
Compare Hundreds of Proposal Pages in 5 Minutes
2 hours, not 2 weeks, for IT system evaluation
Extract and summarize the essentials of business plans, RFPs, and technical documents, then auto-score them against your criteria. Evidence-based fact-checking and plagiarism detection included.

Dozens of investment proposals and technical documents pile up every day. Does it feel like you're skimming titles and moving on, with no time for real review?

"There are over 100 proposals. When will I ever read them all..."
"These technologies are so similar, an objective comparison is incredibly hard."
"What if I'm making a call without spotting a critical flaw?"
From extraction and verification to scoring and evidence, AI handles the repetitive review work. Your reviewers focus only on the final decision.
From extraction and verification to scoring and evidence, AI handles the repetitive review work. Your reviewers focus only on the final decision.
Automated Keyword Extraction & Summary

Cross-references historical databases (DBs) and patent documents to analyze plagiarism rates, and delivers alerts to help prevent duplicate investments.

Calculates quantitative and qualitative scores against your preset evaluation guidelines, analyzes positive and negative factors, and automatically generates a draft review report.
Highlights exactly which page and paragraph of the document each AI finding is based on, delivering results you can trust.
From customization tailored to your institution's or company's evaluation criteria to full system integration, our dedicated team supports you every step of the way.
STEP 01
1–2 weeksAnalyze each institution's evaluation process Confirm core evaluation metrics and guidelines
STEP 02
2–4 weeksConvert evaluation criteria into data and tune prompts Validate consistency through pilot testing
STEP 03
OngoingProvide admin and user training Go fully live and generate real-time reports
Most effective in finance, public sector, and legal — anywhere document review volume is heavy.
We follow a private-deployment principle: client data is never used to train external models. For financial and public institutions we support on-premises deployment, so documents never leave your network.

Run a pilot against your own evaluation criteria first. Decide on adoption after seeing the accuracy report.