No-code AI for business analytics. Build predictive models from spreadsheets in 10 minutes. Used by 200+ agencies.
Akkio turns CSVs and database connections into predictive models without writing code. Upload a spreadsheet of past customers with their conversion outcome, and Akkio builds a churn model, lead scoring model, or revenue forecast in 10 minutes. Originally built for paid media agencies (predict which ad clicks convert), it now powers forecasting and classification across marketing, sales, and operations. The 2025 update added generative BI: ask "why did revenue drop in March?" in plain English and get a chart-backed answer.
Who it's for: Marketing agencies, growth teams, sales ops, and any business analyst who wants ML on their data without a data team.
Upload CSV or connect to BigQuery, Snowflake, Postgres, MySQL, HubSpot, Salesforce. Akkio auto-detects column types, suggests the right model, and trains it. No Python.
The two highest-ROI use cases. Lead scoring deploys directly to HubSpot/Marketo. Churn models identify at-risk customers weekly based on usage patterns.
Ask questions in plain English, get chart-backed answers. "Show me top 10 customers by predicted LTV" or "Why did conversions drop last week?" โ answers with the actual chart.
Push lead scores directly into Google Ads, Meta Ads, TikTok as conversion signals. Improves bidding and lowers CPA within days โ the closest thing to "AI that pays for itself."
For agencies and growth teams that need ML on their data without a data team, Akkio is the best option in 2026. The ad-platform deployment alone is worth $49/mo for any business spending $10k+/month on Google or Meta. If you already have data scientists and Snowflake, you don't need Akkio. If you're drowning in CSVs and need predictions, it's a no-brainer.
No-code ML โ strongest for time-series forecasting.
Chat with your data โ Python-grade analysis, no code required.
AI-native financial modeling โ replaces Excel for finance teams.
Deep-learning AI agents โ heavier lift, more flexibility.