Turn documents into instant, integration for cited answers.

Extraction pipelines + semantic knowledge search, in production.

We build AI that reads, extracts, and understands your documents — then lets your team ask questions in plain language and get answers with the source, right inside the tools they already use.

AI Document Processing & Knowledge Search

AI Document Processing and search dashboard screenshot-1276x681
Document Types Parsed
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From Upload to Answer
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Every Answer Sourced & Cited
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ISO Certified Security
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The Problem

Your knowledge exists. Your team just can't reach it.

Documents pile up faster than anyone can read them, and the answers your team needs are locked inside files no one can search.

Knowledge is buried

Answers live in PDFs, wikis, tickets, and email — nobody can find them fast.

Manual data entry

Teams retype invoices, forms, and records by hand. Slow, costly, error-prone.

Keyword search fails

Ctrl+F and legacy search miss anything not worded exactly right.

No source of truth

Two people get two answers. Neither can prove which is correct.

Capabilities

What we build. From raw files to answers .

Two connected systems — a document processing pipeline that structures your files, and a knowledge search layer that makes them instantly answerable.

Document Extraction

Pull structured data from invoices, contracts, forms, and records — OCR + LLM parsing that reads even messy scans.

Auto-Classification

Every incoming document is identified, tagged, and filed automatically — no manual sorting.

Semantic Knowledge Search

Ask questions in plain language across your entire document base and get answers, not just links.

Summarization & Q&A

Long contracts and reports distilled into the answer you need — with the exact clause it came from.

Extraction Pipelines

End-to-end pipelines that ingest, process, validate, and route documents into your existing systems.

Knowledge Assistants

A chat assistant grounded in your knowledge base — answering staff and customers with your own content.

How it works

From inbox to answer,
in one pipeline.

Every document that enters your business runs a controlled path — parsed, structured, indexed, and made answerable — with validation at each step.

01

Ingest

Documents flow in — upload, email, API, or a watched folder in your DMS.

02

Extract

OCR + LLM parse text, tables, and fields, even from scans and handwriting.

03

Structure

Data is classified, validated against your rules, and normalized.

04

Index

Content is embedded into a vector store for meaning-based retrieval.

Human review checkpoints and confidence thresholds guard every extraction.

Semantic search

It understands meaning, not just keywords.

A user asks “How long do I have to send something back?” — keyword search finds nothing because the contract says “return window.” Semantic search understands they mean the same thing.

Security & Trust

Built for sensitive documents.

Contracts, records, and financials demand more than a demo. Governance is engineered into the pipeline.

Your data stays yours

Documents are processed in your tenant or private cloud — never used to train public models.

PII detection & redaction

Sensitive fields identified and masked before anything reaches an external model.

Permissioned answers

Search respects your access controls — users only see what their role permits.

Full audit trail

Every query, answer, and source access logged and traceable.

On-prem option

Self-hosted models and vector stores where data cannot leave your infrastructure.

Source-grounded only

Answers are generated from your documents with citations — no hallucinated facts.

ISO 27001:2018 certified · HIPAA, SOC 2 & GDPR-aligned deployments
Where it earns its keep

Built for the teams buried in paperwork.

Legal

Contract review, clause search, obligation tracking

Finance

Invoice extraction, statement parsing, reconciliation

Healthcare

Records summarization, intake forms, prior-auth

HR & Ops

Policy Q&A, onboarding docs, SOP search

Insurance

Claims documents, policy lookup, form extraction

Support

Knowledge-base answers, ticket deflection

Real Estate

Lease abstraction, title docs, disclosures

Research

Literature search, report synthesis, citations

FAQ’s

Questions teams ask us.

What document types can you process?

PDFs (including scans), Word, Excel, images, emails, and more — 20+ formats. OCR handles scanned and even handwritten documents; LLM parsing extracts tables, fields, and line items.

Keyword search matches exact words. Semantic search understands meaning — so “how long to send something back” finds a clause about “return window.” Answers come with the exact source citation.

Answers are generated only from your documents and always cite the source. If the answer isn’t in your content, the system says so rather than inventing one.

Yes. It ingests from your DMS, drives, email, or APIs, and pushes structured data into your ERP, CRM, or database. Search embeds inside the tools your team already uses.

Processing runs in your tenant or private cloud, PII is detected and redacted before any external model call, answers respect your access controls, and everything is audit-logged. ISO 27001 certified.

Yes. For regulated data we deploy self-hosted models and vector stores on your infrastructure so documents never leave your environment.



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