Enterprise AI automation company · SECP registered

AI that turns documents into decisions.

DeeperDoc designs, builds and deploys custom AI automation for insurers, banks, real estate firms and operations teams around the world. We automate WhatsApp-to-ERP insurance claims and extract bank statements with 99%+ accuracy in under a second.

Now automatinginsurance claims
DeeperDoc AI EngineDEMO
WHATSAPP → CLAIMS WORKSPACE

A message becomes a claim.

Private
01 / Documents received
Statement_Jan.pdfScanned PDF · page 1 of 1PDF
BANK STATEMENT
Opening balance OMR 4,250.00
Date / DescriptionAmount
  • 03 JanOffice supplies−180.00
  • 05 JanClient payment+2,450.00
  • 09 JanUtilities−64.20
  • 14 JanOffice rent−1,200.00
Closing balance OMR 5,255.80
Ground_floor.pdfArchitectural drawing · A-101
Architectural analysis software identifying rooms, dimensions and quantities
14 rooms identified
02 / Claim workspace
Motor claimQC-24817 · Qatar
Created
  • PolicyPOL-2026-0842
  • Vehicle48217 · Motor
  • Documents3 / 3 verified
  • Claim IDQC-24817
  • GarageDoha Service Centre
  • ERP syncRecord saved
✓
Claim ready for reviewTicket sent on WhatsApp
  1. Receive
  2. Verify
  3. Create
  4. Sync
Claim created and synced4 / 4 steps
Illustrative workflow · sample data
99%+ accuracy
< 1 sec per page
On-premise ready
0%+Extraction accuracy on bank statements
<0 minFrom WhatsApp claim to ERP
0+Bank statement formats supported
0+Production AI solutions delivered
0+Countries served, from Qatar to the USA
  • Insurance
  • Banking & Finance
  • Real Estate
  • Construction
  • Healthcare
  • Retail & FMCG
  • Logistics
  • Fisheries & Food
  • Research & Academia
  • Transport & Licensing
  • Accounting
  • Sports & Events

01 What we build

AI automation services for businesses that run on documents and data.

From the first upload to the final system update, we handle the whole process: AI that reads, understands, verifies and acts, connected to the tools your team already uses.

Invoice fields detected and converted to verified structured data
WORKSPACE PREVIEW
01

Intelligent Document Processing

Your documents read as carefully as your best analyst would read them, at machine speed. Statements, invoices, claims, IDs, contracts and research papers become clean, structured data.

  • Bank statements
  • Invoices & receipts
  • IDs & licences
WhatsApp documents verified and converted into an insurance claim
WORKSPACE PREVIEW
02

Insurance & Claims Automation

Claims intake on WhatsApp, automatic document verification, instant claim creation, garage assignment and ERP sync. Claims that took hours now take under a minute.

  • Motor claims
  • FNOL
  • Policy documents
Bank statement PDF converted into a reconciled transaction table
WORKSPACE PREVIEW
03

Financial Document AI

Bank statement and financial document extraction for lending, underwriting, KYC and audit, with 99%+ accuracy and full on-premise privacy.

  • Underwriting
  • KYC / AML
  • Audit
Computer vision detecting and measuring packages on a conveyor
WORKSPACE PREVIEW
04

Computer Vision & Video Analytics

Measure, count, inspect and monitor using the cameras you already have. Applications include production lines, retail shelves, test tracks and hospital devices.

  • Measurement
  • Counting
  • Monitoring
Private chatbot answering a policy question with a source citation
WORKSPACE PREVIEW
05

Conversational AI & Knowledge Assistants

Private AI assistants that answer questions from your manuals, policies and data, for customers on WhatsApp and the web, or for your own staff.

  • Support bots
  • Internal search
  • WhatsApp AI
AI workflow connecting document extraction to ERP, CRM and dashboards
WORKSPACE PREVIEW
06

Workflow Automation & Integration

AI connected to your ERP, CRM, databases, Excel and dashboards, so results go straight into the systems your team already uses.

  • ERP / CRM
  • Databases
  • Dashboards

02 Flagship case studies

Real AI in production.
Hours of manual work, now done in seconds.

Three systems we built and deployed for insurance, finance and real estate clients, explained step by step from the user’s side.

Insurance · Qatar
AI insurance claims automation: customer uploads accident documents on WhatsApp and the claim is processed and synced to the ERP automatically
< 1minClaim created, synced and garage assigned
Flagship case studyInsuranceQatar

From a WhatsApp message to a fully processed claim, in under a minute.

Insurance Claims Automation: from WhatsApp to ERP in under a minute

A leading motor insurer in Qatar was processing every claim by hand. Staff opened attachments, retyped details into the ERP, called customers back and assigned garages one by one, which took hours for every claim. DeeperDoc replaced the whole process with an AI claims pipeline. The customer files the claim from their phone and the system does the rest.

  1. 1

    Customer starts on WhatsApp

    The policyholder messages the insurer’s WhatsApp assistant and chooses “Claim”. No app downloads, no forms, no branch visit.

  2. 2

    Three documents, one conversation

    The assistant asks for the Accident Police Report, the Istimara (vehicle registration card) and the Driving Licence. The customer sends each one as a photo or PDF.

  3. 3

    AI reads and cross-verifies

    Names, ID numbers, plate and chassis numbers, policy details and the accident date and location are extracted and checked against each other. Blurry or missing pages trigger an instant request for a clearer copy.

  4. 4

    Claim generated automatically

    A complete claim record is created with every field filled in. Nobody types anything.

  5. 5

    Support ticket sent instantly

    The customer receives a ticket number and confirmation on WhatsApp straight away, so there are no follow-up calls.

  6. 6

    ERP updated and garage assigned

    The claim is written into the insurer’s ERP and an approved garage is assigned automatically. A live analytics dashboard tracks volumes and confidence scores.

< 1minClaim created, synced and garage assigned
3docsRead and cross-verified automatically
0Manual data entry
24/7Claim intake on WhatsApp
Before

Hours of manual work per claim: opening attachments, retyping data, calling customers and assigning garages by hand.

With DeeperDoc

One WhatsApp conversation. The claim, support ticket, ERP entry and garage assignment are all done in under a minute.

Build something like this
Banking & Insurance · Oman
AI bank statement extraction engine automatically detecting the bank format and converting a PDF statement into structured transaction dataConcept visual
99%+Field-level extraction accuracy
Flagship case studyBanking & InsuranceOman

Upload a bank statement. Get every transaction back in under a second.

Bank Statement Extraction: 99%+ accuracy in under a second

An insurance and finance company in Oman assesses customers using their bank statements. Analysts were spending hours retyping transactions from dozens of different bank layouts. Now they upload the statement, and every transaction is extracted, checked and saved before they have finished reading the first page.

  1. 1

    Upload any statement

    Drop in a digital or scanned PDF from any supported bank. A single page or hundreds of pages work the same way.

  2. 2

    Bank and layout recognised

    The system identifies the bank and its statement format automatically. It already covers more than 30 bank formats, and new banks are added on request.

  3. 3

    Every transaction extracted

    Date, description, debit, credit and running balance are captured for every row, along with the account holder, account number and statement period.

  4. 4

    Balances reconciled

    Opening and closing balances are checked against the extracted transactions, so any error is caught before anyone relies on the data.

  5. 5

    Instant Excel and database entry

    The results download as Excel, CSV or JSON and are saved directly into the database, with a visual dashboard summarising cash flow.

99%+Field-level extraction accuracy
< 1secPer statement page
30+Bank formats supported
100%On-premise: data never leaves your servers
Before

Analysts retyped every transaction by hand, and every bank had a different layout and its own errors.

With DeeperDoc

The statement is uploaded once. Clean, reconciled data lands in Excel and the database within a second per page.

Ideal for
  • Loan & credit underwriting
  • Insurance premium financing
  • KYC & AML checks
  • Income verification
  • Audit & accounting
Build something like this
Real Estate & Construction · Property intelligence
AI real estate document automation extracting building features from architectural floor plans to generate a construction cost estimateConcept visual
Days→ minEstimate turnaround
Flagship case studyReal Estate & ConstructionProperty intelligence

Architectural drawings in. Every feature measured and estimated automatically.

Real Estate Document Automation: architectural drawings to cost estimates

Estimators at a real estate and construction business were measuring architectural drawings by hand to price every project, which took days of take-off work per bid. DeeperDoc built an AI that reads the drawings, extracts every building feature and turns it into an estimate the team only needs to review.

  1. 1

    Upload the drawings

    Floor plans, elevations and architectural diagrams go in as PDFs or images, one floor or a whole building at a time.

  2. 2

    AI understands the plan

    Rooms, walls, doors, windows, stairs, openings, labels and dimensions are recognised the way an experienced estimator reads a drawing.

  3. 3

    Quantities calculated

    Room areas, total built-up area, wall lengths and opening counts are calculated per floor and per space type.

  4. 4

    Estimation generated

    The quantities flow through the business’s own costing rules to produce material and cost estimates automatically.

  5. 5

    Review and export

    Estimators check the visual overlays, adjust anything they need to, and export the full estimate to Excel and reports.

Days→ minEstimate turnaround
100%Of plan features captured for review
1clickExport to Excel and reports
0Manual take-off measuring
Before

Estimators measured each drawing by hand, spending days per project with results that varied from person to person.

With DeeperDoc

Drawings are analysed in minutes. Quantities and estimates are consistent, and the team spends its time reviewing instead of measuring.

Build something like this

03 Project portfolio

AI for every industry.
Proven in production.

Computer vision, document AI and generative AI systems used every day in fisheries, retail, healthcare, transport, research and finance. Open any project for the full story.

AI fish measurement app showing automatic length and width measurement of a fish with a detected scale reference Computer Vision
Fisheries & Food Processing

AI Fish Detection & Size Measurement

Every fish on a moving conveyor belt is detected, outlined and measured automatically. Length and width are captured in real time, with no ruler and no manual handling.

1000s of fish measured per hour
AI invoice automation extracting invoice number, vendor, date and amount from scanned invoices into a table for CSV export Document AI
Finance & Accounting

Invoice & Receipt Data Automation

Upload a stack of invoices or receipts, whether scanned, photographed or PDF, and get clean, editable spreadsheet rows back seconds later, ready for your accounting system.

30 min → sec per invoice
AI driving test monitoring on CCTV measuring live distance between the test vehicle and restricted kerb zones Computer Vision
Transport & Driver Licensing

Automated Driving Test Evaluation

Cameras watch the test track while the AI measures how close each vehicle comes to kerbs, lanes and obstacles, then produces an objective pass or fail result for every candidate.

Live distance to every boundary
AI retail shelf scanning app counting products by category: beverages, cereals, snacks and dairy Computer Vision
Retail & FMCG

Retail Shelf Counting & Product Recognition

Store staff point a phone at a shelf and see straight away how many products are there, broken down by category and SKU. No clipboards and no manual counting.

Seconds to count a full shelf
AI medical device monitoring reading infusion pump screens in real time and logging compound, rate and volume Healthcare AI
Healthcare & Hospitals

Medical Infusion Pump Monitoring

A camera reads infusion pump screens in real time and logs every reading automatically: compound, rate and volume. Nurses no longer have to chart them by hand.

0 manual pump readings
AI research paper extraction tool turning a scientific PDF into structured Excel columns for systematic review Document AI
Research & Academia

Research Paper Data Extraction

Researchers open a scientific paper, and the AI pulls methods, materials, quantities, DOIs and publication details into a structured spreadsheet, organised the way each study needs.

85% less data collection time
Private AI chatbot answering a company policy question with a cited handbook and highlighted source passage Generative AI
Customer Support & Knowledge Management

Private AI Knowledge Assistant

A custom AI chatbot that has read every manual, policy and document your company owns. It answers employee and customer questions instantly, and every answer is based on your own content.

24/7 answers from your own documents
AI barcode automation reading barcodes and QR codes from a multi-page PDF into a recognised barcodes table, with unreadable codes flagged for manual review Document AI
Logistics & Inventory

Barcode Capture & Categorisation Automation

Barcodes and QR codes are read automatically from images and multi-page PDFs, sorted into the right categories and exported for inventory. Any code that can’t be read is flagged for review.

0 manual scans
AI scoreboard extraction turning a queue of match scoreboard screenshots into an Excel table of player names, scores, kills, deaths and assists Document AI
Gaming, Sports & Events

Scoreboard Image to Excel Automation

Hundreds of scoreboard photos, including angled and low-quality ones, are converted into neatly aligned Excel sheets in a single batch run.

100s of images in minutes

04 How we deliver

From first call to production AI,
in weeks, not quarters.

Week 1

Discover

We map your workflow, documents, systems and the business result that matters most, then agree clear accuracy and speed targets.

Weeks 2–4

Prove on your data

A working proof of concept on your own real documents or video, so you see measured results before committing to a full build.

Weeks 4–8

Build & integrate

Production AI connected to your ERP, CRM, databases, WhatsApp or mobile apps, with review screens wherever people need control.

Ongoing

Deploy & support

Deployment on-premise or in the cloud, team training, monitoring and continuous improvement after launch.

05 Why DeeperDoc

One partner for the whole AI system, not just the model.

AI only creates value when it works inside your real operations. We engineer every layer, from how documents arrive to where results are stored, and stay accountable for the outcome.

Officially registered
DEEPERDOC (SMC-PRIVATE) LIMITED
Securities and Exchange Commission of Pakistan (SECP) logo
Regulator
SECP
CUIN
0316001
Incorporated
20 Nov 2025
Company type
SMC-Private

Measured accuracy

We agree on accuracy targets on your own documents before we build, then prove them. Our production bank statement engine runs above 99%.

Private by design

On-premise and private-cloud deployments keep sensitive financial, insurance and medical data inside your own infrastructure.

Speed you can feel

Claims processed in under a minute and statements extracted in under a second per page. We build for real business speed.

Built to integrate

WhatsApp, ERP, CRM, databases, Excel and dashboards. Results arrive where your team already works.

Direct founder access

You work directly with the people who design and build your system. No layers of account managers in between.

Global delivery

Remote-first delivery for clients in Qatar, Oman, the UAE, the United States and beyond, across every time zone.

06 The company

Global by design.
Trusted worldwide.

DeeperDoc is a global artificial intelligence company, officially registered with the Securities & Exchange Commission of Pakistan and serving clients worldwide. We help insurers, banks, real estate developers, hospitals, retailers and research teams replace slow manual work with dependable AI.

Our team has shipped production AI for clients in Qatar, Oman, the UAE and the United States. Our name describes how we work: we go deeper into your documents, data and workflows than generic AI tools can.

Serving clients worldwide Remote-first team SECP registered

07 Events

Good ideas start
with a conversation.

A glimpse of the communities and conversations we have been part of.

Community event

Freelancers Baithak 2.0

A gathering for freelancers, founders and digital professionals to connect, share ideas and celebrate Pakistan’s freelance community.

10 October 2026 IBA City Campus, KarachiOrganized by TechBaithak

08 FAQ

Questions clients
ask us first.

Can’t find your answer? Send us a message. A real engineer replies.

What does DeeperDoc do?

DeeperDoc is an AI automation company that designs, builds and deploys custom AI systems for businesses worldwide. We specialise in intelligent document processing (insurance claims, bank statements, invoices, architectural drawings and research papers), computer vision for cameras and video, and private AI assistants trained on your own knowledge.

Is DeeperDoc a registered company?

Yes. DEEPERDOC (SMC-PRIVATE) LIMITED is registered with the Securities & Exchange Commission of Pakistan (SECP), CUIN 0316001, incorporated on 20 November 2025. We serve clients worldwide, across the Middle East, Europe, North America and Asia.

How accurate is your document extraction?

Our production bank statement extractor achieves over 99% field-level accuracy across more than 30 bank formats, and processes each page in under a second. For every new project we agree accuracy targets on a sample of your own documents before building, so you know the expected performance up front.

Can the AI run on our own servers?

Yes. Many of our clients in insurance and finance run DeeperDoc solutions fully on-premise, so sensitive documents never leave their infrastructure. We also deliver cloud and hybrid deployments when that suits your business better.

Can you integrate with our ERP, CRM or database?

Yes. Our systems write results directly into ERPs, CRMs, databases, Excel and dashboards, and can receive documents from WhatsApp, email, web portals and mobile apps. In our insurance project, claims are created in the ERP and garages assigned automatically.

How long does a typical AI project take?

A focused proof of concept on your own data usually takes 2–4 weeks. A production rollout with integrations typically follows in a few more weeks, depending on scope. You see working results early and throughout.

How do we start?

Send a project inquiry or book a meeting using the form on this page. Choose a date, time and timezone that suits you, and our team will confirm by email with a meeting link. You can also reach us on WhatsApp at +92 336 3053088 or at contact@deeperdoc.com.

09 Start a project

Let’s put AI
to work for you.

Tell us which process slows your team down. We’ll come back to you with ideas, a plan and a realistic timeline. Or pick a time and talk to us directly.

Tell us about your project

Share some context and we’ll take it from there.

AI fish measurement app showing automatic length and width measurement of a fish with a detected scale reference

Computer Vision · Fisheries & Food Processing

AI Fish Detection & Size Measurement

Every fish on a moving conveyor belt is detected, outlined and measured automatically. Length and width are captured in real time, with no ruler and no manual handling.

The challenge

Processing plants measured fish by hand for grading and quality control. It was slow, inconsistent from one worker to the next, and could not keep up with line speed.

How it works

  1. A camera above the conveyor streams the production line continuously.
  2. The AI spots each fish as it enters the frame, even when fish overlap or arrive at odd angles.
  3. It traces the exact outline of each body and separates the fish from the belt, ice and shadows.
  4. Length and width are calculated against a calibrated scale reference and attached to that fish’s record.
  5. Each fish is tracked across frames so it is counted once, graded by size and logged in quality reports.

Results

Discuss a similar project
AI invoice automation extracting invoice number, vendor, date and amount from scanned invoices into a table for CSV export

Document AI · Finance & Accounting

Invoice & Receipt Data Automation

Upload a stack of invoices or receipts, whether scanned, photographed or PDF, and get clean, editable spreadsheet rows back seconds later, ready for your accounting system.

The challenge

Finance teams keyed invoice numbers, vendors, dates and totals in by hand. With checking and corrections, each invoice took about 30 minutes.

How it works

  1. Drag in a single invoice or an entire folder of mixed formats.
  2. The AI finds the invoice number, vendor, date, line items, tax and totals, whatever the layout.
  3. Each extracted field appears beside the original page with a verification tick, so staff can confirm it at a glance.
  4. Corrections are made directly in an editable table, with no retyping.
  5. One click exports a clean CSV that imports straight into the accounting system.

Results

Discuss a similar project
AI driving test monitoring on CCTV measuring live distance between the test vehicle and restricted kerb zones

Computer Vision · Transport & Driver Licensing

Automated Driving Test Evaluation

Cameras watch the test track while the AI measures how close each vehicle comes to kerbs, lanes and obstacles, then produces an objective pass or fail result for every candidate.

The challenge

Examiners judged distances and boundary violations by eye. Results varied between examiners, and when a result was disputed there was no evidence to check.

How it works

  1. Existing CCTV cameras around the test track send live video to the system.
  2. Restricted zones such as kerbs, lane markings and parking boxes are drawn once for each camera.
  3. The AI identifies the test vehicle and follows its exact position frame by frame.
  4. Live distance to every boundary and obstacle is measured and shown on screen.
  5. Configurable thresholds decide pass or fail automatically, and the whole session is recorded and logged as evidence.

Results

Discuss a similar project
AI retail shelf scanning app counting products by category: beverages, cereals, snacks and dairy

Computer Vision · Retail & FMCG

Retail Shelf Counting & Product Recognition

Store staff point a phone at a shelf and see straight away how many products are there, broken down by category and SKU. No clipboards and no manual counting.

The challenge

Retail teams counted shelf stock by hand. It was slow and error-prone, and it could never be done often enough to prevent out-of-stocks.

How it works

  1. A staff member opens the mobile app and photographs the shelf.
  2. The AI finds every individual product, even when items are tightly packed or partly hidden.
  3. Each product is recognised and assigned to its category or SKU.
  4. Total counts and per-category breakdowns appear on the phone within seconds.
  5. The results are sent to inventory and replenishment systems through an API.

Results

Discuss a similar project
AI medical device monitoring reading infusion pump screens in real time and logging compound, rate and volume

Healthcare AI · Healthcare & Hospitals

Medical Infusion Pump Monitoring

A camera reads infusion pump screens in real time and logs every reading automatically: compound, rate and volume. Nurses no longer have to chart them by hand.

The challenge

Nurses wrote down infusion pump readings by hand at set intervals. It took time, invited transcription mistakes and was hard to audit.

How it works

  1. A camera watches one or more infusion pumps at the bedside.
  2. The AI locates each pump display in the live video feed.
  3. The compound name, infusion rate, volume delivered and units are read from the screen in real time.
  4. Every reading is time-stamped and stored in a historical log on a monitoring dashboard.
  5. Records export to CSV for hospital systems and audits.

Results

Discuss a similar project
AI research paper extraction tool turning a scientific PDF into structured Excel columns for systematic review

Document AI · Research & Academia

Research Paper Data Extraction

Researchers open a scientific paper, and the AI pulls methods, materials, quantities, DOIs and publication details into a structured spreadsheet, organised the way each study needs.

The challenge

For systematic reviews and meta-analyses, researchers were copying hundreds of values field by field out of dense two-column academic PDFs.

How it works

  1. Open any research paper PDF in the desktop workspace.
  2. The AI reads complex academic layouts, including columns, tables, footnotes and references.
  3. Values are mapped to the researcher’s own columns: title, authors, DOI, publication date, methods, concentrations, durations and more.
  4. Researchers can zoom, sort, add or delete rows and columns, and resize the table while checking it against the original page.
  5. The full dataset exports to Excel or CSV in one batch.

Results

Discuss a similar project
Private AI chatbot answering a company policy question with a cited handbook and highlighted source passage

Generative AI · Customer Support & Knowledge Management

Private AI Knowledge Assistant

A custom AI chatbot that has read every manual, policy and document your company owns. It answers employee and customer questions instantly, and every answer is based on your own content.

The challenge

Staff and customers lost hours searching manuals, policies and shared drives, or waited on the support team for answers that already existed in company documents.

How it works

  1. Your manuals, policies, product sheets and FAQs are loaded securely into a private knowledge base.
  2. A user asks a question in plain language in a branded chat window.
  3. The assistant finds the most relevant passages across all of your documents.
  4. It writes a clear answer based only on your content, not on guesses from the internet.
  5. The service scales automatically with demand and is monitored in the cloud.

Results

Discuss a similar project
AI barcode automation reading barcodes and QR codes from a multi-page PDF into a recognised barcodes table, with unreadable codes flagged for manual review

Document AI · Logistics & Inventory

Barcode Capture & Categorisation Automation

Barcodes and QR codes are read automatically from images and multi-page PDFs, sorted into the right categories and exported for inventory. Any code that can’t be read is flagged for review.

The challenge

Warehouse and admin teams scanned barcodes one at a time from printed documents and photos, then typed them into spreadsheets.

How it works

  1. Upload photos, scans or multi-page PDFs in bulk.
  2. Each page is converted and cleaned up, which improves faded, skewed or low-quality codes.
  3. The system reads QR codes and all common retail and logistics barcode formats.
  4. Codes are categorised automatically into organised tables.
  5. Anything unrecognised goes into a separate review table, and everything exports to CSV for inventory.

Results

Discuss a similar project
AI scoreboard extraction turning a queue of match scoreboard screenshots into an Excel table of player names, scores, kills, deaths and assists

Document AI · Gaming, Sports & Events

Scoreboard Image to Excel Automation

Hundreds of scoreboard photos, including angled and low-quality ones, are converted into neatly aligned Excel sheets in a single batch run.

The challenge

Sports organisers transcribed scores by hand from photos of scoreboards whose columns and layouts changed from event to event.

How it works

  1. Select a folder containing hundreds of scoreboard images.
  2. The AI detects the table structure, even when column positions vary between boards.
  3. Names, scores and totals are read and aligned to the correct columns.
  4. Angled or poorly lit photos are corrected automatically.
  5. One clean, structured Excel file is produced for the whole batch.

Results

Discuss a similar project

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