Custom AI Development Services

Project cost depends on the complexity of the solution, the models and infrastructure involved, and the scope of integration with your existing systems. A focused AI agent or RAG system typically starts from $20,000–$40,000. Enterprise automation projects with deep integrations range higher. We provide a detailed estimate after a discovery session where we review your requirements and technical environment.

A proof of concept typically takes two to four weeks. A production-ready MVP ranges from two to four months depending on complexity and integration requirements. We will give you a realistic timeline after reviewing your scope.

Yes. We integrate AI with CRM and ERP platforms, internal databases, document management systems, communication tools, and custom applications. We work with REST and GraphQL APIs and build custom middleware where needed.

Yes. We build RAG systems and private LLM deployments that work entirely on your own data without sending it to third-party model providers. Your documents stay within your infrastructure.

We handle the full pipeline: data ingestion, cleaning and chunking, embedding generation, vector storage, retrieval logic, and LLM response generation. We work with Pinecone, Weaviate, Qdrant, and pgvector depending on your infrastructure and scale requirements.

Both, depending on the use case. Most projects start with prompt engineering and RAG, which covers the majority of business needs without fine-tuning. When domain-specific accuracy or performance requires it, we do model customization and fine-tuning on your data.

Yes. We support on-premise and private cloud deployment using open-source models such as Llama and Mistral, as well as private deployments through Azure OpenAI and AWS Bedrock where data stays within your environment.

We work with GPT-4o, Claude, Gemini, Llama, Mistral, DeepSeek, Whisper, Stable Diffusion, and Flux. Model selection depends on your use case, data privacy requirements, and infrastructure.

Yes. We can integrate AI engineers into your existing team on a dedicated or part-time basis. All developers sign NDA before joining and go through your onboarding process.

Yes, always. NDA is signed before any project details are shared or discussed.

Tell us about your project and we will schedule a discovery call to review your goals, data environment, and technical requirements. After the call we will outline the recommended approach and next steps.