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Akkio

Akkio

AI workflow automation platform for media agencies and data providers

Akkio Overview

Akkio enables teams to build machine learning models and automate data workflows without coding. The platform connects fragmented data and siloed workflows into a single intelligence layer across campaign strategy, audience segmentation, planning, deployment, and measurement. Users can upload data, perform transformations, build predictive models, and deploy them to production through a no-code interface. Akkio integrates with existing business tools and cloud environments, positioning itself as infrastructure for agencies and data-driven organizations that need to activate data across multiple teams and platforms.

Akkio Features

Web app and API deployment: Share prediction models with clients and stakeholders via shareable endpoints Role-based access controls: Governance and observability across team workflows Automates data workflows across analytics and campaign processes. Enables Chat with Data for natural-language data querying. Offers no-code predictive modeling and machine learning. Provides generative visualizations and insights dashboards. Embeds contextual business knowledge into analytics. Integrates with cloud and enterprise data environments.

Use Cases:

  1. Campaign performance measurement for media teams.
  2. Sales forecasting and pipeline prediction.
  3. Lead scoring and customer segmentation.
  4. Automated business intelligence reporting.
  5. No-code data preparation and transformation.

Pricing Overview:
Akkio uses usage-based and tiered plans with options to scale data volume and prediction limits. Plans start at ~$49/mo with free trials available.

Pros & Cons

Pros:

No coding required: Enables users without SQL or Python knowledge to build machine learning models

Affordable entry point: Plans start at $49 per month with month-to-month billing

Handles complex data: Capable of forecasting across millions of products and wide financial datasets

Reduces manual work: Automates data entry, cleaning, and backward-looking reporting tasks

Cons:

Pricing scales with larger datasets.

Advanced features gated to higher plans.

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