teJai Technologies
Start a conversation
Principles first. Products second. Money later.
teJai Technologies LLC is a family-built software studio creating products that bring clarity, protect human judgment, and serve real people. We build with trust, usefulness, and service at the center, because technology without those values can harm more than help.
the family studio
teJai Technologies LLC is built by a family: Mr. Tejas Thummala, Mrs. Lavanya Kunduru, and Dr. Sunil Thummala. We bring together technology, medicine, yoga, sport, and lived experience to build with the care we would want for our own loved ones. Our work begins with real problems, not trends.
We believe good products need the right foundation: compassion before cleverness, usefulness before vanity, honesty before shortcuts, and integrity even when no one is watching. These values come from our parents, our family, and the Indian/Vedic tradition of service, discipline, and respect for truth.
Money, recognition, fame, and luxury should never be the first drivers of work. When the work is honest, helpful, and grounded in dharma, success can come in its own time without becoming the reason we serve.
our center
We build for moments when people need clarity: a patient reading health signals, an umpire reviewing evidence, a family trying to remember what happened, or a team making a careful decision. AI is powerful, but it should stay humble enough to explain itself.
Happiness, honesty, and helping others belong together. That is not a slogan for us; it is the operating system of the family.
Mr. Tejas Thummala is the Founder & CEO/CIO of teJai Technologies LLC, as well as an emerging athlete, cricketer, yoga teacher, and technology enthusiast. Guided by a desire to make the world more joyful, useful, and fair, he brings curiosity, discipline, and compassion to the work of building technology that serves real people.
Mrs. Lavanya Kunduru brings engineering discipline, yoga wisdom, and a mother's clarity to teJai Technologies. Her influence keeps the work grounded in honesty, character, and care.
Dr. Sunil Thummala brings board-certified neurology, decades of patient care, and yoga discipline to teJai Technologies. His work centers dignity, clarity, and responsible technology.
company credo
Compassion, honesty, integrity, usefulness, and respect for truth must be visible in the product, the pricing, the privacy choices, and the support experience.
We build only when a product can support better judgment or make daily life clearer, calmer, safer, or more capable.
Revenue matters because useful products must survive, but it should follow trust, usefulness, and service, never lead them.
product constellation
Each product serves a specific human need. Together, they share one design philosophy: careful AI, clear interfaces, privacy-aware architecture, and respect for the person using the tool.
Flojas helps people turn health and fitness signals into clearer daily guidance. Coach teJai reads real patterns, keeps the user in control, and puts wellbeing before monetization.
Cricket Umpire helps umpires review difficult moments with frame stepping, shared capture, observer access, trajectory support, and optional AI analysis. It supports fair decisions without replacing human judgment.
Video Frame Lab helps reviewers inspect video carefully, frame by frame. It supports clearer decisions with visual filters, precise marking, review strips, and user-controlled clip export.
Symptom Journal helps people remember what happened, notice patterns, and explain their health story more clearly when memory alone is not enough.
Blood Pressure Unlocked helps people turn blood pressure readings into trends, graphs, statistics, backups, and clinician-ready reports while staying local-first and educational.
RakShield helps protect a phone when it is nearby but attention is elsewhere. Pickup Lock, Full Shield, PIN disarm, and local-first privacy make protection simple and visible.
Pupillometer is a focused tool for pupil-related capture and review workflows. It is designed for careful measurement, transparent limits, and privacy-aware use.
Applied AI Systems helps teams design products where AI must respect context, uncertainty, privacy, and human review from the beginning.
flagship proof, not the whole story
Flojas began with a family health crisis and a refusal to keep important signals unused. It is our clearest proof that teJai builds AI to serve, not impress. The same care now guides Blood Pressure Unlocked, RakShield, Cricket Umpire, Symptom Journal, Video Frame Lab, Pupillometer, and future tools.
The promise is simple and demanding: useful intelligence, clear limits, strong privacy, and control that stays with the user.
Explore FlojasPrivacy should be protected by architecture, not only promised by policy.
capabilities
Prompt contracts, structured outputs, confidence language, review screens, and fallbacks for when evidence is weak.
Flutter, modern web, Firebase, cloud functions, payments, activation codes, and deployment pipelines.
Frame-by-frame evidence, local-first storage, audit trails, export flows, and UI that makes uncertainty visible.
Marketing pages, onboarding, Play Store assets, privacy copy, and brand systems that feel consistent across products.
how we build
Before a product becomes beautiful, we define what must stay true. Every teJai product should have a clear source of truth, honest limitations, and privacy choices enforced by architecture.
No hidden agenda, no manipulative growth loops, no product choices that turn user trust into a resource to extract.
Data should read in seconds, not minutes. Interfaces should inform without overwhelming, and remove noise instead of decorating it.
Privacy should be built into how the system works: local-first when possible, intentional uploads, named processors, clear export and deletion paths.
Good AI can support a coach, a patient, an umpire, or a reviewer. It should never pretend weak evidence is strong evidence.
principles
These are not decorative values. They are product requirements. Every teJai app should make the user's life clearer, calmer, safer, or more capable.
Every product starts with the person on the other side of the screen. The goal is to reduce burden, not show off complexity.
Beautiful software still has to be useful. We prefer clear action, honest feedback, and tools that earn a place in daily life.
When evidence is weak, the interface should say so. When AI is uncertain, it should be visible. Trust is built in the details, not in marketing promises.
contact
We are especially interested in products where AI must respect context: health, coaching, review, evidence, workflow, and specialty tools. We want to build systems where doing the right thing is part of the architecture.