Akkio

It has repositioned from general-purpose no-code predictive AI into an analytics layer purpose-built for media agencies, with named partnerships at Horizon Media and Havas. As of July 2026, every self-serve pricing tier has been replaced by "Contact Sales."

Data · Predictions, Machine Learning · 4.2 ★

What is Akkio?

Akkio, founded in June 2019 and headquartered in Cambridge, Massachusetts, is a no-code AI platform that lets non-technical teams build predictive machine learning models without coding expertise or a dedicated ML team. Its genuinely fast time-to-value has always been a core selling point — train a working model in minutes, handling feature engineering and validation automatically, and get results back as clear probability scores your team can act on directly. Real, common use cases include lead scoring, customer churn prediction, customer lifetime value modeling, propensity modeling, and sales forecasting, alongside chat-driven data exploration for asking plain-English questions of your dataset and a SQL Assistant for connecting directly to existing databases. What's genuinely significant and worth understanding about where Akkio is heading, though: the platform has clearly repositioned away from being a general-purpose tool for any business size — freelancers through large enterprises, as its earlier positioning described — into an analytics layer specifically purpose-built for media and advertising agencies. Real, named partnerships with Horizon Media and Havas reflect that shift concretely, and in January 2026, Akkio announced a partnership with Havas specifically as part of Havas's €400 million investment in agentic AI solutions, expanding Akkio's footprint within one of the world's largest agency networks.

The genuinely important, current thing worth knowing about Akkio's pricing: as of July 2026, the platform has moved to enterprise-only custom pricing, with self-serve tiers replaced entirely by a single "Contact Sales" path for a single Enterprise AI Analytics Platform tier — there is no longer a publicly listed starting price at all. For context, historical starter pricing (no longer available as a self-serve option) ran roughly $49 to $60 per user per month for a plan including one data source and five models, giving a useful, if now outdated, sense of where the platform used to sit before its agency-focused repositioning. It's also honest to note Akkio has never had a permanent free tier — only a free trial or demo — and that prediction capacity and monthly usage limits are historically tracked at the organization level, meaning any current custom contract should explicitly define capacity and overage terms upfront rather than assuming unlimited use. One fair, balanced independent summary captures the platform's real trade-off well: genuine machine learning without needing data scientists, quick time-to-value, and agency-friendly white-labeling on one side, against less granular control than fully coded ML and a genuinely narrower focus than broad BI suites on the other.

🏢
Repositioned toward media agencies specifically
Named partnerships with Horizon Media and Havas reflect a real strategic shift
💶
Part of Havas's €400M agentic AI investment (Jan 2026)
A real, current, dateable partnership expanding Akkio's agency footprint
❌
Self-serve pricing gone as of July 2026
Every tier replaced by a single "Contact Sales" path, no public starting price
📉
Historical starter pricing: $49-60/user/month
A useful, now-outdated anchor from before the self-serve tiers disappeared

The strategic repositioning toward media agencies, the Horizon Media and Havas partnerships, and the January 2026 Havas announcement are drawn directly from an independent, dated 2026 review (MediaPlanningTool). The July 2026 shift to enterprise-only "Contact Sales" pricing is drawn directly from an independent pricing analysis (CheckThat.ai). The historical $49-60/month starter pricing anchor is drawn from two separate independent sources (AI Tool Curator and Next Week AI).

Key features

🖱️

No-code predictive modeling

Train a working model in minutes without any coding or ML expertise.

💬

Chat-driven data exploration

Ask plain-English questions of your dataset and get immediate insights.

📊

Media-mix modeling & forecasting

Simulate media plans and forecast campaign performance for agency clients.

🎨

Multi-client white-label workspaces

Custom branding and client portal access for agency-facing reporting.

🔧

Automated data preprocessing

Combine columns, summarize records, reformat dates, and clean data automatically.

🔌

SQL Assistant & live data connections

Connect directly to SQL databases and live sources like HubSpot or Snowflake.

Available models

GPT-4-powered chat exploration Combines automated ML model training with generative AI for conversational data analysis

Integrations & platforms

HubSpot, Salesforce, Google Sheets Snowflake, SQL databases CSV upload

Pros, cons & best for

👍

Pros

  • Genuine machine learning without needing a dedicated data science team
  • Quick time-to-value with real, named agency partnerships (Horizon Media, Havas)
  • Agency-friendly white-labeling and multi-client workspace management
👎

Cons

  • No public pricing at all as of July 2026, every quote requires a sales conversation
  • Less granular control than fully coded machine learning approaches
  • Narrower agency focus now, less suited to broad, general BI needs
🎯

Best for

  • Media and advertising agencies needing predictive analytics for clients
  • Teams wanting fast churn, lead scoring, or CLV models without coding
  • Not the pick for general-purpose BI or non-agency business predictive needs

Take a look inside

Our verdict

4.2 / 5

Akkio's genuine strength is real, fast predictive modeling without a data science team, and its clear, deliberate repositioning toward media and advertising agencies — backed by named partnerships with Horizon Media and Havas, including a January 2026 announcement tied to Havas's broader €400 million agentic AI investment — reflects a company finding real, focused product-market fit rather than staying spread thin across every industry. The honest, current thing worth understanding before evaluating it seriously: as of July 2026, every self-serve pricing tier has been replaced by a single "Contact Sales" path, meaning there's no longer a public starting price to anchor expectations against, a real, current shift away from the platform's earlier $49-60/user/month self-serve pricing. Combined with a genuinely narrower focus now on agency-specific use cases and less granular control than a fully coded ML approach would offer, Akkio remains a strong, well-positioned choice specifically for media agencies needing fast, white-labeled predictive analytics for clients — for broader, non-agency business intelligence needs, a more general-purpose platform is worth comparing first.

FAQ

Who is Akkio built for now?

The platform has clearly repositioned away from general-purpose predictive AI toward media and advertising agencies specifically, with real, named partnerships at Horizon Media and Havas reflecting that strategic shift.

How much does Akkio cost?

As of July 2026, there's no public pricing at all — every tier has been replaced by a single "Contact Sales" path for the Enterprise AI Analytics Platform, though historical starter pricing (no longer available) ran roughly $49-60 per user per month.

Does Akkio offer a free plan?

No, Akkio has never had a permanent free tier — only a free trial or demo is typically available before an enterprise sales conversation.

What is Akkio's partnership with Havas?

Announced in January 2026, it's part of Havas's broader €400 million investment in agentic AI solutions, expanding Akkio's footprint within one of the world's largest advertising agency networks.

What can Akkio predict?

Common use cases include lead scoring, customer churn prediction, customer lifetime value modeling, propensity modeling, sales forecasting, and media-mix modeling for advertising campaign optimization.

Is Akkio a good fit for general business intelligence needs?

Not as much as it once was — its genuine focus is now media agencies specifically, meaning teams outside that niche with broader BI needs are likely better served by a more general-purpose predictive analytics platform.