SmartInvento
Our own multi-tenant inventory SaaS — tiered plans from free to enterprise, role-based access, multi-warehouse stock and analytics. Built, shipped and operated by us, which is the relevant evidence for product work.
Visit siteBangalore, Karnataka
EasyWork Solutions works with Bangalore startups and product companies as an external build team: shipping an MVP before the first engineering hire, or taking a well-defined workstream off a stretched in-house team. We are realistic about what we are good for in this market, and equally about what we are not.
EasyWork Solutions works with Bangalore startups and product companies as an external build team — shipping a focused MVP in roughly 8 to 12 weeks, or owning a defined workstream alongside an in-house team. It declines work where the engineering is the company's core differentiator, on the basis that such knowledge should stay in-house. Full IP assignment and source transfer are standard.
Bangalore has India's best engineering talent and its most competitive hiring market. The gap we fill is timing: you have a validated idea and eight months of runway, and a four-month senior hiring cycle is not compatible with that. Or your team is at capacity on the core product and the admin dashboard has been "next sprint" since March.
Those are both good fits. We take a defined scope, ship it, hand over documented code, and get out of the way.
A third fit is a workstream your team could do but should not. Internal tooling, an operations dashboard, a partner-facing portal, a migration — real work with genuine value that does not need to be built by the engineers who understand your core system best. Handing that outward is usually a better use of an expensive team than handing outward something that requires deep product context.
If your product is your core technical differentiator — a novel ML system, deep infrastructure, anything where the engineering *is* the moat — outsourcing it is usually a mistake regardless of who you hire. That knowledge needs to live in your team.
We would rather turn that work down than take it and watch you rebuild in a year. What we are good at is everything adjacent: the dashboards, the integrations, the customer-facing web layer, the internal tools — real work that has to be done well but does not need to be built by your most expensive engineers.
The failure mode when this line is ignored is predictable. The external team builds something that works, the founders cannot reason about it deeply enough to evolve it, and the first significant pivot turns into a rewrite. That outcome is bad for the client and, less obviously, bad for us — a rebuilt project is not a reference.
The most valuable thing we do on early-stage work is argue about scope. An MVP is not a small version of the product; it is the smallest thing that tests the one assumption your business depends on. Everything that does not serve that test is a cost you are paying to delay learning.
In practice that means cutting things that feel mandatory. Self-service onboarding when you have eleven pilot customers you could set up by hand. An admin panel when a database client and a careful person would do for two months. Role management when everyone at the customer has the same role today. Each of those is real work that can be added once the assumption survives contact with users.
What should not be cut is the part that is expensive to retrofit: the data model, authentication and tenancy boundaries, and enough instrumentation to know what users actually did. Those are cheap to get right at the start and disproportionately expensive later, which makes them exactly the wrong place to economise.
There are two workable arrangements and one that reliably fails. We can work inside your repository, your ticket system and your review process, which gives you maximum control and costs your engineers review time. Or we can own a separate service behind a defined API contract, which costs less coordination and gives you a cleaner boundary.
Across organisations the second usually works better, because the interface is explicit and disagreements surface as contract discussions rather than as review comments. The arrangement that fails is the ambiguous one — shared ownership of the same modules with no agreed boundary — which produces merge conflicts, duplicated logic and a quiet resentment that nobody raises until the retro.
Whichever we use, we agree it in writing at kickoff, along with who makes the call when a technical decision affects both sides. That conversation takes an hour and prevents most of the problems people associate with augmenting a team externally.
Anyone planning to raise should treat the contracting structure as a technical asset. Investor technical diligence will look for a clean IP chain: that everything in your codebase was either written by an employee under an assignment clause or by a contractor under a written assignment.
We contract with full IP assignment and source code transfer for exactly this reason. There is no residual licence, no dependency on us for hosting, and no component we retain rights to. Your repository, your infrastructure, your accounts.
The other thing diligence looks at is whether the system can be understood by someone who did not build it. That is a documentation question rather than a legal one, and it is why we treat schema rationale and decision records as deliverables. A clean IP chain over a codebase nobody can explain is only half of what a diligence process is actually testing.
We do not publish a price list, because a number given before understanding the work is a guess someone pays for later. These are the factors that actually move the figure — worth knowing before you compare quotes.
A specified scope prices predictably. An evolving one does not, so we work early-stage projects in short defined phases rather than pretending a fixed price on a moving target is honest.
Working inside your process costs your engineers review time and coordination. Owning a service behind a contract costs less on both sides, and the choice has a real effect on total cost.
Standard patterns — auth, billing, dashboards, integrations — are efficient to build. Genuinely novel functionality carries research time, and we would rather price that as exploration than as delivery.
Audit trails, data handling constraints and consent flows change the architecture rather than the interface, and they are far cheaper designed in than retrofitted after a pilot customer asks.
A clean handover ends the engagement. Ongoing iteration alongside your team is a different commercial arrangement, and it is worth deciding which you want before starting rather than after.
Our own multi-tenant inventory SaaS — tiered plans from free to enterprise, role-based access, multi-warehouse stock and analytics. Built, shipped and operated by us, which is the relevant evidence for product work.
Visit siteOur HR platform covering attendance, payroll, leave and the employee database with role-based access and analytics — a production system we run rather than a portfolio piece.
Visit siteA multi-year product with buyer management, order tracking, production planning and financial reporting, evolved with real users rather than delivered once and abandoned.
Visit siteOur hosting platform on Windows Server and IIS across multiple tiers — the source of our deployment, provisioning and infrastructure experience.
Visit siteWeb development is the process of designing, building, and maintaining the websites and web applications that run in a browser. It covers the visible interface (front end), the server logic and database behind it (back end), and the hosting, security, and performance work that keeps it online.
Learn moreMobile app development is the process of building software that runs on smartphones and tablets. It splits into native development (Swift for iOS, Kotlin for Android), cross-platform development (one Flutter or React Native codebase for both), and progressive web apps that run in the mobile browser.
Learn moreBusiness AI automation is the use of large language models and machine learning to complete tasks that previously required a person: answering repeat questions, extracting data from documents, drafting responses, classifying incoming requests, and routing work. It is most valuable where a task is high-volume, rule-heavy, and currently done by hand.
Learn moreUI/UX design covers two related disciplines. User experience (UX) design determines how a product is structured and how a person moves through it to complete a task. User interface (UI) design determines how each screen looks and behaves — layout, typography, colour, spacing, and interaction states.
Learn moreWe start by identifying the one assumption the MVP has to test, then cut everything that does not serve it. This conversation regularly reduces the quote, which is the point of having it.
Data model, authentication, tenancy boundaries and basic instrumentation are settled first, because these are the things that are cheap now and painful later.
Inside your repository and review process, or a separate service behind an API contract — decided at kickoff along with who arbitrates cross-cutting technical decisions.
A staging environment from week one and a working increment every two weeks, so a change of direction costs a fortnight rather than a quarter.
Enough analytics and logging to know what users actually did, because an MVP that ships without measurement cannot answer the question it was built to ask.
Full IP assignment, source and infrastructure transfer, and documentation good enough for a new engineer to deploy and extend without calling us.
These are the questions worth asking any vendor bidding for your work, ourselves included. A firm that answers them directly is telling you more than a client logo wall does.
Yes. We can work in your repository, your ticket system and your review process, or own a separate service with a defined API contract. The second usually works better across organisations because it keeps the interface explicit and reduces coordination overhead.
A focused MVP — one core flow, done properly — typically runs 8 to 12 weeks. Anything promised in four weeks is either a prototype being called an MVP, or something you will throw away. Both are legitimate; they just should not be confused with each other.
Yes. Full IP assignment and source code transfer, which is non-negotiable for anyone planning to raise. We would expect any investor's technical diligence to check this, and it should come back clean.
Usually self-service onboarding when you can set up early customers by hand, an admin panel when a careful person and a database client will do, and role management when every user at a customer has the same role. What you should not cut is the data model, auth and tenancy boundaries, and instrumentation — those are cheap now and expensive to retrofit.
Yes, and we have. If the engineering is your competitive advantage, that knowledge needs to be in your team regardless of who you hire. We would rather decline than deliver something you have to rebuild after your first real pivot.
We can. It gives you maximum control and costs your engineers review time. The alternative — us owning a service behind an agreed API contract — usually costs less coordination on both sides. We agree which at kickoff, because the ambiguous middle is what causes friction.
We build to the requirement your compliance adviser sets — audit trails, data handling constraints, consent capture, access controls. We do not certify compliance, because that describes your organisation rather than your code. Raising these before a pilot customer asks is considerably cheaper than after.
A clean handover genuinely ends the engagement — you have the code, the infrastructure and documentation sufficient for a new engineer to continue. If you would prefer ongoing iteration alongside your team that is a different arrangement, and it is worth deciding which you want at the start.
Last reviewed 2026-08-06 by the EasyWork Solutions team.