Turn complexity
into
An industry-native agentic intelligence platform that discovers data, organizes it, understands it — and acts on it.
“Root cause in seconds, not days.”
Sarah M.
VP Operations
“This changes how we think about fleet data.”
David C.
Chief Technology Officer
“The TCO calculator alone paid for itself.”
Michael T.
Chief Financial Officer
“Like having a data scientist on every asset.”
Elena K.
VP Engineering
“Our agents caught an anomaly before the sensor alarm.”
James P.
Reliability Engineer
“Finally, intelligence that actually acts.”
Rachel A.
Director of Operations
“Root cause in seconds, not days.”
Sarah M.
VP Operations
“This changes how we think about fleet data.”
David C.
Chief Technology Officer
“The TCO calculator alone paid for itself.”
Michael T.
Chief Financial Officer
“Like having a data scientist on every asset.”
Elena K.
VP Engineering
“Our agents caught an anomaly before the sensor alarm.”
James P.
Reliability Engineer
“Finally, intelligence that actually acts.”
Rachel A.
Director of Operations
Why Graffs
The cross-system predictive‑intelligence layer.
Graffs turns your existing telematics, OEM, and enterprise data into earlier failure prediction, faster diagnosis, and prioritized action across mixed utility assets.
Use the systems you already have
Compatible with telematics, OEM portals, ERP, CMMS, GIS, and workflow tools — no rip-and-replace.
Predict across mixed assets, not just vehicles
Goes beyond telematics-first platforms and OEM-specific tools to cover your entire asset base.
Move from visibility to action
You already have dashboards. The unmet need is diagnosis and action prioritization — that's where Graffs starts.
Stay vendor-neutral across OEMs
No OEM lock-in. Graffs works across manufacturers so decisions aren't trapped in a single vendor's silo.
99%
Faster to insight
From raw data to actionable intelligence
10x
Fewer manual reviews
Agents handle triage autonomously
<3 min
Anomaly to action
Detection, reasoning, and dispatch
24/7
Predictive coverage
Continuous monitoring across every asset
Intelligence pipeline
From signal to foresight.
Every data point flows through four stages — each one compounding value for the next.
01
Data
Raw telemetry, IoT signals, and operational feeds — unified in real time.
02
Insights
Pattern recognition, anomaly scoring, and contextual reasoning — automated.
03
Actions
Work orders, dispatch, alerts, and system responses — executed with precision.
04
Prediction
Failure forecasting, cost modeling, and optimization — before the problem arrives.
How it works
Anatomy of the service.
Five intelligent layers — from raw signal to autonomous action.
Data Ingestion
Telemetry, IoT sensors, ERPs, SCADA, APIs — unified in real time.
Knowledge Graphs
Ontologies, entity relationships, and domain context — structured automatically.
Data Agents
Pattern detection, signal analysis, anomaly scoring — always running.
Action Agents
Work orders, dispatch, alerts, notifications — executed autonomously.
Industry Agents
Fleet, energy, utilities, manufacturing — domain expertise built in.
Architecture
Intelligence that never sleeps.
An industry-native agentic system that discovers data, organizes it, understands it — and acts on it.
User Experience
Human-in-the-Loop
Tap a layer to explore
EV & Fleet Intelligence
Every dollar, every asset, every decision — visible.
Idle reduction, energy optimization, battery health, and TCO calculation. Real-time telemetry meets predictive maintenance in a single intelligent view.
Predictive Maintenance
Catch the failure before the failure catches you.
Signal trend analysis, root cause reasoning, automatic work order creation, and parts identification. From anomaly to action in minutes.
AI Command Center
Ask anything. Get everything.
Natural language and voice-driven queries across your entire operation. Multi-agent reasoning with full SSOT grounding.
Agents that feel right.
Self-Organizing
Continuously maps new data sources, protocols, and schemas without manual configuration. The platform grows as your operations grow.
Self-Adjusting
Models adapt to changing operational realities. New fleet compositions, regulatory shifts, seasonal patterns — absorbed automatically.
Self-Healing
Data inconsistencies and schema conflicts detected and resolved in real time. Missing values imputed, duplicates reconciled, drift corrected.
Self-Optimizing
Agents improve workflows, reduce idle cost, and refine decisions over time. Every interaction makes the system smarter.
Data. Reasoning. Execution.
Agents that do not just analyze. They act with precision and full operational context.
Answer Q&A
Domain-specific questions answered with full SSOT context and reasoning transparency.
Generate Dashboards
Dynamic visualizations created on demand. KPIs, fleet systems, LLM insights, ROI tables.
Trigger Actions
Automated work orders, dispatch scheduling, and parts ordering from a single anomaly detection.
Orchestrate
Multi-step processes coordinated across agents, systems, and approval chains.
Surface Anomalies
Pattern detection across signal trends, cost deviations, and operational drift.
Optimize
Proactive suggestions to reduce cost, improve uptime, and extend asset life.
Multi-LLM Orchestration
The right model for every moment.
Auto-fallback between Claude, OpenAI, and Mistral. Voice AI, TCO resolution, dashboard generation — each routed to the optimal model.
