AI & machine learning
RAG & AI agents
Computer vision · Tesseract OCRLocal LLMs (on-premise)
TECHNOLOGY STACK
From web and mobile apps to AI workflows, we choose the tools to fit your users, existing systems and business requirements.
WHAT WE WORK WITH
These are the technologies we work with. Each project uses the combination that fits its scope and the team that will run it.
RAG & AI agents
Computer vision · Tesseract OCRNode.js · Python
Nest.js · ExpressReact · Next.js
React Native · Expo
React + CapacitorPostgreSQL · MySQL
MongoDB · RedisRaspberry Pi · MQTT
OTA updates · ProvisioningAWS · GCP · Vercel
Docker · DigitalOceanMicroservices
Event-driven systemsTHE CHOICE STARTS WITH CONTEXT
We work out what the software needs to do, where it will run and who will maintain it before choosing the stack.
That includes your existing systems, integration options, data needs and expected usage. For AI and machine learning, we assess the source data, model quality and how people will review the output. Applications include knowledge retrieval, document extraction and computer vision.
We explain the options and trade-offs in practical terms: what they mean for the user experience, delivery effort and ongoing operation.
WHAT THAT MEANS FOR YOUR BUSINESS
The stack supports the product and the workflow. The decisions behind it should be understandable to your team.
We assess how your tools can exchange information and where custom development is needed. Integrations should serve a clear workflow and respect the access you agree.
We choose an approach around the people using the product: their devices, daily tasks and need for timely information. The interface and the system behind it are designed together.
We consider hosting, deployment and maintenance alongside the build. The handover and support arrangements should fit the people responsible for the system after launch.
LET’S FIND THE RIGHT STARTING POINT
Bring us the process, the problem or the product idea.
We’ll help you work out what’s worth building.