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Tended

Tended.ai automates tendering with AI and ChatGPT, offering AutoFill and collaboration tools with a 7-day free trial.
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Tended

What is Tended?

"Tended.ai" is a tender automation platform that utilizes artificial intelligence and ChatGPT technology to streamline the tendering process. It helps users efficiently answer RFP questions by connecting data sources and generating data-enhanced responses in natural language. The platform offers features such as AutoFill for tenders and team collaboration tools to enhance productivity. Users can try the platform with a 7-day free trial without the need for credit card details, and there are different pricing plans available to suit various business needs.

Who created Tended?

Tended was created by Chris McCullough. The company was launched on April 23, 2023. Tended.ai is a tender automation platform that leverages artificial intelligence and ChatGPT technology to streamline the tendering process. It assists users in efficiently answering RFP questions, automating tender filling, and facilitating team collaboration. The platform offers features like AutoFill, team collaboration tools, and real-time notifications to enhance productivity and increase the chances of winning contracts.

What is Tended used for?

  • Enhancing team collaboration
  • Streamlining the tendering process
  • Efficiently answering RFP questions
  • Automating the filling process of tenders
  • Improving response accuracy
  • Enhancing productivity of teams
  • Providing clear overviews of tender requirements
  • Completing tenders faster
  • Assisting in winning contracts
  • Aiding in growing businesses

Who is Tended for?

  • Businesses of all sizes
  • Startups

How to use Tended?

To use Tended.ai efficiently, follow these simple steps:

  1. Import Your Sources: Connect your data sources to the platform to automate responses with AI-generated data-enhanced natural language responses.

  2. Invite Your Team: Gather experts, writers, and reviewers in one place using collaboration tools to assign roles, responsibilities, and track progress.

  3. Answer Customer Questions: Utilize AI assistance to automatically create responses. Engage collaboration tools to involve the right team members and refine answers.

By following these steps, you can streamline the tendering process, save time, and enhance accuracy with features like AutoFill and team collaboration tools provided by Tended.ai.

Pros
  • Automated tendering
  • Enhanced responses via data
  • Uses ChatGPT technology
  • AutoFill feature
  • Team collaboration tools
  • Real-time notifications
  • Streamlines tendering process
  • Facilitates efficient RFP responses
  • Real-time product updates
  • Industry news and resources
Cons
  • Limited free trial period
  • No offline mode
  • May generate generic responses
  • Data connection dependencies
  • Lack of customized response
  • No elaborated pricing details

Tended Pricing and plans

Paid plans start at $99/month and include:

  • 2 Users Included
  • 20 Sources
  • 100 Answers/month included
  • 5 Project Imports/month

Tended FAQs

How can Tended.ai help in answering RFP questions more efficiently?
Tended.ai aids in answering RFP questions more efficiently through its AI and ChatGPT technology.
How does Tended.ai aid in delivering accurate responses?
Tended.ai ensures accurate responses by utilizing AI and ChatGPT technology.
What integrations does Tended.ai offer to connect data sources?
Tended.ai offers the capability to connect data sources, eliminating the need for manual data entry. However, specific integrations are not explicitly mentioned on their website.
Can Tended.ai provide me an overview of requirements in a tender?
Yes, Tended.ai can provide a clear overview of all requirements in a tender.
How can Tended.ai enhance the productivity of my team?
Tended.ai enhances team's productivity by offering real-time collaborative tools and notifications.
How simple is the process of using Tended.ai?
The process of using Tended.ai is designed with simplicity in mind and involves just three steps.

Get started with Tended

Tended reviews

How would you rate Tended?
What’s your thought?
Liam O'Connor
Liam O'Connor December 13, 2024

What do you like most about using Tended?

I appreciate the AutoFill feature of Tended, which saves a lot of time when filling out RFPs. It intelligently suggests answers based on previous submissions, making the process smoother.

What do you dislike most about using Tended?

However, I found the interface a bit clunky and not as intuitive as I expected. It took some time to figure out how to navigate through the features effectively.

What problems does Tended help you solve, and how does this benefit you?

Tended helps streamline the tendering process, allowing me to respond to multiple requests more quickly. This efficiency is beneficial, especially in a competitive bidding environment.

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Sara Patel
Sara Patel January 5, 2025

What do you like most about using Tended?

The collaboration tools are fantastic! They allow my team to work together in real-time on tender responses, which has improved our overall productivity.

What do you dislike most about using Tended?

I wish there were more templates available for different types of tenders. Sometimes, creating new ones from scratch can be time-consuming.

What problems does Tended help you solve, and how does this benefit you?

Tended helps us manage our responses more efficiently, reducing the time spent on repetitive tasks. This allows us to focus on crafting more tailored responses.

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James Nguyen
James Nguyen January 2, 2025

What do you like most about using Tended?

The concept of using AI for tender automation is innovative, and the integration with ChatGPT is a great idea.

What do you dislike most about using Tended?

Unfortunately, the execution fell short for me. The AI sometimes provided irrelevant suggestions, which made me question the reliability of the responses.

What problems does Tended help you solve, and how does this benefit you?

While it aims to streamline the tendering process, I found it didn't significantly reduce the workload compared to traditional methods in my experience.

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