Structured engineering R&D service for clients exploring novel IoT, automation, sensor, or AI applications for their specific industrial processes. Factory Next's engineering team undertakes feasibility studies, proof-of-concept development, and prototype validation under defined research agreements.
Access Factory Next's multi-disciplinary engineering team for R&D projects without building an in-house team.
Validate concepts through structured feasibility studies before committing full capital to deployment.
Factory Next's existing IoT and AI infrastructure accelerates prototype development significantly.
Structured research agreements define IP ownership, confidentiality, and technology transfer terms clearly.
R&D outcomes include deployment-ready specifications, reducing the gap between prototype and production.
Systematic evaluation of technical feasibility, commercial viability, and implementation pathways for novel applications.
Working hardware prototypes with embedded software developed and tested in controlled laboratory environments.
Systematic evaluation and comparison of sensor technologies for accuracy, reliability, and cost in target environments.
Development and validation of AI/ML model proof-of-concepts using client-supplied or collected operational data.
Formal research agreements defining scope, milestones, IP ownership, confidentiality, and technology transfer terms.
Comprehensive deployment specifications, bill of materials, and technical documentation for production scale-up.
ML Model Research & DevelopmentResearch and develop custom ML models for novel industrial applications using Factory Next's AI engineering capabilities.
Edge AI Prototype DevelopmentDevelop and validate AI inference on edge hardware for latency-sensitive industrial applications.
Sensor Fusion ResearchResearch and prototype multi-sensor fusion architectures for complex industrial measurement and detection challenges.
Define research objectives, technical requirements, success criteria, and IP framework through structured discovery workshops.
Systematic technical and commercial feasibility evaluation with documented findings and go/no-go recommendation.
Develop working prototype, conduct controlled testing, and iterate based on results against defined success criteria.
Deliver technical feasibility report, working prototype, deployment specifications, and technology transfer documentation.
R&D for custom sensor configurations measuring non-standard parameters in harsh industrial environments.
Feasibility studies and prototyping for edge AI inference on low-power embedded hardware for remote industrial sites.
Evaluation and prototype development for emerging wireless protocols for industrial IoT in high-interference environments.
AI model R&D for novel process analytical technology (PAT) applications in pharmaceutical manufacturing.
IoT and AI system prototyping for precision agriculture applications including soil monitoring and crop health detection.
Sensor fusion and AI prototype development for defence and critical infrastructure protection applications under NDA.