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Adobe Marketo Engage
AI Marketing OS for Agencies & Scaling Brands. Automate workflows, audit ad spend, and generate custom dashboards on one visual canvas without writing code.

Website, pricing, platforms and company facts side by side.
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| Website | protocoldeviation.com | adcasa.io |
| Pricing | — | |
| Company | — | Startup from the United Kingdom · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Protocol Deviation yet.
adCasa is an AI Marketing Operating System built specifically for performance agencies and scaling brands. We replace fragmented software stacks, expensive task-based automation fees, and manual reporting spreadsheets with a single, secure visual workspace. Unlike traditional automation platforms...
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As answered by people managing Protocol Deviation and adCasa.
adCasa's answer:
adCasa's answer:
We do not charge per automation step, and we do not paywall features. adCasa is a unified AI Marketing OS fueled by a transparent, usage-based compute model. It combines visual workflow routing, built-in creative generation, and causal inference math into a single infinite canvas.
adCasa's answer:
We were tired of the manual agency model. Managing ad accounts required constantly moving CSV files, and native ad platforms were continuously over-reporting their own success. We built the adCasa OS based on a simple philosophy: Humans should dictate the strategy, and machines should execute the math.
adCasa's answer:
Traditional marketing requires a highly fragmented, expensive stack: automation tools for routing leads, separate analytics software for tracking ROI, and manual spreadsheets for auditing. adCasa consolidates your entire infrastructure into one secure workspace, eliminating manual data entry and drastically reducing software costs.
adCasa's answer:
Performance marketing agencies, media buyers, and scaling brands who want to eliminate manual reporting busywork and stop wasting ad spend.
adCasa's answer:
Our core execution engine is built on a high-concurrency Python backend, deployed via a scalable serverless architecture on Google Cloud. The infinite visual workspace is engineered using a custom, hardware-accelerated React frontend for flawless canvas physics.
For data pipelines, we utilize distributed NoSQL databases and BigQuery. Ultimately, our intelligence layer is driven by proprietary causal inference mathematics for True ROI tracking, deeply integrated with Google Cloud Vertex AI for multimodal generation and autonomous logic routing.
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