About Deepsoft
Building the Enterprise AI Stack for production teams
Deepsoft builds AI infrastructure, knowledge intelligence, and AI-powered workplace platforms to help enterprises deploy, govern, and scale intelligent systems—securely, reliably, and across clouds.
Our story
From prototypes to production-grade AI
Enterprises are moving from experimentation to real-world AI systems—yet teams still face fragmented tooling, inconsistent governance, and hard-to-operate pipelines.
Deepsoft was created to unify the stack: infrastructure and operations for LLMs, knowledge intelligence for secure retrieval, and workplace platforms that turn AI into everyday leverage for teams.
We build platforms that make AI deployable, observable, and trusted in the enterprise.
Deepsoft team
Our ecosystem supports multi-cloud deployment, RAG pipelines, vector search, and LLM operations—so teams can ship assistants and intelligent workflows with confidence.
What we build
Platforms designed for enterprise reality
Deepsoft’s ecosystem helps teams operationalize generative AI end to end—from multi-cloud AI operations to knowledge-grounded assistants and workplace automation. Each platform is built to integrate with existing data, security, and engineering workflows.
Ecosystem
Clyros, CoRAG, and Karyam
Three products—one cohesive enterprise AI stack. Explore each platform to see how they work together across infrastructure, knowledge, and workplace execution.
Clyros AI Cloud & Operations Platform
Multi-cloud orchestration, LLM management, automation, and monitoring/cost optimization for production AI systems.
CoRAG Enterprise Knowledge Intelligence Platform
Document ingestion, semantic and vector search, and RAG pipeline creation to build secure, knowledge-grounded AI assistants.
Karyam AI Work Operating System
AI-powered collaboration and workflow automation with project tracking, task assistance, and workplace operations tooling.
Deepsoft Academy
Hands-on programs that teach professionals to build production-ready AI systems—covering RAG, LLM operations, evaluation, and deployment.
What teams value
Representative feedback from enterprise builders and practitioners who prioritize reliability, security, and measurable outcomes.
★★★★★
Deepsoft’s approach brings structure to RAG and retrieval—making it easier to ship assistants that stay grounded in enterprise knowledge.
Director of Data Platforms
Enterprise Technology
★★★★★
The focus on multi-cloud operations and observability is exactly what’s missing when prototypes need to become production services.
Head of AI Engineering
Global Services
★★★★★
The Academy content is practical and engineering-led—clear patterns, real tradeoffs, and a path to production readiness.
Senior Machine Learning Engineer
FinTech
Next steps
Ready to build production AI with confidence?
Explore the Deepsoft ecosystem or talk with our team about multi-cloud deployment, knowledge intelligence, and enterprise-grade AI assistants.