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What is Optible?

Optible AI significantly minimizes manual evaluations by as much as 90%, all while maintaining an impressive accuracy rate of 99%. One of the primary applications of Optible is in grant assessment, which is crucial since grant administration typically incurs costs of 35 cents for every dollar allocated in funding. By addressing this major hurdle, Optible effectively streamlines the manual evaluation process associated with grant applications. Equipped with advanced proprietary AI and machine learning technology, Optible AI can process free-form text and produce a structured dataset, accompanied by an AI-generated executive summary. Additionally, it provides a quantitative scorecard to assess each application based on predefined criteria. Following a smooth training and onboarding phase, our platform is versatile enough to enhance virtually any decision-making workflow. Our technology finds utility across various sectors, including government grants, banking, mining, educational institutions, and venture capital, facilitating the screening, assessment, due diligence, and automation of data collection processes. This versatility ensures that organizations can operate more efficiently, making better-informed decisions in less time.

What is Evaluator?

An evaluator plays a crucial role in guiding decision-making by methodically assessing multiple options against a common set of standards. For example, when selecting a vendor’s offering, considerations such as features, costs, and availability are evaluated. Each choice is assigned a numerical score based on these established criteria, which simplifies the comparison process among the alternatives. The importance of each criterion can be customized through weighting, which influences its contribution to the overall evaluation score. This tool also promotes collaborative assessments, enabling various stakeholders to input their scores, resulting in a unified scorecard that captures the group's collective viewpoint. The results of this assessment can be presented in various formats and compiled into a detailed report for further analysis. Users also have the flexibility to set a scorecard baseline at any point for the sake of auditing. Moreover, they can create scorecard templates from existing evaluation criteria, streamlining the process of developing new scorecards that utilize the same standards for evaluating different options. Additionally, assigning appropriate weights to each criterion based on their significance in the decision-making process is vital for achieving fair and balanced evaluations. Ultimately, this systematic approach enhances the clarity and effectiveness of the decision-making process, enabling users to make well-informed choices.

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Integrations Supported

Integrations Supported

Mimasa AI

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS
Windows

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Optible

Date Founded

2021

Company Location

Australia

Company Website

optible.ai/

Company Facts

Organization Name

Midrig

Company Location

United Kingdom

Company Website

midrig.com/evaluator/

Categories and Features

Grant Management

Not specified

Submission Management

Not specified

Categories and Features

Decision Support

Data Analysis

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