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Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

No User Reviews. Be the first to provide a review:

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Description

DecTrack is an innovative platform designed to enhance team decision-making by introducing a structured and transparent approach to how choices are made. Rather than allowing decisions to get lost amidst chat conversations, emails, and meetings, teams utilize DecTrack to clearly outline options and assess them through various methods such as pros and cons lists, SWOT analysis, or weighted scoring matrices, ultimately casting votes in an organized manner. Notable features include adaptable voting modes, the option for an approver's sign-off on significant decisions, organization tools for teams and projects, role-specific permissions, and comprehensive documentation of all decisions. Each decision is meticulously recorded along with its context and results, ensuring that even months later, stakeholders can easily understand what was decided, the reasoning behind it, and who was involved. Tailored for startups and cross-functional teams seeking to replace confusion with clarity, DecTrack is currently available for free during its Early Access phase, offering complete access to all features without requiring a credit card. This allows teams to try out the platform risk-free while they streamline their decision-making processes.

Description

Gemini Decision 1 is a specialized AI model from Google designed to evaluate information and produce structured decisions instead of generating natural language responses. The model enables developers to ask specific questions about provided content and receive probabilistic answers that can guide automated processes. It supports several decision formats, including yes-or-no classifications, selections from predefined options, and scores based on established criteria. Each evaluation can include confidence measurements and probability distributions to help applications interpret the model's predictions. Gemini Decision 1 offers a context window of approximately 262,144 tokens, allowing it to examine lengthy documents and substantial amounts of contextual data. Applications can use the model to classify incoming requests, prioritize tasks, route information, and assess whether content meets specified requirements. Its structured outputs are particularly useful for AI agents that need to select actions or evaluate conditions within automated workflows. Developers can access the model through supported API services, including Google's Gemini API ecosystem and Vercel AI Gateway. By focusing on decision-oriented inference rather than open-ended text generation, Gemini Decision 1 provides a way to incorporate AI-powered classification and evaluation into software applications.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

Gemini No 
Gemini platform No 
Google AI Studio No 
Google Cloud Platform No 

Integrations

Gemini Yes 
Gemini platform Yes 
Google AI Studio Yes 
Google Cloud Platform Yes 

Pricing Details

$0
Free Trial Yes 
Free Version Yes 

Pricing Details

$0.10 per 1M tokens (input)
$0.10 per 1 million tokens (input), no charge for output tokens
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

DecTrack

Founded

2025

Country

Austria

Website

dectrack.com/en

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

aistudio.google.com/docs/models/gemini-decision-1

Product Features

Decision Support

Application Development No 
Budgeting & Forecasting No 
Data Analysis No 
Decision Tree Analysis No 
Monte Carlo Simulation No 
Performance Metrics No 
Rules-Based Workflow No 
Sensitivity Analysis No 
Thematic Mapping No 
Version Control No 

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