Company profile

Cloneable

AI automation platform for heavy industries, cloning expert knowledge and workflows.

cloneable.aiProfile compiled July 20264 source pages read
Category
Vertical SaaS
Headquarters
Raleigh, North Carolina
Sells to
Enterprise
Business model
SaaS subscription
Deployment
Cloud / SaaS, Mobile, Edge
Pricing
Not published
Builds own models
No — builds on existing models
Modalities
Multimodal, Sensor, Image

Cloneable is an AI automation platform purpose-built for heavy industries like utilities, telecom, and agriculture. It captures the knowledge, workflows, and decision-making logic of experts and deploys it across organizations, both in the field and in the back office. The platform offers mobile-first, offline-capable applications for field operations and AI agents to automate specialized back-office tasks within existing enterprise software. Cloneable focuses on complex, technical work requiring specialized human judgment, learning from top performers' actual execution rather than documentation.

  • Cloneable FieldA mobile-first, offline-capable app that guides crews through complex field operations with expert precision and validates data quality before leaving the site. It replaces paper forms, inconsistent photo capture, and subjective hand measurements with structured, expert-guided workflows.
  • Cloneable AgentA fully agentic platform that observes how expert technicians perform specialized tasks and then deploys AI agents to execute those same workflows autonomously within existing back-office enterprise software. It handles complex, context-heavy analysis that traditionally required human specialists.
  • Cloneable for DevelopersA no-code web app to build dynamic custom applications for edge devices. It allows integration of custom AI models, computer vision, and LiDAR, and leverages low-code components for specific business logic using JavaScript. It enables deployment to drones, robots, IoT devices, smartphones, and tablets.
  • Captures knowledge, workflows, and decision-making logic of experts
  • Deploys expert knowledge across organizations (field and back office)
  • Mobile-first, offline-capable field applications
  • Built-in quality validation for field data
  • AI Agents automate back-office workflows
  • Works within existing back-office software (e.g., Katapult, ESRI, SpidaCalc)
  • Learns from how top performers actually execute tasks
  • No-code web app for building custom applications
  • Integrates custom AI models, computer vision, LiDAR
  • Low-code components for custom business logic (JavaScript)
  • Deployment to edge devices (drones, robots, IoT, smartphones, tablets)
  • Supports iOS devices (iPhone 13 Pro+, iPad Pros)
  • Future support for Linux edge devices and cloud deployment
  • Bring your own cloud storage (AWS S3, Cloudflare R2, Azure, GCP)
  • Supports various data types for import/export (Text, Numbers, True/False, Status, Unique ID, Color, Location, Files, BoundingBoxes)
  • API integration for AI models (Roboflow, Ultralytics YOLO v8)
  • Automating expert-driven back-office workflows
  • Utility inspections
  • Telecom inspections
  • Make-ready engineering
  • Joint-use
  • Construction verification
  • Field data collection
  • Permit review
  • Pole loading analysis
  • Joint-use approvals
  • Design in ESRI & Katapult
  • Creating auditable tree measurement and classification processes
  • Automating material management, damage detection, and damage reporting for solar panel shipments
  • Improving pole fielding operations
  • Reducing workers needed on site while increasing production throughput
  • Compressing approval timelines from months to days
  • Taking on more work without adding equivalent headcount

Cloneable.ai provides an AI automation platform that captures expert knowledge, workflows, and decision-making logic to deploy across an organization. It offers two main products: Cloneable Field, a mobile-first, offline-capable app for expert-guided data collection in the field, and Cloneable Agent, an agentic platform that observes technicians and deploys AI agents to execute workflows autonomously within existing back-office systems. The platform is purpose-built for highly complex, technical work in heavy industries. While Cloneable does not train its own models, it allows users to integrate their own AI models and deep tech from other developers, making it easy to upload models and wrap them into components through APIs. It also leverages generative AI for low-code components to align with unique requirements or models.

Tech named: AI/ML, computer vision, LiDAR, YOLO v8, Roboflow API, generative AI

  • Utilities
  • Telecom
  • Agriculture
  • ISPs
  • Engineering firms
  • Purpose-built for highly complex, technical work requiring specialized human judgment
  • Deep industry context, not a general-purpose AI model adapted for specific industries
  • Works inside existing back-office software, no replacement needed
  • Learns from how best people actually work, not just documentation
  • Engineering-grade judgment for complex, context-heavy analysis
  • Built-in quality validation for field data, reducing re-mobilizations and re-work
  • Fully offline-capable field applications
  • No-code platform for custom application development
  • Flexibility to integrate custom AI models and deep tech from other developers
  • Low-code components for unlimited specificity with JavaScript
  • Instant deployment to various edge devices
  • Supports 'bring your own cloud storage'
  • Ability to remove and swap AI models easily

Congruent Ventures, First In, Overline, Bull City Venture Partners, St. Elmo Venture Capital

From the AI funding tracker — rounds as reported by the linked publications.

This profile was compiled from Cloneable's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.