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Description
Dapple stands out as a contemporary submission management solution tailored for teams and organizations seeking a versatile and cooperative approach to gathering, evaluating, and overseeing submissions. Ideal for various purposes such as open calls, grant applications, contests, pitches, or program admissions, Dapple simplifies the creation of customized forms, the management of workflows, and team collaboration throughout different phases of the process.
Users of Dapple can develop entirely personalized submission types or projects, determine who has access and can provide reviews, and guide submissions through a well-structured system featuring configurable stages and statuses. The platform accommodates setups involving multiple teams and organizations, offering detailed permission controls and facilitating cross-functional teamwork.
What truly differentiates Dapple is its contemporary and intuitive design, enhanced by AI-driven features that optimize tasks such as submission reviews and feedback writing, ultimately making the entire process more efficient and user-friendly. This unique combination of functionality and design ensures that teams can work seamlessly together, regardless of their size or structure, to achieve their submission management goals.
Description
Microsoft-Decision-1 is an efficient decision-scoring model tailored for structured outputs, enabling immediate action by software systems. This model is crafted to facilitate various functions such as routing, classification, prioritization, verification, and workflow management across different applications, agents, and automated systems. Built upon post-training from Qwen3.5-9B, it specializes in single-pass decision scoring and provides calibrated probabilities for a fixed set of response options. It is equipped to handle yes/no questions, multiple-choice scenarios, ratings, and rubric-based evaluations of both AI-generated responses and agent activities through a structured API. Extensive evaluations conducted by Microsoft, spanning 36 benchmarks in areas like routing, ranking, long context comprehension, multilingual capabilities, and tasks beyond typical distributions, indicate that it achieved the highest accuracy alongside remarkably low latency. Furthermore, the model emphasizes robustness, with rigorous testing aimed at ensuring decision stability even when prompts are rephrased or altered. This focus on stability underscores its potential for consistent performance in real-world applications.
API Access
Has API
No
API Access
Has API
Yes
Pricing Details
$29/month
Free Trial
No
Free Version
Yes
Pricing Details
$0.042 per 1M tokens
Free Trial
No
Free Version
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
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)
Yes
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)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Dapple
Founded
2025
Country
United Kingdom
Website
www.dapplehq.com
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
commandline.microsoft.com/microsoft-decision-1-model-foundry/