Togal.AI vs Gnbly

Togal.AI is cloud-based construction takeoff software built by estimators for preconstruction teams. It reads architectural drawings and automatically detects, measures, counts, and labels project spaces and features so estimators spend less time clicking through plan sets.

The platform lets multiple team members work on the same takeoff in real time and invite collaborators outside the organization. It supports drawing set comparison, version history, and exports quantities to estimation software or spreadsheets.

Togal serves general contractors, subcontractors, and specialty trades across drywall, electrical, mechanical, plumbing, painting, and more. The company is based in Miami and was founded by Patrick Murphy from a multi-generational family construction business.

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.