Technology
An enterprise-ready AI stack for production systems
Deepsoft’s technology unifies AI infrastructure, knowledge intelligence, and workplace automation—so teams can ship secure assistants, RAG pipelines, and LLM operations across multi-cloud environments.
How Deepsoft technology fits together
Deepsoft is built as a layered platform: infrastructure and operations to run models reliably, knowledge intelligence to ground outputs in enterprise data, and work operating systems to embed AI into day-to-day workflows. Each layer is modular, secure by design, and designed to integrate with your existing cloud, identity, and data stack.
Platform components
Technology across the Deepsoft ecosystem
Three platforms, one architecture: deploy models, ground them in enterprise knowledge, and operationalize AI in the workplace.
Clyros — AI Cloud & Operations Platform
Multi-cloud orchestration, model lifecycle management, automation, and monitoring/cost optimization for production AI systems.
CoRAG — Enterprise Knowledge Intelligence Platform
Document ingestion, semantic and vector search, RAG pipeline creation, and integrations with leading vector databases and data sources.
Karyam — AI Work Operating System
AI-powered collaboration and workflow automation with task assistance, project tracking, and workplace operations tooling.
Deepsoft Academy — Applied AI Engineering
Hands-on programs that teach professionals to build production-ready AI systems, from RAG to LLM operations and deployment.
Technology FAQ
Common questions from enterprise teams evaluating Deepsoft for production AI.
How does Deepsoft support secure enterprise data access?
Deepsoft is designed to integrate with enterprise identity and access controls so assistants and retrieval pipelines respect permissions and data boundaries.
Do you support multiple LLM providers and deployment targets?
Yes. Deepsoft is built for heterogeneous environments—supporting multi-cloud deployment and flexible model/provider strategies.
What is your approach to RAG and vector search?
We provide end-to-end tooling for ingestion, chunking, embeddings, retrieval, and evaluation—so teams can ship reliable, grounded assistants.
How do you handle observability and cost management?
Operational visibility is a first-class concern: monitoring, automation, and cost optimization help teams run AI systems sustainably at scale.
Can we start with one platform and expand later?
Yes. Each platform is modular. Many teams begin with knowledge intelligence or operations and expand as use cases mature.
Do you offer training for internal teams?
Deepsoft Academy provides hands-on training and certification-oriented learning paths for engineers and technical leaders.
Next step
Build and scale enterprise AI with Deepsoft
Talk with our team about your architecture, data constraints, and deployment goals—and see how Deepsoft can accelerate your path to production.