AI Development Services

An AI development company designs, builds, and deploys custom artificial intelligence solutions including machine learning models, generative AI applications, computer vision systems, and autonomous agents. Azumo has provided AI development services since 2016, delivering 100+ projects for clients including Meta, Discovery Channel, Zynga, Omnicom, and Stovell AI across industries including media, gaming, fintech, and healthcare

Our process starts with a paid 2-3 week discovery engagement where we assess your data, infrastructure, and use case requirements. From there we move through model selection, data annotation, training, and iterative refinement. For LLM-based projects, we evaluate GPT, Claude, LLaMA, and Mistral against your specific accuracy and cost requirements before committing to an architecture. For custom ML, we use PyTorch and TensorFlow with structured experiment tracking via MLflow. Different AI architectures carry different cost and timeline profiles. We evaluate trade-offs between custom-trained models, fine-tuned foundation models, and prompt-engineered LLM solutions early in discovery so you commit resources to the right approach. Every project includes evaluation benchmarks so you can measure model performance against your baseline before deployment. We have been building and deploying AI systems since 2016.

Yes. We integrate AI into existing systems through APIs, middleware, and direct database connections. We have integrated AI with Salesforce, SAP, ServiceNow, HubSpot, and custom internal platforms. For example, we built semantic search on top of Meta's existing infrastructure using GPT-2, and deployed real-time generative AI into Stovell AI's 24/7 financial platform. Our integration work covers authentication, data pipeline configuration, latency optimization, and monitoring. SOC 2 compliance is maintained throughout

Azumo works across the full AI stack: LLMs (OpenAI GPT, Anthropic Claude, LLaMA, Mistral), ML frameworks (PyTorch, TensorFlow, scikit-learn), agentic frameworks (LangChain, LangGraph, CrewAI), vector databases (Pinecone, Weaviate, pgvector), cloud platforms (AWS Bedrock, Azure AI, Google Vertex), and deployment tools including Docker, Kubernetes, and MLflow.

This depends on approach and scope. In our experience, AI development projects typically range from $15,000 for focused proof-of-concept work to $500,000+ for enterprise-scale production systems. Cost depends on model complexity, data requirements, system integrations, and whether the project involves training custom models or fine-tuning existing ones. Azumo provides detailed estimates after a discovery engagement that defines scope, architecture, and data readiness. AI tooling advances have significantly reduced development costs since 2023, making production-grade AI accessible to companies that previously could not justify the investment.

Developing a custom AI solution tailored to meet specific client needs can vary significantly based on the complexity and scope of the project. Generally, the development of an AI-based product typically takes between 4 to 9 months. But factors such as the expertise of the AI development team and the efficiency of the processes in place can play significant roles in ensuring timely and successful completion. As an AI development services company, we have felt strongly that most customers are served with a lean approach to AI development, especially when trying to leverage emerging tools and technologies. With that said we believe smaller Proofs of Concepts (or POCs) can help accelerate the delivery process of a final solution that will meet customers needs and expectations.

We have delivered AI projects across fintech (predictive pricing, fraud detection), healthcare (document processing, clinical NLP), media and entertainment (content generation, voice AI), gaming (AI assistants, LiveOps), e-commerce (recommendation engines, search), manufacturing (visual inspection, quality control), and oil and gas (operational automation, data extraction). Our SOC 2 certification and experience with HIPAA, GDPR, and SOX compliance requirements support work in regulated industries.

AI development services cover the design, building, and deployment of intelligent systems that automate tasks, extract insights from data, and augment human decision-making. This includes custom model training, LLM application development, computer vision, NLP, AI agent development, and integration of AI into existing business software. Azumo has provided AI development services since 2016, delivering projects across the full AI lifecycle: data assessment, model selection, training, evaluation, deployment, and ongoing optimization. Our work spans industries including fintech, healthcare, media, gaming, and e-commerce, with all projects delivered under SOC 2 compliance. Common applications include generative AI for personalized content and recommendations, custom models fine-tuned for domain-specific security and compliance requirements, and AI integration with existing CRMs, ERPs, and operational systems.