E-Virtual[beta]-The Ai Agents platform
Alternatives
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E-Virtual[beta]-The Ai Agents platform
[beta,test now!] we are iterating a complete agent platform
7
Problem
Users currently rely on hiring human workers or using static automation tools for tasks, which are inefficient, lack adaptability, and struggle with complex decision-making processes.
Solution
A no-code AI agent platform enabling users to deploy pre-built intelligent agents for automating tasks, from routine workflows to complex decision-making. Example: Deploy agents to analyze data or manage operations without coding.
Customers
Business Owners, Operations Managers, and Corporate Teams seeking scalable automation solutions for workflows and decision-making.
Unique Features
Pre-built AI agents that learn and interact with work environments, handle both simple and complex tasks, and require no technical setup.
User Comments
Simplifies automation of advanced tasks
Reduces dependency on human labor
Intuitive no-code platform
Agents adapt to workflows
Cost-effective for enterprises
Traction
In beta phase with 2 pre-built agents; expanding agent library based on user feedback (as of Product Hunt listing).
Market Size
The global intelligent process automation market is valued at $15.8 billion (2023), driven by demand for AI-driven workflow solutions (Statista).
E-Virtual, the AI agents Platform(beta)
AI agent platform - Beta Test 2 agents. More coming daily.
1
Problem
Users rely on manual processes or basic automation tools for handling tasks and decision-making, which leads to inefficiency and inability to handle complex decisions.
Solution
An AI agents platform where users can deploy pre-built AI agents for routine tasks and complex decision-making without coding. Examples: Automate workflows, analyze data, and execute decisions via agents.
Customers
Business owners, operations managers, and teams needing scalable automation solutions.
Unique Features
Agents perform complex decision-making (not just automation), pre-built agents for immediate deployment, and no-code integration.
User Comments
No user comments available yet (product is in beta).
Traction
Early-stage beta with 2 pre-built agents; no public metrics on users or revenue.
Market Size
The global intelligent process automation market was valued at $13.8 billion in 2022 (Grand View Research).
API Automation Testing Platform
All-in-One API automation testing platform
8
Problem
The current situation for users involves manual API testing, which is commonly time-consuming and prone to human error. Moreover, the traditional process of running API tests can be fragmented and lacks integration with modern tools. The drawbacks include the need to manually test APIs, leading to inefficiencies, and the inability to automate and schedule these tasks effectively.
Solution
A comprehensive cloud platform for API testing that allows users to upload Swagger, OpenAPI YAML/JSON, or CSV files to perform tests automatically. This solution provides automated functional, performance, and security reports sent directly to emails and supports scheduled tasks, streamlining the testing process and reducing the manual burden.
Customers
Developers, QA engineers, and software testers in technology firms or IT departments who focus on ensuring the integrity, performance, and security of application APIs.
Unique Features
The platform's uniqueness lies in its capability to offer a one-stop solution for API testing by integrating automated functional, performance, and security testing with the provision of reports via email, alongside support for scheduling tasks.
User Comments
Efficient and time-saving solution.
Highly appreciated the automation and scheduling features.
Easy integration and user-friendly interface.
Valuable for maintaining API integrity and performance.
Reports delivered to email simplify the review process.
Traction
Detailed specific metrics unavailable at present; however, the product offers a robust feature set catering to the automation testing needs of developers, indicating targeted traction in tech and software development sectors.
Market Size
The global automated testing market, which includes API testing, was valued at approximately $**17.5 billion** in 2021 and is projected to grow significantly, driven by increased adoption of DevSecOps, Agile methodologies, and demand for effective and efficient testing solutions.
Beyond Presence: Video Agent Platform
Build interactive agents in minutes to automate video calls
520
Problem
Users are currently managing video calls manually for HR, sales, support, and coaching, which is time-consuming and lacks personalization.
managing video calls manually
Solution
CVA platform that lets you build & deploy real-time conversational video agents allowing users to create interactive agents to automate video calls with features like interactive avatars, human touch, and sub-1 sec latency for HR, sales, support, and coaching.
Build interactive agents in minutes to automate video calls.
Users can deploy these video agents to handle conversations with a human-like interaction.
Customers
HR professionals, sales teams, support specialists, and coaches looking to enhance their video call efficiency and personalization with interactive video agents.
Businesses that require scalable and automated conversational solutions.
Unique Features
Real-time conversational video agents with interactive avatars.
Automating conversations across various departments like HR, sales, and support.
Sub-1 second latency for real-time interactions.
Human touch in conversational agents.
User Comments
Users find the platform efficient for automating repetitive conversations.
The sub-1 second latency is impressive and enhances the user experience.
Interactive avatars add a personal touch to automated conversations.
Businesses appreciate the scalability of the solution.
Some users wish for more customization options in avatars.
Traction
Newly launched features include interactive avatars and sub-1 second latency.
There is an indication of growing interest due to its unique features.
Market Size
The video conferencing market size is estimated to reach $13.8 billion by 2023, propelled by increased adoption of video communication in various industries.
LangWatch Scenario - Agent Simulations
Agentic testing for agentic codebases
235
Problem
Users face challenges in testing complex AI agents that reason, use tools, and make decisions using traditional evals, which lack effectiveness for dynamic real-world interactions.
Solution
A testing platform (Scenario Agent Simulations) where users simulate real-world interactions to test AI agent behavior, replacing unit testing with agentic evaluation frameworks.
Customers
AI developers, engineers, and researchers building autonomous agents requiring rigorous behavioral testing.
Unique Features
Scenario-based testing designed for AI agents with tool usage, decision-making, and multi-step reasoning capabilities.
User Comments
No user comments available (product is newly launched).
Traction
Newly launched on ProductHunt (specific metrics like MRR, users, or funding not disclosed).
Market Size
The global AI testing market is projected to reach $1.2 billion by 2027 (MarketsandMarkets, 2023).
AI agent platforms directory
A curated list of the best AI agent platforms
5
Problem
Users struggle to identify and choose the most suitable AI agent platforms for their needs. This process often involves sifting through countless options which can be time-consuming and complex. Identifying and choosing the most suitable AI agent platforms can be cumbersome, especially for those with limited technical knowledge.
Solution
A web-based directory that offers a curated list of the best AI agent platforms. Discover and compare the best AI agent platforms and frameworks to find open-source, no-code, and enterprise solutions for building intelligent AI applications. Users can effortlessly browse and analyze available platforms.
Customers
Businesses, startups, and developers looking to implement AI solutions. They are typically tech-savvy, seeking efficient ways to integrate AI into their operations, and interested in comparing different AI agent frameworks.
Unique Features
The unique aspect of this product is its comprehensive directory, enabling users to easily navigate and compare a multitude of AI agent platforms. The inclusion of open-source, no-code options, and enterprise solutions that cater to different user needs is also noteworthy.
User Comments
Users appreciate the curated nature of the directory, making it easier to navigate the large AI product landscape.
The platform is lauded for its inclusion of both open-source and enterprise solutions.
Users find value in the no-code options, which facilitate easier implementation for non-technical users.
Some users note that the comparison feature is useful for understanding the differences between platforms.
Feedback suggests that the directory saves time by consolidating information about various AI platforms in one place.
Traction
Launched on ProductHunt with user engagement metrics showing interest. The number of users or platforms listed isn't specified, so further detailed user and usage statistics are unavailable.
Market Size
The global AI software market is projected to reach $126 billion by 2025, escalating the demand for AI agent platforms and solutions.
Scoopika Platform
Build gpt-4o level AI agents for your app
116
Problem
Developers often struggle with creating sophisticated AI agents due to the high complexity and expertise required. The limitations of existing tools can hinder rapid development and innovation. Existing tools can be restrictive and complex.
Solution
Scoopika is an open-source developer platform designed to enable the creation of personalized AI agents. It's a no-code platform where developers can build agents that can see, talk, listen, learn, take actions, and collaborate in real-time.
Customers
Developers and technically skilled individuals looking to integrate advanced AI capabilities into applications without dealing deep into codebases.
Alternatives
View all Scoopika Platform alternatives →
Unique Features
Integration of multiple AI functionalities (see, talk, listen, etc.) and the ability for real-time agent collaboration and learning on a no-code platform.
User Comments
Innovative and versatile tool.
Reduces time and complexity in developing AI agents.
Friendly for developers with varying skills.
Opens up new possibilities for app development.
Strong community and support.
Traction
Still gathering data on user base and community involvement since it was recently launched.
Market Size
The AI market is expected to be worth $500 billion by 2024.
Agent Aria (Beta)
Blind Browser-Using AI Agent for accessibility testing
7
Problem
Users manually test website accessibility which is time-consuming and lacks real-user simulation for visual impairments
Solution
AI agent tool that simulates visually impaired users via screen reader callouts and keyboard navigation, enabling automated ADA/WCAG compliance checks
Customers
Web developers, UX designers, and accessibility specialists at digital agencies/enterprises
Alternatives
View all Agent Aria (Beta) alternatives →
Unique Features
First AI agent mimicking human-computer interaction patterns of blind users through actual screen reader APIs
User Comments
Insufficient public user feedback available (product in beta)
Traction
Launched 2023 on Product Hunt • Founder Jinesh Shah has 320+ LinkedIn followers • Featured on accessibilitytesting.ai platform
Market Size
Global web accessibility market valued at $400 million in 2023 (MarketsandMarkets)
Maia Test Framework
A pytest-based framework for testing multi AI agents systems
7
Problem
Users currently rely on manual testing or generic testing frameworks for multi-AI agent systems, which are time-consuming and lack specialized tools to handle complex agent interactions and scalability issues.
Solution
A pytest-based framework for testing multi-AI agents systems, enabling users to create complex simulations, run tests, and capture results (e.g., validating agent communication, performance benchmarking).
Customers
Developers and QA engineers working on AI-driven applications, researchers simulating multi-agent environments, and teams building autonomous systems (demographics: tech-savvy professionals in AI/ML fields).
Unique Features
Built on pytest for compatibility, extensible architecture for custom agent behaviors, and dedicated tools for debugging multi-agent interactions.
User Comments
No user comments available from provided data.
Traction
Open-source project hosted on GitHub (radoslaw-sz/maia), no explicit traction metrics (revenue, users) listed in provided data.
Market Size
The global AI testing market is projected to reach $1.2 billion by 2025 (Allied Market Research), driven by demand for scalable QA solutions in AI/ML applications.
CrewAI AMP - Agent Management Platform
Orchestrate AI agents with trust, scale & simplicity
25
Problem
Users previously managed AI workflows using fragmented tools requiring custom coding and manual integration, leading to inefficient scaling, lack of centralized monitoring, and compatibility issues.
Solution
An Agent Management Platform (AMP) where users can build AI workflows via chat, integrate tools, and monitor with enterprise-grade traces, e.g., creating automated workflows for tasks like customer support or data analysis.
Customers
Developers and Fortune 500 enterprise teams needing scalable, monitored AI agent orchestration.
Unique Features
First platform combining no-code chat-based workflow creation, deep third-party integrations (e.g., Slack, AWS), and granular performance tracing for enterprise compliance.
User Comments
Simplifies complex AI orchestration
Seamless tool integrations
Enterprise-grade monitoring is a game-changer
Reduces development time for AI workflows
Scalable for large organizations
Traction
Used by Fortune 500 companies (specific user count/revenue undisclosed); positioned as pioneering platform in agent management sector.
Market Size
The global AI workflow automation market is projected to reach $12.3 billion by 2028 (Grand View Research, 2023).