/01
AI SaaS products
Reasoning at the core
Multi-tenant platforms with AI built into the product itself — auth, billing, observability, and the model layer engineered as one system, not a chatbot bolted on.
Rosmox — AI software company
Rosmox builds AI products for Android and the web — on-device assistants, agentic systems, and the platforms behind them. Designed, engineered, and shipped by one team.
In development — BhashaLens · OrbitAI · Vidyālaya · Storely · EverythingProducts
Software we build for ourselves.
Five products, one team. Each started as a problem we had ourselves — built to hold up in production.
VISION · OCR
Indic OCR for printed and handwritten documents.
A smart OCR pipeline for accurate image-to-text conversion across regional language documents, built to handle scale.
Learn more about BhashaLens
ON-DEVICE · AI
Private AI chat and productivity on Android.
Local LLM chat, RAG, floating assistant mode, reminders, tasks, and automation tools that run privately on the device.
local.chat
rag.search
bubble.ai
tasks.run
Vidyālaya
Android · 2026
Offline textbooks for Indian school students.
Download textbooks once and read anytime with class-based organization, bookmarks, light and dark mode, and no accounts.
Storely
Android · 2026
Inventory, barcode scanning, and billing for stores.
Manage products, stock, suppliers, barcodes, bills, CSV or Excel imports, and local business records from one app.
Capabilities
Four disciplines. One company.
Strategy, design, and engineering under the same roof — no sub-contracting, no hand-off gaps. That's why the work feels coherent end-to-end.
/02
Agentic AI systems
Tools that act
Tool-using agents wired into your stack — research, operations, support — with guardrails, evals, and traces, so you can see exactly what they did and why.
/03
Android apps
Native, offline-first
Kotlin and Jetpack Compose builds that feel native because they are — Play Store-ready, offline-first where it matters, including on-device AI.
/04
Web platforms
Fast and findable
Marketing sites that convert, dashboards that perform, storefronts that scale — semantic, accessible, and quick on real-world connections.
How we build
One brief in. A working system out.
Phase 01 / 04
The brief
You bring the problem and the constraints. One working session, no decks.
Phase 02 / 04
The plan
We break it into a system: scope, architecture, milestones — visible from day one.
Phase 03 / 04
The build
Design, engineering, and QA run in parallel — a staging URL from week one, and humans owning every decision that matters.
Phase 04 / 04
The ship
Launch, monitor, iterate. We stay on for 30 days post-ship to make sure it lands.
Principles
Principles, not promises.
No vanity metrics, no borrowed logos. The rules we build by — and the products that prove them.
/01
Production over demos
Everything we show is built to run — tests, evals, traces, and monitoring behind every feature, not a staged screen recording.
/02
Private by default
Our AI runs on the device when it can. Data stays with the user unless they choose otherwise — no accounts required to start.
/03
Fast is a feature
We budget performance like scope — cold start, first paint, battery. If it isn't fast on a mid-range phone, it isn't done.
/04
Humans own decisions
Agents do the work. A person is accountable for every output that ships.
Let's build something people use.
Tell us about the project. We respond within one business day.