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Scaled Inference provides Amp.ai, an artificial intelligence software platform optimizing key performance indicators for customers. This platform enhances digital products, like websites and mobile applications, continuously improving metrics such as user acquisition, engagement, conversion, and revenue. Utilizing machine learning and probabilistic inference, Amp.ai offers sophisticated business optimization capabilities.
Founded in 2014 by Olcan Sercinoglu and Dmitry Lepikhin, Scaled Inference arose from the need for more effective, accessible AI in performance optimization. With backgrounds in AI and scalable systems, they built a platform to autonomously and continuously improve vital business metrics, moving beyond traditional optimization strategies.
Scaled Inference serves organizations seeking to elevate digital product performance. Its vision delivers useful, accessible AI, empowering customers to efficiently optimize operational and user-centric outcomes. By focusing AI applications on measurable results, Scaled Inference redefines enterprise approaches to continuous improvement and strategic growth.
Scaled Inference has raised $6.0M across 1 funding round.
Scaled Inference has raised $6.0M in total across 1 funding round.
Scaled Inference has raised $6.0M in total across 1 funding round.
Scaled Inference's investors include Accelerator Ventures, Battery Ventures, CoinFund, Felicis Ventures, Greylock, IDG Ventures, Lux Capital, Moment Ventures, Alexander Rosen, Tenaya Capital, Steve Krausz.
Scaled Inference is an AI technology company that builds autonomous optimization platforms to deliver personalized experiences at scale, enabling enterprises to drive exponential business growth. Its flagship product, Amp.ai, eliminates the guesswork of traditional A/B testing by continuously learning and improving through AI, serving website operators, application developers, and growth leaders in marketing and product teams.[2][1] The company solves the limitations of manual experimentation by providing a simple, data-scalable solution for hyper-personalization, with early traction among top enterprises as of 2018.[2]
Founded around 2014 by ex-Googlers, including CEO Olcan Sercinoglu, Scaled Inference emerged to create a cloud-based AI platform accessible to third parties beyond Google's ecosystem.[4][2] The idea stemmed from recognizing AI's potential to power optimization at scale, leading to an $8M seed round from Khosla Ventures that same year to build this infrastructure.[4] A pivotal moment came in June 2018 with the launch of Amp.ai at the Internet Retailer Conference, positioning it as the first autonomous optimization platform and marking early adoption by major website operators.[2]
(Note: The company's current site emphasizes AI marketing tool reviews, suggesting a possible pivot from product development to content and insights.[5][7])
Scaled Inference rides the early wave of AI-driven personalization and optimization in enterprise marketing, coinciding with the shift from rule-based A/B testing to autonomous systems amid rising data volumes.[2] Timing was ideal in 2014-2018, as cloud AI platforms democratized access post-Google's internal tools, fueled by investor interest from firms like Khosla.[4] Market forces like hyper-personalization demands from e-commerce giants (e.g., Google, Airbnb clients via partners) favor its model, influencing the ecosystem by pioneering scalable AI for non-experts and paving the way for modern tools in a now-exploding GenAI era.[2]
Scaled Inference could evolve by integrating advanced reasoning models into Amp.ai or expanding its AI tool review platform into advisory services, capitalizing on inference scaling trends for real-time enterprise decisions.[5][6] Trends like AI factories and energy-efficient inference will amplify its growth potential, potentially reviving product momentum amid 2025's AI infrastructure boom.[6] As enterprises demand production-grade AI beyond hype, its early focus on accessible optimization positions it to influence sustained, scalable personalization—echoing its founding mission to unlock AI's full power for all.[1][2]
Scaled Inference has raised $6.0M across 1 funding round. Most recently, it raised $6.0M Seed in June 2014.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Jun 1, 2014 | $6.0M Seed | Accelerator Ventures, Battery Ventures, CoinFund, Felicis Ventures, Greylock, IDG Ventures, Lux Capital, Moment Ventures, Alexander Rosen, Tenaya Capital, Steve Krausz |