With AI data engineering we make your data ready for the successful implementation of AI solutions
Your data, ready for the AI revolution
AI and the subtle difference between facts and facts
Nuances like the difference between strikethrough and underlined text. A PDF from 1950: yellowed, poorly scanned, and barely legible. Add to that the complexity of document hierarchies, where structure and context are just as important as the content itself.
Understanding these nuances in data is critical. Many companies struggle with unstructured and fragmented data, making it nearly impossible to leverage AI effectively.
We specialize in refining and structuring your most challenging data, ensuring it is ready for seamless AI integration.
With our expertise, your data becomes a powerful asset, enabling transformative AI solutions and propelling your organization into the future.
Quality AI begins with quality data
Our data engineering experts ensure your data is meticulously prepared for AI, allowing future AI solutions to integrate seamlessly with your systems.
Custom data extraction
We tailor data extraction processes to fit your specific needs, ensuring accurate and efficient retrieval of relevant information.
Context-based chunking
Our advanced techniques analyze metadata and context to create precise data chunks, optimizing them for AI processing.
Connector customization
We offer a wide range of customizable connectors to integrate with various data sources and storage locations, such as Google Docs, SharePoint, and Nextcloud.
Specialized extractors
Our extractors are designed to handle specific data types, ensuring accurate extraction from PDFs, DOCX, PPT, and more.
Data refinement
We refine and structure your data, transforming it into a format that is ready for seamless AI integration.
Standalone data pipelining
Our standalone solutions allow you to extract and prepare data for further processing, ensuring it is efficiently ready for AI use.
AI Agents: Revolutionizing how work gets done.
AI agents are intelligent tools that go beyond analysis—they take action. From automating routine tasks like email resolution to making data-driven decisions such as purchasing, ONTEC AI agents streamline workflows, enhance efficiency, and free up your team to focus on strategic priorities. Designed to integrate seamlessly with your systems, they work tirelessly in the background to keep your business running smoothly and efficiently.
Clean data, clear insights.
Our team combines deep technical expertise with a genuine commitment to understanding your unique needs.
Successful AI projects don’t just transform organizations; they boost team morale by empowering employees and fostering innovation.
With our data engineering services, we take the burden off your shoulders, handling the complexities of data preparation so you can focus on what matters most.
Lean back and trust us to do the heavy lifting—together, we’ll pave the way for AI solutions that truly make a difference.
Smart data engineering can change everything
If your data is flawed, your AI output will be flawed too. Ensuring reliable data is essential for achieving accurate and trustworthy AI results.
Minimize AI hallucinations
Reliable data reduces the risk of AI generating inaccurate or misleading results, ensuring trustworthy outputs
Enhance decision-making
Accurate data provides a solid foundation for AI systems to make informed and effective decisions
Builds trust
Consistent and dependable data fosters confidence in AI systems, making users more likely to trust the results
Support complex analysis
Reliable data allows AI to handle complicated and sensitive data structures, delivering precise insights
Ensure compliance
Reliable data helps AI systems adhere to regulatory standards and maintain data integrity, crucial for sensitive applications.
Improve performance
High-quality data ensures that AI systems operate efficiently and effectively, maximizing their potential
Trusted by leading European organizations
FAQ
What is AI data engineering?
Data engineering involves preparing, refining, and structuring data so it can be effectively used by AI systems. It ensures your data is clean, organized, and ready for advanced processing.
Why is data engineering important for AI?
AI systems rely on high-quality, structured data to deliver accurate and reliable results. Without proper data engineering, AI outputs can be flawed or ineffective.
AI data engineering ensures that even subtle document details, like the difference between underlined and strikethrough text, are accurately interpreted. These distinctions can carry critical meaning—such as highlighting key points or marking content as obsolete—and misinterpreting them could lead to errors in decision-making. By structuring and refining data, AI data engineering enables systems to process these nuances effectively, ensuring that your AI solutions deliver precise and reliable results.
Without proper data engineering, AI systems struggle to process unstructured or poor-quality data, leading to inaccurate results and unreliable insights, e.g. AI hallucinations.
What are examples of when advanced data engineering is needed?
While simple data can be managed with basic systems, ONTEC AI is the right choice for organizations dealing with complex, fragmented, or unstructured data that requires precision and reliability. Examples are:
- Formatting: Understanding formatting nuances that can completely change the meaning of a document, like strikethrough vs. underlined text.
- Poorly scanned documents: Processing yellowed, low-quality, or decades-old documents that are difficult to read.
- Archived data context: Interpreting the structure and context of archived data to ensure accurate insights.
- Complex document hierarchies: Navigating multi-layered documents where structure is as important as content.
- Unstructured data: Extracting and organizing information from emails, reports, or other unstructured sources.
- Keyword vs. semantic search: Providing flexible search options to find information based on exact terms or contextual meaning.
- Legal or compliance documents: Ensuring accuracy when processing contracts, regulations, or compliance reports.
- Multilingual documents: Handling data in multiple languages while preserving meaning and context.
- Data integration across systems: Consolidating data from various platforms like SharePoint, Google Drive, or legacy systems.
- Sensitive data handling: Managing and anonymizing sensitive information to ensure security and compliance.
What is ONTEC AI’s special force when it comes to data engineering?
ONTEC AI’s special force in data engineering lies in our ability to handle complex and sensitive data with precision. We use specialized libraries, a wide range of connectors, and customizable extractors to get the job done.
Sounds interesting? I’d be happy to show you how to make your data future-ready through AI data engineering.
Schedule a free consultation with our expert Christian today and discover what’s possible with your data treasure.