Most operators drown in documents that a person has to read, interpret, and re-key: applications, filings, invoices, clinical records, research papers. Document AI does the reading. It ingests the file, classifies what it is, extracts the fields, structures the result, and routes it into the system that needs it, with every value traceable back to the exact place in the source it came from. A person reviews the exceptions instead of typing the routine. This is the capability we have shipped the most. 5.0★ on Clutch.
Every document that comes in gets read by a person, understood, and typed into a system by hand. It is slow, it is where the errors creep in, and the volume you can handle is capped by how many people you can put on it.
Assistive by design: the pipeline extracts and structures; a person reviews anything it flags before it lands.
PDFs, scans, emails, and forms come in from any channel. The pipeline identifies what each document is and separates the ones that need different handling.
It pulls the fields that matter, abstracts and citations, line items, codes, amounts, dates, and structures them into clean data, with every value tied back to its position in the source document.
Confident extractions flow straight into your ERP, CRM, or database. Low-confidence fields and exceptions land in a review queue for a person to confirm, and every action is logged.
Documents become structured records in minutes instead of hours of manual keying, each field traceable to its source, so your team scales volume without scaling headcount and keeps a human check exactly where it counts.
Production document AI across research, compliance, healthcare, and finance, with named US and international clients. Rated 5.0★ on Clutch.
Relevant builds: Formatr, which reads a research paper and reformats it to publication standards → · real-time Boolean search across SEC filings → · a hospital analytics pipeline that imports, cleans, and maps medicine-usage data → · a digital investment platform for a 25-year-old fund house →.
Insurance submissions, onboarding packets, and intake forms read and turned into structured records for your system of record.
Regulatory filings and legal documents made searchable and monitored, the way we built real-time SEC-filings search and alerts.
Line items, totals, and terms extracted and matched, ready to draft into your ERP with exceptions flagged.
Medical records, utilization data, and research papers cleaned, mapped, and structured, as in our hospital analytics and Formatr builds.
Accuracy depends on your documents, which is why we prove it on your real files during the audit before quoting a build. The pipeline scores its own confidence: high-confidence fields flow through, and anything below the threshold you set is flagged for a person to confirm. You decide where that line sits.
Yes, because every extracted value is traced back to the exact spot in the source document it came from. A reviewer can verify a field in one click instead of re-reading the whole file, and the trace is kept for audit.
It changes what they do. Instead of reading and keying every document, they review the exceptions the pipeline flags and handle the judgment calls. You process far more volume with the same team.
Into whatever you already run, your ERP, CRM, database, or analytics stack. We build the integration as part of the system and scope it during the discovery sprint.
We're a senior-led studio with a US office in North Carolina, 100% Upwork Job Success, 5.0★ on Clutch, and document AI live in production. You work directly with the senior-led team, founder included, with a 4–8 hour response time.
Book a 15-minute call. We'll pick the document workflow worth automating and prove the extraction on your real files.
Book your call →