Software and AI products, built dot by dot.
NexaInfer is a software product development company in Dharmapuri, Tamil Nadu. We help companies in the United States plan, design, build and run web, mobile and AI products, from the first idea to the thousandth release.
NexaInfer is led by engineers with 20+ years of experience in software and product development. We have built products from the first line of code, scaled them to large audiences, and now bring the same discipline to our clients.
Before NexaInfer, our team built and scaled a large EdTech learning platform that served millions of students. We know what it takes to keep a learning product fast, reliable and easy to use when students, tutors and parents depend on it every day.
We then started NexaInfer and built our own products. That is why we think like product owners: we care about outcomes for your users, not only tasks delivered.
See how we apply it in our AI solutions and our proprietary load balancer and middleware.
EdTech is where our experience runs deepest, but our skills are not limited to it. We build in any domain, and we design the architecture to scale from a startup launch to millions of users.
Where our experience is deepest.
Discovery, design, engineering and release, led by people who have shipped and grown real products.
Systems designed for high traffic, with load testing and monitoring so speed holds as usage grows.
Practical AI features inside real products, from assistants to search over your own documents.
Dedicated teams, modernization and support for companies that need dependable engineering capacity.
Security-first architecture, access control and monitored systems that are built to stay available.
Tutoring, learning platforms, assessments and parent communication, understood from the inside.
Every product needs three kinds of work. We cover all of them, so you work with one team from idea to growth.
Decide what to build and how it should feel.
We turn an idea into a scoped plan: user problems, core features, an MVP boundary, a roadmap and an honest estimate.
Requirement workshops, User stories and acceptance criteria, MVP scope and roadmap, Technical feasibility
Clickable prototypes you can test with real users before a line of production code is written.
User flows and wireframes, High-fidelity UI in Figma, Design systems, Accessibility (WCAG 2.2)
Engineer the product in short, visible sprints.
Fast, secure web products with clean APIs, from customer portals to multi-tenant SaaS platforms.
React and Next.js frontends, Node.js and Python backends, REST and GraphQL APIs, Payments, auth and admin panels
iOS and Android apps from one codebase, published to the App Store and Google Play.
React Native and Flutter, Offline support and push notifications, App store release management
Practical AI features that save your users time: assistants, search over your own documents, recommendations and insights.
LLM features with OpenAI, Claude and Gemini APIs, Retrieval over your data (RAG), Recommendations and analytics, Evaluation and cost control
Keep the product fast, safe and improving.
Infrastructure that deploys on every merge and tells you when something is wrong.
AWS, Azure and Google Cloud, CI/CD pipelines, Docker and Kubernetes, Monitoring and alerts
Testing built into every sprint, so releases are routine instead of risky.
Manual and automated testing, End-to-end tests with Playwright, Performance and load testing, Cross-browser and device testing
Secure coding, access control and data handling designed in from the start.
OWASP Top 10 practices, Role-based access and audit logs, Encryption in transit and at rest, Privacy-aware design for student and customer data
After launch we stay: bug fixes, upgrades, new features and help for your users.
Monthly support plans, Dependency and security updates, Feature enhancements, Legacy app modernization
Every AI product starts the same way: scattered dots of data, documents and user questions. We connect them into tools that reason, explain and help people decide.
Our home ground. AI that helps students learn, tutors teach and parents follow progress.
Guides a student through a problem one hint at a time instead of giving the answer, and checks each step they write.
Creates practice sets, quizzes and answer keys mapped to Common Core or state standards such as TEKS, at the right difficulty.
Gives rubric-based feedback on grammar, structure and argument, so students can revise before a teacher grades.
Finds the skills a student is missing from their answers and builds the next lesson around those gaps.
Transcribes a tutoring session, summarizes what was covered and drafts homework and a note for parents.
Turns scores and attendance into a short weekly report a parent can read in a minute, in English or Spanish.
These are solutions we design and build for clients. Have a different idea? Tell us about it.
Like a kolam drawn without lifting the hand, the work moves in one continuous line. You see working software at every step.
1 to 2 weeks
Workshops, goals, users and a scoped MVP with a written estimate.
2 to 4 weeks
Wireframes, prototype and UI you approve before we build.
2-week sprints
Working software every sprint, with a demo you can click.
Every sprint
Automated and manual testing, plus your own acceptance testing.
Release week
Production deployment, monitoring and app store release.
Ongoing
Support, analytics and the next set of features.
For Nexyra Solutions LLC, United States
NexaTutor is an online 1-on-1 tutoring platform for K-12 students in the US, covering math, English, science, reading, writing and test prep, with personalized plans and progress reports for parents. NexaInfer is its product engineering team in India.
Visit nexatutor.comProven, well-supported tools, chosen for your product rather than our habits.
NexaInfer has built its own load balancer and middleware layer in-house. It is proprietary technology, designed to keep products fast and stable when many people are online at once.
We tailor it to each product. Technical details are shared with clients under NDA. Talk to us about high-traffic systems.
Pick the model that fits your stage. You can switch as the product grows.
| Detail | Dedicated team | Fixed-scope project | MVP sprint |
|---|---|---|---|
| Best for | Ongoing products with a changing roadmap | Clear requirements and a fixed budget | Testing a new idea quickly |
| How billing works | Monthly, per team member | Milestone payments | One fixed price |
| Typical team | Developers, QA and a project lead | Sized to the project | Designer and 2 to 3 engineers |
| Typical length | 3 months and longer | Depends on scope | 6 to 10 weeks |
| Change requests | Reprioritize every sprint | Through a change order | Within the sprint scope |
Connecting dots into intelligence
From the first data point to the final answer, we draw the line that makes it make sense.
Every morning across Tamil Nadu, doorsteps are marked with a grid of dots, called pulli, and a single line is drawn around them to make a கோலம் (kolam). The dots on their own mean little. The line that connects them makes the pattern.
Software works the same way. Requirements, data and user needs are the dots. Good engineering is the line that turns them into a product people rely on. Our name says it too: Nexa for what comes next, Infer for reasoning from what we know.
NexaInfer Software Private Limited is registered in Dharmapuri, Tamil Nadu, and builds for clients in the United States. Learn more about our engineering team.
We are building a software team in Dharmapuri, so local engineering talent can do world-class product work without moving to a metro city.
We are interested in hearing from:
Send your resume to nexainfer@gmail.com.
Yes. All code, designs and documentation created for you belong to you, and this is written into our agreement.
Yes. We sign a mutual NDA before you share detailed product information.
We plan a daily overlap with your business hours for calls and reviews. Work continues during your night, so you often wake up to progress.
It depends on scope. After a short discovery call we send a written estimate with options, for example a smaller MVP first.
Yes. We start with a code and infrastructure review, then fix the urgent issues before adding new features.
Yes. Our team has built and scaled an EdTech platform that served millions of students, and we have built our own load balancer and middleware, designed for high concurrent traffic. We plan for scale from the architecture stage and check it with load testing.
No. EdTech is where our experience runs deepest, but we build in any domain, from SaaS and business tools to AI-first products. The architecture is designed to grow from a first launch to millions of users.
We invoice in US dollars. Payments are received through regular international banking channels.
We reply within one working day with next steps, usually a short call and an NDA. Talk directly to an engineering team with 20+ years of experience in software and product development.