The AI industry continues to release tons of new models, and companies looking to stay competitive are racing to adopt them for their purposes. In fact, nearly 10% of businesses plan to spend a whopping $25 million this year on AI initiatives, according to tech consulting firm Searce. But while lots of money is being spent on AI, it’s unclear the ROI is there. Half of all AI leaders aren’t sure how to calculate or demonstrate the value of AI projects, according to Gartner.
Ex-Airbnb data scientist Chetan Sharma makes the case that figuring out AI ROI is no heavy lift with the right tooling. Sharma is the co-founder of Eppo, an experimentation platform that lets customers evaluate and customize AI models for specific use cases. Beyond its model evaluation suite, Eppo provides a general A/B testing platform and service for apps and websites.
"With new AI models launching weekly and companies pouring millions into them, A/B testing offers a cost-effective way to evaluate their effectiveness without overspending," Sharma told TechCrunch. "Eppo helps companies identify which models truly deliver value and enables smarter, more sustainable decisions in an environment of rapid innovation and escalating costs."
Eppo competes with a number of experimentation and A/B testing startups in the market, including Split, Statsig, and Optimizely. Big tech giants like Google, Meta, and Amazon also offer similar services, but Eppo stands out for its unique features.
What Makes Eppo Different?
Eppo’s most standout feature is its ability to handle large-scale A/B testing with ease. Unlike traditional tools that require significant computational resources, Eppo can process millions of data points in real-time, making it ideal for big data environments.
Another key innovation is its AI-powered recommendation engine. This engine automatically suggests optimal splits and KPIs based on historical performance data, saving teams hours or even days of manual setup.
Eppo also includes a robust analytics dashboard that provides detailed insights into test results, including statistical significance, lift metrics, and business impact. The platform’s modular design allows businesses to customize their testing workflows to fit specific needs.
Why Eppo is on the Cutting Edge
The rise of AI experimentation platforms like Eppo reflects a growing demand for tools that can help businesses make data-driven decisions quickly and efficiently. With the increasing complexity of AI models, understanding how they perform in real-world scenarios has become crucial.
Eppo’s ability to simplify A/B testing has made it a favorite among startups and established enterprises alike. Its user-friendly interface and automated workflow capabilities have significantly reduced the learning curve for new teams.
Moreover, Eppo integrates seamlessly with popular AI frameworks like TensorFlow and PyTorch, making it easy for developers to incorporate into their workflows. The platform also supports multi-experiment tracking, allowing businesses to compare results across different models or changes simultaneously.
Impact of Eppo on the Market
Eppo has already gained a significant following in the AI community. Its success is attributed to its innovative approach to experimentation and its ability to bridge the gap between theoretical AI models and practical implementation.
The company’s focus on creating tools that empower developers to deliver value quickly has set it apart from competitors. Eppo’s growing list of enterprise customers, including several major tech companies, speaks volumes about its potential to revolutionize the way businesses build and deploy AI systems.
The Future of Eppo
As the AI landscape continues to evolve, so too must the tools that help teams navigate its complexities. Eppo is well-positioned to meet this demand with its ongoing product development efforts. The company is exploring new features, including enhanced machine learning capabilities and better integration with third-party analytics platforms.
For now, Eppo stands as a shining example of how AI experimentation can be made accessible and effective for businesses of all sizes. With its innovative platform and user-friendly design, it’s poised to become a cornerstone of the AI ecosystem in the years to come.
