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AirOps

What it is

AirOps is a platform for building and scaling AI-powered applications and workflows. It provides a collaborative environment for teams to design prompts, test models, and deploy AI "tools" that can be integrated into existing business systems.

What problem it solves

AirOps addresses the difficulty of moving AI from a simple chat interface into a scalable, production-ready tool. It provides the necessary infrastructure for prompt versioning, model orchestration, and secure data handling, allowing companies to build internal AI tools quickly.

Where it fits in the stack

Category: Automation & Orchestration / Enterprise AI Platform

Typical use cases

  • Custom AI SaaS: Building and hosting a specialized AI application for external customers.
  • Internal Tooling: Creating AI assistants for customer support, sales, or marketing teams.
  • Data Enrichment: Using AI to process and add value to large datasets in real-time.
  • Knowledge Management: Building RAG systems over internal company documentation.

Strengths

  • Collaborative: Designed for teams (product managers, engineers, and domain experts) to work together on AI.
  • Scalable: Handles the infrastructure needed to run millions of AI requests.
  • Integrations: Connects easily to databases, APIs, and popular business tools.
  • Monitoring & Analytics: Provides deep insights into how your AI tools are being used.

Limitations

  • Commercial Platform: Primarily a paid service with enterprise focus.
  • Complexity: Offers a wide range of features that might take time to master.

Getting started

  1. Sign up for an account at AirOps.com.
  2. Navigate to the API section in your workspace settings to generate an API Key.
  3. Design your workflow or tool in the AirOps Studio.
  4. Publish your workflow to make it accessible via API.

API examples

Trigger a workflow via webhook: 

curl --request POST \
  --url 'https://app.airops.com/public_api/airops_apps/YOUR_APP_UUID/webhook_async_execute?auth_token=YOUR_API_KEY' \
  --header 'accept: application/json' \
  --header 'content-type: application/json' \
  --data '{ "input_variable": "Custom Value" }'

Sources / references

Contribution Metadata

  • Last reviewed: 2026-05-18
  • Confidence: high