MLOps & LLMOps Services

Implement robust MLOps and LLMOps pipelines for seamless model deployment, monitoring, and continuous improvement. Agochar provides mlops services that help businesses leverage AI technology to automate processes, gain insights, and create competitive advantage.

MLOps project timelines vary based on complexity. Simple implementations take 4-8 weeks. Medium complexity projects require 2-3 months. Enterprise-grade solutions with multiple integrations may take 3-6 months. Agochar provides detailed estimates during our free initial consultation.

Agochar uses industry-leading technologies for MLOps including TensorFlow, PyTorch, LangChain, OpenAI GPT-4, Anthropic Claude, Hugging Face Transformers, and cloud platforms like AWS SageMaker and Azure ML. The specific stack depends on your project requirements.

MLOps costs depend on project scope. Simple implementations start at $15,000-$30,000. Medium complexity projects range $40,000-$100,000. Enterprise solutions cost $100,000-$500,000+. Agochar provides detailed proposals after understanding your specific requirements.

Yes, Agochar provides comprehensive post-launch support for MLOps including monitoring, optimization, model retraining, updates, and maintenance. Our MLOps services ensure your AI systems perform optimally in production with 24/7 support options.

Absolutely. Agochar specializes in integrating MLOps capabilities with existing enterprise systems, APIs, databases, and workflows while maintaining security and compliance requirements. We build seamless integrations that leverage your current technology investments.

Agochar has delivered MLOps solutions across industries including healthcare, fintech, e-commerce, manufacturing, legal, education, and enterprise software. We bring domain expertise to each project to ensure solutions address real industry challenges.

Agochar ensures quality through rigorous testing including unit tests, integration tests, evaluation benchmarks, A/B testing, and human evaluation. We implement monitoring systems to track performance, detect drift, and trigger retraining when needed.

Yes, Agochar offers consulting services to help you identify the best MLOps opportunities for your business. This includes feasibility assessment, use case identification, technology stack recommendations, ROI analysis, and roadmap development.

Starting a MLOps project with Agochar is simple: (1) Contact us via the form or email, (2) We schedule a free discovery call within 24 hours, (3) We analyze requirements and provide a detailed proposal, (4) Upon approval, we begin with a project kickoff meeting.