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Adlib Software takes security and data privacy very seriously and follows industry best practices to ensure that customer data is protected. This includes encryption of data in transit and at rest, secure data centers, and regular security audits and assessments.Adlib Software is SOC 2 Type 2 and HIPAA certified.

Adlib improves GenAI output quality by ensuring models see clean, structured, contextualized inputs instead of noisy scans or inconsistent PDFs. It standardizes formats, preserves layout and metadata, performs granular extraction, and scores trust so only high-quality content feeds your LLMs. Combined with retrieval-augmented generation (RAG) and citations, this significantly reduces hallucinations because the model is grounded in validated, traceable documents.

Adlib includes an AI RAG module that encodes documents into vector embeddings, stores or exports them to your preferred vector database, and powers “AI Chat with Documents” experiences. Users can ask natural-language questions and get cited answers grounded in their own content, with Transform 2025.2 improving embedding quality, search relevance, and the chat UI. Adlib can also simply supply embeddings and normalized content into your existing RAG or copilot interface.

Most OCR or capture tools focus on “making documents readable.” Adlib focuses on making documents accurate, compliant, and AI-ready.

Adlib doesn’t just add a text layer; it converts 300+ file types (including CAD and legacy formats) into pixel-perfect, preservation-grade documents of record with tables of contents, bookmarks, hyperlinks, metadata, and audit trails. It layers on advanced image cleanup, multi-engine OCR, classification, extraction, and validation so every file is standardized, searchable, and defensible before it ever reaches your repositories or AI models.

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Many IDP tools focus on single use cases (like invoices) or specific document types. Adlib is designed as a document process automation layer for high-stakes, regulated industries, with full coverage from intake → convert → extract → validate → assemble → deliver.

Key differences:

• Accuracy as the North Star: Adlib positions itself as the AI Accuracy Authority, with Accuracy Score and validation workflows that cut exceptions by up to 60% and reduce manual handling by up to 70%.  
• Documents of record, not just extracted fields: It produces inspection- and archive-ready PDFs/PDF-A with layout, layers, and signatures preserved, suitable as legal or regulatory records.
• End-to-end orchestration: Visual workflow builder, human-in-the-loop validation, and integration into ECM, PLM, QMS, MES, ERP, and AI platforms make it a true backbone, not a point tool.
• Industry depth: Preconfigured flows and content for life sciences, energy, manufacturing, insurance, financial services, and public sector use cases.

Most enterprises see measurable ROI within the first year, often as early as 90 days for high-volume, regulated workflows such as regulatory submissions, claims processing, inspections, or FOI/ATI responses. Savings come from reduced manual handling, fewer resubmissions and audit findings, lower infrastructure and licensing costs, and faster time-to-approve.

Adlib Software’s Transform Platform is a document conversion and content intelligence platform that enables organizations to convert unstructured data into “documents of record” so they can manage compliance, operational, audit and regulatory risks. Adlib’s Transform Platform interoperates with content management systems to retrieve documents across multiple formats and implement business rules to create documents of record in PDF format and deliver them back to content management applications. This results in readable-searchable Enterprise Document Repositories that comprise “documents of record” and “critical data elements” that than can be extracted from such repositories.

Adlib solves the “last mile” problem between raw documents and trusted data. Most enterprises struggle with unstructured files scattered across email, shared drives, and legacy systems, creating compliance risk, manual rework, and failed AI projects. Adlib refines those documents into governed, validated, searchable, AI-ready records, reducing manual handling by up to 70% and cutting exception queues by as much as 60% in Transform 2025.2.

Adlib follows enterprise-grade security practices, including SOC 2, HIPAA, and FIPS-aligned controls, alongside SIEM logging, SAML/LDAP integration, and hardened container deployments. These safeguards help regulated customers align with internal infosec policies and external regulatory frameworks.