Head-to-Head
Akkio vs Obviously AI (2026)
Akkio
Paid★ 4.4
Best for: building lead scoring models for sales teams without a data scientist, predicting customer churn from crm and product usage data
Obviously AI
Paid★ 4.3
Best for: predicting which sales leads are most likely to convert, forecasting inventory demand without hiring a data scientist
Akkio and Obviously AI are both no-code machine learning platforms that let business teams build predictive models without writing code. Akkio integrates more deeply with CRM and marketing tools for ongoing scoring workflows. Obviously AI is faster for one-off predictions and produces more executive-friendly explainability output. Both are strong for non-technical teams.
Feature Comparison
Ease of Use
Both are genuinely no-code. Upload a CSV, select a target column, and get a trained model in minutes. Neither requires data science knowledge.
CRM and Tool Integrations
Akkio integrates with HubSpot, Salesforce, and Google Sheets for live prediction scoring in existing workflows. Obviously AI has fewer direct CRM integrations.
Explainability
Obviously AI produces clean, plain-language explanations of model drivers designed for stakeholder presentations. Akkio explanations are solid but less polished.
API Deployment
Obviously AI one-click API deployment allows predictions to be embedded in other applications without engineering support. Akkio offers API access on higher-tier plans.
Chat and Conversational Interface
Akkio chat lets you ask questions about your data and get visualizations in conversation. Obviously AI is more workflow-oriented with less conversational capability.
Pricing
Akkio from $49/month. Obviously AI from $75/month. Both are competitive for the ML automation value delivered.
Model Accuracy
Both platforms use automated model selection across multiple algorithms and tune hyperparameters automatically. Accuracy is comparable for standard business prediction tasks.
Verdict
This comparison is context-dependent. Akkio scores 31/35 and Obviously AI scores 29/35. Choose based on your specific workflow needs.
Bottom Line
Akkio and Obviously AI are both no-code predictive analytics tools letting business teams build ML models without data scientists. Akkio is the more polished, modern option in 2026 with a Chat-with-Data interface, time-series forecasting, and direct CRM integrations (Salesforce, HubSpot). Obviously AI is the older, broader platform with a wider model variety and longer track record but a more dated UI. Pick Akkio if you want the cleanest modern UX and CRM-integrated predictions. Pick Obviously AI if you need broader model variety or are already an Obviously customer. Pricing: Akkio $50-$1500/mo; Obviously AI $75-$399/mo.
Pick Akkio
You are a marketing, sales, or RevOps lead who wants to predict churn, forecast pipeline, or score leads using your CRM data without involving data scientists. Akkio Salesforce/HubSpot direct integration is the killer feature. Best for SMB and mid-market teams.
Pick Obviously AI
You need broader model variety (classification, regression, time series, NLP) and a more flexible workflow. Obviously AI has been in the no-code-ML space longer and supports more diverse use cases. Best for analytics teams running varied ML projects.
Frequently asked
Which is easier for non-technical users?
Akkio in 2026. The Chat-with-Data interface lets you ask questions in plain language. Obviously AI requires more upfront understanding of model selection and metrics.
Does either replace data scientists?
For straightforward predictive use cases (churn, pipeline forecast, lead scoring), yes. For novel ML problems or production-grade ML systems, neither is a substitute for an actual ML team.
Can I integrate with Salesforce?
Both support Salesforce. Akkio integration is more polished and includes bidirectional sync (predictions write back to records). Obviously AI integration is one-way export by default.
Is there a free trial?
Both offer free trials. Akkio is more generous (no credit card, full features). Obviously AI requires a sales call for full evaluation in 2026.