Blockify® Technology

Turnkey AI’s Blockify technology ingests and distills millions of documents into modular blocks of content, called IdeaBlocks, de-duplicating, unifying, and aggregating the data to maximize accuracy; ensuring content across the entire enterprise can be kept up-to-date regardless of volume. 

Using Blockify you can improve the accuracy of a large language model using retrieval augmented generation by 40 times (4000%)!

Without an effective and real time approach to content lifecycle and updating all current and future documents your organization creates, your AI will never be fully accurate. It’s garbage in, garbage out. And if you can’t trust your AI to always be correct, then you can’t ever trust it to be correct because the mistakes are unpredictable.

Turnkey AI creates a single source of truth. Distilling your information, content, and knowledge down to 2.5% of the original size, allowing for easy content lifecycle management. 

Blockify’s patented approach allows for greater governance, control, management, and quality of data while simplifying human control and accuracy.

Customer data factories will have exabytes of data that need to be managed and controlled for accuracy.

Millions of old documents, emails, slide decks, PDFs and tens of thousands of new ones created every single day.

Even if you have a perfect set of data for your AI on day one, every few months something about your business is guaranteed to change. Even 5% out of date data can demolish AI credibility.

The challenge is: you never know what is going to change, or what content may be affected. Is the change in document 467, or document one million seventeen-thousand three hundred and eighty-six? 

Good luck finding and updating all of them…

But even if you can somehow update all your old documents, you’re not finished yet – because a truckload of new documents have been created by your workforce faster than your team can review and update. 

Doing things the old way, will require you to manually read through millions of documents and find every incorrect statement on every single page, in every single sentence, and no-pressure, but if you miss even one, it will reduce the accuracy of your AI, creating significant business risk and churn.

The more data, the more the problem starts to compound – It’s like finding a needle in a sea of needles, all while you have an entire enterprise of employees making new needles to add to the pile – tens of thousands of times per day. There are physically not enough hours of employee time to do this.

Using Blockify, One million documents with a billion words, can be distilled and de-duplicated to a fraction of the size. Whenever an update is required, simply find the single block that needs to be updated, make the change, save, and have certainty the next time the AI retrieves and answers, it’s guaranteed to be correct.

Using Blockify you can improve the accuracy of your large language models by 40 times by distilling millions of documents into modular blocks of content, called IdeaBlocks, de-duplicating, unifying, and aggregating the data to maximize accuracy; ensuring content across the entire enterprise can be kept up-to-date regardless of volume.

As your organization begins to take the first steps in the Iternal® transformational journey, it will be critical to enable your employees with a strong foundation of content to leverage within the Modular Component® ecosystem. Our Blockify® Technology offering enables an organization to migrate existing documents such as text, word documents, PDFs, Slide Deck Presentations, videos, and audio into IdeaBlocks.

In addition to providing the technology required to convert existing media into IdeaBlocks, our team also offers training on the Blockify® Process through a webinar training offering.

Our team is also capable of providing in person professional and consulting services to complete the Blockify® process lead by train and certified Blockified experts, this team will provide the leadership and execution required to deliver a successful outcome.