Skip to content
HashmarkLabs

Vertical AI for finance & risk

Grounded document review for underwriting and claims

Reviewers get a recommendation where every statement links back to the page it came from.

Status
● Live in production
Client
Private
Practice
Engineering
case file · many documentsSource-linked extractionevery fact → its pageCross-file reasoninggrounded in the evidenceRecommendationreviewableReviewer decidesa person signs offevery claim links back to its pageClient's own clouddeployed in their environment · scales for parallel reviews1Speed without losingthe audit traildocumentsreasoningdecisiona case

Swipe to see the whole drawing →

Discipline
Vertical AI for finance & risk
Client
Private
Figure
FIG. 8
FIG. 8: Review flow, simplified · ● live in production

The problem

Underwriting and claims reviews run across large, unstructured, multi-file records. Reviewers needed speed without losing traceability, and the final decision had to stay with a person.

What we built

3 parts
  1. A

    Source-linked extraction from multi-file records, so every fact carries a reference to its page.

  2. B

    Cross-document reasoning that produces a reviewable recommendation, with a person accountable for the decision.

  3. C

    Deployment into the client's own cloud environment, scaling for parallel workload spikes.

Stack

  • Multimodal LLMs
  • Grounded reasoning
  • Client-cloud deployment
  • Evaluation benchmark

Designed and built by our senior engineers. The architects you'd meet on a first call are the people who built this.

Client names stay private. Every system here is real and in production, and we're glad to walk you through the ones relevant to you on a call.

Office hours

Working on something similar?

Your first call is with a senior lead who will own the work. Send a few lines about the product and what's hard about it.

Your point of contact
Vidit Galav, Director
Delivery
Our team works across US, European, APAC and Middle East hours.