AI Robotics for Manufacturing. Built in America. Deployed Worldwide.

It’s the combination of computer vision, machine learning, and 6-axis robotics deployed inside production lines to automate quality inspection, sorting, defect detection, and process monitoring. AddWeb engineers end-to-end systems covering hardware integration, AI model training, robotic actuation, and centralized dashboards.

Yes. AddWeb Solution maintains its US headquarters in Greenville, South Carolina, with additional offices in New Jersey and Melbourne, Australia. Our delivery center is in Ahmedabad, India. This US-registered structure simplifies procurement, contracting, and IP transfer for North American and European clients.

A 2 to 3 week Discovery Sprint validates feasibility and produces a fixed-scope proposal. A typical full deployment runs 18 to 24 weeks from PO to Site Acceptance Testing — covering prototyping, procurement, AI training, factory acceptance testing, installation, and dashboard development.

Our systems target 98 percent or higher detection accuracy — typically meeting or exceeding human visual inspection. For zero-tolerance defect classes, the system can be tuned to a strict no-pass mode where any uncertain item is rejected by default. Final accuracy is calibrated per use case during Factory Acceptance Testing.

You do — fully. On final payment, all source code, trained AI models, training pipelines, calibration data, deployment runbooks, and dashboards transfer to your team. No retention. No lock-in. Hardware warranties pass through from the OEM as standard.

We comply with US export controls (EAR/ITAR where applicable), GDPR for European clients, and standard IP transfer protocols. All client data is held under NDA. Our US-registered entity simplifies dual-use technology contracting. We can sign US data residency commitments where required.

Typical payback in developed-market deployments runs 14 to 22 months — driven by reduced inspector labor costs, lower defect escape rates to customers, faster line throughput, and reduced rework. Discovery includes a calibrated ROI model based on your actual labor rates, throughput, and current defect rates.

Discovery and Pilot Studies start at $15,000 USD. Full enterprise deployments typically range from $85,000 to $145,000 USD per production line. Multi-plant rollouts start at $360,000 USD. Annual Maintenance Contracts start at $9,500 USD per year. Final pricing discussed in your Discovery Call.

Each engagement is led by a US-based account manager (Greenville SC or NJ) coordinating with our senior engineering team. We maintain 4-hour daily overlap with US Eastern and Pacific time zones. On-site visits for Discovery, Factory Acceptance Testing, and Site Acceptance Testing are included in scope. Engineers travel to client sites for installation and commissioning.

Automotive components, pharmaceuticals, electronics and PCBs, food and beverage, medical devices, aerospace components, foundry and metals, and discrete manufacturing. Any production line with repeatable visual inspection or sorting decisions is a candidate. We assess fit during Discovery.

Most deployments integrate with existing conveyor systems with minor preparation. Common prerequisites include conveyor leveling, physical bifurcation gates, and signal integration with the existing PLC. We document all required modifications in the Discovery deliverable before any procurement begins.

We standardize on industrial-grade brands trusted by US and European manufacturers — Cognex, Keyence, OAK-D Luxonis, Intel RealSense, and Orbbec for vision systems. Yaskawa Motoman, Fanuc, Universal Robots, and ABB for robotic arms. Schunk and Robotiq for grippers. Final brand selection is recommended during Discovery based on environment, payload, and OEM warranty requirements.

Packaged solutions are excellent for standardized inspection problems but break down on custom defect classes, multi-zone integration, or industry-specific edge cases. AddWeb builds custom systems on top of the same industrial-grade hardware — typically delivering 30 to 50 percent better accuracy for non-standard problems while owning the integration end-to-end.

Yes. Schedule a Discovery Call with our AI Robotics practice. We will review your production line, defect classes, throughput, and constraints. If AI Robotics is not the right fit, we will tell you directly and recommend simpler alternatives. No sales pitch.