About

Kriyam AI Studio. Document AI, built in India.

Read, verify and protect documents across 10+ Indian languages and English. Extract structured information, detect document tampering and AI-generated content, verify identities, and mask sensitive information through a browser-based Studio or a single API.

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Overview

What is Kriyam AI Studio?

Kriyam AI Studio is an enterprise document AI platform that brings document intelligence, forensic verification, identity checks, data protection and workflow automation together in one place.

Teams can use individual capabilities independently or combine them to build end-to-end document workflows through a browser-based Studio or APIs.

Built by Geogo Techsolutions Private Limited in Bengaluru, India.

Document workflowkriyam · studio
  1. 01
    Document upload
  2. 02
    ExtractionKriyam DocWise
  3. 03
    Forensic verificationKriyam DocForensics
  4. 04
    Data maskingKriyam Mask
  5. 05
    Automated workflowKriyam Flow
Modules

The four modules

  • Kriyam DocWise

    Parses, classifies and extracts structured data from documents, including handwritten and mixed-script content across 10+ Indian languages and English. Every extracted value is traceable to its exact page and region.

    About Kriyam DocWise
  • Kriyam DocForensics v2

    Checks images, scans and PDFs for tampering, AI generation and identity fraud, and marks each flag on the page.

    About Kriyam DocForensics v2
  • Kriyam Mask

    Finds PII and PHI — including Aadhaar, PAN and other Indian IDs — and redacts, masks or tokenises it on every page.

    About Kriyam Mask
  • Kriyam Flow

    Compose Kriyam’s tools with your own via MCP, test on real documents, then deploy as a chat agent or API.

    About Kriyam Flow
Customers

Who is it for?

Banks, insurers, lenders, manufacturers and healthcare providers work with large volumes of critical documents. Their teams need to extract information, verify authenticity, protect sensitive data and make decisions they can explain to auditors and regulators.

Kriyam helps make these document-intensive workflows more accurate, auditable and efficient.

Document received agent · docforensics-v2
bank-statement.pdfPDF
Account statementPage 1 of 3
02 Sep · Salary+ 84,500.00
05 Sep · Rent− 22,000.00
11 Sep · Transfer+ 1,50,000.00
18 Sep · Card− 6,240.00
Closing balance2,61,860.00
Signed by issuer—
Running checks0 / 6
Format & structure
Metadata & producer
Font & glyph consistency
Hidden layers & revisions
Digital signature
Arithmetic checks
Trust score—/ 100 Awaiting score
threshold 80
Trust

Security and compliance

ISO/IEC 27001:2022 certified. Aligned with India's DPDP Act and GDPR. Deploy on Kriyam Cloud or within your own AWS or Databricks environment.

ISO/IEC 27001:2022

Certified information security management.

Aligned with DPDP & GDPR

Privacy by design for India and the world.

Technology partnershipsOfficial partners of AWS and Databricks
Research

Research

Kriyam Labs, Geogo's applied research group, published Kriyam TamperFlow, an open benchmark of 1,050 human-annotated document images for tampering detection under printing, scanning and re-uploading.

Kriyam TamperFlow: Benchmarking Document Tampering Detection under Realistic Document Processing PipelinesAvishek Jana¹ · Swati Kumari¹¹ Kriyam.ai Labs, GEOGO, IndiaAbstractAs Document AI systems increasingly automate document processing at scale across high-stakes industries, ensuring the integrity of every processed document is no longer feasible through human review alone. Even a single tampered field within a document can facilitate fraud, identity theft, or record manipulation before it is detected. In this paper, we introduce Kriyam TamperFlow, an open benchmark for evaluating document tampering detection under realistic document processing pipelines…zenodo.org/records/21972485Read paper →
DO IT YOURSELF

Bring us your hardest document. See what comes back.

Faded scans, mixed scripts, handwritten notes, a stamp over the total — drop it in the Studio and get cited fields, a forensic verdict and masked PII in seconds.