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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Participants provide their estimates in Story Points to indicate the workload involved with each story. Votes remain confidential until all participants have submitted their estimates. Once the voting is complete, the estimates are disclosed, allowing for further discussion. This approach categorizes issues solely based on their relative sizes. During the collaborative and unbiased voting process, the team arrives at preliminary estimates, engages in discussions, and identifies the most precise estimate for each item in the backlog. This method is particularly beneficial for distributed teams looking to estimate asynchronously and favor a consultative approach to estimations. Additionally, Async Poker can serve as an entry point into the interactive phase of estimation. Agile Poker offers a versatile planning toolkit that encompasses four collaborative estimation techniques, which assist in refinement, sprint planning, PI planning, and prioritization tailored to the team's requirements, experiences, and the size of their backlog. Overall, this process fosters a cooperative environment where all team members can contribute effectively to the estimation efforts.

Description

Rebar is a cutting-edge platform that utilizes AI technology to streamline the estimating process specifically for the HVAC sector, automating the tasks of conducting equipment takeoffs and generating project estimates from construction drawings. By leveraging sophisticated AI and vision-language models, it examines building plans and project documents to automatically identify, label, and count HVAC components and equipment directly from the designs. This capability allows estimating teams to swiftly recognize elements such as dampers, diffusers, and VRF systems, while also extracting essential properties necessary for producing precise project quotes. The automation of these processes significantly decreases the amount of manual labor needed during estimating, enabling teams to finalize takeoffs in mere minutes rather than days. Additionally, the platform features tools for automatic identification of rooms and marking of equipment along with their specifications, which assists estimators in efficiently organizing data from extensive construction plans. Overall, Rebar not only enhances productivity but also improves accuracy in the estimating process for HVAC projects.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Jira

Integrations

Jira

Pricing Details

$27.50 per month
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Atlassian

Founded

2002

Country

Australia

Website

marketplace.atlassian.com/apps/700473/agile-poker-for-jira-planning-estimation

Vendor Details

Company Name

Rebar

Country

United States

Website

www.withrebar.ai/

Product Features

Agile Project Management Tools

Backlog Management
Feedback Management
Gantt/Timeline View
Kanban Board
Prioritization
Request Management
Resource Management
Retrospectives Management
Status Tracking
Supports Scrum
Team Management
Template Management
Workflow Management

Product Features

HVAC Estimating

Billing & Invoicing
Commercial/Industrial
Cost Database
Data Import / Export
Equipment Maintenance
Financing Management
Labor Rates
Quotes/Proposals
Scheduling
Takeoff

Takeoff

3D View
Assembly Takeoff
Cross Section Creation
Electronic Plans
Elevation Checking
Error Checking
Site Balancing
Slope Routines
Subcontractor Management

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