GradeLab vs Double

GradeLab is an assessment platform built for schools, universities, coaching centers, and government exam bodies that need to grade handwritten and digital exams faster without giving up teacher control. Upload scanned answer sheets or run online tests, and the system applies your rubrics to score essays, math, diagrams, and mixed-format papers while flagging anything that needs a human review.

What sets it apart is the focus on real exam workflows: OCR trained on student handwriting across 30+ languages, on-screen marking for distributed examiners, question generation from PDFs, LaTeX exam paper formatting, and REST APIs for LMS and EdTech integrations. Institutions can deploy on-premise so exam data stays inside their network.

GradeLab targets K-12 schools, higher-ed departments, test-prep centers, corporate training teams, and public-sector assessment programs that process large paper volumes and want consistent grading with analytics parents and administrators can actually read.

Double is a lead research and enrichment platform for sales and marketing teams. You upload a prospect list, and Double uses GPT to search the web and answer custom questions about each company or contact. Instead of manually Googling accounts, you define the criteria that matter to your outbound motion and get answers back at scale.

The product focuses on qualifying and enriching leads in bulk. You can ask whether a company is remote-first, SOC II compliant, B2B, building an API product, running a marketplace with payments, or shipping a mobile app as its core offer. Double returns sourced answers you can review alongside LinkedIn and email data in a table view.

Double also finds verified work emails by aggregating more than ten private data sources. The site positions this coverage as broader than tools like Apollo and RocketReach. Teams at Amazon, Indeed, and Gartner are shown on the homepage, and the company is backed by Y Combinator.