With Codesphere, you can make your entire AI stack more reliable and secure by keeping your company’s data on your own systems and integrating it so the LLM truly understands it.
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The AI Suite was built from the ground up for production-grade AI projects. We treat AI as software, applying the same robust principles of development and operations that you expect from traditional software engineering.
Experience consistent processes and a unified deployment technology for both traditional applications and AI solutions.
Efficient hosting and patented resource management for both inference and training, whether in the cloud or on-prem.
Empower developers and data scientists with self-service capabilities, without the need for deep cloud or MLOps expertise.
Operate your own models and workloads with complete control over your data and execution environment.
Full flexibility: Modules can be adjusted according to custom workloard including models, data sources, frameworks
Ready-to-use AI applications for specific business needs such as document analysis and comparison, knowledge databases, or support bots, fully customizable.
Reusable services and tools to accelerate AI development, including components for RAG, vector search, code generation, analysis, and testing.
Scalable and cost-efficient infrastructure for all AI inference and training workloads:
Scalable, cost-efficient CPU/GPU resources for AI models
Automatic load balancing and fast deployment
Simplified infrastructure management (network, security, scaling)
We build customized AI agents that integrate securely into your existing infrastructure and data environment. These agents continuously enhance and expand your AI suite with new capabilities.
We have collaborated with our clients on agents that can then be implemented into the standard creates a win-win situation.
Document comparison agent for L-Bank