Artificial Intelligence
Clavrit’s expertise in cutting-edge technologies such as Generative AI, Agentic AI, NLP, Vision and MLOps enable you to build more intelligent, adaptive solutions that leverage the latest AI capabilities while ensuring scalable and secure performance in the cloud. By combining these technologies with our deep learning and automation expertise, we empower businesses to transform their products and operations with next-generation AI.
Using these innovations, we have developed several groundbreaking solutions to meet diverse industry needs. One ongoing development is a SaaS-based Idea-to-MVP platform, which drastically cuts the time required to develop a minimum viable product from several months to just a few days. This accelerates client feedback and decision-making, helping businesses grow faster. Additionally, we have created an AI-powered semantic search engine enhancing information retrieval and a content creation tool that helps organizations unlock deeper insights and accelerate creative workflows.
Startups leverages AI to disrupt industries, but they often face resource and expertise limitations. Clavrit provides tailored AI support for growth by offering free MVP development and advisory services. We offer you expert guidance, scalable solutions and necessary tools to integrate AI into your products and business that accelerates innovation and identify key AI use cases and implementation strategies.
Case Study 1
Optimizing processes through AI
Industry: Healthcare
Product: Solar energy-based Oxygen Generation
Objective: Create AI Dashboards for optimization, preventive maintenance and sustainability
Overview:
The Customer offers Integrated oxygen plants that use solar energy to power the oxygen generations. They create trusted oxygen sites that are ready to serve reliably. The customer works with hospitals and home care agencies to ensure seamless oxygen supply.
The customer is located in a market that has challenges of inconsistent healthcare delivery due to limited access to medical oxygen. The customer has a unique eco-friendly business of using Solar powered plants to produce oxygen. Such plants can be attached to hospitals do ensure seamless supply of medical oxygen to all wards, from neonatal to emergency wards. The locations of such plates are often remote and high availability has to be ensured as there is a critical dependency on supplies of oxygen.
Solution:
Clavrit works together with the customer for digital transformation and create solutions to streamline the entire process, from onboarding facilities and managing inventory to scheduling deliveries. By eliminating inefficiencies and optimizing the flow of medical oxygen, we ensure that no patient is left waiting at critical moments.
Clavrit has supported the implementation of user-friendly software and digital platforms that make it easy for healthcare facilities to register with patients and manage their oxygen inventory.
These tools automate tasks like tracking oxygen levels, scheduling refills, and coordinating deliveries, reducing the chance of errors and ensuring a seamless supply chain. Clavrit has developed the optimization, preventive maintenance and sustainability dashboards which offer real-time reports on availability, logistics, pre-order, maintenance and other important metrics. The sustainability dashboard offers insights into solar energy generation, carbon offset and other such parameters that help the customer showcase the impact that the solution creates. This allows them to meet their social and environmental expectations from patients and stakeholders.
Results:
Inventory Tracking: Real-time tracking of generated oxygen and optimized production based on demand. Visualize patient cases and diagnosis summary.
Preventive Maintenance: Accurate forecasts of equipment’s maintenance. To prevent failures and reduce operation costs. Visualizes equipment’s run-time, previous maintenance summary and possible scenarios causing failure.
Impact Analytics: This sustainability dashboard visualizes insights between solar and an electricity powered plant on relative cost savings, efficiency improvements and better customer experience.
Case Study 2
Capture and report traffic offences in real-time using AI ensuring safer roads and disciplined society
Industry: Smart City & Traffic Management
Product: A mobile app that enables automatic vehicle offence detection and reporting driven by AI
Objective: Develop an easy-to-use, mobile application that empowers both traffic authorities and everyday citizens to quickly detect, document, and report vehicle traffic violations in real time—helping improve road safety without the need for costly infrastructure.
Overview
India faces a serious challenge when it comes to traffic rule enforcement. While big cities have installed surveillance cameras on highways and main roads, these systems come with high costs and regular maintenance, and they still can’t cover every street or area. As a result, many traffic violations go unnoticed, increasing the risk of accidents and unsafe roads.
Moto Lens AI solves this problem in a simple and powerful way — by turning every smartphone into a smart enforcement tool. Built for both traffic authorities and everyday citizens, the app uses AI technology to detect violations like helmetless riding, triple riding, wrong-side driving and many more offences with vehicle’s number plate, all in real time.
Solution:
Moto Lens AI simplifies traffic violation reporting by turning any smartphone into a smart enforcement tool. The app is designed for both citizens and traffic officials to capture and report offenses in just a few steps — no need for expensive infrastructure or technical expertise. Here’s how it works:
When a user opens the app, they simply record a short 5–10 second video of a scene where a traffic offense is occurring. After capturing the footage, the user taps on the specific vehicle in the video, prompting the app to analyze and identify any violations committed by the vehicle extract the its license plate using AI-powered detection models.
To ensure accuracy, especially on lower-end devices, the app includes a built-in video super-resolution feature that improves video clarity before analysis. Within seconds, Moto Lens AI generates a complete offense report, including the violations detected, the vehicle’s license plate, the location and time of the incident, and a short clip of the original video as a proof of offence.
The user can then choose how to report this offense: they can send it directly to nearby traffic authorities, share it on social media, or submit it anonymously to Moto Lens AI’s official platform. For traffic officers using the app, the process is streamlined further — they can directly issue challans from within the app.This intuitive and affordable solution not only empowers law enforcement but also enables ordinary citizens to participate in making roads safer, without relying on expensive surveillance infrastructure.
Results:
Affordable and Scalable enforcement: Eliminates the need for expensive roadside cameras and manual patrols. Anyone with a smartphone can now help enforce traffic rules, making the system highly scalable.
Instant reporting and Automated analysis: AI detects offenses and license plate numbers within seconds, enabling quick action with minimal the need for manual review.
Safer roads and Disciplined society: AI enables instant offence reporting independent of location resulting in responsible driving behavior and reduced traffic violations, making roads safer for all.
Achievements:
Clavrit was awarded as the top 10 startups among all the companies exhibiting at the event “32nd Convergence India Expo, 2025” presented by the Dubai World Trade Center.
Case Study 3
Estimate your next Agile Project with Generative AI
Industry: Project Management
Product: Manage Agile Projects to Budget
Objective: Simplify agile team performance tracking with using the power of Generative AI
Overview
Software projects on average run 66 percent over budget and 33 percent over schedule, making it difficult for business executives to manage stakeholder expectations. Project managers rely heavily on project collaboration tools for managing tasks, but find it difficult to track team performance against an accurate project baseline.We created Baseliner.ai to measure and track team performance with an accurate baseline across your project portfolio.Baseliner.ai combines Generative-AI and 3-point estimation to establish an accurate project baseline to track team performance to task estimates.
Solution
Baseliner.ai measures and track team performance with an accurate baseline across your project portfolio. Clavrit’s expertise in Generative AI made Baseliner.ai intelligent by developing AI models to establish an accurate project baseline to track team performance to task estimates. Users can sync with Jira to upload task information, or manually upload tasks using excel upload and download feature that includes task descriptions and Labels for Generative AI analysis. Next, Baseliner.ai will estimate tasks using 3-Point estimation technique combined with Generative AI to calculate risk and uncertainty based on task characteristics to establish the project baseline where user receives early alerts and warnings using AI when tasks need intervention across your project portfolio.
Results
Radical transparency: Baseliner.ai allows stakeholders to visualize the impact of scope and time project changes in real-time against budget performance.
Tracking team performance: Baseliner.ai allows project managers to sync actual time spent and track task estimates with easy visual graph representation to measure team productivity.
Seamless integration: Baseliner.ai provides integration to Jira and Excel, ensuring tasks are kept in sync with your team’s day-to-day task management and planning activities.