Local AI
ASAP builds and deploys private AI solutions (on-premise LLM) that run directly within your infrastructure or private cloud.
Contact usAI is changing the way business works
On-premise AI gives organizations the ability to harness the power of large language models, while retaining control over their data, access, and the way AI is integrated into their existing technology environment.
This way, AI can become part of the organization's daily work — supporting employees, automating repetitive tasks, and working with corporate information in a controlled environment.
What do you get?
We build an AI solution that fits your working environment and complies with your organization's requirements. You gain control over your information, freedom from external AI providers, and the ability to adapt the technology to your own processes, systems, and knowledge.
Full control over your data
Your information stays within your organization. AI operates in a secure environment, which supports compliance with internal security policies and applicable regulatory requirements.
Independence from external AI platforms
You are not tied to a specific public AI provider. You retain control over the system, the models, and how AI is used within the organization.
A predictable cost model
Under the right workload, an in-house AI environment can reduce dependence on per-request billing from external providers and provide more stable budget planning.
Adaptation to your data
AI is enhanced with your documents, knowledge, terminology, and business processes through appropriate techniques for working with corporate data and models.
AI in the Bulgarian language
We select and tune models according to the specific task, including for working with the Bulgarian language and specialized professional terminology.
Integration with your systems
We connect AI with your existing applications, databases, documents, internal portals, and other corporate sources of information.
How does implementation work?
We build the private AI environment in stages — from analyzing your specific business needs to deployment, integration, and ongoing support. This way, the architecture, the model, and the infrastructure are matched to your real data, workload, number of users, and security requirements.
Analysis of needs and AI use cases
Sizing and designing the infrastructure
Deployment and integration of the AI environment
Testing, training, and ongoing support
Analysis of needs and AI use cases
Sizing and designing the infrastructure
Deployment and integration of the AI environment
Testing, training, and ongoing support
Not sure what AI infrastructure you need?
You don't need to start by choosing a model or hardware. Start with the problem you want to solve. We will analyze your case and propose an architecture based on your data, number of users, required performance, and security requirements.
Let's discuss how AI can fit into your systems.
Contact us