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Turn complex documents into trusted business data

Affinda is the document automation platform for complex documents and production workflows, reading, validating and routing trusted data into the systems you already run.

Try the platform for free

One platform. Six stages. End to end.

Most document tools stop at extraction. Affinda runs the full path from intake to validated data in your systems: reading, splitting, classifying, extracting, validating and integrating. Every stage configurable. Every result grounded.

  1. 01 Ingestion Pull documents from inboxes, portals and storage, no manual handoff.
  2. 02 Splitting Untangle bundled packs into the documents inside them.
  3. 03 Classification Identify each document type so the right rules apply.
  4. 04 Extraction Pull the fields you care about, with evidence on every value.
  5. 05 Validation Check every record against your business rules before it moves.
  6. 06 Integration Land decision-ready data in the systems you already use.

What changes when Affinda runs the workflow

The platform does not just read a file and hand work back to your team. It removes the painful work around the document: chasing missing pages, re-keying fields, checking rules too late and fixing the same exception again on the next file.

Before Affinda
  • Complex document packs arrive by email, portal or shared drive with pages out of order.
  • Ops teams split files, identify document types and copy data into spreadsheets or core systems.
  • Business rules are checked after the fact, so missing fields and mismatches create rework.
  • Every correction becomes tribal knowledge that has to be remembered on the next document.
With Affinda
  • Documents are ingested, split and classified automatically as part of one production workflow.
  • Fields are extracted with source evidence, then validated against your business rules before release.
  • Corrections are reused by the workflow, reducing repeat manual intervention on future documents.
  • Clean, decision-ready data lands in your LOS, ERP, TMS, ATS or product.

Configure the platform in a conversation

Every stage on the platform is configurable in plain language. Describe your documents, rules and destination systems to the Affinda Agent, and it proposes a working configuration. Every step is yours to inspect, adjust or reject before it takes effect.

01

You describe

Documents, rules and where the data goes. No schema spec, no training set.

02

The Agent proposes

Fields, validation logic, reviewer routes and integration endpoints, all surfaced as configuration you can edit.

03

You approve, then scale

Run on your samples first. When it works, it runs in production on the same platform.

Built for the documents that break everything else

Production document workflows are not just invoices and forms. They are handwritten notes, multi-page packs, messy tables, conflicting data and decisions that have to be auditable.

Understand messy document packets

Frontier models for text and layout, proprietary reading-order algorithms, OCR for scans and handwriting. Affinda handles the bundled packs, tables and edge cases that break template tools.

Extract fields with source evidence

Pull structured fields, preserve context and show the source behind every value. Corrections become reusable instructions for the workflow, so the platform applies the same lesson next time without retraining underlying models.

Apply business rules before data moves

Every record is checked against your rules before it reaches a downstream system. Pass, and it flows straight through. Fail, and it routes to a reviewer with the document attached.

Send clean data into every system

Affinda is the document intelligence layer, not a replacement for your systems. Connect via the Integration Agent (no code, 2,800+ business systems) or write directly against the API.

Every value, traceable to the document it came from

Affinda does not ask your team to trust a black box. Every extracted field links back to source evidence, corrections can be reused by the workflow, and every exception can be reviewed before it reaches production systems.

  • Evidence shown on every extracted field.
  • Corrections feed back as workflow instructions, not model retraining.
  • Audit trails for every review decision, surfaced to source.
Invoice total
Invoice total $12,480.00 Source highlighted on page 1

The production platform regulated teams trust

Putting document workflows into production means meeting the bar set by security, compliance and architecture teams. The same controls govern every workflow on Affinda Platform, whether the Agent configured it or a developer did.

  • Compliance and certifications

    • ISO 27001:2022 certified
    • SOC 2 and GDPR compliant
    • HIPAA-compliant deployment available
    • Annual third-party penetration tests
  • Data protection

    • Encrypted at rest and in transit
    • Multi-factor authentication for every user
    • Proactive monitoring with alerts on suspicious activity
  • Deployment options

    • Multi-tenant SaaS, single-tenant, customer VPC or self-hosted
    • Global AWS data centres across multiple regions
    • Embeddable APIs and SDKs for in-product placement
  • Human review controls

    • Built-in review UI, embeddable in your application
    • Exceptions route on failed validation rules, not low confidence
    • Corrections can be reused by the workflow; your data is not used to retrain underlying models

Ten years. One billion pages. Eight hundred teams.

1B+
pages processed
800+
customers
80+
countries
95%
reduction in manual processing
"Affinda has removed the laborious workload from our accounts staff, who now focus on quality assurance and management of any outliers."
Nathaniel BarrsCTO, PSC Insurance
All customer stories

Ready to build your first
production workflow?

Start where the platform starts: in the builder. Describe the documents you handle, test the Agent's proposed configuration and only scale once the workflow is right.

  1. 01 Open the app Start with the workflow builder, not a sales handoff.
  2. 02 Describe your workflow Tell the Agent what arrives, what to check and where clean data should land.
  3. 03 Test with samples Inspect the proposed configuration before you scale it into production.
  • Inspect every configuration step
  • Adjust or reject before it takes effect
  • Run on your sample before you commit