Software and SaaS engineering that holds up in production .
Multi-tenant platforms, AI features, integrations, and the internal tooling that keeps a software company moving, built and operated by senior engineers who have shipped this exact kind of system for eight years.
Software companies don't fail because the demo didn't work. They stall when the system can't carry the next thousand users, the next integration, or the AI feature the roadmap promised. I build for the part that comes after the demo.
You are probably here because one of these is true
- You validated the idea on something quick, and now growth, security, or a real customer is exposing every shortcut in the original build.
- You need senior engineers on the roadmap now, not after a six-month hiring cycle, and not a junior team swapped in once the contract is signed.
- The roadmap promised AI, but retrieval quality, evaluation, and guardrails turned it into a science project no one can ship with confidence.
What we build for software companies
One senior team across the surfaces a SaaS business actually needs, from the customer-facing product to the tooling that keeps it running.
Multi-tenant SaaS platforms
Authentication, roles, billing, and tenant isolation built to hold up as you add customers, not patched in later.
AI product features
RAG systems, agents, and workflow automation with real evaluation and guardrails, run in production rather than demoed.
Prototype-to-production rebuilds
Moving a validated idea off Streamlit, Bubble, or a monolith into a system that scales without a year-long rewrite.
APIs, integrations, and webhooks
Connecting the tools your customers and your team already run, with the reliability an integration surface demands.
Internal tooling and admin
The ops, support, and data surfaces your team lives in, so the product team stops answering database questions by hand.
Platform modernization
Paying down the technical debt that makes every new feature expensive, without stopping the roadmap to do it.
What changes once it ships
- The system scales with the customer count, instead of the next big account exposing the architecture.
- The AI feature ships with confidence, backed by evaluation and guardrails rather than hope.
- Roadmap velocity holds, because new features stop fighting old technical debt.
- Your team owns a system it trusts, documented and handed over, not a black box only we understand.
Software we took to production
Real products serving real customers, with real dates attached. The spans matter as much as the outcomes.
From research prototype to production SaaS
Ailyze · SaaS · AI analytics
A qualitative research analyzer validated on Streamlit, rebuilt into a production SaaS with real user management, integrations, and a product UI research teams actually use.
A global platform that stays fast under load
ResInnov · Platform · Infrastructure
A global research platform losing users to slow loads and downtime, rebuilt for speed, mobile performance, and resilience. Then we stayed on for performance and security.
A custom portal the team actually uses
Setera · Custom software
A slow legacy portal replaced with custom software designed around how the business really operates: complex data flows, clean UI, no compromises.
How we engage
Custom software is not a list price; the system decides the cost. Most engagements start with a short paid discovery so the estimate is real.
Fixed-scope project
A defined problem with clear deliverables. We scope it, build it, and hand it over documented. Right for greenfield builds and well-understood rebuilds.
- →Clear deliverables and estimate
- →Documented handover
- →Full source, no lock-in
Embedded engineering team
Senior engineers inside your product cycle, on your codebase and in your tools. Right for ongoing development and products that are never fully done.
- →The engineers who scope also build
- →9am to 1pm PT daily overlap
- →Scale up or down month to month
Discovery & scoping
One to two weeks to map the system, surface the hard parts, and produce a build plan and a real estimate before anyone commits to the full build.
- →System and risk map
- →A real plan and estimate
- →No commitment to the full build
Why software teams stay with Shubpy
The offshore pitch sounds the same as ours until the project starts. Here is what is actually different once it does.
Questions software teams ask
The ones that come up on every first call, answered straight. If yours is not here, ask it live.
Book a strategy callDo you build for early-stage startups or established software companies?+
Both. The same senior team takes a validated prototype to a production SaaS and extends a mature platform that has outgrown its original build. The engagement model changes, the seniority of the people on it does not.
Can you take over an existing SaaS codebase?+
Often, yes. We start with an audit, tell you honestly what is worth keeping versus what should be rebuilt, and proceed from evidence rather than a rewrite pitch. We have moved products off Streamlit, Bubble, and early Django monoliths into systems built to scale.
How do you add AI features without it becoming a science project?+
We build AI where it earns its place: retrieval, workflow automation, and agentic features backed by real evaluation and guardrails, not a demo bolted on. We run our own RAG and orchestration systems in production, so we scope AI on what actually ships.
Will we own the code and be able to leave?+
Yes. Full source, clean repository, documented handover. You can keep us operating the system or take it fully in-house. We do not build dependencies you cannot leave.
How does working with an India team from the US actually work?+
Engineering is led from our India headquarters; partnership runs through our San Jose office with a 9am to 1pm PT daily overlap. Real-time collaboration when you need it, senior engineers at a rate that works, not a 12-hour lag.
Tell us what you are trying to ship
Thirty minutes with the engineers who would do the work. We will pressure-test the idea, flag the hard parts early, and give you the honest path to a working system, or tell you it is not us.