Today, we’re introducing the Seekr AI-Ready Data Engine, an intelligent system within the SeekrFlow™ platform that enables enterprises to transform diverse types of data into a generative AI-ready format more quickly, accurately, and cost-effectively.

We estimate that 80% of enterprise data exists in unstructured file types scattered across the organization. AI projects are being stalled by costly and time-intensive methods to gather, label, and structure this data for AI applications.

From raw data to AI-ready intelligence—all in one platform

With Seekr, enterprises can accelerate model deployment by not only structuring their business data but also ensuring it’s in a format AI can learn from. Data structuring is just the first step—LLMs require information to be organized, labeled, and formatted in a way that supports reasoning, retrieval, and fine-tuning. Instead of relying on costly, error-prone manual annotation or piecing together multiple tools, businesses can simply upload their data as-is. The Seekr AI-Ready Data Engine automates the entire process—ingesting, structuring, and optimizing data into high-quality, AI-ready datasets for fine-tuning, enhanced retrieval, and other agentic applications—all within the SeekrFlow platform.

Key features and benefits

Reduce data prep time from months to days

Traditional data preparation for AI projects is time-consuming and costly, often requiring data scientists to manually structure, label, and cleanse large datasets. The Data Engine automates this process, enabling users to build datasets on average 2.5 times faster and 90% more affordably than traditional methods. This enables enterprises to accelerate time-to-market, with a customized, fine-tuned AI model ready in days instead of months.

Bring in diverse sources of unstructured data

Most enterprise data exists in unstructured, hard-to-use file types such as PDF, DOCX, MD, and others, making it difficult to leverage effectively for AI applications. The Data Engine can ingest these files in their original form, automatically extracting and structuring the data into a format that LLMs can easily learn—and simplifying the process for enterprises to transform their data into actionable intelligence.

Organize data to capture key signals and reduce noise

Raw enterprise data often contains irrelevant information that can dilute AI performance. The Seekr AI-Ready Data Engine extracts and structures data to highlight the most critical signals, ensuring that models focus on relevant patterns while filtering out unnecessary noise. By breaking down complex documents into clear sections and removing redundant or low-value content, the Data Engine helps LLMs learn from concise, context-rich datasets—accelerating training and improving accuracy.

Boost model performance without slowing down development

Raw data alone isn’t enough to build high-performing AI. The Seekr AI-Ready Data Engine transforms unstructured data into structured, high-quality training data, improving model accuracy by up to 3x. By automating data structuring and augmentation, Seekr ensures that AI models learn from precise, well-organized datasets—leading to more reliable outputs and better decision-making.

Ensure consistency and relevance across AI applications

AI models need data tailored to specific tasks, but maintaining consistency across different use cases can be challenging. The Seekr AI-Ready Data Engine allows businesses to generate structured datasets aligned with their unique system prompts, ensuring that data supports both fine-tuning and real-time retrieval. This flexibility means the same platform can prepare data for diverse AI applications—whether training a domain-specific LLM, powering an enhanced retrieval system, or supporting multi-agent workflows—without compromising accuracy or performance.

Train your model, no matter the use case

From fine-tuning domain-specific models for maximum accuracy to enhancing the performance of RAG systems with enhanced retrieval, here is how the Seekr AI-Ready Data Engine is helping our customers build trusted AI applications and get to market faster:

• Automating risk & compliance: Global risk management leader Exiger utilizes Seekr to transform complex due diligence and risk data into structured reports—the automated report generation reduces reporting time from five hours to near real-time.
• Advancing national security AI: Seekr is collaborating with a defense agency to develop automated, multi-agentic processes that rapidly identify, synthesize, and derive insights from vast and disparate data sources.
• AI-driven product discovery: Global entrepreneurship platform, OneValley leveraged Seekr to build, validate, and deploy Haystack, an AI-powered product recommendation chat interface that significantly reduces the time it takes entrepreneurs to find the right tools to scale their businesses.

“With Seekr, OneValley processed and structured thousands of product and user data points into an AI-ready format, enabling our LLMs to generate accurate, real-time recommendations. This eliminated the need for an in-house data engineering team, cutting months of development time and accelerating Haystack’s market launch.”

Alec Wright, CPO, OneValley

How it works

The Data Engine autonomously transforms diverse sources of unstructured data into high-quality, training-ready data tailored to domain-specific AI applications. Rather than relying on generic or synthetic datasets, it refines and organizes user-supplied data into a format that AI models can learn from, enabling the creation of trusted models for enterprise AI applications.

1. Upload & organize

A user starts by uploading key knowledge—examples could be company documents, procedural guides, industry regulations, or brand guidelines. The Data Engine processes this information, structuring it for seamless AI integration so the model learns from expertise rather than generic external data sources.

2. Enhance & refine

The Data Engine continuously analyzes, improves, and refines the dataset to ensure clarity, consistency, and completeness. It autonomously structures data in a format that is optimized for AI comprehension and use, making it suitable for a wide range of AI applications beyond just chat models. This enhanced structure ensures that data is easily adaptable to various use cases, from knowledge retrieval to decision-making systems and more.

3. Validate & ensure quality

Every dataset undergoes a rigorous validation process, ensuring AI is trained on reliable, well-structured data that truly reflects the knowledge and expertise of the user. This process reduces errors and bias, making AI more effective and dependable for specialized use cases across industries.

Start building today in the SeekrFlow platform

Struggling to get your enterprise data AI-ready? Sign up for SeekrFlow today through our API, SDK, or intuitive UI to try the Seekr AI-Ready Data Engine and accelerate your AI workflows. Or, book a consultation with a product expert to learn more.