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Airbender.io

Agentic Performance Management (APM) for Safety and Compliance

How Do You Get Unreliable Agents Reliably Into Production...

Standalone, ALL agents are unreliable. And observability and Low-Code platforms aren't enough. The solution is to focus on performance and safety at the application and workflow layer.

Overview

Lead Review

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90%

Total Sessions

450

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5

Client Research

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100%

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4

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Proposal Generation

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3

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Lead Management

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100%

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2

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5

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Campaign Planner

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80%

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12

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The Dimensions of APM

A table showing Airbender's architecture

How does Agentic Performance Management Differ from Observability

Agents that are Guarded by System-Level Controls Don't Need to Be Always Right

Process Safety Management (PSM) is a systematic approach to managing risks associated with hazardous processes- like AI in business operations. It involves identifying, assessing, and controlling potential hazards to prevent accidents and protect people, property, business operations, and the environment. Airbender applies these principles to ensure that agents are safe and reliable.

  1. All systems fail- our goal is to reduce failure rates while ensuring safety and lack of harm.
  2. Reliability is an agent-level problem, but safety a system-level problem
  3. Control points systemically remove errors in a workflow, turning unreliable agents into a reliable system
  4. Well-designed control points make a system more resilient and less rigid and fragile.
  5. Airbender also helps manage reinforcement learning in production- a critical need in rapidly evolving business environments.

Getting Started

Airbender is in closed beta currently to make sure our team is focused on supporting the most ambitious teams. If you want to evaluate, please email info@rangle.io.

Evaluation will give you access to the source code for full transparency and the ability to secure and deploy insight your own infrastructure.

Configuration into existing POCs and early stage deployments should only take a couple of days.