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Affinda

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About

Affinda is an intelligent document processing (IDP) platform that uses proprietary AI agents to automate document-heavy workflows. It transforms unstructured documents—such as invoices, resumes, and legal contracts—into structured data with high precision. By combining traditional machine learning with advanced "model memory" and agentic AI, the platform enables organizations to significantly reduce manual data entry and minimize human error across various sectors, including recruitment, insurance, and logistics. The tool is designed to serve as a core component of an organization's AI transformation strategy, turning documents into the backbone of automated decision-making. The platform’s functionality centers on "instant model learning," a feature that allows users to create custom extraction models using only a few sample documents. This eliminates the need for the massive datasets and lengthy training cycles typical of older machine learning approaches. Affinda supports a wide range of data extraction tasks, including handwriting recognition (OCR), checkbox detection, and signature identification. Once the data is captured, it can be passed through a "human-in-the-loop" review interface. This interface flags documents that fail predefined business rules, ensuring that users maintain control over data quality while the AI handles the bulk of the processing. For developers and IT teams, Affinda offers flexible integration options including a REST API, webhooks, and client libraries. It also features a "no-code Integration Agent" for users who prefer a more visual setup. The system is built for global scale, supporting over 50 languages and providing regional deployment options to meet strict data residency requirements. Enterprises can even opt for on-premise or private cloud deployments to maintain total control over their data environment. This flexibility, combined with a transparent consumption-based pricing model, allows businesses to start with small pilot programs and scale to processing millions of documents annually. What differentiates Affinda from standard Large Language Models (LLMs) or legacy OCR providers is its proprietary architecture. While LLMs are powerful, Affinda’s specialized model memory is designed specifically for the nuances of document structure and metadata, leading to 99%+ accuracy in production environments. The tool is backed by the Affinda Group, founded by experts in quantum physics and investment banking, ensuring the technology is both technically robust and aligned with complex business needs. This combination of speed, accuracy, and enterprise-grade security makes it a primary choice for high-stakes operations.

Pros & Cons

Achieves 99%+ accuracy in data and information extraction.

Supports over 50 languages for global document parsing needs.

Offers regional deployment and on-premise options for strict data sovereignty.

Instant learning technology allows models to be built from a single document.

HIPAA compliance support is restricted to the Enterprise tier.

Single Sign-On (SSO) is only available for Enterprise customers.

Priority support is not included in the entry-level Pay-as-you-go plan.

Use Cases

Recruitment specialists can automate resume parsing across multiple languages to build structured candidate databases instantly.

Accounts payable teams can process high volumes of invoices with 10x efficiency by automating data entry into ERP systems.

Logistics managers can automatically validate proof of delivery documents against existing records to reduce compliance errors.

Insurance providers can extract data from complex claims and forms to reduce turnaround times for customer settlements.

Legal departments can use signature and checkbox detection to audit high volumes of contracts and applications.

Platform
Web
Task
document processing

Features

intelligent document processing

rest api and webhooks

data residency controls

human-in-the-loop validation ui

document splitting and classification

signature detection

handwriting recognition (ocr)

instant model learning

FAQs

What kind of documents can Affinda process?

The platform can process any document type, including invoices, resumes, contracts, forms, and identity documents. It handles unstructured data, handwriting, and complex tables with high precision.

How many languages does the platform support?

Affinda supports over 50 languages, enabling global recruitment and logistics firms to parse documents from international sources with high accuracy. This includes support for various character sets and regional formats.

Does Affinda require large datasets to train new models?

No, the platform uses 'instant model learning' which allows users to build custom extraction models from just a few sample documents. It learns instantly from user interactions, eliminating the need for months of training.

Can the software be deployed on-site?

Yes, for organizations with high security or compliance requirements, Affinda offers on-premise deployment or dedicated private cloud environments. These options are available under the Enterprise pricing plan.

How does the 'Human in the Loop' feature work?

The platform includes a validation UI where the AI flags documents that fail specific business rules or fall below accuracy thresholds. Staff can then review and correct the data, and the AI learns from these corrections in real-time.

Pricing Plans

Pay as you go
USD0.20 / per page

14-day free trial

Custom document types

Document splitting

Instant model learning

Handwriting / OCR

Signature detection

No-code Integration Agent

REST API & Webhooks

Business
Unknown Price

Volume discounts

Priority support

Embeddable validation UI

Custom data retention policies

Data residency controls

Audit logs

Document processing queues

Enterprise
Unknown Price

HIPAA support

Single Sign-On (SSO)

On-premise deployment

Dedicated Customer Success Manager

Model optimization support

Tailored SLA guarantees

Private cloud options

Job Opportunities

Affinda favicon
Affinda

Affinda – Customer Success Lead

Automate complex document workflows and extract data with 99%+ accuracy using AI agents designed for enterprises in recruitment, logistics, and finance.

operationshybridMelbourne, AUfull-time

Benefits:

  • Flexible working arrangements

  • Develop deep expertise in agentic AI

  • Direct revenue impact

  • Well-capitalised, global business

  • Regular in-person collaboration

Experience Requirements:

  • 7+ years of post-sale experience in B2B SaaS

  • Experience in implementation, adoption, and renewals

  • Strong project delivery instincts

  • Commercial competence

  • Team leadership experience

Other Requirements:

  • Must be based in Melbourne, Australia

Responsibilities:

  • Drive implementation to at-scale production

  • Coordinate internal teams to remove blockers

  • Manage services delivery relationships

  • Manage renewals and drive renewal automation

  • Lead and improve the customer support function

Show more details

Draftable – Account Executive (EMEA)

Automate complex document workflows and extract data with 99%+ accuracy using AI agents designed for enterprises in recruitment, logistics, and finance.

Benefits:

  • On-target earnings: £120-150k

  • Uncapped commission with accelerators

  • Fully remote with flexible working arrangements

  • Join a product with real traction

  • No corporate bureaucracy

Experience Requirements:

  • 3+ years in B2B software sales

  • Track record of quota attainment in high growth company

  • Experience selling into regulated or complex industries

  • Technical aptitude to run product demos

  • Comfortable operating autonomously

Other Requirements:

  • Clear written and verbal communication

  • Habit of following through

Responsibilities:

  • Run full-cycle sales: prospecting to close

  • Convert inbound leads and build pipeline

  • Learn the product deeply enough to demo independently

  • Represent Draftable at industry events

  • Work closely with regional sales leader

Show more details

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