At geisten, we use a cutting-edge approach to develop highly efficient, cost-effective AI models that run on virtually any hardware — already transforming e-commerce today and laying the groundwork for countless future applications.
Our current focus is on optimizing product discovery for e-commerce solutions, ensuring data privacy while offering a highly scalable and cost-efficient approach.
We’re actively developing our MVP and are looking for pilot customers to refine our solution. If you want to be among the first to experience next-generation product search, reach out today!
We develop personalized mini language models optimized for fast response times, designed to run efficiently on standard PCs, with a small model already achieving over 500 tokens per second on a Raspberry Pi.
Contact UsHow geisten Stands Out
- Conversational Search: Engage customers with intuitive, human-like queries.
- Local & Energy-Efficient: Runs on CPUs to cut energy use and cloud dependency.
- Quick Integration: Seamless plug-in for E-Commerce platforms or custom setups.
- Secure & Privacy-Focused: Data stays local, complying with strict regulations.
Pre-Seed Stage Highlights
- MVP in Progress: Our core features are under active development, and we're preparing our very first test version.
- Pilot Program: Seeking partners to test and refine our product.
- Team: Combining AI expertise with practical E-Commerce experience.
- Target Market: Online retailers aiming to improve product discovery and user satisfaction.
Frequently Asked Questions
- What is geisten’s main focus?
- We develop highly efficient, locally executed AI models that minimize costs and energy consumption. Our vision: AI should be available to everyone, sustainable, and data-compliant—without heavy reliance on large cloud services.
- How does geisten help E-Commerce?
- By letting shoppers use natural language, we boost conversion rates, reduce friction, and enhance overall customer satisfaction.
- How mature is the technology?
- We’re refining our MVP. Pilot customers can shape our final features and performance.
- Why focus on local (on-device) AI?
- Running on standard CPUs lowers energy and bandwidth costs, offers greater data privacy, and ensures consistent response times.
- What’s next for geisten?
- Completing our MVP, welcoming more pilot customers, and preparing to scale into new markets.