You've heard the hype about AI. You've seen the flashy demos. But you know better than most that generic AI just doesn't cut it for growth-stage companies like yours.
You need an intelligence system tailored to your specific needs, one that can grow and evolve alongside your business. And that's where CLMs come in.
CLMs - or Contextual Learning Machines - are purpose-trained intelligence systems designed to help growth-stage companies outgrow generic AI.
They do this by learning from your specific context, your unique data, and your unique business challenges. In other words, they're not just another generic AI solution. They're a tool that can help you control your own intelligence system.
And the best part? You don't have to be a rulebreaker or a boundary-pushers to benefit from CLMs. You just have to be willing to embrace purpose-trained intelligence systems over generic AI solutions.
Rulebreakers and Boundary-Pushers
You don't have to look far to find examples of companies that are pushing the limits with CLMs. Companies like:
Zalando, the online fashion retailer that used a CLM to predict which clothes would sell best in different regions based on local weather patterns.
These companies didn't just adopt CLMs. They embraced them as a tool for controlling their own intelligence systems. And they reaped the rewards:
Zalando saw a 20% increase in sales in regions where it used its CLM to predict which clothes would sell best based on local weather patterns.
