Quokka Labs

Quokka Labs partnered with SHL, a global leader in talent assessment and workforce solutions, to develop a scalable talent acquisition and management platform. The project focused on addressing complex data management requirements, multi-layered workflows, and strict security and privacy standards.

The platform was designed to handle large volumes of assessment data from multiple sources while providing real-time insights for HR teams. Our team worked on streamlining workflows, improving usability, and ensuring seamless integration with existing HR tools. Strong emphasis was placed on compliance with global data protection regulations including GDPR, CCPA, and HIPAA.

The solution helped SHL improve platform reliability, enhance user adoption, and support enterprise-grade talent assessment at scale.
 

Quokka Labs partnered with Run The Day, a race management platform, to build an AI-powered assistant that provides real-time, context-aware guidance for race directors. The goal was to reduce administrative overhead, simplify complex workflows, and improve platform adoption without increasing support dependency.

The AI assistant was embedded directly into the Run The Day dashboard and trained on platform-specific workflows, FAQs, and operational logic. It enables race directors to resolve issues related to registrations, pricing, volunteers, fundraising, and race-day logistics through natural language interactions.

The solution reduced support time by 70%, improved setup accuracy, and increased adoption of advanced platform features, allowing race organizers to focus more on delivering smooth, successful events.
 

Quokka Labs partnered with the Ministry of New and Renewable Energy (MNRE) to design and develop a centralized web portal for managing bio-energy project applications, approvals, and subsidy disbursements. The platform digitized a previously paper-driven process involving multiple stakeholders and approval stages.

The solution enabled private developers and MNRE officials to track application progress in real time, reduce data errors, and improve accountability across the approval hierarchy. The portal supports multiple government schemes, provides role-based access, centralized document management, and automated notifications to ensure transparency and process continuity.

By digitizing end-to-end workflows, the platform reduced administrative workload, minimized delays, and enabled more efficient implementation of national bio-energy initiatives.
 

Quokka Labs partnered with Rhubarb, a New York–based startup, to design and develop an AI-powered mobile application that simplifies home gardening through personalized guidance and community engagement. The goal was to make growing food at home accessible, intuitive, and rewarding for users of all experience levels.

We built native iOS and Android applications integrated with an AI assistant that provides tailored planting schedules, pest control advice, and maintenance tips based on user location, climate, and preferences. The platform also includes community features that allow users to connect with other gardeners and local businesses.

The solution was designed with a scalable backend, strong data security, and offline access to ensure reliability and long-term growth. Rhubarb launched with a robust, user-friendly mobile experience that supports sustainable gardening and ongoing user engagement.
 

Whisperr is an AI-powered secure messaging platform designed to deliver private, intelligent, and seamless communication across Android and iOS devices. The project was developed to solve a common challenge in modern messaging platforms — balancing strong privacy, intelligent features, and a smooth user experience.

Quokka Labs engineered Whisperr with end-to-end encryption for text, media, and file sharing, ensuring that only intended recipients can access conversations. The platform encrypts messages, images, audio, video, and files before transmission, providing complete protection against third-party access.

To improve communication efficiency, Whisperr integrates AI-powered messaging assistance that offers real-time auto-suggestions, context-aware replies, and intelligent responses using an AI chat assistant. Users can tag @AI to instantly generate message responses or suggestions based on conversation context.

The platform also supports advanced messaging features such as group chats, disappearing messages, emoji reactions, and message replies. Media files are protected using encrypted streaming technology, ensuring smooth performance even for large files.

One of Whisperr’s most innovative features is secure in-chat cryptocurrency transactions. Users can transfer crypto directly within conversations while wallet keys remain encrypted and stored locally on their devices, ensuring complete security.

The application was built with Kotlin for Android and Swift for iOS, providing native performance and consistent encryption behavior across platforms. The backend infrastructure is powered by Java and Firebase, enabling real-time message delivery, synchronization, and scalable cloud storage.

By combining AI intelligence, strong encryption, and modern messaging capabilities, Whisperr delivers a next-generation communication experience that is secure, fast, and intelligent.

Evertest is an AI-driven QA automation platform designed to simplify and accelerate web application testing for development and quality assurance teams. Traditional QA workflows often require engineers to manually record user actions, write automation scripts, and maintain documentation, which results in slow release cycles and inconsistent test coverage.

To solve these challenges, Quokka Labs developed Evertest as a browser-based testing extension that records user interactions, automatically generates test scripts, and produces human-readable documentation. The platform enables QA engineers, developers, and even non-technical team members to create and execute automated test cases without writing code.

The browser extension captures clicks, form inputs, navigation flows, and interactions across multiple tabs in real time. These recordings are then transformed into automated test scripts that can be replayed across different browsers and environments, ensuring consistent application behavior and reliable quality assurance.

Evertest also includes AI-powered test generation that allows users to describe testing scenarios in plain English. The platform interprets these descriptions and automatically creates detailed test cases, reducing the need for manual scripting and accelerating test creation.

Another key capability of Evertest is its automated documentation system. The platform generates clear, human-readable test documentation for every recorded workflow, ensuring teams maintain accurate and up-to-date records of their testing processes.

The platform was built using React with Tailwind CSS and ShadCN UI for the frontend interface, while Supabase powers authentication, cloud storage, and data management. JavaScript drives the browser extension logic and recording capabilities, while Selenium WebDriver running in Python enables reliable cross-browser automated test execution.

With AI-driven automation and cloud-based execution, Evertest significantly improved testing efficiency for development teams. The platform reduced test creation time by 70%, enabled 100% automated documentation of user journeys, achieved 80% consistent cross-browser execution, and streamlined CI/CD integration across development pipelines.

By transforming manual QA processes into automated workflows, Evertest enables development teams to release higher-quality software faster while maintaining reliable and scalable testing practices.

LangProtect is an enterprise AI security platform built to address growing risks across AI tools, applications, and agent-based workflows. As organizations rapidly adopt generative AI, they face critical challenges such as prompt injection, sensitive data exposure, and lack of governance across distributed AI usage.

The client approached Quokka Labs to design and develop a scalable solution that provides real-time visibility, control, and protection across the AI interaction layer, where most security risks occur.

We built a multi-layered platform that monitors employee AI usage, secures AI applications in production, and enforces policy controls across emerging agent ecosystems. The system includes real-time prompt inspection, sensitive data detection, jailbreak prevention, and centralized governance dashboards for enterprise teams.

The platform was designed to operate with minimal latency while maintaining high detection accuracy, enabling organizations to secure AI workflows without impacting performance or user experience.

Key capabilities delivered include:

• Real-time prompt and response monitoring
• Detection of prompt injection and jailbreak attempts
• Protection of PII and PHI data
• Shadow AI visibility across 100+ tools
• Policy enforcement across AI applications and agents
• Centralized audit logs for compliance and governance

Results achieved:

• Over 100,000 AI interactions monitored and secured
• Detection and mitigation of high-risk prompts in real time
• Coverage across multiple AI tools and environments
• Sub-5ms response time for risk detection
• Improved enterprise visibility and control over AI usage

LangProtect enables organizations to move from reactive AI moderation to proactive AI security and governance, ensuring safe and compliant adoption of AI at scale.