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Document AI

Auditable Email Parsing for teams in a hurry

Parse inbound emails, attachments, and threads — extract entities, intents, and action items.

Overview

What AI Email Parsing Services looks like with us

From scoping call to go-live, our Email Parsing engagements are designed for teams that care about what actually ships. Security and privacy are built in: NDA-first, least-privilege IAM, EU or US data residency, VPC-isolated deployment options. Every engagement starts with a mutual NDA, a scoping conversation with a senior engineer, and a written proposal within one week. All work product, source code, and documentation is assigned to you on payment — no vendor lock-in, ever.

What we deliver
  • 01Accuracy benchmarks against labelled samples — we quote numbers, not vibes
  • 02Human-in-the-loop review workflow for low-confidence extractions
  • 03Structured outputs (JSON / CSV / database rows) with validation schemas
  • 04Audit trail: source document, extracted fields, confidence scores, reviewer edits
  • 05API or batch-mode delivery to match your pipeline
Use cases

How teams use this

01 / 03

Digitise paper workflows into searchable structured data

02 / 03

Feed a data warehouse from unstructured documents your team currently processes by hand

03 / 03

Extract structured data from invoices, contracts, or forms at scale

Stack we typically work across
ClaudeGPT-4oUnstructured.ioAWS TextractGoogle Document AIpdfminer
Trusted by teams worldwide

100+ companiesquietlyrunonsystemswebuilt.

PreCallAI
QCall.ai
Fareof
60db.ai
RevenueCaptain
FAQs

Common questions

What accuracy can I expect?

Accuracy depends heavily on document quality and field complexity. We baseline on a labelled sample of your real documents before quoting — typical ranges are 92-98% on structured fields, 85-95% on free-text fields.

How do we handle low-confidence extractions?

Every field has a confidence score. Below a threshold you set, extractions route to a human review queue before downstream processing.

How fast can we start?

Most engagements kick off within 5-10 business days of the first discovery call. Scoping takes 3-5 days; paperwork (MSA + SoW + NDA) runs in parallel.

Who owns the IP?

You do. All code, documentation, model weights, and deliverables are assigned to you on payment. Our master service agreement spells this out explicitly.

Client voices

Whatpeople who shipped with ussayafterwards.

01 / 04
Engineer Master Labs built our entire AI call center platform from scratch. Their STT model supporting 100+ languages transformed our business completely!
Tanya Schumann
CEO PreCallAI
02 / 04
The automation solutions from Engineer Master Labs helped us scale our revenue operations without hiring additional staff. Their lead generation automation is exceptional.
Moushami Ganguly
Founder RevenueCaptain
03 / 04
Their AI engineers delivered a robust call automation system that processes thousands of calls daily. The real-time STT capabilities are game-changing for our business.
Udit Goenka
CEO QCall.ai
04 / 04
Engineer Master Labs provided exceptional full-stack development services. Their team's expertise in both frontend and backend technologies delivered exactly what we needed.
Robert C.
CTO FareOf
Tanya Schumann
Moushami Ganguly
Udit Goenka
Robert C.
Development Team Lead
Sarah Johnson
Michael Chen
Lisa Rodriguez
David Thompson
Jennifer Park
Ahmed Hassan
Emma Williams
Free consultation

Telluswhatyouwanttoautomate.We'llreplyinonebusinessday.

Describe the problem, the constraint, the deadline. We'll send back a scoped plan and a senior engineer to kick it off — no sales theater.

Discovery call within 48 hours
Scoped proposal in one week
NDA-first, IP assigned to you
Dedicated Slack / Teams channel
Transparent weekly reporting
SOC 2 / GDPR / HIPAA-ready workflows
01 / 01replies in 24h
Schedule a free consultation
No sales pitch. A real engineer reads every message.