The OAI Open-Source Stack
A Practical, Future-Proof AI Stack for the Enterprise
The open-source AI ecosystem evolves fast. Tools change, models improve, and infrastructure options expand.
At OAI.co, we don’t lock enterprises into fragile or short-lived technologies. Instead, we design and deploy a modular, vendor-neutral open-source AI stack—built to adapt as the ecosystem evolves while remaining stable in production.
Models
Open, Transparent, and Adaptable
Model layers typically include:
- Open-source LLMs (e.g., instruction-tuned and base models)
- Domain-specific fine-tuned models
- Embedding and reranking models
- Multimodal models (text, image, audio)
- Classical ML models where appropriate
Infrastructure
On-premise and private cloud deployments
Hybrid architectures
CPU- and GPU-optimized execution
Scalable inference and training pipelines
High-availability and fault-tolerant design
Orchestration & Tooling
AI systems are more than models—they are coordinated workflows operating across data, tools, and users.
Workflow and pipeline orchestration
Design and manage end-to-end AI workflows that coordinate data ingestion, model execution, validation, and deployment. Orchestration ensures reliable execution, scalability, error handling, and monitoring across complex, multi-step pipelines—whether batch, real-time, or event-driven.
AI Agent Frameworks
Build intelligent, autonomous agents that can reason, plan, and act across tools and data sources. These frameworks enable multi-agent collaboration, task delegation, memory management, and decision-making to automate complex business and operational workflows.
Retrieval-Augmented Generation (RAG) Systems
Enhance AI accuracy and relevance by combining large language models with enterprise knowledge sources. RAG systems retrieve context from documents, databases, or APIs in real time, grounding model responses in trusted, up-to-date information and reducing hallucinations.
API and Microservice Layers
Expose AI capabilities through secure, scalable APIs and modular microservices. This approach allows models, agents, and workflows to be independently deployed, updated, and scaled while supporting seamless integration across applications and platforms.
Integration with Enterprise Systems and Tools
Connect AI solutions with existing enterprise infrastructure such as CRMs, ERPs, data warehouses, ticketing systems, and collaboration tools. These integrations ensure AI operates within real business processes, enabling automation, insights, and decision support across the organization.
This layer ensures AI behaves predictably, integrates cleanly, and remains maintainable over time.
Evaluation & Monitoring
Measure What Matters in Production
Enterprise AI must be observable, measurable, and continuously improving.
Model performance benchmarking
Quality and relevance evaluation
Latency and throughput monitoring
Cost and resource utilization tracking
This layer ensures AI behaves predictably, integrates cleanly, and remains maintainable over time.
Designed for Change
Vendor-Neutral by Design
The OAI stack is intentionally high-level and interchangeable. Components can be swapped, upgraded, or replaced without re-architecting the entire system.
This approach delivers:
- No vendor lock-in
- Easier upgrades as models improve
- Lower long-term risk
- Greater organizational flexibility
Your AI stack should evolve with technology—not be trapped by it.
From Stack to System
The OAI Open-Source Stack is not a product—it’s a reference architecture we adapt to each client’s needs.
We help enterprises design, build, and operate AI systems that are:
- Open
- Secure
- Scalable
- Maintainable
Build on a Stack You Can Trust
If you’re evaluating open-source AI technologies or planning a production deployment, OAI.co provides the expertise to turn today’s ecosystem into tomorrow’s reliable system.