What industries does AdaptNXT serve?

We work across industries such as manufacturing, logistics, healthcare, retail, and technology. If your challenge involves data, systems integration, and shipping reliable software into production, we can help.

How long does a typical project take?

Timelines depend on scope and data readiness. A focused proof of concept typically takes 4–8 weeks. Production delivery often ranges from 8–16+ weeks, with value shipped in increments through agile sprints.

Do you provide ongoing support after deployment?

Yes. We can provide monitoring, incident response, performance optimization, and ongoing enhancements. For AI solutions, that can also include model monitoring and retraining workflows as requirements evolve.

What is your approach to data security and privacy?

We follow security-by-design practices: least-privilege access, encryption in transit and at rest, secure secrets management, auditability, and alignment to your policies. We can deploy in your cloud account/VPC or on-prem where required.

Can you integrate with our existing systems?

Absolutely. We typically integrate via APIs, events, and data pipelines with enterprise systems and tools. We start with an integration map and work backward from the workflows your teams rely on.

Who owns the IP and what about confidentiality?

Your IP remains yours. We work under NDA and follow your confidentiality requirements. Any reusable internal accelerators we use remain generic and do not include client-specific data or code.

Do you work with in-house teams?

Yes. We can deliver end-to-end or collaborate with your engineers. Either way, we prioritize clean handover: documentation, runbooks, and knowledge transfer so your team can operate and extend the solution.

AdaptNXT Technology Solutions - AI, IOT & COMPUTER VISION BUILT FOR PRODUCTION

We help teams turn data, devices, and images into reliable automation and decision support—integrated with your existing systems and delivered with engineering rigor.

AI FOR AUTOMATION AND
DECISION SUPPORT

View AI Services

INDUSTRIAL IOT FOR
VISIBILITY AND CONTROL

View IoT Services

COMPUTER VISION FOR
QUALITY AND SAFETY

View CV Services

50+

GLOBAL CLIENTS

120+

PROJECTS DELIVERED

99%

CLIENT SATISFACTION

Recognized By

Best Company to Work With

GoodFirms — goodfirms.co

OUTCOMES WE DELIVER

We build and deploy systems that improve quality, reduce manual effort, and create decision-grade visibility across your operations—without disrupting your existing stack.

Build models that forecast demand, detect anomalies, and automate workflows—then deploy them with the monitoring, MLOps, and guardrails required for production.

Forecasting & anomaly detection
Document & workflow automation
MLOps, deployment & monitoring
Model integration via APIs
Security & governance alignment

CASE STUDIES

Real implementations, real constraints—see how we deliver from prototype to production

View All Case Studies

IoT

Decentralized Video Broadcasting and Automated Media Scheduling IoT Platform

How we engineered a custom, rugged multi-interface IoT gateway and sub-second WebRTC video streaming pipeline to support decentralized field broadcasting for media companies and remote classroom learning. Our rugged IoT solution combines high-performance POE, HDMI, cellular SIM failover, and automated offline pre-fetched media scheduling to successfully guarantee uninterrupted, high-definition live video streams globally.

Read Case Study

Computer Vision

Edge AI for Real-Time Driver Fatigue and Drowsiness Detection

Enhancing road safety for a leading logistics fleet, AdaptNXT deployed a ruggedized Edge AI solution monitoring driver behavior in real-time. Utilizing Infrared cameras and Computer Vision, the system detects fatigue indicators like yawning frequency and eyelid closure. It provides immediate in-cabin audio alerts while notifying the centralized control room, resulting in a massive 65% reduction in safety incidents.

Read Case Study

Product Engineering

Agritech SaaS: Digital Transformation for Global Seed Research

Empowered a leading Agritech SaaS provider with a comprehensive, data-driven platform and mobile ecosystem for global seed research. By managing the end-to-end technology stack for their breeding, production, and inventory product lines, we enabled seed companies to digitize field data collection, accelerate breeding cycles, and optimize production workflows.

Read Case Study

CLIENT TESTIMONIALS

What teams say after shipping together

"Adaptnxt people know our language, know our business, and understand our domain. They provide the development acumen and 24x7 implementation support around the globe."

Ranjan

CEO RedKraft Beverages

"Highly recommendable for Business Process Automation services. After trying various vendors, they are the best to understand our business use case. I had a great experience with Lalit and Nagendra."

Akshay Patni

Founder RankHawn

"Team has very versatile expertise and both Nagendra and Dheer are good listeners. Product delivered is excellent and training was excellent making sure that client is satisfied."

Shells Mash

Chief Digital Officer

OUR PROCESS

A delivery approach designed for production: clear scope, measurable success, and predictable rollout

Discovery

Align on the problem, success metrics, constraints, and data readiness before writing code

Strategy

Define architecture, integration points, security approach, and an incremental rollout plan

Development

Iterative delivery with testing, performance tuning, and clear milestones for stakeholders

Deployment

Production hardening, monitoring, and support—plus a handover your team can operate

LATEST INSIGHTS

Practical notes from shipping AI, data, and software systems in the real world

View All Articles

IoT Aug 1, 2026

What is OEE? The Complete Guide to Overall Equipment Effectiveness for Manufacturers

OEE (Overall Equipment Effectiveness) is manufacturing's gold-standard metric for measuring how productively equipment is actually used. Calculated as Availability × Performance × Quality, it reveals the true cost of downtime, speed losses, and defects. This guide explains the formula, benchmarks, Six Big Losses, and how to track OEE automatically using IoT sensors — no spreadsheets required.

Read Article

IoT Aug 1, 2026

How to Monitor OEE on Legacy Machines Without Touching Your PLCs

Most OEE monitoring guides assume you have modern, connected machines. The reality in 80% of Indian and global manufacturing plants is a floor full of legacy equipment with no digital outputs. This guide explains how to track OEE on any machine — CNC mills, hydraulic presses, injection molders — using non-invasive IoT sensors, without modifying a single line of PLC code.

Read Article

IoT Aug 1, 2026

The Six Big Losses in Manufacturing — And How Real-Time Monitoring Catches Every One

The Six Big Losses framework is the diagnostic backbone of every OEE improvement programme. It classifies every form of production loss into six categories across Availability, Performance, and Quality. This guide explains each loss type, how automated IoT monitoring detects them in real time, and which improvement techniques eliminate them — with practical examples from manufacturing floors.

Read Article

PLATFORMS WE DELIVER ON

We build and deploy across the major cloud and AI ecosystems—aligned to your standards and toolchain

AWS

Azure

Google Cloud

Docker

Kubernetes

TensorFlow

PyTorch

NVIDIA

FREQUENTLY ASKED QUESTIONS

Talk to an Engineering Lead

In 30 minutes, we’ll map your use case, data and integration needs, and outline a delivery approach with a realistic timeline. You can also explore our live edge AI and computer vision demos in the AdaptNXT Playground.

Schedule a Discovery Call

Clinic Management System

Industry 4.0 Assessment

AdaptNXT Technology Solutions - AI, IOT & COMPUTER VISION BUILT FOR PRODUCTION

AI FOR AUTOMATION AND
DECISION SUPPORT

INDUSTRIAL IOT FOR
VISIBILITY AND CONTROL

COMPUTER VISION FOR
QUALITY AND SAFETY