AI & Machine Learning Development Services

Agochar specializes in leading AI/ML technologies including TensorFlow, PyTorch, LangChain, OpenAI GPT models, Anthropic Claude, Hugging Face Transformers, and vector databases like Pinecone and Weaviate. Our team has deep expertise in building production-ready AI systems including LLMs, RAG systems, computer vision, and NLP solutions.

AI development timelines vary based on complexity. A simple chatbot integration typically takes 2-4 weeks. A custom RAG system requires 4-8 weeks. Fine-tuning an LLM on your data takes 6-10 weeks. Complex AI platforms with multiple models may take 3-6 months. We provide detailed timelines during our free initial consultation based on your specific requirements.

Yes, Agochar provides comprehensive MLOps and maintenance services for AI systems. This includes model monitoring, performance optimization, retraining pipelines, drift detection, A/B testing, and 24/7 support for production AI systems. We offer flexible maintenance packages to ensure your AI systems continue to perform optimally.

Absolutely. Agochar specializes in integrating AI capabilities with existing enterprise systems, databases, and workflows. We implement proper data security measures, ensure compliance with regulations (HIPAA, GDPR, SOC 2), and design solutions that work seamlessly with your current infrastructure.

Agochar has delivered AI solutions across healthcare (clinical decision support, medical imaging), fintech (fraud detection, algorithmic trading), e-commerce (recommendation engines, dynamic pricing), legal (contract analysis, document review), manufacturing (predictive maintenance, quality control), and enterprise software (intelligent automation, knowledge management).

AI development costs depend on project scope and complexity. Simple AI integrations start around $15,000-$30,000. Custom RAG systems typically range from $40,000-$80,000. Full AI platforms with multiple models can range from $100,000-$500,000+. We provide detailed cost estimates during our free consultation based on your specific requirements and goals.

Yes, Agochar offers AI strategy consulting to help you identify the best AI opportunities for your business. This includes AI readiness assessment, use case identification, technology stack recommendations, ROI analysis, and roadmap development. Consulting engagements can be standalone or lead into full development projects.

Agochar ensures AI quality through rigorous testing methodologies including unit tests, integration tests, evaluation benchmarks, A/B testing, and human evaluation. We implement monitoring systems to track model performance, detect drift, and trigger retraining when needed. All models go through extensive validation before production deployment.

Yes, Agochar can build AI solutions for on-premise deployment, cloud deployment, or hybrid architectures. For sensitive data or regulatory requirements, we can implement fully on-premise solutions with local model hosting. We also support edge AI deployment for IoT and mobile applications.

RAG (Retrieval-Augmented Generation) is an AI architecture that combines large language models with your proprietary data to provide accurate, context-aware responses. Use RAG when you need AI that can answer questions about your specific documents, knowledge base, or data. RAG is ideal for customer support, internal knowledge management, and document Q&A systems.

Agochar implements enterprise-grade security for all AI projects including data encryption (at rest and in transit), access controls, audit logging, and secure API endpoints. We can work with anonymized data, implement differential privacy, and ensure compliance with HIPAA, GDPR, SOC 2, and other regulations based on your industry requirements.

Yes, Agochar provides comprehensive training and knowledge transfer as part of our AI development projects. This includes technical documentation, hands-on training sessions, best practices guides, and ongoing support to ensure your team can effectively use, maintain, and extend the AI systems we build.