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Akkio

No-code automation for data-driven business workflows

Free | Freemium | Paid | Enterprise ⭐⭐⭐⭐☆ 4.4/5 ⚙️ Automation & Workflow 🕒 Updated
Visit Akkio ↗ Official website
Quick Verdict

Akkio is a no-code machine learning and automation platform that lets business teams train models, score data, and deploy predictions without data science. It’s best for revenue operations, marketing ops, and analysts who need quick lead scoring, churn prediction, or forecasting; pricing is tiered with a limited free plan and paid plans starting at a predictable monthly rate for more models and data volume.

Akkio is a no-code automation and workflow platform that brings supervised machine learning and predictive APIs to business users. It enables non-technical teams to import CSVs or connect live data, train classification or regression models, and apply predictions to workflows. Akkio’s key differentiator is embedding model training, monitoring, and API deployment in a single web app so teams can operationalize predictions quickly. The tool serves marketing operations, sales ops, and customer success teams. Pricing is accessible with a free tier (limited predictions) and paid monthly plans for larger model and API usage.

About Akkio

Akkio is a no-code machine learning and automation platform founded to lower the barrier for business teams to build and operationalize predictive models. Launched by a U.S.-based company, Akkio positions itself between spreadsheets and full-data-science platforms by offering an end-to-end flow: data ingestion, model training, evaluation, API deployment and workflow automation inside one web app. The core value proposition is speed to prediction — business users can turn a CSV or live database into a hosted predictive API in minutes without writing Python or managing infrastructure.

Key features include automated model building with choice of problem types (binary classification, multi-class, regression) and automated feature engineering, producing ROC/AUC and feature-importance style evaluation metrics so users can compare runs. Akkio also provides live data connectors (CSV upload, Google Sheets, Snowflake, PostgreSQL) and can score new rows via a hosted REST API or direct connectors. The platform includes workflow automation: predicted outcomes can trigger downstream actions through native integrations or webhooks, enabling automated lead routing or churn alerts. For governance, Akkio stores model run history and lets teams version models and set input schemas to prevent drift from breaking pipelines.

Pricing blends a free tier with paid monthly plans and higher-volume enterprise agreements. The free plan offers a limited number of predictions per month and basic model training to test workflows. Paid plans (the public website lists a Pro/Team structure) increase monthly prediction quotas, unlock API keys, remove model/session limits, and enable custom domains and SSO on enterprise tiers. Higher plans are billed monthly or annually; for large-volume or custom deployments Akkio offers enterprise pricing with dedicated support, higher SLAs and bespoke data-security add-ons. Exact current plan names and monthly prices are published on Akkio’s pricing page and should be checked for the latest amounts.

Akkio is used by analysts, marketing ops, sales ops, and product teams to speed common workflows: a marketing operations manager uses Akkio to score inbound leads and increase MQL-to-SQL conversion by automating routing; a customer success director uses it to predict churn risk and trigger retention emails. Other examples include finance analysts forecasting revenue and HR teams predicting attrition. Compared to building custom models in Python or buying a data-science platform, Akkio trades low-code accessibility and rapid deployment for less depth in hyper-custom modeling, putting it nearest to tools like DataRobot or H2O but focused on streamlined no-code workflows.

What makes Akkio different

Three capabilities that set Akkio apart from its nearest competitors.

  • End-to-end no-code flow that publishes a hosted prediction API without infrastructure setup.
  • Built-in connectors to Snowflake and PostgreSQL plus direct Google Sheets scoring for live workflows.
  • Model run history and versioning aimed at team collaboration, not just single-user experimentation.

Is Akkio right for you?

✅ Best for
  • Marketing ops who need automated lead scoring and routing
  • Sales ops who need API-accessible lead predictions for CRMs
  • Customer success teams who need churn risk scoring to trigger retention
  • Analysts who need quick forecasting without hiring data scientists
❌ Skip it if
  • Skip if you require full custom model development in Python/R.
  • Skip if you need on-premise-only deployment or strict data residency controls.

✅ Pros

  • No-code path from CSV to hosted prediction API removes infrastructure work
  • Native connectors and webhooks simplify integrating predictions into existing tools
  • Model versioning and run history enable auditability of deployed models

❌ Cons

  • Limited advanced modeling controls for feature engineering and custom algorithms
  • Pricing and exact quotas for paid tiers require checking the live pricing page

Akkio Pricing Plans

Current tiers and what you get at each price point. Verified against the vendor's pricing page.

Plan Price What you get Best for
Free Free Small monthly prediction quota, single user, basic models only Trialing predictions and evaluating workflows
Pro Exact monthly price on site Higher monthly predictions, API keys, 3+ projects, basic support Single team needing API access and more volume
Team Exact monthly price on site Larger prediction quota, multi-user seats, collaboration features Cross-functional teams deploying predictive workflows
Enterprise Custom Unlimited-like quotas by contract, SSO, dedicated support, SLAs Large orgs needing security and scale

Best Use Cases

  • Marketing Operations Manager using it to increase MQL-to-SQL conversion rate by automating lead routing
  • Customer Success Director using it to reduce churn by predicting high-risk accounts and triggering retention workflows
  • Revenue Operations Analyst using it to forecast monthly bookings and feed predictions to CRM automatically

Integrations

Google Sheets Snowflake PostgreSQL

How to Use Akkio

  1. 1
    Upload or connect data
    Click 'New Dataset' or 'Connect' in the Akkio dashboard, choose CSV upload or Google Sheets/Snowflake connector, map columns to variables, and confirm; success shows the dataset ready to train.
  2. 2
    Select target and train
    Click 'Create Model', choose your target variable (e.g., 'churn'), pick problem type (classification/regression), and start training; success is a model run with evaluation metrics.
  3. 3
    Review metrics and choose model
    Open the model run to inspect ROC/AUC, confusion matrix or error metrics and feature importance, then click 'Deploy' or 'Publish' to make the model available as an API.
  4. 4
    Integrate predictions into workflows
    From the deployed model page, copy the REST API key or set up a webhook/connector to CRM; test scoring a row and verify predictions appear in your target system.

Akkio vs Alternatives

Bottom line

Choose Akkio over DataRobot if you prioritize rapid no-code deployment and lower initial setup for small teams.

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Frequently Asked Questions

How much does Akkio cost?+
Akkio has a freemium model with paid plans—exact monthly prices are listed on their pricing page. The free plan includes a limited monthly prediction quota for testing. Paid tiers (Pro/Team) increase prediction quotas, add API access, multi-user seats and collaboration features. Enterprise pricing is custom and includes SSO, SLAs, and higher volume allowances; check Akkio’s site for current dollar amounts.
Is there a free version of Akkio?+
Yes — Akkio offers a free tier with limited predictions and model runs to evaluate the platform. It allows single-user access and basic model training so teams can test lead scoring or forecasting workflows. The free tier caps monthly predictions and doesn’t include enterprise features like SSO or dedicated support, so upgrade when you need production quotas.
How does Akkio compare to DataRobot?+
Akkio focuses on no-code speed and hosted prediction APIs while DataRobot targets enterprise AutoML with deeper model explainability. Akkio is better for small teams needing quick deployment and lightweight governance; DataRobot suits organizations needing full model customization, many algorithm choices, and extensive MLOps controls.
What is Akkio best used for?+
Akkio is best for operationalizing simple supervised ML workflows like lead scoring, churn prediction, and basic forecasting without a data science team. It excels at turning CSVs or live data into a hosted API and wiring predictions into CRMs or marketing platforms to automate routing and retention workflows.
How do I get started with Akkio?+
Start by signing up on akkio.com and using the 'New Dataset' or Google Sheets connector to import data. Train a model by selecting a target variable, review evaluation metrics, then deploy the model and copy the REST API key or set up a webhook to start scoring rows in your workflow.

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