
How to Scope a Robotics Automation Project in India (2026)
A practical scoping guide for robotics automation projects in India — AMR pilots, workcell throughput, PLC safety interlocks, and acceptance testing.
Read articleTechieYan provides AI and machine learning development, IoT and smart systems, computer vision, robotics and automation, embedded and FPGA engineering, MLOps, and full product engineering from prototype to deployment.
TechieYan Technologies is headquartered in Hyderabad, Telangana, India, and serves clients across India and globally with remote and on-site engineering teams.
Yes. TechieYan builds production AI systems including custom ML models, LLM and RAG applications, generative AI pipelines, NLP, computer vision, and MLOps for enterprises and startups in India.
Yes. TechieYan engineers end-to-end IoT solutions including sensors, edge gateways, MQTT and LoRaWAN connectivity, cloud backends, and operator dashboards for industrial, agriculture, and smart infrastructure projects.
Manufacturers, defence teams, enterprise R&D labs, HealthTech, AgriTech, and automotive companies hire TechieYan when they need robotics, embedded firmware, FPGA, or AI systems that must work in real production environments.
Contact TechieYan via the website contact form at https://techieyantechnologies.com/contact/ or WhatsApp at +91-7075575787. The R&D team responds within hours to discuss scope, timeline, and technical approach.
Engagements typically start with a fixed-scope POC sprint (2–4 weeks) or milestone-based build. Cost depends on data readiness, model complexity, and deployment environment. TechieYan provides a scoped proposal within days of the initial call — not open-ended hourly billing.
Yes. TechieYan signs NDAs before technical discussions and delivers source-open: clients own model weights, code, pipelines, and documentation. IP assignment is aligned to enterprise procurement standards.
Yes. TechieYan deploys on private cloud, on-premise GPU clusters, and air-gapped environments for defence, manufacturing, and regulated industries — with documented inference SLAs and monitoring.
Most POC sprints run 2–4 weeks with defined go/no-go criteria. Milestone-based product builds follow with weekly demos. Retained engineering pods support continuous iteration after go-live.
Yes. TechieYan has delivered AI, IoT, computer vision, robotics, and embedded systems for manufacturers, defence-adjacent R&D labs, and industrial operators who require production-grade reliability.
Fixed-scope POC sprint, milestone-based product build with weekly demos, retained AI/IoT engineering pod, and rescue/refactor of stalled initiatives with an audit-first approach.
Since its founding in 2018, TechieYan has worked with 50+ enterprise and startup partners and delivered 200+ industry projects across AI, IoT, vision, robotics, and embedded systems.
TechieYan Technologies was co-founded by Hari Phi and Shraddha Lamture. Learn more at https://techieyantechnologies.com/about/
Both. TechieYan has delivered projects for early-stage startups and engineering teams inside large manufacturers, defence labs, and enterprise R&D organisations.
Manufacturing, defence and security, HealthTech, AgriTech, automotive, FinTech, enterprise SaaS, and corporate R&D labs across India and globally.
Within one business day for emails and contact forms. Usually under an hour on WhatsApp during working hours (Mon–Sat, 9:00–18:00 IST).
A free 30-minute working session with a senior engineer. TechieYan reviews the problem, sketches technical options, and sends a rough scope by email afterward.