Boost Your Business with Data+AI

Turn your data into intelligent systems that drive results

We help organizations build a strong foundation for AI

Database Modernization & Optimization

We help organizations make better use of their existing data by improving and modernizing database solutions. This includes analyzing database structures, identifying inefficiencies, and implementing best practices to ensure data integrity and performance.

We also support the transition from legacy systems, such as Microsoft Access or other outdated on-premise databases, to modern and scalable platforms like Azure SQL.

The result is a reliable, secure, and future-ready database that supports automation and AI solutions.

Workflow Automation & Integrations

We help organizations streamline operations by designing and implementing efficient automated workflows. Our work begins with analyzing current processes, identifying bottlenecks, and creating clear specifications aligned with your business goals.

We design solutions that connect systems through APIs, enabling seamless data flow between them. From specification to implementation, we ensure workflows are reliable, scalable, and easy to maintain.

The result is faster, more consistent processes that reduce manual work and errors—freeing up time for more valuable tasks.

AI, Agents & Intelligent Systems

We design and implement AI-driven automation solutions that go beyond rule-based workflows. Built on well-structured data and processes, we develop intelligent agents capable of handling complex, context-dependent tasks using large language models (LLMs).

Our solutions integrate with existing systems through APIs or webhooks, allowing agents to interact with databases, business applications, and external services in real time.

We focus on reliability and maintainability to ensure AI components perform effectively in production environments.

The result is automation that reduces manual work.

Case Study: Agentic AI for SaaS application

This case study demonstrates the integration of agent-based AI capabilities into a SaaS application architecture. The system utilizes locally hosted LLM models, accessed through a custom-built user interface.

Within the interface, a chat-style panel is implemented in the application’s sidebar to enable interaction with agents. The agents can perform actions via webhooks and operate with awareness of the SaaS application's current context. This means the AI receives the necessary information directly from the application to complete tasks effectively.

Company Information

Brinkhill Oy
Business ID (Y-Tunnus): 2218798-8

Address
Joukolantie 3 G 83, 00610 Helsinki, Finland

Contact
Mikko Salmi, Solution Architect
+358 41 5454 254
mikko.salmi@brinkhill.com