras, current/voltage transducers, plus SCADA tap.
01
1
Edge Compute
Industrial PC at the substation runs feature extraction, drift detection, and first-line ML.
02
2
Selective Upstream
Only features, anomalies, and tagged waveform snippets flow upstream — slashing bandwidth bills.
03
3
Cloud Lakehouse
Bronze/silver/gold tables on Iceberg or Delta drive both real-time and analytical workloads.
04
4
Model Training & Registry
MLflow tracks experiments; training pipelines retrain weekly and promote champions automatically.
05
5
Application Layer
Web fleet dashboard, mobile field app, and CMMS integration close the operational loop.
06
6
Engineering Stack
Stack Tuned for Industrial Edge AI
Built for environments where reliability beats novelty — but where modern ML still earns its place.
Edge & Embedded
NVIDIA JetsonLinux RTDockerModbusOPC-UAMQTT
Signal Processing
NumPySciPyPyWaveletsObsPyCustom DSP
ML Platform
PyTorchONNX RuntimeMLflowFeastRay
Lakehouse
Apache IcebergDelta LakeSparkDuckDBTrino
Cloud
AWS IoT GreengrassAzure IoT HubGCP IoT CoreKubernetes
Apps
Next.jsReact NativeGraphQLTailwind
Measured Impact
Real Numbers from Real Fleets
Outcomes from operating wind, solar, and battery storage portfolios deployed on our predictive maintenance stack.
40%
Reduction in O&M cost
Across a 1.2GW offshore wind portfolio.
8 mo
Median early warning
Before catastrophic gearbox bearing failure.
73%
False positive reduction
Compared to threshold-based SCADA alarms.
1.4×
Asset life extension
Through condition-based overhaul scheduling.
Offshore Wind: 2GW Under Active Monitoring
An offshore wind operator engaged Agnotic to replace a thresholded alarm system that was generating 4,000 alerts per week — almost all noise. We re-instrumented 240 turbines with high-frequency vibration capture and shipped an edge inference stack within five months.
Within the first year the platform predicted 17 main-bearing failures with average lead time of 8 months, saved roughly $14M in avoided emergency vessel mobilization, and reduced operator-relevant alerts by 73%.
Case Study
Utility-Scale Solar: Inverter Diagnostics
A solar IPP needed to get ahead of recurring IGBT failures across multiple inverter brands. We built a vendor-neutral diagnostic layer that ingests AC and DC waveforms plus thermal imagery from drone inspections.
The platform now flags incipient IGBT degradation 4–6 weeks before nameplate output drops, and routes warranty-eligible failures into a dedicated OEM evidence pipeline.
Case Study
Use Cases
Failure Modes We Catch Early
A non-exhaustive list of the high-impact failures our customers most often want detected weeks ahead of time.
02
Gearbox Tooth Pitting
Order-tracking analysis catches mesh frequency anomalies as torque loading varies.
03
Solar Inverter IGBT Degradation
Switching-frequency harmonics drift identifies aging power stages.
04
Battery Cell Imbalance
Cell-level voltage and temperature deviation flags manufacturing or thermal issues.
05
Transformer Hot-Spot Formation
Thermal imagery plus dissolved gas analysis predicts winding failures.
06
Blade Pitch System Drift
Pitch motor current signatures reveal hydraulic or actuator wear.
Integrations
Integrates With Your O&M Backbone
Predictive insight only matters if it lands in the systems your crews already use.
CMMS
IBM MaximoSAP PMInfor EAM
Historian
Schneider AvantisOSIsoft PI
Sensors
Brüel & Kjær VibroBently NevadaFLIR Thermal
Service
Salesforce
ITSM
ServiceNow
Compliance-First Development Services Backed by Global Standards
We build secure, scalable products designed for privacy, interoperability, and regulatory readiness from day one across every sector we serve.
Service Organization Control 2
Verified controls for security, availability, and confidentiality of enterprise data systems.
Information Security Management
Adhering to the international gold standard for managing information security risks.
Quality Management Systems
Ensuring consistent quality in software delivery and operational process optimization.
Our Edge
Why Global Leaders Choose Us
We combine deep technical expertise with industry-specific knowledge to deliver solutions that aren't just functional, but transformational.
Enterprise-Grade Security
We implement rigorous security protocols and compliance standards (HIPAA, GDPR, SOC2) across all industrial solutions to protect sensitive data.
High-Performance Scaling
Our architectures are built to handle massive data loads and user bases, ensuring seamless performance whether you're serving ten or ten million.
Accelerated Time-to-Market
Leveraging our suite of internal tools and proven frameworks, we reduce development cycles and get your product to market 40% faster.
Embedded AI Integration
Beyond simple wrappers, we build deep-learning integrations and predictive analytics directly into the core of your industry-specific workflows.
Engagement Model
Engagement Model
Predictable, structured delivery from kickoff through long-term ownership.
01
Discovery & Site Audit
We map your existing assets, SCADA systems, OT networks, and data residency constraints to scope a realistic 8–12 week MVP.
02
Architecture & PoC
We build a working slice on a representative substation, plant, or fleet — proving the data path end-to-end before committing to scale.
03
Production Engineering
Hardened ingestion, time-series storage, multi-tenant dashboards, and AI models go live behind your IAM and audit controls.
04
Operate & Improve
We stay on as the embedded engineering team — closing alerts, tuning models, and rolling out new dashboards as your asset base grows.
Voices of Success
We don't just build products; we forge lasting partnerships. See how we've helped industry leaders transform their vision into technical reality.
"I can clearly see how Agnotic has a unique way of handling end-to-end development. They are always active on quick chat and provide support quickly."
Aaron Phelan
Founder, Benchmark
"Agnotic is the best technical team we evaluated. Their engineering excellence made our work dramatically easier and allowed us to stay focused on what matters most for maternal care outcomes. They took full ownership of the technical execution, and we are always happy to continue working together."
Kim Smith
Founder, My Lauren
"Agnotic combines deep technical expertise with strong domain knowledge. They understand the business context, anticipate challenges, and make collaboration smooth and effective."
John Pasmore
Founder, Latimer
More in Energy
More Energy Solutions
Explore other production-grade engineering platforms we deliver across energy.
Smart Grid Monitoring Dashboard
Sub-second telemetry visibility from substation to inverter level.
Battery Storage Analytics
State-of-health, state-of-charge, and degradation modeling for grid-scale BESS.
Oil & Gas Asset Monitoring
The same predictive stack applied to compressors, pumps, and rotating equipment.
Cross-Industry Reach
The Same Engineering Patterns, Across Other Industries
The technical patterns behind this platform translate naturally into adjacent verticals.
Manufacturing
Apply the same telemetry and predictive analytics patterns to factory floors and process plants.
Transportation
Extend grid-edge data pipelines to fleet electrification, charging logistics, and route planning.
Gov & Research
Power national energy datasets, climate modeling, and regulatory disclosure platforms.
Frequently Asked Questions
Often only partially. We start by mining your existing SCADA, vibration, and inverter data — and only specify new sensors where the ROI is clear. Most fleets see meaningful diagnostics within weeks of go-live without any hardware additions.
Industries
A Unified Vision that Caters to Diverse Industry Demands
Build your next energy platform with us
We engineer production-grade energy platforms end-to-end. Talk to us about scoping a focused 8-week pilot.