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Cintoo

Cintoo provides a cloud‑native platform that converts raw point‑cloud scans from any laser scanner into lightweight, high‑resolution 3D meshes using its TurboMesh engine. Integrated AI automatically classifies and structures the data, and open SDKs and REST APIs enable direct integration with BIM, GIS, CAD and digital‑twin workflows for collaborative visualization and analysis.

Miami, United StatesFounded 2013887K+ followers
Updated 3 months ago

Funding

$40.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Large reality‑capture datasets generated by laser scanners are difficult to store, process, and share. Point clouds are massive, vendor‑specific, and lack automated classification, which slows BIM, GIS, and digital‑twin workflows for architecture, engineering, and construction teams.

Solution

Cintoo delivers a cloud‑native platform that ingests raw point‑cloud data from any scanner, converts it into lightweight high‑fidelity meshes, and makes the results accessible through a web interface. Its patented TurboMesh engine performs point‑cloud‑to‑mesh transformation at scale while preserving geometric accuracy. Built‑in AI automatically classifies and structures the 3D data, turning raw scans into organized assets ready for downstream use. Open SDKs and REST APIs enable seamless integration with BIM, GIS, and digital‑twin systems, allowing teams to collaborate, visualize, and analyze scan data without vendor lock‑in. The service is hosted on a secure, ISO‑27001 and SOC‑2 compliant infrastructure with unlimited user and data access.

Target Audience

Primary customers are architecture, engineering, and construction firms, BIM managers, GIS and infrastructure owners, and digital‑twin developers who need to process and share large reality‑capture datasets efficiently.

Features

  • TurboMesh patented technology that converts massive point clouds into lightweight, high‑resolution 3D meshes for fast streaming and sharing.
  • AI‑driven classification that automatically tags and organizes scan elements, reducing manual preprocessing time.
  • Cloud‑based upload, processing, and visualization with unlimited users and web access, supporting collaboration from any location.
  • Vendor‑agnostic ingestion supporting all major laser scanners and reality‑capture devices, eliminating ecosystem lock‑in.
  • Open SDKs and RESTful APIs for direct integration with BIM, GIS, CAD, and digital‑twin platforms, plus a streaming SDK for VR/Metaverse experiences.
  • Enterprise‑grade security: ISO‑27001, SOC‑2, and GDPR compliance with end‑to‑end encryption and role‑based access controls.
  • In‑browser collaborative workspace with project management tools, version control, and real‑time commenting on 3D assets.
This profile is AI-generated and may contain inaccuracies.