Aibuild

SoftwareLondon, United Kingdom (HQ); Belmont / Silicon Valley, California, USAFounded 2015· One of 368 Software companies tracked by AMPulse

Aibuild provides agentic AI software (Aibuild OS and Aibuild CAM) that automates CAD, CAE, and large-format additive manufacturing workflows for robotic and gantry systems from design intent to print.

CEO / Founder: Daghan Cam
Team Size: 11-50
Stage: Active
Total Funding: $14.8M
Latest Round: Strategic Investment
Key Investors: IQ Capital; Driventure (Ford Otosan); 212 NexT; ACT Venture Partners; SuperSeed; Force Over Mass Capital; Atlas Ventures; Nikon; Caterpillar Venture Capital; Seedcamp

Technology & Products

Key Products

Aibuild OS (agentic AI operating system for autonomous CAD/CAE/CAM); Aibuild CAM (LFAM toolpath/slicing platform, formerly AiSync); Aibuild FETS (GPU finite-element thermomechanical simulation for AM); AiMaker (robotic end-effector); AiCell (robotic arm enclosure)

Technological Advantage

The software is hardware-agnostic, integrating with a wide range of industrial robots and gantry systems. Its AI-driven automation significantly reduces failure rates and manual programming time.

Differentiation

Value Proposition

To automate engineering and large-format additive manufacturing end-to-end via agentic AI—from natural-language design intent through CAD/CAE/CAM execution to reliable, first-time-right robotic and gantry builds.

How They Differentiate

AI Build focuses on an end-to-end, AI-powered workflow specifically for large-format robotic AM. While competitors offer parts of the solution (e.g., slicing, simulation), AiSync provides a fully integrated platform from planning to real-time quality control.

Market & Competition

Target Customers

Tier 1 manufacturers and their supply chains in the aerospace, automotive, construction, energy, and marine industries.

Industry Verticals

Aerospace, Automotive, Construction, Energy, Marine

Competitors

Dyndrite; Hyperganic; Materialise; Siemens NX

Growth & Milestones

Growth Metrics

Expanding into North America by opening a US subsidiary.

Major Milestones

2015: Company founded, 2021: Closed a $1M seed round, 2023: Raised $8.5M Series A (total ~$13.5M); North America expansion, 2025-12: Strategic investment led by IQ Capital with Driventure and 212 NexT, 2026-03: Launched Aibuild OS agentic AI operating system, 2026-05: Launched Aibuild FETS thermomechanical simulation

Notable Customers

Boeing; Ford Motor Company; Ford Otosan; Nikon; Caterpillar; Howe AG; The Weir Group

https://ai-build.com

Recent coverage of Aibuild

Why this company matters

AMPulse analysis, not a company disclosure

AI Build provides an AI-driven software platform, AiSync, that automates the entire large-format additive manufacturing workflow from planning to print. The platform targets the limitations of traditional G-code-based methods by using a closed-loop system with computer vision and artificial intelligence to generate toolpaths, control processes in real time, and perform quality assurance. This approach aims to make large-scale 3D printing more repeatable and efficient for industrial users.

The company's product suite includes Ai Build OS, an agentic AI operating system; AiSync, a SaaS platform; Ai Build CAM for 3D printing; AiMaker, an AI-enabled robotic end-effector; and AiCell, a robotic arm enclosure. The software is hardware-agnostic, integrating with a range of industrial robots and gantry systems from partners such as KUKA, ABB, and CEAD. This flexibility allows it to serve tier-1 manufacturers in aerospace, automotive, construction, energy, and marine sectors.

Notable customers include Boeing, Ford Motor Company, Ford Otosan, Nikon, Caterpillar, Howe AG, and The Weir Group. The company has raised $14.8 million from investors including IQ Capital, Driventure, Nikon, and Caterpillar Venture Capital. AI Build competes with Dyndrite, Hyperganic, Materialise, and Siemens NX, differentiating through its end-to-end, AI-powered workflow specifically for large-format robotic additive manufacturing rather than offering only slicing or simulation modules.

A key open question is whether the company's trade-secret-protected AI algorithms can maintain a defensible moat as competitors develop similar closed-loop capabilities. Expanding into North America via a US subsidiary signals ambition to capture more aerospace and automotive business, but scaling adoption beyond early-adopter tier-1s will test the platform's ease of integration and return on investment.