ThinkingAI

What is ThinkingAI?

ThinkingAI is a growth platform that pairs product analytics with AI agents. It collects events from your app through SDKs and server integrations, then offers dashboards, cohorts, SQL and ten analysis models, with an agent that answers questions in plain language. Further modules cover experimentation, engagement tasks and journeys, a data foundation with tracking plans and validation, agent management with MCP tools and sandboxes, and governance for roles and usage. The vendor positions it for gaming studios and live-service apps and as an AI layer on top of an existing stack, with fully self-hosted deployment available as an Enterprise option. Pricing is based on monthly event volume: Free at $0 with 2 million events, Starter at $199 per month, Pro at $399 per month, Team at $999 per month, and a custom Enterprise plan. Annual billing is 20% off, and paid plans can be cancelled anytime. Which modules you get depends on your plan and rollout.

Use cases

• Analyze user events and retention
• Run A/B tests and feature experiments
• Launch triggered engagement campaigns
• Query product data in plain language
• Build and govern your own agents
• Track churn and growth signals in games

Who it's for

• Game studios
• Product and growth teams
• App developers
• Data and analytics teams

Why use ThinkingAI

• Pay by events sent rather than by seats alone, with plans from Free to Team.
• Ask data questions in plain language and let agents act on the answers.
• Run experiments and engagement campaigns from the same platform that holds your events.
• Keep control of agents with roles, quotas and usage monitoring.
• Move to a self-hosted setup on Enterprise if data must stay in your environment.

ThinkingAI features

• Ten analysis models, dashboards, cohorts and SQL
• Agent that answers analytics questions in plain language
• Split tests inside engagement tasks and feature experiments
• Scheduled and triggered engagement tasks with a journey canvas
• SDKs, tracking plans and data validation
• Agent management with skills, knowledge bases, MCP tools and sandboxes
• Roles, project spaces and usage monitoring for agents
• Cost limits and quotas for agent members
• Self-hosted deployment on Enterprise

How to get started with ThinkingAI

1. Send events from your app using the SDKs and server integrations.
2. Explore dashboards, cohorts and SQL, or ask the analytics agent a question.
3. Set up experiments and engagement tasks based on what the data shows.
4. Add agents, MCP tools and governance settings as your team grows.
5. Move up a plan as your monthly event volume increases.

ThinkingAI limitations

• Paid plans are metered by monthly event volume
• Free plan includes $10 of Agent Credits in the first month only
• Not every module is on every plan; Enterprise has all of them
• Self-hosting is handled as an Enterprise conversation

ThinkingAI pricing

Yes, ThinkingAI has a free plan. Paid plans start at $199 per month, according to the official pricing page on 24 Oct 2026.

ThinkingAI plans

• Free

  $0

  Free forever

  • 2 million events a month
  • $10 Agent Credits in the first month only
  • 1 project and 1 seat
  • 12 months data retention

• Starter

  $199

  per month, billed monthly

  • 5 million events a month
  • $25 a month Agent Credits
  • 2 projects and 5 seats
  • 24 months data retention

• Pro

  $399

  per month, billed monthly

  • 10 million events a month
  • $50 a month Agent Credits
  • 2 projects and 10 seats
  • 48 months data retention

• Team

  $999

  per month, billed monthly

  • 30 million events a month
  • $100 a month Agent Credits
  • 3 projects and 15 seats
  • 60 months data retention

• Enterprise

  Custom

  • Committed monthly event volume
  • Agent Credits, projects and seats by agreement
  • Unlimited data retention
  • Deployment and support options

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

ThinkingAI alternatives

The main ThinkingAI alternatives listed on Debuly are Krita.ai, SmartMind AI (Qurify), Lyzr, Noca AI, Regie.ai and AISquared. The table compares pricing and platforms; order is A–Z.

1. 

   AISquared

   Enterprise AI platform for building, deploying and governing agentic workflows, RAG chat and data apps across existing business systems.

   Automation and agentsDeveloper platforms
   Contact salesVisit AISquared (official site)
2. KA

   Krita.ai

   Enterprise AI platform that builds agents to automate workflows over documents, video, audio and text.

   Automation and agentsResearch and search
   Contact salesVisit Krita.ai (official site)
3. 

   Lyzr

   Enterprise AI agent platform for building agents in plain language, running them in production and governing them with audit trails and policies.

   Automation and agentsDeveloper platformsProductivity
   FreemiumVisit Lyzr (official site)
4. 

   Noca AI

   Prompt-driven platform for building apps, automations, chatbots and AI agents that connect to your CRM, ERP and other business systems.

   Automation and agentsCodingDeveloper platforms
   FreemiumVisit Noca AI (official site)
5. 

   Regie.ai

   Agentic sales workspace, RegieGO, that researches, enriches, emails and dials prospects from your own inbox and queues LinkedIn tasks.

   Automation and agentsMarketing and SEOWriting
   FreemiumVisit Regie.ai (official site)
6. 

   SmartMind AI (Qurify)

   Qurify from SmartMind AI answers questions across databases and documents with sources shown, using agents built on a company ontology.

   Automation and agentsResearch and searchProductivity
   Contact salesVisit SmartMind AI (Qurify) (official site)

ThinkingAI FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from thinkingai.io · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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