Obviously AI Review, Pricing & Alternatives (2026)

Obviously AI was a no-code machine-learning company founded by Nirman Dave and Tapojit Debnath. Its original service targeted mid-market businesses and analysts without dedicated data scientists, allowing them to create supervised-learning models from business data. TechCrunch reported a $4.7 million seed round in July 2021, increased from $3.6 million two months earlier, along with more than 3,000 clients and over 82,000 hosted predictive models. The product supported forecasts, classifications, model sharing, APIs, embedded predictions, and integrations with databases and business applications. On February 11, 2025, the company announced that Obviously AI had become Zams. Zams now presents an enterprise platform for AI agents focused on sales and business operations, including research, meeting preparation, CRM updates, and workflow automation. The former modeling service and current Zams brand therefore represent different product directions.

The legacy workflow let analysts upload tabular business data, select a prediction target, and produce a model without writing code. It supported classification, forecasts, time-series analysis, data validation, model sharing, APIs, embeddable predictions, and connections to MySQL, BigQuery, Salesforce, and Zapier. Its Edge-Sharp AutoML system shortlisted five candidate models, tuned their hyperparameters, and returned prediction results. Users could also request data-scientist assistance for model creation, data cleaning, source merging, audits, and related advice. This made the service suitable for teams without dedicated data scientists that needed a working forecast or classification model. The workflow was narrower than Dataiku or DataRobot, which provide broader enterprise modeling and governance features, while Akkio offered a closer no-code analytics comparison. Availability changed after Obviously AI became Zams in February 2025.

The legacy technology was automated machine learning rather than a named foundation model. TechCrunch described Edge-Sharp AutoML as a proprietary system that shortlisted five candidate models, tuned their hyperparameters, and returned predictions for each dataset. The company also highlighted automatic model improvements, manual model selection, shareable models, data validation, and time-series forecasting. Its workflow supported classifications and forecasts from tabular data, with API access and integrations including MySQL, BigQuery, Salesforce, and Zapier. The company does not document a clearly dated 2025 or 2026 release for that predictive-analytics service. Zams, the successor announced on February 11, 2025, describes a different Z1 Engine combining multi-tool orchestration, persistent memory, and contextual reasoning. Recent Zams updates added multi-agent meeting preparation and support for Claude Sonnet 4.6, GPT-5.1, and GPT-5.2.

Zams pricing has replaced the historical Obviously AI schedule. Evan, a meeting-intelligence worker, is listed at $50/month. Automation Platform Basic costs $125/month for one user, 1,000 agent tasks, 10 enrichment tasks, and three PDF pages. Pro costs $1,208/month for one user, 50,000 agent tasks, 1,000 enrichment tasks, and 100 PDF pages. Team costs $1,417/month for 25 users, with the same listed task and page allowances as Pro. The displayed Pro and Team prices correspond to a 200,000-task selector state. Zams offers monthly and annual billing choices, so check the selected cadence and task volume before purchase. Enterprise pricing is custom, including agent tasks, enrichment tasks, PDF pages, support, and governance options. Zams advertises a guided trial rather than a permanent free tier.

The key limitation is the product transition: Obviously AI became Zams on February 11, 2025. The former service offered a short, no-code route from tabular data to forecasts and classifications, with APIs, integrations, and optional data-scientist assistance. Dataiku provides broader data-science workflows and governance, while Akkio is a closer comparison for no-code business analytics. DataRobot targets automated machine learning with deeper enterprise modeling capabilities, and H2O Driverless AI offers another automated modeling alternative. Zams now focuses on AI workers that research information, prepare meeting briefs, update records, and execute workflows across connected applications. Its current plans start at $50 per month for Evan and $125 per month for the Basic platform plan, rather than a dedicated legacy modeling subscription. Buyers needing a maintained model catalog or current standalone predictive-analytics pricing should look elsewhere. Choose Obviously AI only if you need its former workflow and confirm continued access first.