Service Integration
Model-agnostic AI integration for enterprise workflows.
We don't build foundation models. We evaluate, integrate, and orchestrate the best third-party AI services to build secure, high-performance systems.
What is Dotnitron? Dotnitron is an applied AI company that helps enterprises turn proven AI models, third-party AI services, and internal data systems into secure production workflows. We are not a foundation model company; we evaluate, integrate, and operationalize best-fit AI technologies.
Dotnitron is an integration layer, not a model lab
We focus on the heavy engineering required to make models actually useful in the enterprise. This means building resilient data pipelines, structuring unorganized data lakes, and implementing sophisticated RAG (Retrieval-Augmented Generation) architectures.
Why model-agnostic architecture matters
The state-of-the-art model changes every few months. By abstracting the AI inference layer behind unified interfaces (like LiteLLM), we ensure you can instantly swap from OpenAI to Anthropic to an internal open-source model without rewriting your application logic.
What we integrate into your systems
We compose workflows using Azure OpenAI, Anthropic Claude, AWS Textract for OCR, Pinecone/Weaviate for vector storage, and connect them directly into your existing SQL databases, SharePoint, and custom internal APIs.
Preventing vendor lock-in
We use standardized interfaces (like OpenAI-compatible API endpoints for self-hosted models) and abstract the underlying AI services. Our workflows rely on deterministic Python/Node logic, not proprietary low-code platforms, ensuring you own the entire IP.
FAQ
Frequently asked questions
Why is being model-agnostic important?
No single AI model is best for every task. A model-agnostic approach allows you to use the most accurate, cost-effective, or secure model for each specific workflow, while protecting you from vendor lock-in.
Can you work with our approved AI providers?
Yes. We regularly build systems using customer-mandated providers like Azure OpenAI, AWS Bedrock, or internally hosted open-source models.
Ready to move beyond AI pilots?
Talk to an applied AI team that ships secure workflows for regulated enterprises.