7 Reasons Why Your Data Extraction Partner Must Leverage BYO LLM Models

Large Language Models (LLMs) are rapidly being adopted across various industries as businesses recognize their potential to transform workflows and extract value from large data sets.

According to McKinsey, nearly 65% of organizations are jumping onboard the LLM and Gen AI train, reporting regular use of generative AI (like LLMs), almost double the number from just a year ago.

Many companies are either building their own LLMs or training existing ones to understand their specific taxonomy and language. But even with the best LLM, you still need the right tools to extract valuable insights from your documents.

And to achieve the best results, you need to partner with the experts. Adlib’s data extraction module seamlessly plugs into your existing LLMs, already trained on your data. We perform the heavy lifting by transforming unstructured formats into structured, AI-enabled data that’s ready to work for you. Using tailored prompts (more on that soon), we leverage your pre-trained LLMs to pull out critical information, delivering it in machine-readable formats like JSON and XML, whether to enrich documents with metadata or feed this data into analytics tools.

Adlib makes the whole process easy and efficient. Here is how!

1. It Makes Your LLM Smarter—By Doing the Prep Work for You

You’ve already invested in training your LLM on your specific data, but now you need it to actually deliver the insights you need. Adlib steps in by preparing your unstructured documents for extraction. We convert everything into AI-ready formats and use our tailored prompts to ensure that your LLM knows exactly what to look for. The result? Your LLM pulls out the most important details, every time.

Here is an example. In the energy industry, a company managing large-scale infrastructure projects might need to extract key data from complex engineering reports, equipment manuals, or environmental impact assessments. These documents are often scattered across various formats like PDFs, scanned drawings, or Word documents. Adlib transforms all these files into structured formats ready for your LLM to process. Using tailored prompts, the LLM can identify and extract key pieces of information such as pipeline specifications, safety protocols, or regulatory compliance details. This extracted data can then be fed into project management tools or compliance monitoring systems, helping the energy company streamline operations, maintain safety standards, and meet regulatory requirements.

2. It Works with Your Existing LLM—No Need to Start From Scratch

No one wants to reinvent the wheel, especially when you’ve already invested in building or training your LLM. The great news is that Adlib works with what you already have. Our solution integrates smoothly with your existing LLM, tapping into its strengths and making it even more powerful by giving it the right data to work with.

It’s kind of like handing a world-class chef the freshest ingredients—they already know how to cook, but you’re making sure they have exactly what they need to make the perfect dish. Whether you’ve trained your LLM on legal documents, financial statements, or technical manuals, Adlib ensures that your system gets the right data in the right format, without extra effort on your part.

3. It Supports Enterprise Compliance and Security Requirements

Large enterprises must rigorously screen AI technologies to ensure compliance with internal security policies. Adlib’s BYO LLM model fits seamlessly within these protocols, allowing companies to use pre-approved LLMs already vetted for security. In other words, with Adlib you reduce risks by not introducing new AI vendors. By partnering with Adlib, organizations can align with their established AI security standards while benefiting from Adlib’s data extraction capabilities.

4. It Leverages Existing Cost Efficiencies

Enterprise companies often have existing agreements with LLM providers, which include cost advantages and favorable terms. With Adlib’s BYO LLM approach, businesses can use their pre-existing LLM contracts, optimizing costs without needing to renegotiate or pay extra for data extraction. For global organizations, this cost-effective approach means Adlib enables the use of sophisticated LLM technology without added expenses, which can translate into significant savings while still leveraging a powerful data extraction solution customized to your specific needs.

5. It Prioritizes Data Security and Trust

To comply with data privacy and security regulations, organizations are cautious about handling sensitive information outside their secure environments. Many companies already trust established providers like Microsoft, AWS, or Google with their infrastructure. Adlib respects this trust and enables organizations to integrate our solution within their existing AI models, keeping their data secure without sending it beyond trusted firewalls. This way Adlib’s extraction process doesn’t compromise data security and provides peace of mind by allowing customers to retain control over where and how their data is processed.

6. It Streamlines Your Workflows—Saving You Time and Money

When Adlib data extraction integrates with your existing LLM, the results are fast and efficient. Adlib’s module takes your unstructured documents, transforms them, and extracts the data you need, all while feeding that data directly into your workflow. This could mean enriching documents with metadata, automating compliance checks, or even feeding insights into analytics tools. No more time wasted manually sorting through data or formatting documents.

Think about a manufacturing company that needs to process thousands of invoices and technical documents each week. Adlib converts these documents into structured formats and extracts key data—such as part numbers, quantities, and vendor details—automatically feeding it into their ERP system. The entire process becomes seamless, saving countless hours and reducing manual errors.

7. It Future-Proofs Your Data—Ensuring You're Ready for What’s Next

Technology is moving fast these days, that’s why having a system that can adapt to new changes is critical. Adlib’s data extraction module doesn’t just make things easier today—it sets you up for future success. As your business evolves and regulations change, your pre-trained LLM can be updated and re-trained as needed. Adlib continues to work alongside it, providing the tailored prompts and structured formats to ensure your data extraction keeps pace. Adlib is committed to 2 releases per year, ensuring that our customers are leveraging our latest tech.

For example, in finance, where regulations are constantly shifting, being able to adjust your system without overhauling it entirely is key. Adlib ensures that, as you update your LLM for new compliance requirements, your data extraction process remains smooth and efficient, allowing you to stay ahead of the curve.

Final Thoughts: Partnering your LLMs and Adlib for the Ultimate Data Extraction Solution

To sum it all up, combining the power of your pre-trained LLMs with Adlib’s data extraction offers new levels of efficiency, accuracy, and adaptability. We do the groundwork by transforming unstructured documents, prompting your LLM to extract the data that matters, and delivering it in formats that feed directly into your workflows. It’s fast, it’s powerful, and it’s exactly what your business needs to stay competitive in a data-driven world.

BECAUSE training your LLM is just the beginning. Adlib takes data extraction to the next level.

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