Assembler AI
Assembler AI provides a computer vision system for manual manufacturing workstations that automatically captures step-level cycle times, detects deviations from standard operating procedures, and alerts operators in real time. The system uses a single overhead camera, requires no workflow changes, and becomes operational within two weeks. It is designed for high-mix, low-volume manufacturers where 50–70 percent of scrap traces back to how work was performed.
- Manufacturing / Industry 4.0
- Artificial Intelligence
- Industrial Automation
- Software Only
- Data & Analytics
Funding
Raised to date
$4MRaised 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.
across 1 round
DCDCFM+1$4M · Seed
Announced Oct 2026 · from article date
Disclosed cumulative: $4M
Founders
Founder details are not available yet.
Product
Problem
Manual workstations in high-mix, low-volume factories lack continuous, objective measurement of how tasks are performed, making it difficult for continuous-improvement (CI) teams to identify bottlenecks, waiting time, or rework, and for operators to receive timely guidance to improve first-pass yield. Between 50 and 70 percent of scrap at these manufacturers traces back to how work was performed, yet nothing at a manual station records what actually happened.
Solution
Assembler AI's Operator Vision system uses a standard overhead camera and existing standard operating procedures (SOPs) to automatically capture step-level cycle times, idle periods, and variance across operators, shifts, and product mixes. The platform continuously analyzes production runs, providing CI leaders with real-time metrics and actionable insights without the need for stopwatches or manual data entry. Simultaneously, operators receive on-screen guidance and error flags that help them correct actions during the shift, improving cycle time and reducing scrap. The solution requires only camera installation and SOP upload, with no changes to operator workflow, and becomes operational within two weeks. The system checks every cycle against work instructions, covering step completion, sequence, part and tool selection, inspection dwell time, counts, and final placement.
Target Audience
Primary customers are continuous-improvement engineers, quality managers, and production managers in high-mix, low-volume manufacturing sectors such as aerospace, automotive, electronics, and medical devices, as well as the operators on manual assembly lines.
Features
- Standard camera installation with no custom hardware or workflow modifications; one camera covers roughly ten feet by ten feet, with multi-camera setups for larger stations
- Automatic extraction of step-level cycle times, variance, waiting, and idle time from live video on every cycle, not sampled
- Real-time operator guidance and error flagging displayed on-site during production, with alerts reaching the operator before any supervisor
- Continuous analytics dashboard for CI leaders showing metrics by operator, shift, and product mix
- Integration of existing SOPs without rewriting or reformatting; the system reads work instructions and learns steps, tools, and parts automatically
- Proprietary manufacturing vision models that start around 80 percent accuracy on a new station and reach the mid 90s after initial calibration
- Automatic handling of lighting shifts and minor part differences, with support for up to ten visually distinct product configurations on the same line
- Privacy-preserving design: faces are blurred, no operator names or IDs are collected, and events are tied to station and shift, not individuals