90% of AI projects fail to deliver meaningful results.
Most companies use generic AI models that can't adapt to their specific needs. The reason for this isn’t the inherent flaw in AI, but convenience: off-the-shelf models may give you a quick fix, but they aren't tailored to your business, your data, or your goals.
Custom CLMs, on the other hand, are like a perfectly fitted pair of running shoes.
They're designed specifically for you, based on your data, your business needs, and your goals. And just like a good pair of running shoes, they can help you outrun the competition.
But let's be clear: Custom CLMs aren't for everyone.
They require significant time, effort, and expertise to build and maintain.
That's why many companies opt for off-the-shelf models - because they're easier and cheaper.
So which wins? The answer is simple: It depends on your goals.
If you're content with generic AI, off-the-shelf models may be enough. But if you want to outgrow generic AI, if you want to own and control your AI to outrun the competition, then custom CLMs are the way to go.
It's not about being better than everyone else - it's about being better for yourself. It's about using AI to optimize your business, to make decisions based on your data, to achieve your goals. And that's only possible with purpose-trained intelligence systems - systems that are designed specifically for you, for your data, for your goals.
