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PVFARM

AI-powered solar farm design platform

Web-based AI platform for utility-scale solar design that automates layout generation, electrical, civil, and energy analysis. Handles projects up to 800MW DC with real-time multidisciplinary analysis.

Not publicly specified raised 📈 Growth Stage

Founded 2021 • Not publicly specified (webinar case studies available on website)

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Why This Tool Exists

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The Problem

Solar EPC teams spend weeks manually designing layouts, running electrical simulations, and civil analyses separately. Engineers evaluate 100+ layout options manually, delaying project timelines and increasing labor costs.

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The Solution

PVFARM automates layout generation with AI algorithms that optimize for energy production and equipment constraints. Real-time integration of electrical, civil, and energy analysis allows teams to test multiple design iterations and optimize projects 10-20x faster.

How You Use It

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Delivery Method

SaaS

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Integrations

Google Earth AWS PVsyst

Disciplines

Civil Engineering

Project Phases

Schematic Design, Design Development, Construction Documentation

Project Types

Infrastructure, Industrial

Data Transparency

Exactly what this tool uses and how

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Input

What it needs

Required: Site boundary/geometry, Project parameters

Optional: Custom PV modules, Custom inverters, 2D CAD drawings, PAN and OND files, Meteo data files

Formats: PAN files, OND files, DWG (2D CAD), Meteo files, Custom equipment specs

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Output

What you get

Format: Optimized solar farm design with multidisciplinary analysis

Fields: Layout geometry with tracker placement, Energy production estimates (accounting for shading, bifaciality, irradiance), Electrical configuration (inverter sizing, string sizing), Civil engineering recommendations (grading, drainage), Equipment specifications and costs, Performance comparisons across design iterations

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Algorithm

How it works

Model: Proprietary terrain-following optimization algorithm (specific ML techniques not publicly disclosed)

Accuracy: Not publicly specified

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Privacy

How your data is protected

Retention: Project data retained as long as necessary for project delivery (specific duration not publicly specified)

Training: Not explicitly stated (not used for AI model training based on privacy policy review)

Compliance: GDPR compliant (rights to access, deletion, rectification available)

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API

Integration

Endpoint: Contact vendor for API access

Method: Not publicly documented

Use Cases

• Rapid utility-scale solar farm layout optimization
• Multidisciplinary design evaluation (electrical, civil, energy)
• Energy production forecasting and performance modeling
• Equipment selection and integration for solar plants
• Design iteration and what-if analysis for capital efficiency

Pricing

Free

7-day trial with expert training sessions

Pro

Annual license (custom pricing by discipline: Layout Modelling, Civil, Energy, Repower, Electrical)

Enterprise

Contact for enterprise pricing

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📚 Research Sources & Data Quality Last verified: 2026-02-01

Data Sources (7)

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Verified Data (13)

problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, yearFounded, maturityStage, use-cases, input-output-specs, control-features, pricing-model

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Not Found (9)

funding-amount, customer-names-and-count, soc2-compliance, api-documentation, algorithm-specifics, accuracy-metrics, data-training-policy, webhook-support, rate-limits

Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.