Mozaiq
Mortgage document processing
Five vendors bottlenecked loan processing. One AI platform now categorizes every document type, automating fulfillment at scale.
- Consolidation from 5 vendors to single AI platform
Privacy rules forced staff to rebuild decks from scratch. AI sandboxes now anonymize sensitive data, making past work safe to reuse.
A Japanese AI startup developing a B2B platform for financial institutions that process massive document volumes under strict data privacy regulations.
Financial institutions struggled with manual data extraction for loan approvals and could not share pitch decks due to privacy laws restricting...
“We chose Azure from day one because of its smooth integration with Azure OpenAI models through Azure AI Foundry.”
Expense management, invoice processing, and business workflow SaaS platform.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Five vendors bottlenecked loan processing. One AI platform now categorizes every document type, automating fulfillment at scale.
Reviewing dense filings stalled professionals. They now chat with multiple PDFs to spot specific clauses and build mind maps.
Basic PDF readers failed on messy scans. A new engine now turns complex bank reports into clean, structured tables for analysis.
Reviewing dense filings stalled professionals. They now chat with multiple PDFs to spot specific clauses and build mind maps.
Basic PDF readers failed on messy scans. A new engine now turns complex bank reports into clean, structured tables for analysis.
Advisors hunted data across five systems. GenAI now builds traceable meeting packs, saving 4,700 hours a year.
35M customers waited in queues for payment updates. Now, a voice agent resolves routine calls instantly, leaving complex issues to humans.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.