Nodi Commerce, by Nodi AI, is your AI employee for your ecommerce business. It works the job a sales and operations assistant would, around the clock, so you don't have to hire for every shift.
On WhatsApp, Instagram and Facebook, your AI employee answers customers in English and Arabic, 24/7. It learns your products, prices and policies and answers only from them: it answers product questions, tells customers where their order is, follows up, and even handles calls, inbound and outbound. When a chat needs a person, it hands over and alerts you on WhatsApp, in the app and by email. You decide which topics it must never discuss. It also spots spam messages and fake orders before you ship them.
Behind the conversations, your AI employee keeps the business running: one stock count across your online store, social channels and in-store counter (a browser POS with receipt printers, barcode scanners and cash drawers), orders, UAE VAT tax invoices, payments by card, Apple Pay, Tabby, Tamara or cash on delivery, and Aramex bookings with delivery charges by emirate.
Nodi is an official Meta and WhatsApp partner. You keep your own WhatsApp number, your team can share it, and messages are charged at Meta's rates. Setup takes about five minutes.
Plans start at $16 (AED 59) a month, and you can try every feature for 30 days for $1 (AED 3). Built for online sellers, social sellers and retail shops; not for restaurants.
SellerGuards is profit analytics software for Amazon FBA and FBM sellers. It pulls orders, fees, refunds, reimbursements and ad spend from Amazon, applies FIFO product costs, and shows true profit by day, period and product. It also tracks inventory value and finds lost, damaged and unreturned units Amazon owes you. It works across 13 Amazon marketplaces.
Nexo is a point-of-sale system for businesses in the Dominican Republic. You ring up the sale and the electronic invoice (e-CF) is issued in the same step: it is signed, sent to the DGII (the Dominican tax authority) and recorded in the shift's cash count. E-invoicing is included in all three plans, from RD$900 per month.
Nexo covers sales, inventory (stock goes down with every sale), multiple cashiers with their own logins, and per-shift cash register closing, sealed in a record that cannot be rewritten. If the DGII is down, invoices are queued and sent when the service is back.
Built for counter businesses: clothing stores, bakeries and cafés, phone shops, print and internet centers, and small supermarkets. Cloud-based, works from any browser. Local support via WhatsApp, no contracts. 7-day free trial, no credit card required.
Have you ever tested a feature, seen it work, and moved on, only for a later code push from you or a teammate to break it silently? In your mind it still works, until a customer tells you it doesn't. Rima Testing fixes that.
Rima Testing is an AI-powered browser testing platform. Describe what you want tested in plain English and Rima's AI reads your page, asks questions where it needs to, and builds the test for you. It runs the test itself before showing it to you, so you start with one that works. Prefer to do it by hand? Record a flow once with the Chrome or Firefox extension and Rima turns it into a test, with no code to write.
Schedule tests to run automatically in the cloud, or run them against localhost and private environments with the Rima CLI. Every run comes with video, screenshots, and a trace.
When a run fails, Rima emails you and its AI works out why: a bug in your app's code, a problem with the test, or a server issue. It explains the failure in plain English, and for real code bugs it can fix the code on your branch and open a pull request for your team to review. When your UI changes slightly, self-healing playback still finds the right element and suggests the updated locator.
Invite your team to shared workspaces with scoped permissions, and start on the free plan.
Short version:
CompliCorp is a digital accessibility testing and consulting firm that helps software vendors become procurement-ready with defensible accessibility evidence: manual testing against WCAG 2.1/2.2 AA, Section 508 and ADA requirements, Accessibility Conformance Reports (VPAT/ACR), and remediation guidance, performed by human testers using keyboard and assistive technologies.
Nogrunt is an AI-native Digital Teammate for quality engineering. Unlike traditional testing tools that ask your team to adapt to them, Nogrunt joins your engineering workflow, reads your Jira stories, understands your product's business intent, and autonomously handles the full quality lifecycle so your people can focus entirely on building.
From generating test cases and healing broken tests to running continuous regression and monitoring production, Nogrunt brings web, mobile, API, and performance testing into one unified experience. Every line of code it produces belongs to your team. No vendor lock-in, full ownership from day one.
Trusted by enterprises across technology, healthcare, and financial services, Nogrunt gets teams to their first test in under two hours and delivers measurable results: broader coverage, fewer defects reaching production, and significantly faster release cycles.
Nogrunt makes quality visible, accessible, and actionable for every member of the delivery team including BA, Design, Dev, and QA alike.
Testers.ai is an AI-driven testing platform designed to enhance software quality by automating comprehensive quality assessments. Developed by engineers with experience testing major platforms like Google Chrome, Testers.ai enables rapid identification of bugs, performance issues, and accessibility concerns, significantly reducing the time and resources traditionally required for quality assurance.
Key Features and Functionality:
- AI-Powered Testing Agents: Deploys over 30 specialized AI agents to perform parallel testing, covering areas such as security, accessibility (WCAG 2.2 compliance), SEO, performance, and user experience.
- Comprehensive Quality Reports: Generates detailed reports within approximately 15 minutes, providing insights into bugs, functional test results, and user feedback from AI personas.
- Integration with Development Tools: Seamlessly integrates with IDEs like VS Code and Cursor, allowing developers to conduct inline testing during the coding process.
- Flexible Deployment Options: Offers cloud-based testing as well as on-premise solutions, ensuring data privacy and compliance with organizational requirements.
- Customizable AI Testers: Allows customization of AI testing agents to align with specific project needs, enhancing the relevance and accuracy of test results.
Primary Value and User Solutions:
Testers.ai addresses the challenges of manual and time-consuming software testing by providing an automated, efficient, and comprehensive testing solution. By leveraging AI, it enables development teams to:
- Accelerate Release Cycles: Reduces the time required for quality assurance, allowing faster deployment of software updates and new features.
- Enhance Test Coverage: Simultaneously conducts multiple tests across various quality dimensions, ensuring thorough evaluation without additional resources.
- Improve Software Quality: Identifies and addresses potential issues before they reach end-users, enhancing user satisfaction and reducing post-release defects.
- Optimize Resource Allocation: Automates routine testing tasks, freeing up developers and QA teams to focus on more strategic initiatives.
By integrating Testers.ai into their development workflows, organizations can achieve higher software quality standards, streamline their testing processes, and deliver superior products to their users.
Covlant is an AI-driven impact testing platform designed to enhance software quality assurance by intelligently analyzing code changes and executing only the necessary tests. By focusing on the specific areas affected by code modifications, Covlant eliminates redundant testing, accelerates development cycles, and ensures higher accuracy in identifying potential issues before they reach production.
Key Features and Functionality:
- Prioritized Impact Testing: Covlant examines every pull request to determine the exact code changes and their impact, providing a focused view of affected areas to streamline testing efforts.
- Automated Test Generation and Execution: The platform selects appropriate tests from existing suites to cover impacted code paths. When coverage is insufficient, Covlant generates and validates new tests, ensuring that only effective tests are executed.
- Human-Centric Review Process: Users can quickly assess test outcomes, understand pass/fail statuses, and investigate failures, maintaining control over the quality assurance process.
- Intelligent Code Analysis: Utilizing a comprehensive mapping of the entire codebase, Covlant accurately identifies changes and their implications, surpassing the capabilities of general-purpose language models.
- AI-Powered Quality Agents: Employing advanced AI agents, Covlant generates, selects, and runs tests with high precision, validating them before presenting results for user review.
Primary Value and User Solutions:
Covlant addresses the common challenges of overtesting and undertesting in software development, which can lead to wasted resources and undetected bugs. By focusing testing efforts on the most relevant code changes, it reduces unnecessary testing, accelerates the development process, and enhances the reliability of software releases. This targeted approach ensures that development teams can ship products with greater confidence, knowing that potential issues have been effectively identified and addressed.
BugHunter is autonomous AI QA for game studios.
It plays your real game builds like a player, exploring loops, menus, progression, combat, and edge cases, to catch regressions and broken flows before release.
BugHunter returns reproducible bug reports with video replay, event logs, severity scores, and step-by-step reproduction, with no SDK or code changes required.
Built for mid-core mobile and live-ops studios that need faster regression coverage without scaling QA headcount.
a11ymind AI is an advanced web accessibility platform designed to help teams proactively manage and enhance the accessibility of their websites. By integrating real-browser scanning, AI-powered fix guidance, and continuous monitoring, a11ymind AI enables organizations to identify and resolve accessibility issues efficiently, ensuring compliance with standards like WCAG 2.1 AA and ADA Title III.
Key Features and Functionality:
- Real-Browser Scanning: Conducts comprehensive checks on live and preview URLs without the need for plugins or installations.
- AI-Powered Fix Guidance: Provides actionable recommendations with concrete code snippets to address identified accessibility violations.
- Continuous Monitoring: Schedules regular page checks to detect regressions and track accessibility improvements over time.
- CI/CD Integration: Integrates with GitHub Actions to catch accessibility issues before code merges, preventing regressions in production.
- Shareable Reports: Generates detailed reports suitable for teams and clients, facilitating transparent communication and collaboration.
Primary Value and User Solutions:
a11ymind AI empowers development teams, agencies, and product operators to seamlessly incorporate accessibility into their workflows. By automating the detection and resolution of accessibility issues, it reduces the reliance on manual audits, accelerates remediation processes, and ensures that websites remain compliant with accessibility standards. This proactive approach not only enhances user experience for individuals with disabilities but also mitigates legal risks associated with non-compliance.
ClankerView is an AI-driven user testing platform designed to provide rapid and insightful UX feedback for web applications. By deploying autonomous AI agents, known as "clankers," it simulates real user interactions, delivering comprehensive evaluations in minutes rather than weeks. This enables developers and product teams to identify and address usability issues promptly, enhancing the overall user experience before product release.
Key Features and Functionality:
- Rapid AI-Driven Feedback: ClankerView's AI agents navigate through your web application, performing tasks such as clicking, scrolling, and form submissions, to assess usability and functionality.
- Customizable Personas: Users can define specific roles for AI agents, such as "Product Manager at a mid-size SaaS company" or "First-time freelancer with no technical background," ensuring feedback is tailored to target user demographics.
- Real-Time Interaction Monitoring: The platform provides live updates, including screenshots and agent thought processes, allowing users to observe the testing process as it unfolds.
- Comprehensive Reports: Post-testing, ClankerView generates detailed reports highlighting usability strengths and areas for improvement, facilitating informed decision-making.
- Flexible Pricing Model: With a pay-as-you-go structure, users can conduct reviews at a cost-effective rate, with no subscriptions or seat limitations.
Primary Value and Problem Solved:
ClankerView addresses the common challenge of obtaining timely and actionable user feedback during the development cycle. Traditional user testing methods can be time-consuming and costly, often delaying product iterations. By leveraging AI agents to perform user testing, ClankerView significantly reduces the time and expense associated with gathering UX insights. This rapid feedback loop empowers teams to make iterative improvements before deployment, ensuring a more polished and user-friendly product upon release.
Aiqaramba is an AI-driven testing platform designed for B2B SaaS companies, enabling teams to automate end-to-end testing without the need for scripting. By describing test scenarios in plain language, AI agents execute these tests in real browsers, allowing for daily deployments with confidence and reducing the reliance on manual quality assurance processes.
Key Features and Functionality:
- Plain Language Test Scenarios: Users can define test cases using natural language, eliminating the need for complex scripting.
- Real Browser Execution: AI agents perform tests in actual browsers, ensuring accurate simulation of user interactions.
- Integration with Existing Tools: Seamless integration with platforms like Linear, GitHub, and Notion allows for streamlined workflows and efficient bug tracking.
- Parallel Execution: Multiple test scenarios can run simultaneously across different user roles and browsers, significantly reducing testing time.
- Automated Bug Reporting: Identified issues are automatically documented and filed, facilitating prompt resolution.
Primary Value and Problem Solved:
Aiqaramba addresses the common challenges faced by B2B SaaS teams in maintaining robust testing processes. Traditional methods often involve time-consuming manual testing, fragile scripted end-to-end tests that break with UI changes, or the risky approach of addressing issues post-deployment. Aiqaramba offers a solution by automating the testing process through AI agents, enabling teams to ship updates daily without the anxiety of untested code. This approach not only enhances product quality but also frees up valuable resources, allowing teams to focus on development and innovation.
Swarmcheck is an AI-powered quality assurance platform designed to test and validate AI features within web applications. It enables development teams to ensure the reliability and performance of their AI components by automating end-to-end testing processes. By integrating Swarmcheck into their workflow, teams can identify and address issues such as hallucinations, prompt injections, and response quality regressions before they reach production.
Key Features and Functionality:
- Autonomous Testing: Swarmcheck automates end-to-end testing for every release, ensuring comprehensive coverage of both AI and non-AI components.
- AI Assertions: The platform conducts semantic assertions to validate AI outputs, detecting issues like hallucinations and prompt injections that traditional QA tools might miss.
- Swarm Exploration: Utilizing parallel AI agents, Swarmcheck uncovers edge cases at scale, enhancing the robustness of AI features.
- Integration with Existing Tools: Swarmcheck seamlessly integrates with popular development tools such as GitHub, Slack, Jira, and more, fitting into existing workflows without disruption.
- Enterprise Security: The platform offers self-hosted runners on AWS, GCP, or Azure, ensuring that prompts and AI outputs remain within the user's security perimeter.
Primary Value and Problem Solved:
Swarmcheck addresses the critical challenge of testing AI features within web applications—a task that traditional QA tools often fail to perform effectively. By providing automated, AI-specific testing capabilities, Swarmcheck empowers development teams to detect and resolve AI-related issues early in the development cycle. This proactive approach reduces the risk of deploying faulty AI features, enhances user trust, and accelerates the overall development process. Ultimately, Swarmcheck ensures that AI components function as intended, delivering a reliable and high-quality user experience.
BugsHunter is an autonomous AI-driven QA platform that transforms manual scenarios into self-healing browser test runs. Our solution increases your testing capacity by four times, reduces regression costs by 30%, and automatically generates Playwright code for seamless re-runs. Streamline your backlog and deliver updates 23% faster.
DeepFrame is a luxury security studio specializing in authorized deep penetration testing for fast-moving web applications. It offers comprehensive security assessments to identify and address vulnerabilities before public exposure, ensuring robust protection for digital assets.
Key Features and Functionality:
- Authorized Deep Penetration Testing: Conducts thorough security evaluations to uncover potential weaknesses in web applications.
- Depth and Clarity: Provides detailed insights into security posture, offering clear and actionable recommendations.
- Retesting Services: Offers follow-up assessments to verify the effectiveness of implemented security measures.
Primary Value and User Solutions:
DeepFrame addresses the critical need for proactive security in the development lifecycle of web applications. By identifying and mitigating vulnerabilities before public release, it helps organizations prevent data breaches, protect user information, and maintain trust. This service is particularly valuable for startups and companies operating in fast-paced environments, where rapid development cycles can often lead to overlooked security gaps.