SERVICES

AI and LLM Solutions

We do not leave RAG architectures, AI Agent workflows and LLM-based automation at the demo stage. We evaluate them with real users, enterprise data, security requirements and operating conditions, and take them into production.

Controlled AI that works with enterprise data

The most critical question in an AI project is which data goes to which model with which permissions. We treat that question as part of the architecture decision. We choose open source and commercial models based on data structure, security requirements, expected accuracy, response time and total cost of ownership. Every output is reviewed and verified by our engineering teams.

Enterprise RAG architectures and smart search
AI Agent workflows that operate with defined permissions
Integration with documents, APIs and existing applications
Evaluation, hallucination control and observability
Access control and personal data protection requirements
Model selection driven by cost and latency
Modern development hardware used by the software team

When do we work together?

Our AI work usually starts with one of three needs. In each case we define measurable success criteria and the steps that require human approval from the start.

Natural language access to company knowledge

We make the knowledge in documents, records and systems accessible through a RAG architecture that is accurate, secure and traceable to its sources.

Automation of repetitive tasks

We run multi-step and repetitive work through controlled agent workflows that interact with enterprise systems. Human approval stays in place at critical steps.

AI features for an existing product

We add smart search, recommendations, classification or assistant features to your running software while keeping your quality and security controls in place.

From PoC to production

We do not take AI solutions live before they pass through real system integration, security, evaluation and operations steps.

01
PoC and use case validation
02
Data and access model
03
Real system integration
04
Security and evaluation
05
Monitoring and cost control
06
Operations and continuous improvement

Our approach to data security

For personal data and corporate information we consider KVKK requirements, company policies, provider terms and access boundaries together. Using AI-supported tools does not mean that client data may be used to train models. We state these principles clearly in our Privacy Policy.

Let us bring AI into your business processes safely.

Share your use case and the structure of your data. We will evaluate the right architecture, model choice and security requirements together.

Let Us Discuss Your Project
Continuous Technical Support
Fast Team Integration
Transparent and Measurable Progress
Scalable Architectures