AI products for customers and teams
Applications that help people search, analyze, create, or complete a valuable task, with the experience and AI behavior designed together.
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.
One team from idea to launch. Work directly with senior product, AI, software, and data specialists who can design the experience, build the system, connect it to your business, and support it in production.
01
Dotnitron is an integration layer, not a model lab
We focus on the engineering required to make models useful in the enterprise: resilient data pipelines, structured context assembly, retrieval workflows, evaluation loops, tool orchestration, and interfaces that fit how teams already work.
02
Why flexible model selection matters
Model capabilities change quickly. We separate workflow logic, validation, review interfaces, and provider calls so the client can change approved model providers without rebuilding the entire workflow.
03
What we integrate into your systems
We compose workflows using the client's approved model providers, OCR and document intelligence services, search/vector stores, SQL databases, SharePoint or Drive repositories, and custom internal APIs.
04
Preventing vendor lock-in
We use standardized interfaces and abstract the underlying AI services where possible. The workflow logic, validation layer, and review experience are designed so the client can change model providers without rebuilding the entire system.
Where this can help
Start with the change your users or business need.
You may want a better customer experience, more capacity for your team, or a faster way to reach an important decision. We help you turn that need into the right product or system.Systems for expert work
Document and knowledge systems that prepare analysis, surface evidence, and give experts control over consequential decisions.
Operational data and decision systems
Applications that connect approved business data, visible query logic, and useful answers to the people running the business.
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 design around customer-mandated model providers, private endpoints, cloud AI services, or internally hosted models.
Technology partnership
Build with an OpenAI Select Partner.
Recognized by OpenAI for helping organizations build, deploy, and scale AI solutions.Have something in mind?