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ThinkingAI

AI SaaSVerified90% conf

Enterprise SaaS platform for real-time data analytics and autonomous business operations in gaming

thinkingai.io ↗

📍 Shanghai, China

Verified Data

💰

Est. Revenue$20M-$50M ARR

“Based on Series C funding stage ($92.5M total), 300-500 employees (typical SaaS companies generate $100K-$200K revenue per employee), and serving 1,500+ enterprise customers in gaming industry”

🚀

Funding$92.5M total, Series C ($29M in 2021)

“total_amount: $92.5 million, stage: Series C ($29M latest round in 2021)”

📊

Monthly Traffic50,000 visits/month

🔗similarweb.com↗

👥

Users1,500+ global companies

🔗pocketgamer.biz↗

🧑‍💻

Team Size300-500 employees

“size: 300 - 500 employees”

📈

GrowthProcesses data for 100M+ DAU, handles billions of events daily

🔗pocketgamer.biz↗

🏷️

StageSeries C (2021)

📅

Founded2015

Company Profile

ModelEnterprise SaaS

VerticalGaming industry, Enterprise AI

ClientsHabby, FunPlus, Lilith Games, IGG, Garena

BuyersGame developers, data scientists, and product managers at mid-to-large tech firms

PricingCustom Enterprise Pricing (estimated $1,000-$5,000/month for mid-market studios)

Contact

✉️ [email protected] LinkedIn

@ThinkingData_

Strategic Analysis

Strategy

Pivoting from traditional data analytics to AI-first autonomous operations with their new 'Agentic Engine' platform. Targeting enterprise customers in gaming and data-driven industries with real-time decision-making capabilities. Expanding globally with offices across Asia-Pacific region.

Tactics

Rebranded from ThinkingData to ThinkingAI to signal AI-first positioning. Partnered with MiniMax to launch Agentic Engine for autonomous business operations. Maintains strong presence in gaming industry through specialized analytics solutions and handles massive scale (100M+ DAU, billions of events daily).

Competitive Positioning

Differentiates by focusing specifically on gaming industry analytics and real-time operations rather than generic business intelligence. Positions as an AI-native platform for autonomous decision-making versus traditional data visualization tools. Competes on scale and real-time processing capabilities.

Marketing Approach

Industry-focused approach targeting gaming companies and enterprise AI adopters. Leverages case studies from major gaming clients like Lilith Games and FunPlus. Technical content marketing through engineering blog and conference presence in gaming and data analytics events.