OpenAI

Turn OpenAI models into products and processes that generate results

OpenAI offers some of the most widely used AI models on the market for generating text, analyzing information, processing images and audio, and building agents. At Rootstack, we integrate them into your applications and operations securely and scalably, focusing on use cases that deliver measurable business value.
OpenAI services for companies
Conversational assistants
We develop chatbots and copilots for customers and internal teams, connected to your knowledge base and systems.
Smart Search and RAG
We combine embeddings and information retrieval so your teams can find precise answers in documents, manuals, and proprietary databases.
Agents and Automation
We create agents with function calling and structured outputs that execute tasks, query APIs, and automate end-to-end workflows.
Voice, image, and content
We integrate transcription, speech synthesis, image analysis, and content generation into your digital products.

OpenAI makes its models available via API and through Microsoft Azure with the Azure OpenAI Service—a common choice for companies already operating within the Microsoft ecosystem that require additional security and compliance controls.
Thanks to its extensive ecosystem of tools, SDKs, and community support, teams can quickly move from prototype to production-ready solution and adapt it as their needs evolve.
Key Features
Versatile models for text, image, and audio
Function calling and structured outputs to integrate AI with your systems
Embeddings for semantic search and RAG
Availability via API and Azure for various business requirements
Our implementation process
1
Discovery
We define objectives, priority use cases, data, and success criteria.
2
Design of the solution
We select the models and architecture, and design prompts, RAG, and security controls.
3
Development and Integration
We implement the solution and integrate it with your applications, APIs, and data sources.
4
Testing and Deployment
We evaluate accuracy, latency, and costs, apply security policies, and deploy with monitoring.

