CreateBytes

CreateBytes is an AI product engineering studio headquartered in India, operating from the Delhi NCR region. The organisation focuses on software and product engineering with an emphasis on embedding machine learning and generative AI capabilities into customer products. Public statements indicate a client base spanning multiple organisations and completed engagements, suggesting activity beyond a single local market.

Services and Capabilities

• AI and Machine Learning Development — design and implementation of ML models and generative AI components integrated into applications.
• Product Engineering — end-to-end software development for minimum viable products (MVPs) and iterative product releases.
• MLOps and Model Lifecycle Management — deployment, monitoring, and maintenance processes to keep models production-ready and data-driven.
• Data Platforms and Analytics — data ingestion, processing pipelines, and analytics components to support model training and product features.
• System Integration and APIs — integration of AI components with existing systems through APIs and backend services.
• Automation and DevOps — CI/CD pipelines, automated testing, and infrastructure automation to support rapid iteration.

Industry Focus

• Software and technology product development — implementation of AI features and backend services for software products.
• Organizations seeking AI-enhanced customer experiences — work includes embedding generative AI and recommendation systems into product workflows.
• Data-driven operations — projects that require building analytics pipelines and operationalizing models for continuous use.

Technology and Delivery Approach

• Integration-focused delivery — work routinely connects models and services to client systems via APIs and backend integration layers.
• Data-centric engineering — projects include building data pipelines, feature stores, and analytics layers to support model training and product functionality.
• Operationalization of models — MLOps practices such as automated deployment, monitoring, and retraining are part of delivery scope.
• Automation and CI/CD — use of automation for testing, build, and deployment to accelerate iteration cycles.
• Use of generative AI components — incorporation of generative models into product features where applicable, delivered as software components within client applications.