Join The Adlib Team

No global movement happens in a silo: there’s a village behind every idea and innovation. At Adlib, we know we’re better together. We win together. We lose together. We work hard and take risks. We slug it out at the forefront of enterprise data, pushing the limits of what’s possible. But we don’t take ourselves too seriously either.

When the day’s done, we like to have fun. We are committed to fostering an environment of collaboration and inclusivity for our great team. In living our values every day, our team comes together to demonstrate passion, purpose, and a camaraderie to contribute to the growth of the organization.

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BETTER TOGETHER | BE EXCEPTIONAL | PLAY TO WIN

View and apply to the open positions below

Frequently asked questions

Does Adlib have Optical Character Recognition (OCR)?

Yes. Adlib includes enterprise-grade OCR applied across the entire document (text,graphs, images, and CAD drawings) producing fully searchable, machine-readable content suitable for AI, BI, BPA, and RPA platforms.

Does Adlib require the original software for rendering to PDF?

No. The Adlib platform does not require native applications (like CAD tools or legacy editors). It handles complex formats and converts them into searchable PDFs or other standard formats that are easy to manage, analyze, and archive.

How does Adlib fit into my existing tech stack and document workflows?

Adlib is designed as an agentic document intelligence layer that connects upstream sources (mailboxes, shared drives, scanners, line-of-business systems) to downstream platforms like ECM, PLM, RIM, QMS, MES, ERP, case systems, data lakes, and AI tools. It integrates via REST APIs, connectors, MCP support, and n8n workflows, so you can automate ingest → convert → extract → validate → assemble → deliver without disrupting existing applications.

How does Adlib handle complex formats such as CAD and engineering drawings?

Adlib converts CAD files like DWG while preserving layers and key design information from applications such as AutoCAD and SolidWorks, maintaining visual fidelity and technical integrity.

What are PrecisionPath industry solutions?

PrecisionPath industry solutions (or PrecisionPaths) are ready-to-deploy accuracy frameworks for regulated industries. Each kit bundles pre-configured extraction models, use-case-specific prompts and settings, validated demo environments, and integration starters for platforms like ENOVIA, CARA, Honeywell, and Guidewire, helping youstand up AI-ready document pipelines in days, not months.

What are document automation rules?

Document automation rules let you define how documents are ingested, processed, and rendered. For example, you can ingest only documents from a specific department or with certain metadata, and then apply formatting, security, or assembly logic based on document type or metadata.

What are the main features of Adlib Transform?

Adlib Transform is the AI-enabled document workflow automation platform that turns messy, unstructured documents into accurate, compliant, AI-ready data at scale, that supports:

  • 300+ file types – PDFs, Office, images, emails, CAD and legacy formats in one platform.
  • Pixel-perfect, compliance-ready output – preserves layouts, layers, vectors, bookmarks, TOCs, etc., suitable as “documents of record” (often PDF/A).
  • Advanced image cleanup & OCR – multi-engine OCR, deskew, despeckle, and adaptive logic to recover even poor-quality scans.
  • Assembly & post-processing – automate merging/splitting, watermarking, digital signatures, and PDF/A compliance instead of doing it manually.
  • Intelligent classification – automatically recognizes document types (e.g., invoices, contracts, batch records, CAD packages).
  • Granular data extraction – pulls out fields, clauses, tables, IDs, and other structured data from unstructured content.
  • Human-in-the-loop validation – confidence thresholds and anomaly detection route only uncertain cases to a simple review UI.
  • Bring-your-own LLM – works with GPT-class models, Gemini, Anthropic, or private/on-prem models via Adlib AiLink.
  • RAG-ready content – chunking and embeddings optimized for vector databases to improve LLM accuracy and search quality.
  • Data sovereignty & vendor choice – you decide where models live and how data is processed; no lock-in.
  • Visual workflow builder – drag-and-drop configuration of multi-step document workflows (ingest → convert → extract → validate → assemble → deliver).
  • Business-user friendly – no data scientists required; ops and line-of-business teams can configure prompts, rules, and routing.
  • End-to-end orchestration – design, test, and deploy workflows that align with complex business rules across departments.
  • APIs & connectors into ECM (OpenText, FileNet), PLM (Dassault, PTC), email, RPA tools, and more.
  • Designed as middleware, sitting in front of QMS, DMS, MES, ERP, RIM, and AI systems to normalize, enrich, and hand off content.
  • Audit trails – every processing step is logged for ISO, FDA, SEC, and other regulatory audits.
  • Built-in redaction & watermarking – protect sensitive data and preserve chain-of-custody automatically.
  • Security certifications – SOC 2, HIPAA and FIPS-aligned practices.
  • Submission validation – checks formats, required fields, and policy rules before content leaves your environment.
  • Enterprise-grade throughput – from thousands to millions of pages per day with consistent performance.
  • Containerized auto-scaling – Kubernetes/Docker-friendly, scaling up for bursts and down for cost efficiency.
  • Region-specific deployments – helps meet local data residency and regulatory obligations.
  • Adlib Accuracy (Trust) Score & multi-LLM voting – compares outputs from multiple LLMs, calculates a hybrid confidence score, and selects the most reliable result.
  • AI Chat with Documents (RAG) – “chat with” your own documents and get cited answers, grounded in your content.
  • n8n workflow integration – low-code orchestration between Transform and other systems.
  • Model Context Protocol (MCP) support – lets Transform act as a document-intelligence agent inside broader AI ecosystems.
  • AI-based redaction – uses LLMs to automatically identify and mask PII/sensitive data.
  • What file types does Adlib support?

    Adlib PDF converts over 300+ file types including Visio, CAD, TIFF and various other current and legacy formats. You could render both CAD and Visio and merge them into a single document.

    What is Advanced Rendering?

    Advanced Rendering uses Adlib’s no-code, rules-based module to build complex document automations. You can split large files, merge multiple formats, auto-generate tables of contents, add bookmarks and watermarks, validate links, standardize fonts, and even build tables from metadata, producing archive-ready documents of record aligned with regulatory requirements.

    What is the Adlib Accuracy Score and how does it work?

    Adlib Accuracy Score (sometimes called Adlib Trust Score) is a proprietary measure of document reliability introduced in Transform 2025.2. It uses multi-LLM voting, hybrid confidence scoring, and layered validation signals to evaluate extracted data and select the most trustworthy result, which can then drive routing, gating, or human-in-the-loop review. This gives AI teams a numeric, auditable way to decide which documents are safe to feed into GenAI and which need additional scrutiny.