Service

Enterprise AI Platform

Introduce GenAI into your organization in a secure, predictable way aligned with enterprise standards. Our LLM Ops platform — StarBoost for AI — provides a ready-to-use environment for building, testing, and deploying LLM-based solutions. With one cohesive ecosystem, teams can move faster from idea to measurable business value.

sztuczna inteligencja w biznesie: wdrożenie rozwiązań AI przez specjalistów IT

Accelerate GenAI transformation in your organization

Our StarBoost for AI platform enables a rapid transition from experimentation to production-ready GenAI solutions. It standardizes processes, reduces costs, and ensures secure data flows across the organization. It forms the foundation for successful enterprise-scale AI deployments.

What is the LLM Ops Platform?

StarBoost for AI is an LLM Ops platform designed for large organizations that want to move from GenAI experimentation to stable production environments. It provides ready-made tools, consistent processes, and built-in safeguards required for enterprise-level AI implementation.

The platform democratizes GenAI, enabling software engineers to become AI engineers while making the technology accessible to business users and non-technical teams alike.

Explore the platform’s key capabilities:

Rapid Prototyping (RAG & LLM)

With ready-to-use RAG templates, built-in integrations, and automated configuration, teams can build an AI application prototype in under 10 minutes. StarBoost for AI reduces the time from idea to PoC from weeks to days.

LLM Model & Cost Management

The platform provides access to commercial and open-source models, self-hosting capabilities, and granular cost monitoring. It enables centralized management of models, experiments, and GenAI budgets.

LLM Ops – Monitoring & Optimization

Full observability of LLM-based systems: traces, tokens, costs, AI loops, and RAG evaluation pipelines.
StarBoost for AI supports continuous improvement of response quality, performance, and cost efficiency.

Security & Governance

Guardrails as code, vulnerability scanning, security policies, and full control over data flows.
The StarBoost for AI security layer also supports implementations leveraging the AI Security & Regulatory Compliance service.

Integrations with Leading AI Models

Our LLM Ops platform, StarBoost for AI, integrates with key AI providers and services, including:

OpenAI, Azure AI, Anthropic, Gemini, Amazon Bedrock, Vertex AI, LLaMA, Mistral AI, and other enterprise AI solutions. This allows you to leverage multiple models within one unified, consistent environment.

Business Benefits of Implementing the LLM Ops Platform

Up to 90% faster prototyping

Reduced operational costs

Secure and predictable GenAI deployment

Full LLM environment observability

Enterprise AI scalability and standards

FAQ

What is an LLM Ops platform and how does StarBoost for AI work?

An LLM Ops platform is an environment for managing large language models, monitoring their performance, optimizing their operations, and securely deploying them within an organization. StarBoost for AI provides ready-to-use tools for RAG, LLM monitoring, cost tracking, and guardrails implementation.

Is StarBoost for AI compliant with regulations and security policies?

Yes. The platform supports compliance with the EU AI Act and includes guardrails as code, vulnerability scanning, full audit capabilities, and complete control over data flows.

Does StarBoost for AI support self-hosting of LLM models?

Yes. The platform supports both commercial and open-source models, as well as fully self-hosted LLMs running within the client’s infrastructure or on-premise environments.

What types of data can be used within StarBoost for AI?

The platform works with text data, documents, databases, APIs, and knowledge repositories — all within a framework aligned with the organization’s security policies.

How quickly can I launch a GenAI application prototype?

With ready-to-use RAG templates, a prototype can be built in under 10 minutes, and a full Proof of Concept (PoC) can be delivered within 1–4 weeks.

Does StarBoost for AI integrate with my cloud and IT architecture?

Yes. It operates in multi-cloud, hybrid, and on-premise environments, integrating seamlessly with legacy systems, APIs, and microservices.

Who is StarBoost for AI best suited for?

It is designed for large organizations that want to deploy GenAI in production, maintain full cost control, and ensure the highest standards of data security.