Knowledge, connected.
Retrieve relevant company knowledge with RAG, so answers can be grounded in the documents and context behind them.
RAG · CONTEXT · SOURCE EVIDENCEYour knowledge, data and workflows.
One intelligent layer across your operations.
Vektorax is building an AI operations platform that brings together what your company knows, what your data reveals and what needs to happen next.
Retrieve relevant company knowledge with RAG, so answers can be grounded in the documents and context behind them.
RAG · CONTEXT · SOURCE EVIDENCEBring repeatable tasks into structured flows. Use AI agents to propose and coordinate next steps with appropriate human review.
AI AGENTS · APPROVALS · AUTOMATIONUse machine learning and language models to explore operational data, surface patterns and support informed decisions.
ANALYSIS · PATTERNS · DECISIONSExplore the intended experience: contextual answers, connected workflows and operational insights in one workspace.
The example checklist is waiting on supplier documentation. Review the missing tax details and the purchasing team’s approval before moving forward.
A follow-up draft can ask the supplier for the outstanding documents, reference the checklist and route the message to the purchasing team before sending.
In this example, document review is the recurring handoff to investigate. Compare completion dates and review the underlying records before deciding on a process change.
Interactive interface concept with fictional sample data. Not a live platform, integration or performance demonstration.
LLMs, retrieval-augmented generation, machine learning and AI agents—designed to work together, not as another collection of tools.
Our planned NVIDIA technology stack will support model inference, embeddings, RAG workloads and real-time AI automation.
Explore the planned stackDesigned for SMBs and mid-market companies looking to simplify recurring work and make better use of their own information.
Bring process documentation and work status together to help teams identify missing information, draft updates and coordinate approvals.
Help teams locate relevant policies, summarize context and prepare responses that can be checked before they reach a customer.
Explore operational information through natural-language questions and evidence-led summaries instead of disconnected reports.
Support document review, exception summaries and structured follow-ups, while keeping people accountable for approvals.
Tell us where work gets stuck. Help shape what comes next.