The Rise of Scaled Inference: Democratizing AI for Businesses
Google Brain—Google’s groundbreaking artificial intelligence and machine learning initiative—has powered transformative technologies like Android’s speech recognition and Google+ photo search. Now, two veteran Google engineers, including a former Google Brain team member, have launched Scaled Inference, a startup aiming to bring enterprise-grade AI to the masses through cloud-based solutions.
Founding Team and Investor Backing
Founders:
- Olcan Sercinoglu: Google veteran since 2001, previously founded Imanen (adaptive mobile apps).
- Dmitry Lepikhin: 8-year Google engineer, worked on Sibyl (used in YouTube and Google Play).
Investors:
- $8M seed funding (projected) from Tencent, Felicis Ventures, Amplify Partners, and prominent Google engineers.
- Quora CEO Adam D’Angelo also among backers.
Why Leave Google? A Vision for Independent AI
Despite having the opportunity to develop their project within Google, the founders chose independence. Sercinoglu explains:
“We could have built this at Google, but we saw a chance to create a self-sustaining company that makes AI accessible to everyone.”
This aligns with a growing trend—dubbed the “Google Brain Drain”—as top AI talent migrates to startups or compe*****s like Facebook and Apple.
Scaled Inference’s Mission: AI as a Neutral Platform
Unlike AI pioneers like DeepMind (focused on human-level AI) or Vicarious (brain-inspired systems), Scaled Inference takes a pragmatic approach:
- Cloud-first strategy: Delivers machine learning via APIs for real-world applications.
- Context-aware intelligence: Powers apps that adapt to user behavior, location, and history.
- Vertical-agnostic: Serves diverse industries without mimicking human cognition.
Sercinoglu’s analogy:
“If niche AI tools are specialized search engines, we aim to be the Google of artificial intelligence.”
Key APIs at Launch
- Pattern Recognition: Detects anomalies and trends in submitted data.
- Action Prediction: Forecasts user behavior based on input (e.g., customer service surveys).
- Smart Ranking: Prioritizes content by engagement likelihood (evolved from Imanen’s River app).
The Bigger Picture: AI’s Mainstream Moment
As giants like LinkedIn integrate AI into consumer apps, Scaled Inference positions itself to fuel the next wave of intelligent software. Sercinoglu notes:
“AI isn’t new for big tech, but now it’s visible everywhere. We’re enabling developers to build context-sensitive apps without deep ML expertise.”
With a seasoned team, heavyweight backing, and a focus on practical AI, Scaled Inference could redefine how businesses harness machine learning—no PhD required.
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