Multimodal processing
Document processing with Docling and PaddleOCR, vision, voice and multimodal DLP.
Solutions
From claims to underwriting, AI whose every decision can be justified
Insurers process huge volumes of documents, images and conversations. AI speeds them up, provided every recommendation is explainable and health data stays protected.
At a glance
- Multimodal processing
- Human in the loop
- Traceable decisions
- Controlled hosting
Your challenges
What AI must respect in your industry
01 - Sensitive data
Some lines of business handle health data or very personal information that requires stronger protection.
02 - Explainable decisions
A recommendation on a claim or an application must be explainable to the policyholder as well as to the regulator.
03 - Heterogeneous documents
Reports, photos, invoices and letters arrive in every format.
Our answer
What Navin brings
Human in the loop
The agent prepares, the claims handler decides: validation is required before any binding action.Traceable decisions
Data used, model, policy and validation are attached to every case.Controlled hosting
Local models for sensitive data, remote providers allowed by policy for the rest.
Use cases
Concrete use cases
Examples of use cases your teams can build on the platform.
01 - Claims pre-assessment
Reading documents, spotting missing items and summarizing for the claims handler.
02 - Underwriting assistance
Analysis of questionnaires and documents, flagging the points to check.
03 - Customer relations
Answers to common questions in writing or by voice, with handover to an adviser.
04 - Fraud checks
Flagging inconsistencies in files, for human review.
Let's talk about your use cases
An architect studies your constraints and the right topology with you.