Would you trust
ChatGPT
Gemini
Claude
Grok
to answer an important question about your business?
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.
Our clients and partners have built some amazing use cases on our technology
“We're using Codesphere and are big fans of their product & their fantastic team!”
Our AI Operating System consists of three layers
Codesphere’s self-service model lets developers take control of their entire deployment process. They can:
Agents: Human-like automation
Ready-to-use AI applications for specific business needs such as document analysis and comparison, knowledge databases, or support bots, fully customizable.
Bricks: Building blocks and low code
Reusable services and tools to accelerate AI development, including components for RAG, vector search, code generation, analysis, and testing.
Bedrock: Infrastructure, Models, and Custom Code
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)
Full flexibility:Modules can be adjusted according to custom workloard including models, data sources, frameworks
Agents tailored to your use case
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.
Some of our custom agents include:
Outcome:
Collaborating with our clients on agents that can then be implemented into the standard creates a win-win situation.
Document comparison agent for L-Bank
