How Eurotours migrated their legacy systems from on-prem to a self-service cloud without DevOps.
Turn GPU/CPU servers into a best-in-class cloud offering without a DevOps team.
Deploy and scale data sovereign artificial intelligence apps without DevOps.
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We offer a wide variety of templates you can deploy with a click of a button.
While self-hosting AI models can adress intellectual property concerns, traditionally it required specialized MLOps expertise. Codesphere makes it accessible for any developer.
No DevOps needed
GDPR Compliant
Easily Scalable
Fast time2market
ILTIS consults enterprises and communal facilities on process optimization. Partnering with Codesphere allowed the rapid development of new applications to optimize their workflows.
Iltis partnered with Codesphere to implement and deploy a speech recognition and knowledge retrieval use case based on the latest open source AI technologies. Empowered by Codesphere's ease of use and ability to scale, this PoC project is now used as a blueprint to scale out the solution across other Iltis customers.
Realtime Speech Recognition
Semantic Search
ERP Integration
Operator Cockpit UI
Total implementation time
Documents embedded for Vector DB
GDPR compliant
The application consists of the transcription backend, frontend and sentence transformer which creates numerical representations of the transcribed data (embeddings) to store in and query a vector database. Everything hosted on Codesphere.
To make ILTIS’ knowledge available to their experts, we pulled all of their data from their ERP and ran it through a sophisticated ingestion pipeline that converts everything into the right format, chunks the data accordingly and uploads everything to the database. Everything happens fully automated.
Alexander Ott
Geschäftsführer @ ILTIS
Together with Codesphere, we developed a working PoC in just 6 weeks, which allowed us to test and gather feedback incredibly quickly.
The frontend runs a basic Sveltekit application, taking care of recording the microphone input and sending it as a .wav to the transcription server.
A Whisper.cpp server running on a Codesphere Pro plan, enabling real time CPU inference for speech to text. No GPU needed, keeping the cost down
A FastAPI server running the sentence-transformer library to create the embeddings needed to store and retrieve ILTIS data from the database
A PostgreSQL database with the pgvector extension which extends the stored information with vector embeddings and implements a rapid vector search, perfect for RAG use cases
Node.js server that pulls data from the ERP, parses all PDFs, creates embeddings and checks and fills the .
Sterling PDF endpoint that takes in legacy .doc files and converts them into PDF files that can be parsed by the main Node server.
The initial structure of the application was developed locally using standard IDEs. Since Codesphere strips away complex Ops setups and simplifies proxies and path-based routing, making CORS issues an issue of the past, preview deployments for all stakeholders to see were deployed easily. Final tweaks were done right from the Codesphere IDE, stripping away the need for endless git push and pulls in the final stages of the app development.
Through using an open source and self hosted stack, no data ever leaves the application and its components. Since Codesphere offers servers in Frankfurt, Germany, everything can be hosted within the EU, making it GDPR compliant out of the box.
All the cloud provisioning, container orchestration and networking is handled by Codesphere out of the box. You can deploy a running AI model in less than two minutes.
Deploying AI apps on Codesphere is really straightforward.
Helmuth Bederna
Tech Lead @ Medmastery
Our patented deployment category, Reactives, surpasses serverless, buildpacks, Docker PaaS, k8s, and VMs in ease of use and deployment speed, while supporting enterprise-level complexity. It excels with high-resource applications like LLMs, simplifying scaling to zero for low-traffic apps and enhancing efficiency when scaling up by provisioning resources ad-hoc, potentially reducing infrastructure costs by 50% or more.
Reactive Startup
Codesphere takes away the need for dedicated Ops teams, enabling any developer to deploy performant and efficiently scaling AI applications without DevOps or MLOps experience. This eliminates the expensive and time consuming setup & maintenance of infrastructure as well as traditional challenges associated with scaling.
Legacy applications require adjustments before migrating - a necessity but also a unique opportunity.
Whitepaper on rising GPU costs and innovative solutions. Why self hosting & modern cloud orchestration are the way to go.
To get you started right now, we have made some of our training- and informational materials available for you to download below.
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