No templates or lengthy training needed - Affinda learns instantly from every document and instruction. Build accurate AI models for any document type in minutes and remove the ongoing maintenance that slows traditional machine-learning approaches.
Affinda is the only AI document processing platform that instantly learns from every interaction and applies that knowledge to make human-like decisions through Retrieval-Augmented Generation. This means Affinda easily adapts to variations in documents, achieving over 99% accuracy in much less time and with fewer samples.
Affinda delivers ISO 27001:2022, SOC 2 and GDPR compliance with none of the friction that comes with legacy enterprise platforms. Strong security, clear pricing and flexible deployment mean you can adopt and scale confidently - without the usual complexity.

Find out why G2 users score Affinda 4.9/5
As the only IDP platform to apply agentic AI with persistent model memory, Affinda's platform ticks three key boxes: fast configuration, superior accuracy and the flexibility to extract data from any document in any format. That means you can create models to automate any document-heavy workflow in minutes, not months and integrate them with any business system.

Upload a document and Affinda will predict the information you want to extract, letting you automate document processing in just a few clicks.

Affinda automatically transforms data into a format your business system recognizes, ensuring extracted information is ready for downstream processing. Have a bespoke need? Use natural language to describe how you want the data to appear.

Write validation rules in natural language to apply your business logic to the data. This will ensure the output meets your organization’s requirements and enable straight-through processing.
Non-developers can create integrations with ease. Choose from 400+ downstream systems and describe how you want the integration to work, using natural language. Affinda’s AI agent will write custom code to connect to your downstream system.
Developers can easily connect Affinda with their systems using our client libraries. Automatically generate type-safe Pydantic models or TypeScript interfaces tailored to your needs.
Gain all the features from day one. With a free trial, discover how easy it is to extract any information from any document, fast.
Tungsten Automation is a comprehensive intelligent automation platform combining document capture (IDP), workflow orchestration, RPA, and process automation.
However, many businesses need more flexibility than a workflow-centred tool can provide. That is where Affinda stands out. Affinda extracts any information from any document, with industry-leading accuracy, and can be deployed in minutes, not months. With AI agents that handle classification, splitting, field detection and data transformation, Affinda delivers a faster, more flexible, and more accurate way to automate document workflows across the entire business - not just within predefined automation pipelines.
Tungsten Automation offers a broad automation stack that brings together IDP, RPA and workflow orchestration. This approach can deliver value, but it often requires significant configuration: workflows need to be designed, document types predefined and processes maintained over time. These systems work best when documents and business rules are static, which can limit flexibility as needs evolve.
Affinda is a speacialised IDP platofrm. It is built for speed, accuracy and adaptability, not heavy workflow dependence. Affinda processes any document in any format with industry-leading precision, learns instantly from every interaction and lets teams build extraction models in minutes, not months. Classification, splitting, field detection and data transformation are handled automatically by Affinda’s AI agents and model memory, reducing the need for manual setup or ongoing tuning.
The result is a simpler and more scalable way to automate document processing across the entire organisation, whether the documents are structured, semi-structured or completely unstructured. Instead of relying on rigid workflows, Affinda gives businesses a faster, more flexible and more accurate path to straight-through processing and broad automation coverage.
Tungsten Automation offers strong OCR and performs well on fixed, structured forms, but many implementations rely on templates and rules that take more effort to build and maintain when documents evolve.
Affinda is an AI-native document processing platform that delivers the highest accuracy on real-world, variable documents with far less setup. Its model memory learns instantly from every interaction and adapts quickly as layouts, fields and document types change, without templates or heavy configuration.
Tungsten Automation provides a powerful end-to-end automation platform, but deploying it typically involves defining workflows, mapping document streams, configuring processes, integrating systems, and potentially combining IDP, RPA, and orchestration pieces. For complex workflows this can extend roll-out time, especially when multiple departments or document types are involved.
Affinda takes a different approach - designed for speed and simplicity from day one. You can upload a document and begin automatic extraction almost immediately. There is no need to build elaborate workflows or configure orchestration flows to start seeing value. Its AI agents handle classification, splitting, field detection, and data transformation out of the box. This design means organizations can move from evaluation to production in days rather than weeks or months, even while planning to scale across multiple document workflows in the future.
Tungsten Automation blends document capture, process orchestration, and RPA into a unified platform. To use this effectively, organizations typically need to define business processes, map document flows, set up routing rules, configure validation steps, and integrate with existing backend systems. While powerful, this setup can be labour-intensive and require skilled configuration especially for complex or cross-department workflows.
Affinda minimises setup overhead. There is no requirement for large labelled datasets, rule definitions, or predefined workflows. Instead, users upload documents, define what they need extracted, and let Affinda's AI agents and model memory handle the rest. As the system is used, it learns from real interactions and improves automatically, reducing the need for ongoing manual tuning. For organizations seeking to automate document extraction quickly - and expand later into diverse workflows - Affinda offers a simpler, more maintainable path compared with a workflow-centric automation platform like Tungsten.
Tungsten Automation supports a broad range of document and workflow types. Their platform's strength is in linking captured data to business processes and orchestrated workflows.
Yet because Tungsten's architecture is geared toward workflow orchestration, there is often an assumption that incoming documents fit into known streams and that extraction will feed downstream processes. That works well for repeatable processes - but may be limiting for organizations with less structured or more varied documentation needs.
Affinda supports all the common document types Tungsten targets - such as invoices, purchase orders, receipts, shipping and logistics documents, claims forms, onboarding paperwork, financial statements and more - and extends far beyond into unstructured, mixed-content, and non-standard documents. Affinda can process any document in any format, including PDFs, scanned images, handwritten forms, free-form text documents, nested tables, multi-page files, and document bundles. Its AI agents read text, understand context and layout, and extract information without relying on rigid templates.
Common document types our customers use Affinda for include:
Because Affinda learns instantly from every interaction, it adapts quickly to new document types without heavy configuration or retraining. This makes it suitable for organizations seeking one platform to automate virtually any document workflow - not only the structured processes that fit a workflow-first automation tool.
Tungsten Automation is promoted as a comprehensive automation platform able to ingest and process content-heavy workflows. Its IDP and capture modules support structured and semi-structured forms, and when workflows are well-defined, the orchestration and RPA components can manage the rest. Still, achieving reliable performance often depends on correct configuration of workflows, field definitions and expected document patterns.
When documents deviate from standard templates - for example, unconventional layouts, mixed content, variable fields, scanned handwritten forms or irregular bundles - maintaining accuracy may require additional testing, customisation or human oversight to ensure extraction remains reliable.
Affinda's architecture is designed to handle unpredictable layouts with minimal intervention. Its AI agents understand document structure, reading order, context, and spatial cues, enabling extraction even on documents with unstructured or non-standard formats. Affinda's model memory learns from each interaction without lengthy retraining cycles, so the system adapts quickly when new formats are introduced. This gives teams a more scalable and future-proof solution when business workflows evolve or documents come from varied sources - beyond what a workflow-centric platform might support reliably.
Organizations using Tungsten Automation often rely on its unified automation stack combining document capture, workflow orchestration, RPA and backend integration. Migration away from such a centralized system can seem complex, particularly if businesses have built many custom workflows and integrations over time.
Affinda is built to simplify that transition. It integrates via APIs and standard connectors, accepts standard document formats, and outputs structured data in formats your existing systems recognise. You can upload your existing document sets and start automating extraction in minutes, without rebuilding entire workflow orchestration or RPA configurations. With transparent onboarding and AI agents that learn instantly from every interaction, Affinda provides a smooth path to transition from Tungsten Automation, while offering greater flexibility and broader document coverage from a single, document-first platform.
Tungsten Automation is commonly used for large enterprise use cases where document capture, process orchestration and integration are required - such as accounts payable, claims processing, supply chain, healthcare intake, and customer onboarding. Yet many organizations also need to automate document workflows beyond what is easily expressed as rigid business processes - for example compliance reports, mixed-format regulatory documentation, HR paperwork, loan applications, KYC/AML, logistics documents, unstructured correspondence, technical reports, or cross-department document intake. These kinds of workflows often fall outside the predictable flows that workflow-first tools handle well.
Affinda is a strong alternative to Tungsten Automation when organizations want a flexible, document-agnostic AI platform that can support both structured workflows and broader business needs - without requiring heavy customisation. Its ability to extract any information from any document, learn instantly from every interaction, and handle complex or unstructured content makes it well suited for a wide variety of use cases.
Common use cases where organizations choose Affinda include:
In these scenarios, Affinda provides faster setup, higher accuracy and far less configuration overhead than a workflow-centric automation platform like Tungsten Automation, giving teams a scalable and reliable path to automating document processing across their entire business.
Affinda is well suited for large enterprises and regulated industries that require strong governance and high-accuracy automation across diverse document workflows. With enterprise-grade security, flexible deployment options and a platform that supports structured, semi-structured and unstructured documents, Affinda offers enterprise trust without enterprise friction. organizations can adopt AI document processing at scale while benefiting from a more flexible, document-agnostic foundation that adapts as business needs evolve.
Affinda's pricing model is designed for transparency and scalability. With a clear consumption-based model you only pay for what you use, without complex package structures or hidden add-on costs. Because Affinda can be set up in minutes, not months, and requires minimal configuration and maintenance - even as document types diversify - organizations avoid many of the indirect costs associated with long implementation projects, repeated tuning cycles or workflow redesigns. For teams looking to scale document automation broadly and cost-effectively across the business, Affinda offers a simpler and more predictable total cost of ownership compared with a workflow-centric platform like Tungsten Automation.
Yes. Affinda offers enterprise-grade security. The platform is ISO 27001:2022 certified, SOC 2 compliant and adheres to global data privacy principles, including GDPR. These standards ensure that customer data is protected with the level of rigor expected by large enterprises and regulated industries.
Affinda is designed to keep your documents secure while removing the friction that often comes with enterprise tools. With strong security controls, flexible deployment options and a clear approach to data handling, organizations can adopt AI document processing with confidence.
Yes. Affinda offers a free trial for teams evaluating alternatives to Tungsten Automation. You can upload your own documents, test extraction quality and explore the platform for 14 days with no commitment. The trial includes full access to all features and lets you process up to 200 pages at no cost.
Because Affinda builds accurate models in minutes, you can see real results quickly and understand exactly how the platform performs on your workflows before moving to production. This makes it easy to validate accuracy, speed and ease of use as you compare options.