We are an India-based industrial software and AI engineering partner serving US manufacturers on Eastern Time hours. We build and integrate MES, IIoT, vision inspection, predictive maintenance and AI agents for plants in Michigan, Ohio, Texas, Arizona and Tennessee. Engagements start with a 30-minute discovery call and a plant assessment, then proceed to a scoped 12 to 16 week pilot.
Detroit auto, Houston energy, Phoenix semiconductor fabs, Tennessee EV. We help US manufacturers cut downtime, lift OEE, and modernise legacy shop floors. Manufacturing-native engineering, not generic offshore IT.
US clients are served from India on Eastern Time hours, 8am to 6pm ET, Monday to Friday. Book a call at ajinkyatechnologies.com/schedule.
BLS data shows ~2.1M US manufacturing jobs likely unfilled by 2030. Automation, AI vision and embedded engineering close the gap.
PLCs from 1998 still drive lines that ship today. We retrofit OPC UA / Modbus / MQTT connectivity without ripping out what works.
Steel, semiconductor and pharma lines lose six-figure hours weekly. Condition-based maintenance with IIoT sensors cuts that 40%+.
Finance reads one number, operations another. We build the integration layer that makes one truth, with logged audit trails on every transaction.
AI visual inspection at the workstation catches defects in milliseconds, not after the truck rolls.
CHIPS Act, EV battery, pharma reshoring - capacity is being added faster than US firms can hire to operate it digitally.
Machine connectivity (OPC UA, Modbus, MQTT), real-time OEE dashboards, MES with electronic batch records, ERP integration with SAP S/4HANA, Oracle Cloud or Microsoft Dynamics 365.
AI visual inspection for defect detection, predictive maintenance from vibration / current-signature sensors, demand and energy forecasting. MLOps from day one - model registry, drift monitoring, audit trails.
Edge AI gateways, FPGA support, RTOS firmware, sensor integration - for robotics, EV systems, industrial electronics and avionics-adjacent work.
Multi-agent systems built on Claude, GPT and Gemini that execute, not just chat. Procurement triage against ERP, invoice reconciliation, L1 ticket resolution - with full audit trails on every action. GDPR and FDA 21 CFR Part 11 practices in place. ISO 27001 and SOC 2 Type II in progress.
Network segmentation, anomaly detection on industrial protocols, secure remote-engineer access, and SCADA upgrades to modern HMIs. Designed for IEC 62443 and NERC CIP environments.
RFID warehouse automation, gate-in to gate-out material movement, FSMA 204 / DSCSA serialization, lot/batch genealogy for food, pharma and electronics.
RFID-driven material movement across one of the world's largest steel complexes. $2.4B+ daily material flow with real-time SAP sync.
AI asset tracking and warehouse automation managing $1.4B+ of inventory across multiple plants with 90% dispatch-error reduction.
"Ajinkya Technologies transforms warehouse automation with Galaxy XCover7" - published as an official Samsung B2B case study.
Computer-vision defect detection on wafer inspection line - references available under NDA on a discovery call.
GxP-aligned MES with electronic batch records, FDA 21 CFR Part 11 ready. Referenceable under NDA.
Enterprise fleet, safety and learning platforms with 71,200+ active users across global geographies.
A 30-minute call at a time that works for you. We come prepared with two or three concrete observations about your sector and plant type. No deck pitch.
Remote or on-site assessment of one plant over 1 to 2 weeks. We map your data flows, identify the highest-value digitisation targets, and estimate rough effort. Cost: USD 8,000 to 15,000.
One line, one warehouse or one agent role. Fixed scope, fixed timeline. You own the code and all IP at the end of the pilot.
Once the pilot proves the model, we expand plant by plant. Rollout can be self-managed by your team using our code or continued with our support.
Eastern Time coverage from 8:30 AM to 12:30 PM Eastern in summer and 7:30 AM to 11:30 AM Eastern in winter (6 PM to 10 PM IST), with a second window at 3 PM Eastern in summer and 2 PM Eastern in winter (12:30 AM IST). On-call SLA available under AMC.
30-minute discovery call. ET / CT / PT slots available daily. We come prepared with two or three concrete ways we can help your specific plant.
Neither, really. We deliver from India but we are not a body-shop. We are a manufacturing-native engineering partner - our engineers spend time inside steel plants, automotive lines, pharma sites and refineries. Most US engagements are partner-led: we work alongside system integrators, automation OEMs (Rockwell, Siemens, AVEVA, Ignition ecosystems) and MES vendors rather than competing on price.
For ITAR / CMMC-flagged engagements we use a US-based partner / sub-contractor structure with US-citizen engineers and data residency in US-based clouds. Talk to us about the specific certifications your prime requires - we will design the engagement model around them rather than pretending we are something we are not.
Engagements can be designed with data residency in AWS US, Azure US or Google Cloud US - including air-gapped configurations for OT environments. GDPR and FDA 21 CFR Part 11 practices in place. ISO 27001 and SOC 2 Type II in progress. Documentation available under NDA.
Mid-market manufacturers ($50M-$2B revenue) and divisional pilots inside Fortune 1000 are our sweet spot. Below $50M, a dedicated team engagement works better. Above $2B, we typically engage via a system integrator partner. Talk to us - we will tell you honestly if it is not a fit.
A 30-minute discovery call, then a 1 to 2 week "fit assessment" where we walk your plant (virtually or on-site) and come back with two or three concrete ways we can help and rough effort. From there it is usually a 6 to 12 week paid pilot before any large rollout commitment. No multi-year MSA needed to start.
US clients are served from India on Eastern Time hours, 8am to 6pm ET, Monday to Friday. Book a call at ajinkyatechnologies.com/schedule.
We use cookies to make our site work and, with your consent, to measure traffic and improve the experience. You can change your choice anytime via "Cookie Settings" in the footer. Privacy Policy · Cookie Policy