Platform New

Agents Platform

Orchestrate autonomous AI agents at enterprise scale.

The Mwzn Agents Platform is a full-stack production runtime for deploying, coordinating, and governing autonomous AI agent networks. Build single agents or multi-agent pipelines with the visual workflow builder, then operate them with enterprise-grade observability, cost controls, and governance.

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Single and multi-agent orchestration
LLM-agnostic (GPT-4o, Claude, Llama, Gemini)
Long-term vector memory
Code execution sandbox
Structured output validation
Streaming responses

1M+

Agent tasks per month

99.9%

Platform uptime

50+

Built-in tool integrations

<8 wks

Time to production

[ Capabilities ]

Everything you need, nothing you don't

Built for production from day one — no cobbled-together open-source toolchain required.

Visual Workflow Builder

Design agent pipelines visually — drag-and-drop agent nodes, configure tool calls, set retry logic, and define escalation paths. No boilerplate code required for standard patterns.

Multi-Agent Coordination

Supervisor, pipeline, peer-debate, and parallel execution patterns — all built in. Agents communicate via structured message schemas with guaranteed delivery and ordering.

50+ Built-in Tool Integrations

Give agents immediate access to web search, databases, APIs, code execution sandboxes, file systems, email, and all major enterprise SaaS tools — through a unified tool registry.

Distributed Tracing & Observability

Full OpenTelemetry-compatible tracing of every reasoning step, tool call, and inter-agent message. Visualize agent decision trees in the Mwzn Ops dashboard.

Cost Controls & Budgeting

Set per-task, per-agent, and per-workflow cost budgets. The platform enforces hard limits, alerts on anomalies, and provides detailed cost attribution down to the model-call level.

Enterprise Governance Layer

Role-based access controls per agent, human-in-the-loop approval gates for high-risk actions, behavioral anomaly detection, and complete decision audit trails for compliance.

[ Process ]

How it works

A proven delivery process refined across 150+ enterprise AI deployments.

Create agent definitions in the Mwzn Studio — set the LLM backbone, write the system prompt, assign tool permissions, and configure memory access. Use our prompt library as a starting point.

Agents Platform

Orchestrate autonomous AI agents at enterprise scale.

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[ Use Cases ]

Built for your industry

Financial Services

Autonomous Research & Analysis

An investment firm deployed a 5-agent research pipeline that monitors news, runs sentiment analysis, queries financial databases, and produces morning briefings — replacing 40 analyst-hours per day.

40hrs

Daily analyst hours automated

Logistics & Supply Chain

End-to-End Order Management

A regional logistics provider uses a multi-agent system to monitor inventory, negotiate with suppliers, optimize routing, and handle exception management — reducing fulfillment time by 35%.

35%

Reduction in fulfillment time

Legal & Compliance

Contract Review Automation

A legal tech company built a parallel-agent contract review system that reviews standard commercial contracts against 200 risk clauses — in 4 minutes versus 3 hours for a junior associate.

45×

Faster contract review speed

[ Integrations ]