An insurance claim is rarely a single form. It is a bundle of photos, invoices, reports, policy documents, messages, and sometimes video or audio. Adjusters need a coherent evidence set, not disconnected extraction outputs. Taed provides a multimodal API layer that can organize this material into a consistent claims schema while preserving the path back to the source.
The operating problem
Why insurance teams need a better intelligence layer
Claims teams receive evidence through mobile apps, email, repair networks, brokers, and contact centres. Image quality varies, invoices use different layouts, and a single incident may involve several people or assets. When every artifact is reviewed independently, teams spend time finding basic facts, comparing duplicated information, and checking whether required evidence is missing before assessment can even begin.
The product approach
How Taed changes the workflow
Taed can classify each incoming artifact, extract structured details, associate evidence with the relevant claim, and return signals in a format the claims platform understands. A schema can represent parties, incident dates, asset details, invoice lines, visible damage categories, and missing-document indicators. The API does not make the policy decision; it creates a more complete and consistent evidence layer for the people and systems responsible for it.
Explore Taed APIsA practical four-stage workflow
- 01
Collect
Ingest claim forms, photos, repair estimates, invoices, reports, audio, and video.
- 02
Classify
Recognize artifact type and determine its role within the claim evidence set.
- 03
Correlate
Connect entities, dates, amounts, and visual observations across the submitted material.
- 04
Prepare
Return a structured summary and flag incomplete or contradictory evidence for review.
Governance should be part of the design
Visual observations should be presented as evidence with confidence and provenance, not as unexplained conclusions. Insurers should define which fields can flow automatically, which require adjuster confirmation, and how model versions are evaluated across claim types. Personal and medical information must follow the insurer’s security and retention controls.
A sensible place to start
Choose a claim segment with repeatable evidence requirements, such as motor damage or property repair. Build the schema around what an adjuster actually checks, then test it against normal, incomplete, and unusual submissions. Integrate the response into the existing claim workspace so intelligence removes searching and rekeying rather than creating another screen.
What a strong implementation should improve
- Faster evidence preparation before assessment
- Reduced manual rekeying across claim artifacts
- More consistent completeness checks
- Traceable links between summaries and source media
Frequently asked questions
Questions teams ask before they begin
Can Taed process images and documents in the same claim?
Yes. Taed is designed for multimodal workflows that can include documents, imagery, audio, and video.
Does visual intelligence replace the claims adjuster?
No. It structures and surfaces evidence so adjusters and governed decision systems can work with greater consistency.
Can the output match an existing claims platform?
The response schema can be designed around the fields and validation rules required by the downstream claims workflow.