Erlebe in einer Live-Demo, wie TESSA DAM Deine digitalen Content effizient verwaltet.
AI im Fundament, nicht als Feature
TESSA was built from the ground up: API-first, headless, cloud-native, and MCP-ready. Artificial intelligence at TESSA isn't a feature bolted on afterward, it's in the foundation of the platform. Manual tagging becomes unnecessary thanks to AI-powered search, large volumes of assets can be transformed in seconds, and object and facial recognition are built right in. Through the native MCP server, you connect Claude Desktop, Cursor, ChatGPT, or any other MCP-compatible tool directly to your TESSA backend, with AI agents working with your assets securely and under control.
What TESSA Brings You
TESSA simplifies exactly the tasks that slow your team down today, saving an enormous amount of time:
- Transformations: one shoot, every channel. Cutouts, resizing, format conversion, and variants happen on the fly, right inside the tools you already use every day.
- TESSA Drive: edit your assets as directly as you would in a familiar file system.
- Native MCP server: your AI tools work directly with your assets, securely and under control.
- Built for e-commerce: from shoot to shop and marketplace in one flow, optimized for manufacturers and retailers.
- Roles and permissions: fine-grained access control down to the folder level.
- Delivered via URL: one URL per asset, with transformations controlled by parameters in real time.
The result: teams work noticeably more efficiently, routine tasks shrink to a minimum, and product assets go live in minutes instead of weeks, with no delay.
Three Teams, One Backend
A core idea behind TESSA: different teams work independently, but on the same data, without endless back-and-forth tickets between departments.
Marketing teams upload a single product photo, and TESSA automatically creates every format needed: 4:5 for Instagram, wide for the website, cropped to fit the newsletter. No manual cropping, no exporting multiple resolutions.
E-commerce teams embed an asset directly into the online shop via URL, with a parameter in that URL automatically controlling the right size for every product page, from thumbnail to zoom image. And through the native MCP server, any team can ask their usual AI assistant, like Claude or ChatGPT, directly about their assets, for example which images from the latest campaign were downloaded most, with the answer arriving instantly and no separate login required.
Connected to Your Content Stack
TESSA positions itself as a hub for your entire content stack. Upstream, you pull in assets from creative tools like Adobe, Figma, and Canva, bring in user-generated content from Blogger, Medium, or Substack, tap into stock libraries like Unsplash, Pexels, and Shutterstock, or connect project management tools like Asana, Trello, and Jira. Downstream, TESSA distributes content seamlessly to platforms like Shopify, Shopware, and SAP, CMS solutions like Sanity, Contentful, and Strapi, PIM systems like Pimcore, Akeneo, and ATAMYA, or marketing automation tools like HubSpot, Salesforce, and Mailchimp.
Experience TESSA Live – Be One of the First
On July 30, 2026, from 2 to 3 PM CEST, CEO Patrick Krisch and Product Owner Johannes Rauch will show, live and for the first time, how DAM and AI work together at TESSA, and how you can use that to take your content processes to a new level. The free event runs entirely online and includes a complete product presentation, a live demo of TESSA, and an open Q&A directly with the team.
What to expect:
✓ Improve your time-to-market with AI & DAM
✓ Access your assets anytime & anywhere with TESSA Drive
✓ Experience AI-native workflows & MCP in action
✓ Use intelligent transformations
✓ Free & 100% online
Conclusion
A New Chapter in Digital Asset Management
Today’s launch marks the debut of a project that has been developed with great care over the course of several months. TESSA combines AI, automation, and an open content stack into a DAM that adapts to the pace of e-commerce teams. If you’d like to learn more, don’t miss the launch event on July 30.
