AI Robotics for Manufacturing

AI robotics for manufacturing combines artificial intelligence specifically computer vision and machine learning with industrial robotic hardware to automate quality inspection, part sorting, and production monitoring on enterprise manufacturing lines. AddWeb engineers the complete system: trained AI models, calibrated robotic cells, edge inference hardware, and multi-plant dashboards.

Four integrated capabilities: AI vision quality inspection using high-FOV cameras with custom-trained defect detection models, robotic sorting with 6-axis industrial arms and custom end-of-arm tooling, computer vision for production lines with 3D depth sensing and sub-100ms edge inference, and multi-plant industrial dashboards with real-time alerting via SMS, email, and WhatsApp.

Yes. AddWeb Solution LLC is headquartered at 8595 Pelham Road, Greenville, SC 29615. US-based account managers handle procurement, contracting, and IP transfer. Engineering delivery comes from a 160+ engineer team in Ahmedabad, India, operating under ISO 9001 and ISO 27001 certification.

A Discovery Sprint takes 2-3 weeks. A full single-line Production Line Build takes 18-24 weeks from purchase order to Site Acceptance Testing. Multi-Plant Rollouts run 12-18 months in phased delivery.

Detection accuracy depends on defect class complexity, lighting conditions, and production speed. We engineer for 98%+ detection rates on trained defect classes, calibrated and validated during Factory Acceptance Testing before hardware ships to your site.

You do. Full IP transfer source code, AI models, training pipelines, dashboards, and runbooks happens on final payment after Site Acceptance Testing. No retention, no perpetual license fees, no vendor lock-in.

Discovery Sprint: $15K–$22K (2-3 weeks). Production Line Build: $85K–$145K (18-24 weeks per line). Multi-Plant Rollout: $360K+ (12-18 months phased). Optional Annual Maintenance Contract starts at $9,500 per year. Exact quotes depend on production line complexity, hardware brand selection, and dashboard scope.

US-headquartered in Greenville, SC with a dedicated NJ office for Northeast clients. 4-hour daily time zone overlap with US Eastern and Pacific. Engineers travel for on-site Discovery, installation, and commissioning. Daily standups in your time zone with one accountable account lead.

Automotive component sorting and assembly verification, pharmaceutical packaging inspection aligned to FDA 21 CFR Part 11, electronics and PCB inspection aligned to IPC-A-610, medical device surface and dimensional QA, food and beverage foreign object detection aligned to FSMA and HACCP, and foundry casting defect inspection.

Typically no. AI vision stations and robotic cells are designed as add-on stations integrated into existing conveyor systems via PLC handshake. Discovery includes a production line audit to identify the optimal integration approach with minimal disruption to current operations.

Vendor-agnostic engineering standardized on industrial-grade hardware: Cognex and Keyence for vision systems, Yaskawa and Universal Robots for robotic arms, Schunk and Robotiq for end-of-arm tooling, NVIDIA Jetson for edge AI inference, and Allen-Bradley or Siemens for PLC control. Final selection is driven by your environment and OEM requirements.

Packaged solutions deploy faster but come with a pre-configured defect class set, single-vendor lock-in, and recurring license fees. AddWeb delivers custom-trained AI models on vendor-agnostic hardware with full source code and IP ownership and no recurring software fees. Discovery determines which approach fits your requirements.

ISO 9001 quality management and ISO 27001 information security, both certified. Engineering aligned to FDA 21 CFR Part 11 for life sciences, IATF 16949 for automotive, IPC-A-610 for electronics, FSMA and HACCP for food safety, and EN ISO 13849 for machine safety.

Yes. The $15K–$22K Discovery Sprint is a 2-3 week fixed-scope engagement that includes on-site production line audit, defect class review, sample part trials, gripper prototyping, and a calibrated go/no-go feasibility report with ROI model, timeline, and cost estimate.