AI redefined for business growth

IKASI utlizes advanced AI techniques to optimize individual customer engagement and loyalty without compromising on data security, privacy, or integrity. 

IKASI wasn’t built overnight and isn’t another GenAI company. It was founded in 2013 by an experienced team of data scientists and mathematicians. Over time, we’ve figured out what AI techniques are effective using scientific experimentation.

The Result?
Immediate and continuously improved revenue and P&L. 

Know your customers like never before.
IKASI rapidly and continuously experiments on over 2,000 data points to discover enough signals to identify what’s effective and why. The result is more accurate, precise, individualized recommendations that continuously improve over time.

Accelerate ai-powered results
With IKASI, it’s like having hundreds of data scientists who examine all possibilities to uncover what truly drives outcomes at the individual level. Meanwhile, you have full control. We work directly with you and your team to align goals and priorities. We will ensure you see immediate net revenue and P&L results.
Low risk, cost, and complexity.
IKASI rapidly and continuously experiments on over 2,000 data points to discover enough signals to identify what’s effective and why. The result is more accurate, precise, individualized recommendations that continuously improve over time.

Corne Nagel – Lead Data Scientist, IKASI
Explore the potential of AI experimentation with insights from a data science expert. Conduct numerous simultaneous experiments to uncover valuable microchanges, coupled with real-time analysis for diverse use cases and substantial business growth. Read the article

Anthony Chong, CEO, IKASI
AI is not one-size-fits-all. For successful AI implementation, the key is thoughtful application and alignment with risk levels. Enterprises need to carefully think through every application and assess how to mitigate risks associated in order to unlock AI’s potential appropriately. Read the article.

Anthony Chong, CEO, IKASI
Reinforcement Learning (RL) in machine learning promotes favorable behaviors in specific environments, fostering iterative learning. Its adaptability finds applications in robotics, self-driving cars, retail, and more, aiding businesses in achieving specific goals. Read the article

want to see what IKASI can do for you?

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