Machine Learning Models
Forecasting, classification and recommendation models trained on your own data, with clear accuracy measures and a plan for retraining as conditions change.
Services
An AI solutions company in India with solid cloud foundations.
VLK NEXA is an AI solutions company in India, based in Tiruppur and working with businesses across Tamil Nadu and abroad. We build machine learning models, chatbots, document automation and LLM applications, and we run the cloud underneath them. That means migration, architecture on AWS, Azure or GCP, DevOps and cost control, delivered by one accountable team.
At a glance
- AI that runs inside daily operations, designed to cut manual data entry and repetitive checking
- Cloud infrastructure designed to be secure, repeatable and easier to budget for
- Automated, reversible releases designed to bring changes to users with less risk
The problem
AI pilots stall and cloud bills climb
Many businesses have tried an AI demo that never reached daily use. Others moved servers to the cloud and now pay more for the same problems. The causes are usually the same: unclear business goals, scattered data, no deployment pipeline and nobody who owns the system after launch. AI and cloud need to be planned together, around a real process.
- Proofs of concept that impress in a meeting but never reach production
- Staff keying data from invoices, purchase orders and forms by hand
- Cloud invoices that grow every month with no clear owner or explanation
- Releases done manually, late in the evening, with no rollback plan
Our approach
How we work as your AI solutions company in India
We start with one process where AI can remove real effort, such as reading documents, answering routine queries, forecasting demand or checking images. We confirm the data exists and is usable before we promise a model. We then build the cloud foundation it needs: secure accounts, infrastructure as code, automated releases and monitoring. You see working software early in agile sprints, and you deal with a single point of contact throughout.
What you get
Six deliverables, one accountable team.
NLP, Chatbots and LLM Apps
Assistants that answer from your own documents and systems, using OpenAI APIs, LangChain and Hugging Face models, with guardrails and human handover where needed.
Document and OCR Automation
Extraction of data from invoices, purchase orders, forms and certificates, validated against your rules and posted into your ERP or accounting system.
Computer Vision
Image-based checks for production and warehouse settings. Fabric and defect inspection is one possible use, scoped with a pilot on your own samples first.
Cloud Migration and Architecture
Assessment, planning and migration of applications and databases to AWS, Azure or GCP, with security, backup and recovery designed in from the start.
DevOps, Cost Optimisation and Managed Infrastructure
CI/CD pipelines, infrastructure as code, monitoring and regular cost reviews. Managed support runs during business hours with agreed response times.
How we work
Four steps from idea to go-live.
- 01
Discovery
We review your processes, data sources and current infrastructure, then shortlist the AI use cases and cloud changes that are feasible with the data you actually have.
- 02
Strategy & Planning
We define success measures, choose the cloud platform and model approach, plan the migration order, and give you a fixed-scope or milestone-based quote.
- 03
Design & Build
We build in agile sprints: data pipelines, models, application interfaces and cloud environments, with working software early and results tested against your real examples.
- 04
Deploy & Scale
We go live with monitoring, train your team, track model accuracy and cloud spend, and extend to further use cases once the first is stable.
Industries
Where this service fits.
Manufacturing
Demand forecasting, document automation for export paperwork, and possible vision-based fabric and defect inspection for textile, knitwear and garment units.
Healthcare
Appointment and enquiry chatbots, extraction of data from reports and forms, and cloud hosting set up with access controls for sensitive records.
Retail
Product recommendations, sales forecasting and stock planning models, with cloud infrastructure designed to cope with seasonal peaks in traffic.
Logistics
Automated reading of delivery notes and invoices, route and load forecasting, and cloud platforms that connect tracking data across locations.
Technologies
Tools we work with.
- Python
- PyTorch
- TensorFlow
- OpenAI APIs
- LangChain
- AWS
- Azure
- GCP
- Kubernetes
- Terraform
Questions
Common questions, answered.
How much does an AI or cloud project cost?
The cost depends on scope, so we quote after a discovery phase rather than from a rate card. Pricing is fixed-scope or milestone-based, which means you know what each stage delivers before you commit. For AI work we usually recommend a small pilot on one use case first. For cloud, the quote covers our migration effort separately from the platform charges you pay the provider directly.
How long does a cloud migration or AI project take?
A single AI use case or a small cloud migration is usually planned in weeks, while a multi-system migration is planned in phases over several months. The exact timeline depends on the number of systems, the state of your data and how quickly decisions are made on your side. After discovery we give you a dated plan with milestones, and you see working software early in each sprint.
Do we need a custom AI model, or can you use existing tools?
Often an existing model or cloud service is enough, and we say so when it is. Many chatbot, OCR and document tasks work well with pre-trained models and OpenAI or Hugging Face APIs, configured around your data. We recommend a custom model only when your data or accuracy needs are specific, such as forecasting from your own sales history or inspecting your own products.
How do you keep our data secure in AI and cloud projects?
Your data stays in cloud accounts that you own, with access limited to the people who need it. We sign an NDA on request before seeing any data. We use encryption, role-based access and separate environments for testing and production. For LLM applications we agree in advance which data may be sent to external APIs, and we can use privately hosted models where that is not acceptable.
Can you work with us remotely, and what support do you give after go-live?
Yes, we work remotely with clients across Tamil Nadu, India and overseas, and meet in person in Tiruppur, Coimbatore and nearby districts when it helps. After go-live we provide training and managed support during Indian business hours, with response times agreed in writing. We do not claim round-the-clock cover. If you need extended hours, we discuss that during planning.
Other services
More from the same team.
- ERP SolutionsERP product selection, implementation and custom ERP development, with data migration, integration, training and support after go-live.
- Software & Web DevelopmentCustom business software, web applications, websites, mobile apps and integrations, built in agile sprints and supported after go-live.
- Digital TransformationAssessment, process re-engineering and automation that move paper, Excel and WhatsApp work onto connected systems your team will use.
- Business ConsultingTechnology-led advice for owner-managed firms. Process reviews, IT roadmaps, ERP selection and project governance.
- Data Analytics, BI & Snowflake SolutionsSnowflake warehouses, dbt modelling, ELT pipelines and Power BI or Tableau dashboards, built so every team reads one set of numbers.
- EdTech ERPOur ready-to-deploy ERP for schools, colleges and institutions. Five connected modules, deployed as-is or customised for each campus.
Free 30-minute consultation
Ready to put AI and cloud to work?
Book a free 30-minute consultation. Tell us the process you want to improve or the systems you want to move, and we will reply within one business day with sensible next steps.
No commitment required · Reply within one business day · NDA on request