Your Partner in AI Projects

about

At Sparkbit, we build AI solutions that solve real business problems. Our AI Navigator approach guides you through every step, from AI and use case alignment to system architecture and PoC development.

We focus on practical results and reducing risks, ensuring your AI projects deliver real value.

Explore AI Navigator
success stories

Selected clients we've already helped:

Our client is a Swiss company that makes high-precision instruments for chemical analysis. They wanted to create an AI assistant to help field technicians with problem detection and troubleshooting. The plan was to combine a large language model (LLM) with a retrieval-augmented generation (RAG) system to quickly search their document database and improve the accuracy of chatbot responses. We held extensive user workshops and built a pilot version of the solution, which proved both feasible and valuable for the client’s support team. We're now working on developing the full-scale solution.
PoC & workshopsfora swiss manufacturing company
The client is a Polish company that provides media monitoring services. Their platform analyzes media publications and broadcasts to give sponsors insights into their projected advertising value. They approached us to upgrade their deep learning solution to recognize sponsor logos in video broadcasts. Our AI team conducted user workshops and system prototyping, followed by developing a proof of concept (PoC). We provided the client with recommendations on system architecture, a project roadmap, and a cost structure document. They are now exploring financing options for the proposed solution.
PoC & workshopsfora media monitoring company
A Switzerland-based startup specializing in brand protection approached us with a unique idea: to develop an AI-based mobile app capable of recognizing and authenticating labels printed with their innovative ink, which acts as a "fingerprint" to detect counterfeits. We built a proof of concept (PoC) to test the most technically challenging part of the project - computer vision. After experimenting with different devices, lighting conditions, and vision algorithms, we had limited success. In the end, we concluded the project wasn’t feasible, which ultimately saved the client from unnecessary expenses.
PoC developmentfora Swiss startup

To learn more about our approach to building AI systems, read our blog

Title
SM1You need these six building blocks to start AI in your organization successfully (I)SM4Don't start AI without Proof of ConceptSM9Your AI won’t be perfect, but it can be good enoughSM10Investing in AI - Bespoke system vs SaaSSM25Choose the right AI use case first
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the team

Meet our AI team