Raghim AI

Raghim AI is an enterprise-grade AI platform currently in beta, designed to help teams build, deploy, and manage intelligent AI agents without sacrificing control over their data.

At its core, Raghim is a visual AI workflow builder. Using a drag-and-drop flow editor, teams can compose sophisticated agent pipelines from building blocks: knowledge retrieval nodes, SQL data access, intent classifiers, orchestrators, synthesizers, and enterprise guardrails, all wired together with conditional and intent-based routing.

For knowledge work, Raghim's RAG engine turns your documents into a searchable, queryable knowledge base. Upload PDFs, leverage OCR in English and French, and let agents retrieve, synthesize, and cite answers grounded in your content.

For data teams, natural language database access lets users query PostgreSQL, MySQL, and Oracle databases in plain language, with row-level security, a visual query builder, and SQL validation guardrails built in.

For operations, Raghim ships with email campaign management (templates, A/B testing, sender config), enterprise integrations out of the box (Slack, Microsoft Teams, Jira, Asana, GitHub, webhooks), and embeddable chat widgets you can drop into any website or app.

Security is first-class: RBAC, audit logging, IP allowlisting, data retention policies, and optional client-side encryption for sensitive workflows. Whether you run it managed or self-hosted, you stay in full control of your data.

Available now in early access — join teams already using Raghim to go from document upload to production AI agent in minutes, not months.