Interface
Interactive assessment and exploration UI
TechM4Solutions · Software division
We build the softwareyour work runs on.
TechM4Solutions designs and builds software products, applications, AI solutions and digital experiences. What you get is working software in the hands of the people it was made for, from one team that carries it from the first brief through to release and support.
Engine
Interest mapping and recommendation models
Intelligence
Assistants, agents, analytics
Roadmaps
Curated domain, skill and education pathways
Interface, services and data describe modern cloud platform architectures. Intelligence is a TechM4Solutions discipline integrated across the stack.
Explore TechM4SchoolsDelivery sheetTM4S / 03
Starts withA conversation about the brief
Delivery record
Fourteen companies and counting.
Products, apps, websites, AI projects and custom software, designed and delivered for companies, schools and institutions. Client names stay private until a client asks to be named.
We are the software division of TechM4India. We design, build and ship products, apps, AI systems and enterprise software, and we stay for the support after release.
Call us now+91 63018 14246
14+Companies helped with design and development
- 6+Apps delivered
- 2+School websites delivered
- 2+AI projects
- 4+Custom software projects delivered
Delivery figures from TechM4Solutions. Project references are shared on request.
Capabilities
Six disciplines, one team.
Most projects draw on two or three of these, which is why they sit under one roof and one point of contact.
Capability 01
AI and agentic AI solutions
Systems that help a team see patterns, answer questions and act with more context.
- AI assistants and chatbots
- Agentic AI systems
- Document processing
- AI knowledge bases
Schematic · agent loop
ObserveDecideAct
The TechM4Solutions edge
Practical engineering. Measurable delivery.
- 01
Research-driven
Long-term solutions built on R&D, not a template.
- 02
AI-first
Automation, intelligence and prediction designed in from the start.
- 03
Enterprise architecture
Built for scale, security and reliability from the first component.
- 04
Cost-efficient delivery
Lean engineering processes that keep quality high and overheads low.
- 05
A long-term partner
From the first idea to the prototype, the release and the growth after it.
Illustrative scenes
The stack, as used
Named where the work already uses them.
Only technologies named in our own products, roles and repositories. The tools for your project are chosen after the brief, not before it.
Interface
This website and digital applications; Android in the FoodSpectra concept
- React
- TypeScript
- Vite
- Tailwind CSS
- Android
Services and data
Backend services and data platforms; FastAPI and SQL in AI engineering; TimescaleDB and InfluxDB in device concepts
- Node.js
- TypeScript
- PostgreSQL
- FastAPI
- SQL
- TimescaleDB
- InfluxDB
AI and ML
The AI engineering role, and the model designs for the AcoustiCast, FoodSpectra and ITCMax concepts
- Python
- PyTorch
- MLflow
- XGBoost
- 1D-CNN
- MobileNetV3
- PLS-DA
Devices and edge
The IoT engineering role, and the sensor designs for the AirGuard Pro and AcoustiCast concepts
- Arduino
- Raspberry Pi
- MQTT
- ESP32
- STM32
- RTL-SDR
Selected work
What we have built, and what is next.
One system that is built and running, two school platforms and four product concepts. Every entry says which it is. Open one to read the problem it addresses and how it works.
Featured platformBuilt
CareerBuddy
AI-driven career discovery for schools.
A focused assessment and guidance platform helping students identify strengths and map out actionable learning paths.
The problem. School students are asked to choose subjects and streams before they have a clear view of their own strengths and interests.
Built with. Next.js, TypeScript, Tailwind CSS, Python
Running software, built by the team.
Explore TechM4SchoolsKey platform capabilities
- Aptitude assessment
- Stream selection
- Career roadmaps
- Mentor feedback
- Skill gap analysis
- College exploration
Integrated with TechM4Schools innovation programs and partner institutions across India.
Illustrative education scene Connect students → programmes School platformSchool innovation platform
SchoolOS
The problem. A school running several innovation programmes has no single place to manage them or to see how students are progressing.
How it works. A digital backbone for a school's innovation initiatives: programme management, student profiles, data insights and analytics, event management and collaboration tools.
A TechM4Schools platform. Availability for your school is confirmed on enquiry.
See it on TechM4Schools
- ULTRASONIC / LEAK DETECTIONAIR LINE / SENSOR / SIGNAL Concept visualization
Concept 01Product concept
AirGuard Pro
Industrial IoT
The problem. Compressed air leaks in pneumatic plants are hard to hear and easy to miss, and every undetected leak wastes energy.
How it works. Designed as an ultrasonic leak detector for compressed air lines: a software-defined radio front end listens for leaks, a machine learning classifier identifies them, and results are stored and shown in a web interface.
Proposed stack. RTL-SDR, ESP32, ML leak classifier, TimescaleDB, React
A product concept from the TechM4Solutions portfolio. Specifications are drafted; build status is shared on enquiry.
Ask about this concept - ACOUSTIC / SOLIDIFICATIONMOULD / EMISSION / ALERT Concept visualization
Concept 02Product concept
AcoustiCast
AI quality control
The problem. In a foundry, shrinkage defects inside a casting are usually found only after the part has been machined.
How it works. Designed to listen to the mould while the metal solidifies: acoustic emission sensors feed a neural network that flags likely solidification defects before machining starts.
Proposed stack. SM-24 geophones, STM32, 1D-CNN, InfluxDB
A product concept from the TechM4Solutions portfolio. Specifications are drafted; build status is shared on enquiry.
Ask about this concept - SPECTRAL / SAMPLE ANALYSISSAMPLE / SCAN / READOUT Concept visualization
Concept 03Product concept
FoodSpectra
Food technology
The problem. Food processors who suspect adulteration normally send a sample to a laboratory and wait for the result.
How it works. Designed as a handheld near-infrared device that screens a food sample for adulteration on site, paired with an Android app.
Proposed stack. AS7265x spectral sensor, PLS-DA, MobileNetV3, Android
A product concept from the TechM4Solutions portfolio. Specifications are drafted; build status is shared on enquiry.
Ask about this concept - RECONCILIATION / TAX DATAINVOICE / MATCH / ALERT Concept visualization
Concept 04Product concept
ITCMax
Finance software
The problem. Small businesses lose GST input tax credit when purchase records do not match supplier filings, or when a deadline passes unnoticed.
How it works. Designed to reconcile input tax credit for a business: a classifier flags mismatched entries, and alerts go out on WhatsApp.
Proposed stack. XGBoost, PostgreSQL, React, WhatsApp alerts
A product concept from the TechM4Solutions portfolio. Specifications are drafted; build status is shared on enquiry.
Ask about this concept
Demonstrations and project references are arranged on request.
Industries
Built for the sector, not just the screen.
Platforms shaped around the rules, the scale and the way work is actually done in each industry.
01 / 09
Education
- School management
- Learning platforms
- Skill development
Industry context / Food production
There is a real operation behind every data point.
From cultivation to material preparation, the details on the ground shape what useful agriculture and manufacturing systems need to account for.
Client-supplied reference photography. These are not TechM4India project images.
How we work
From brief to release, in five steps.
Five steps, each ending in something you can hold. Scope and schedule are agreed with you for each project; nothing here is a fixed timeline.
- 01
Understand
We start with the people, the constraints and the result you need, before any technology is proposed.
You receiveA written brief: the problem, the users, the scope and the open questions.
- 02
Design
Flows, screens and system structure are worked out together and reviewed with you until they are agreed.
You receiveInterface designs and a technical plan you can review and challenge.
- 03
Build
The software is built in increments, so there is always something working to look at and respond to.
You receiveRegular working builds and a running list of what is done and what is next.
- 04
Ship
We test, deploy and hand over, with the people who will run the system in the room.
You receiveThe released software and the notes needed to operate it.
- 05
Support
After release we stay available for fixes, changes and the next round of work.
You receiveA point of contact and an agreed way to raise changes.
Annex · Pay-and-use computer labs
Silicon Valley-level machines. Pay only for the hours.
Our labs feature Silicon Valley-level computer systems that run high-end software with ease. Walk in, work on a machine built for the job, and pay for your usage time, not for the hardware.
- 01
Silicon Valley-level systems
High-end machines for work that brings an everyday laptop to a halt: simulation, rendering, CAD and model training.
- 02
High-end software, ready to run
Demanding professional software runs with ease, so you spend the session working, not waiting.
- 03
Pay for usage time
Come to the lab, use what you need and pay for the time you use it. No hardware to buy, no machine to maintain.
How it works
- 1Tell us the work
The software you need and roughly how long the job will take.
- 2Book a system
We confirm a machine and a time that suit you.
- 3Come in and work
Use a high-end system at the lab for your session.
- 4Pay for the time
You pay for the hours you used. Nothing more.
Built to run work like this
- CAD, BIM and draftingDesign and documentation at full model size.AutoCAD · Revit · Civil 3D · SolidWorks
- Simulation and analysisStructural, finite-element and fluid analysis that needs real compute.ANSYS · STAAD Pro · ETABS · HyperMesh · MATLAB
- AI and dataTraining and testing machine learning models beyond what a personal machine can handle.Python · PyTorch · TensorFlow
- Electronics and embeddedCircuit, FPGA and embedded design toolchains.Altium · Vivado · Embedded C
Who it is for
- Engineering students with a simulation or design project
- Freelancers and studios with a heavy render or model
- Startups training or testing an AI model
- Researchers who need compute for a fixed period
System configurations, software availability, location and hourly rates are confirmed when you book.
Book lab timeBook a discovery call
Have a brief, or only a problem?
Either is a good place to start. Tell us who it is for and what has to be true when it works.
Projects, products and lab time all start with a short conversation about the people, the constraints and the result you need.
- Phone
- +91 63018 14246
- Address
- T-Hub, IIIT Hyderabad Campus, Gachibowli, Hyderabad — 500032, Telangana, India