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HVAKR

Cloud-based HVAC design automation with AI-powered space takeoffs

Cloud-based HVAC design platform that consolidates load calculations, equipment sizing, duct design, and reporting into a single integrated workflow. Features AI-powered space detection from floor plans, real-time load calculation, and Revit plugin integration for BIM coordination.

Not publicly specified raisedEarly Stage
Founded 2021 · Early adopters in beta (no documented case studies available; 2 founders, Cal Poly alumni mechanical engineers)
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WHY IT EXISTS

Why This Tool Exists

The Problem

Mechanical engineers manually perform load calculations, equipment sizing, and duct design across multiple disconnected tools (spreadsheets, separate design software), consuming 15-30 hours per project and creating data inconsistencies when project criteria change. Teams lack real-time visibility into how design changes cascade across calculations.

The Solution

Cloud-based platform that consolidates load calculations, equipment sizing, and duct design into one integrated workflow with AI-powered space detection from floor plans. Automatic recalculation when criteria change, real-time team collaboration, Revit plugin for BIM coordination, and compliance with ASHRAE and ACCA standards.

USAGE

How You Use It

Delivery Method
SaaSRevit PluginWeb Application
Integrations
Revit
Disciplines
Mep Engineering
Workflows
Data & Automation
Project Phases
Schematic Design, Design Development
Project Types
Commercial, Residential
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Floor plans, Project parameters (building type, location, conditioning zones)
Optional:Equipment specifications, Custom design criteria, Previous project data
Formats:Floor plan images (JPG, PNG), PDF architectural plans, Imported space takeoff data
Output
What you get
Format:HVAC design reports with load calculations and duct sizing specifications
Fields:Heating and cooling load calculations (BTU), Equipment sizing recommendations, Duct sizing and airflow specifications, Basis of design documentation, Compliance summary (ASHRAE, ACCA standards), PDF and CSV report exports
Algorithm
How it works
Model:Proprietary AI for space detection and load calculation engine
Accuracy:Compliance with ASHRAE 183 and ACCA standards (specific accuracy metrics not publicly disclosed)
Privacy
How your data is protected
Retention:Project-based retention (specific duration not publicly specified)
Training:Not publicly specified
Compliance:Complies with ASHRAE/ACCA standards (specific SOC 2 or ISO 27001 not publicly disclosed)
API
Integration
Endpoint:Contact vendor for API access
Method:Not publicly documented
USE CASES

Use Cases

  • ·Rapid HVAC load calculations for commercial design projects (reducing calculation time from hours to minutes)
  • ·Equipment sizing and selection automation for mechanical design teams
  • ·Real-time design iteration with instant recalculation as project parameters change
  • ·BIM coordination through Revit plugin integration for mechanical engineers
  • ·Basis-of-design documentation generation for project delivery
  • ·Team-based HVAC design workflow with live collaboration
PRICING

Pricing

Free
Free trial available
Pro
HVAKR Lite: $100/month (1 seat) | HVAKR Professional: $800/month (3 seats, additional seats $60/month each)
Enterprise
Custom pricing with custom integrations, API access, team training, and dedicated support
Sources & Research NotesResearch date: 2026-04-04
Data Sources (8)
Fields Checked (14)
problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, yearFounded, maturityStage, pricing, input-formats, output-structure, algorithm-approach, useCases
Not Found (10)
fundingTotal, customerBase-documented-logos, api-endpoint-details, api-authentication-method, rate-limit-specifications, data-retention-days, privacy-policy-full-document, soc2-certification, iso27001-certification, case-studies
About this research: This record summarizes the cited sources and fields checked. A research date does not establish hands-on testing. Consult the original sources for current details and limitations.
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