A thinking
PV operations platform
ZenovaAI isn't a chatbot. It's a native Monitor module that wires plant data → tool calls → structured reports → executable graded actions. Upgrade from querying data to making calls.
Not a new platform — an upgrade for the SaaS you already run
ZenovaAI runs as a native module inside monitor.z-energy.tech, preserving the users, flows, and data assets you already have.
From capture to decision
one continuous data line
Our hardware moves plant signals to the cloud · ZenovaOS turns signals into asset views · ZenovaAI turns views into conversational recommendations — every layer built in-house.
Edge hardware
Inverters / meters / weather / robots — zero-config onboarding
ZenovaOS
Digital twin · asset view · alarms · tickets · billing
ZenovaAI
Chat analysis · chart generation · reports · action recs
Help the team you already have do the right thing faster —
not be busier doing more
Ops, O&M, and leadership ask in plain language; the system handles the query and organizes the answer.
Structured reports and charts are produced automatically — less copy-paste, more time on decisions and execution.
Not just what's wrong — P0/P1/P2 grading so the team tackles what matters first.
Turn data capability into operating capability
ZenovaAI is built on ZenovaOS with 12 AI tools, vector RAG, and tiered model routing — covering 18 core intents.
Conversational Q&A analysis
Multi-turn analysis on sites, inverters, alarms, and yield — with follow-up context, typo tolerance, and implicit-subject resolution.
- 18 core intents · LLM intent classifier
- Switch across multiple sites / devices
- Typo tolerance (e.g. 'inverer' → 'inverter')
From querying data to making calls —
one sentence away
Ask any plant question in natural language — ZenovaAI auto-invokes 12 Monitor tools and returns conclusions, charts, and graded action recommendations.
Not just tools — a plan that actually ships
Between demo and running in production sits a full layer of org, process, and metric alignment. We walk it with you.
AI advisory
Current-state assessment, scenario prioritization, org-collaboration guidance, phased goals and acceptance criteria.
- Business assessment report
- Scenario priority matrix
- Cross-team collaboration plan
- Phased goals and acceptance criteria
AI rollout
Module onboarding, flow redesign, role and permission setup, operating-cadence buildout, training, and review.
- Zenova module onboarding
- Existing flow redesign
- Role, permission, and SOP setup
- Training + 30-day review
Co-build program
Limited slots for design-partner customers with clear business goals — teams willing to co-create industry benchmarks.
- Deep joint implementation
- Joint benchmark case release
- Priority access to new-feature betas
- Co-built dedicated knowledge base
Four steps from 'usable' to 'repeatable'
Not all-at-once — each step actually running in production.
Business diagnosis
Pin down target scenarios, roles, and metric definitions; pick the 2-3 business actions that most deserve AI first.
Scenario launch
Ship high-value scenarios first: alarm triage, trend reviews, auto weekly/monthly reports — no wall-to-wall coverage, just one thing working end-to-end.
Org adoption
Wire the usage path through O&M, ops, and leadership; establish a steady cadence so AI lands inside the SOP.
Continuous improvement
Monthly reviews, more scenarios added from feedback — 1-2 per month, moving from high value to high coverage.
Address the concerns up front
If your question isn't here, open the chat widget at the bottom-right or request a demo — we answer one-on-one.
ZenovaAI covers 5 typical report types: 1) Operational reviews (daily / weekly / monthly) — auto-aggregated generation, PR, availability, key events with variance attribution; 2) Alarm & fault attribution — list P0-P2 alarms with per-device / per-plant impact on generation; 3) Equipment loss attribution — which inverters, strings, or modules contributed most to generation loss; 4) Regional / multi-plant comparison — cross-province / cross-plant KPI comparison, anomaly identification; 5) Settlement & revenue analysis — paired with the smart settlement module: revenue accounting, collection progress, comprehensive returns. All reports come from Monitor's real-time data, one-click PDF / Excel export, with charts + natural-language summaries.
Start with a single scene
Let AI enter the workflow
Best first plays: alarm triage, trend analysis, weekly/monthly auto-reports — all three deliver results within 14 days.