AI-Powered Metadata Extraction
Feith’s AI-powered extractor finds and organizes critical data from your documents, whether structured or unstructured, with zero manual effort.
All of Your Documents – Understood and Under Control
For decades, organizations have been storing countless documents, everything from forms, reports, and contracts to memos and emails, often simply out of habit. In recent years, the sheer volume of these files has grown from terabytes to petabytes. Yet, despite amassing all this content, the valuable data within those documents remain largely untapped. Finding specific information requires someone to manually open each file, read through it, and pull out the needed details.
This process is not only time-consuming but practically impossible for large organizations that store and manage millions of complex documents across siloed repositories. As a result, the valuable data within your documents remains dormant, making it difficult to build dashboards, trigger workflows, or enhance other business processes that rely on carefully indexed information. Feith’s innovative AI-powered metadata extractor transforms this process completely.
Introducing Feith's AI Metadata Extractor
With Feith, instead of relying on complex scripts or tedious manual reviews like you would with pre-AI solutions, you simply instruct the system in plain English about what information you need. For example, if you need to find the dates employees last completed their compliance training, just describe your request— “Find and capture completion dates for mandatory trainings”—and the AI handles the rest.
Once given instructions, Feith’s AI scans every document in your database to quickly identify and extract the necessary data. This means you no longer need to manually open each document.
Learn more about metadata extraction
Understands Context and Synonyms
Traditional indexing solutions only work if the information you’re searching for is formatted in a very specific way. For example, if you’re trying to extract dates from a batch of documents and put those dates into a field in your database, all the dates must follow the exact same pattern. So, if your system expects dates formatted as “MM/DD/YYYY,” it won’t recognize dates written differently, such as “Month Day, Year” or “YYYY-MM-DD.”
Feith’s AI-powered indexer solves this problem because it understands language naturally like a person would. It can find the information you need no matter how it’s written. All you need to do is give simple instructions and the AI won’t miss a thing.
This means you no longer have to memorize arbitrary formatting rules or worry about phrasing things a certain way when generating or indexing your documents. The AI is smart enough to understand exactly what you mean.
Automatically Create Metadata Fields
After extracting the information, the AI automatically creates corresponding metadata fields in your database (e.g., “Training Completion Date”). It populates these fields across every relevant document and attaches the data precisely where it belongs. Once those dates are extracted, they’re available in a clear, searchable format.
This means you can quickly see who’s up to date, send reminders to anyone who’s overdue, and even generate visual summaries when you need an overview of the entire organization. Instead of wasting time digging through documents, you have consistent data that’s easy to use and keeps everyone on the same page. This approach not only reduces the chance of human error, but also helps your organization make better decisions based on accurate, readily accessible information.
AI Optimization for Every Environment
Scalability
Feith’s horizontally scalable architecture supports millions of documents and thousands of concurrent users across on-premises, private, or FedRAMP-compliant government clouds.
ROI
AI-driven automation reduces manual indexing tasks, freeing experts for high-value activities, while providing immediate, structured data critical for rapid, informed decision-making.
Security
Feith is committed to delivering zero‑hallucination, zero‑data‑leak AI. Every new capability stays in our controlled validation pipeline until it meets the criteria for use with federal data. Each release is then benchmarked against guidance from the U.S. Chief Data and AI Officer Council and other leading governance bodies.
Business Process Automation & Workflow Integration
Most automation tools promise to simplify work, but they still leave people handling a lot of manual steps. Typically, someone needs to open incoming documents, read through them, identify key details (like dates, amounts, or important terms), and manually enter that information before any automation can actually take place.
Feith’s AI Indexer solves this by reading and understanding documents the moment they’re received. It instantly pulls out important details, the metadata, and feeds them directly into your system, completely removing manual work and delays.
Once Feith captures this information, it can automatically kick off workflows based on specific details. For instance, imagine a contract is uploaded with a termination date that’s just 30 days away. Feith immediately notices this date, triggers a “Contract Renewal Workflow,” and alerts the right people on your contract management team, or even escalates tasks to certain departments if the contract value meets specific thresholds. All of this happens automatically, without any human intervention needed.
Dashboarding
A major advantage of Feith’s AI-driven approach is how easy it becomes to build powerful dashboards. Feith’s built-in dashboard creator takes the newly extracted metadata and translates it into visual representations (e.g., bar charts, pie charts, timelines, and more) that give you a real-time overview of exactly what’s happening across your entire repository.
Unlike traditional dashboards, which only show you data from files that someone had time to index, Feith’s AI ensures that all your documents are indexed automatically. That means the dashboards you create reflect the full scope of your content—every relevant piece of information is included and searchable. In Feith, you simply choose which metadata fields you’d like analyzed and the system generates an interactive visual.
For example, consider the “Mandatory Training Deadlines” use case. After extracting each employee’s training completion dates, Feith can create a dashboard that shows:
- How many employees are fully up to date
- How many are overdue
- How many have upcoming deadlines
You can drill down into any of these sections to see specific employees and take action, like sending reminders, directly from the dashboard. Because the AI continuously updates the metadata as new documents come in, your dashboards stay accurate in real time.
Use Cases for Government & Enterprise
FOIA & Records Management
Challenge:
Processing hundreds or thousands of Freedom of Information Act (FOIA) requests, identifying and redacting personal or sensitive information.
Solution:
Feith’s AI Auto-Indexer automatically locates personally identifiable information (PII), determines classification levels, and flags sensitive text for redaction. Workflows then route documents to compliance officers for expedited review, drastically reducing response times and manual labor.
File Lifecycle Management
Challenge:
Government agencies and enterprises have sprawling libraries of vendor or contractor agreements that need accurate metadata for compliance, audits, and renewals.
Solution:
The system extracts key terms (e.g., contract start/end dates, vendor names, deliverable requirements) and populates a central contract repository. Workflows generate auto-reminders for upcoming renewals, trigger risk assessments based on contract value, and ensure visibility into contract statuses.
Legal Discovery (eDiscovery)
Challenge:
Enterprises involved in litigation need to locate and produce specific documents (emails, contracts, memos) that match discovery requests.
Solution:
Feith’s solution classifies documents by case relevance, extracts key details (like date ranges, custodians, or keyword mentions), and organizes them for production. Automated tagging and advanced search filters accelerate legal workflows and reduce attorney review time.
Accounts Payable
Challenge:
High‑volume invoicing means capturing PO numbers, totals, due dates, and vendor IDs from many formats—including scanned PDFs/images—data that usually demands manual entry.
Solution:
Feith’s NLP with built‑in OCR extracts and indexes those fields, even from scans, then syncs them to ERP systems (SAP, Oracle) to update payment schedules. Automated workflows accelerate approvals, block duplicates/fraud, and keep every invoice searchable and actionable.
Responsible AI
Feith built its AI stack on three principles—verifiable outputs, zero data leakage, and continuous governance—because large organizations cannot afford guesswork or security gaps. It never calls external APIs, never trains on customer content without written consent, and encrypts all traffic in transit and at rest. Role‑based access controls, MFA, and immutable audit logs ensure that only cleared personnel (or the agency’s own administrators) can view, retrain, or redeploy models. For federal deployments, every model that touches agency data is hosted inside a FedRAMP‑authorized, IL‑level enclave.