RagaAI Collaboration: Building a Robust AI Testing and Monitoring Platform
As a founding member, Origins-AI collaborated with RagaAI to build a robust AI testing and deployment platform from the ground up. The work involved developing comprehensive testing solutions for applications ranging from computer vision to structured data models, facilitating seamless integration and efficient sprint processes. Key achievements included the creation of a drag-and-drop RAG (Retrieval-Augmented Generation) platform, effective team leadership, and introducing Open Telemetry for improved observability.
About Raga
Raga India, a subsidiary of Raga.com, launched in 2013, has become a leading e-commerce platform in India, offering a vast array of products across categories such as electronics, fashion, home essentials, and more. The platform provides services like Raga Prime, which includes benefits such as free and fast delivery, access to Prime Video, and exclusive deals. Raga India also supports local businesses through initiatives like Raga Saheli and Raga Karigar, promoting products from women entrepreneurs and artisans. Additionally, the company has invested significantly in infrastructure, including fulfillment centers and data centers, to enhance customer experience and support its operations in the country.
Our Partnership with Raga
Industry
Artificial Intelligence and Machine Learning
Services
AI Platform Development
Testing Automation
Application Monitoring
Business Type
AI Startup
Technologies Used
Computer Vision
Open Telemetry
Structured Data Models
Automated Testing
The Challenges
Team Coordination & Integration
Ensuring effective collaboration among Engineering, Data Science, and Product teams was challenging due to diverse expertise and differing project goals. This required a structured approach to maintain alignment across teams and achieve cohesive project outcomes.
AI Testing Complexity
Developing a unified testing platform for different AI models, including computer vision and structured data, posed significant complexity. Each model type had unique testing requirements, necessitating a streamlined approach to manage diverse data and output types efficiently.
Monitoring & Observability Accuracy
Establishing real-time monitoring for various application layers, particularly in batch and streaming modes, required a robust tracing mechanism to maintain application stability and traceability in production.
Automated Testing Pipeline
Setting up an automated testing pipeline for pre- and post-deployment was challenging, as it required consistent updates and modifications to support the evolving codebase, ensuring each deployment met quality standards.
The Solutions
Cross-Functional Team Processes
Established regular communication channels and alignment sessions between Engineering, Data Science, and Product teams.
Unified Testing Platform Development
Designed a flexible testing platform capable of accommodating various AI models. Consolidated test cases for different model types, allowing efficient testing without compromising on accuracy.
Enhanced Observability with Open Telemetry
Integrated Open Telemetry to generate traces, providing comprehensive visibility into application performance. This allowed real-time monitoring and quick diagnosis of potential issues.
Automated Testing Implementation
Built an automated testing pipeline that handled pre- and post-deployment scenarios, covering various stages of model validation.
See our Excellence being validated
What Our Partners Say?
Apoorva came in and not only took over the full backend technology but also built an amazing team of talented engineers who were hungry to make an impact. He optimized our technology function end to end starting from building an in-house technology team
Ashit Joshi
Ex Director of Engineering Chegg
Gaurav is super good at troubleshooting issues and does necessary research and identifies the approach/root cause. Given a problem he comes up with quick proposals/solutions with the required amount of research.
Sathishkumar Subramaniam
Amazon
From the start, Apoorva impressed me with his remarkable creativity. He consistently brought fresh perspectives and innovative solutions to the table, challenging the status quo and pushing our team to think outside the box.
Rupesh Bansal
Software Engineer
Frequently Asked Questions
What AI services does Origins AI offer for enterprises?
Origins AI provides end-to-end AI-driven solutions, including AI strategy consulting, data engineering, machine learning model development, AI agent deployment, and digital transformation services. We work with enterprises to modernize operations, enhance decision-making, and unlock new revenue opportunities.
Are your AI solutions compliant with industry regulations like ISO, SOC 2, or GDPR?
Yes. We follow globally recognized standards such as ISO 27001, SOC 2, and GDPR guidelines. Our solutions are designed with built-in compliance measures to ensure data privacy, security, and regulatory alignment for industries like healthcare, finance, and e-commerce.
How does Origins AI integrate AI into existing enterprise systems?
We specialize in integrating AI solutions into both modern cloud-based platforms and legacy systems. Using APIs, middleware, and custom connectors, our team ensures minimal disruption while enabling advanced analytics, automation, and real-time insights within your current infrastructure.
What engagement models do you offer for long-term or ad hoc AI needs?
We offer flexible engagement models, including dedicated AI teams, project-based contracts, time-and-materials agreements, and build-operate-transfer (BOT) partnerships. This allows enterprises to choose the most cost-effective and scalable option for their needs.
Do you provide fixed-cost or milestone-based pricing?
Yes. Depending on project scope and requirements, we can work on fixed-cost, milestone-based, or subscription-based pricing models, ensuring transparency and predictable budgets.
What industries benefit most from your AI solutions?
We serve industries including healthcare, fintech, retail, logistics, manufacturing, travel, and telecom. Our domain-specific AI models and expertise allow us to tailor solutions that solve sector-specific challenges and deliver measurable ROI.
Do you provide AI education and consultancy for internal teams?
Absolutely. We offer enterprise AI training programs, workshops, and consulting services to help upskill your teams in AI strategy, data science, and AI product deployment, ensuring sustainable AI adoption.
What frameworks and technologies do you use to speed up delivery?
We leverage modern AI and development frameworks such as TensorFlow, PyTorch, LangChain, MLOps pipelines, and container orchestration tools like Kubernetes. Our use of pre-built AI agents and modular architectures accelerates deployment timelines without compromising quality.
How do you ensure data security in your AI solutions?
We use advanced encryption (both at rest and in transit), secure authentication protocols, and continuous security monitoring. All data handling adheres to the principle of least privilege, ensuring maximum protection against unauthorized access.