Single-tenant deployment
Each customer gets a dedicated, isolated instance - not shared multi-tenant SaaS. Deployed on your cloud infrastructure or our managed environment. No cross-tenant data leakage by design.
Model-agnostic control plane
Praxis orchestrates agents across OpenAI, Anthropic, Google, or self-hosted models. Swap providers without re-architecting workflows. You decide the model strategy, we provide the execution layer.
Role-based access control
Three user roles (Admin, Member, and Read-Only) with more granular tool permissions at the agent level. Control which agents each person can use, and which actions need approval before they run. 2FA and user-group management built in.
Custom Skills framework
No-code agent builder for domain-specific workflows. Define instructions, scope available tools and data sources, and publish reusable Skills across your team - without writing a line of code.
Structured knowledge graph
Persistent entity-relationship storage built from conversations, files, and connected systems. Agents query the graph at execution time for context - no prompt stuffing, no context rot.
Complete action log
Every request, plan, approval, tool invocation, and outcome is logged with timestamps and actor attribution. Full visibility into what happened, who triggered it, and why.
Scheduled execution
Trigger agent workflows on a time-based schedule or at set intervals. Reports, health checks, and routine operations run unattended - with the same approval gates and logging.
Tool orchestration layer
Native connectors to Gmail, Google Ads, Drive, Calendar, Airtable, and more. Agents sequence multi-step jobs across tools, handling the coordination so your team doesn't have to.
Natural-language interface
No dashboards to learn, no config screens to navigate. Users interact with agents through plain conversation. Lower the barrier to adoption across technical and non-technical team members alike.