GradeLab vs Gnbly

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.

Gnbly is an automation studio that builds AI-native software for go-to-market, content, and operations teams. The company ships three products on a shared AI fabric: NatterGPT for voice agents, Vidsue for long-form video production, and WorkerFleet for operational automation. Each tool runs on the same models, memory layer, and security stack.

Compared with buying separate point solutions, Gnbly bundles focused products that share infrastructure. You trade a single-vendor suite for deeper cross-product memory, but each product still has its own site and pricing rather than one unified dashboard.

Gnbly targets operators at growth-stage companies who want voice, video, and workflow automation without building custom agent infrastructure. NatterGPT handles outbound and inbound calls with copilot mode, Vidsue turns scripts into publish-ready videos, and the studio reports 12M+ agent actions monthly across 40+ countries.