Most SaaS builds fail by being too big before anyone has paid for them. We build the smallest version that a real customer will pay for, multi-tenancy, billing, and onboarding done properly from day one, because those three are expensive to retrofit, and then we build the rest against what you learn.
Fixed scope, fixed price · We don't take equity · Your repo and your cloud, from day one
What founders plan for v1
What v1 actually needs
The right-hand list ships. The left-hand list is a roadmap, built against paying customers rather than assumptions.
Trusted by teams in the US, UK, and India
Siddhraj
Unoloft
Kofeko
3nStar
Veda
Cerata
Shubham
Consultup IndiaSiddhrajUnoloftKofeko3nStarVedaCerataShubhamConsultup IndiaSaaS attracts more mismatched enquiries than anything else we do. Here's who this page is written for.
You already run the process for clients. You know the domain better than any founder building it from the outside, you have customers who'd pay for a self-serve version, and you have revenue funding the build. This is the best-fit engagement on this page, the risk that usually kills SaaS, not knowing whether anyone wants it, is largely already answered in your case.
You have money allocated, a clear idea of the first customer, and you need engineering rather than a co-founder. We'll push you toward a smaller version one than you're planning, and that's the value, not an inconvenience.
You have customers and a platform that's become the constraint, unmaintainable, slow at your current volume, or abandoned by a previous team. We audit honestly and give you a fixed price for either fixing or rebuilding.
We're the wrong firm, and we'd rather say so now than after three calls. We don't take equity, we don't defer payment against future funding, and we don't act as a technical co-founder. Those arrangements need someone whose incentives are tied to the outcome for years, that's a CTO or a technical co-founder, not an agency. If you're at that stage, the honest advice is usually: get to a paying customer with no-code first. Bubble, Softr, Airtable, and a Stripe payment link have carried more early SaaS products to first revenue than any custom build. Come back when you have customers and something to protect, we'll still be here and the project will be better.
We build software for a fixed fee. We're very good at that, and it isn't the same thing as being your technical co-founder.
Turning a service you already deliver into software your clients use themselves. The domain logic already exists in how your team works, the job is encoding it, wrapping it in multi-tenancy and billing, and making it usable without you in the room.
Best for: agencies, consultancies, and professional-services firms with a repeatable process and clients who'd pay for self-serve.
The smallest version a real customer will pay for. Multi-tenancy, billing, and onboarding built properly from day one because retrofitting them is expensive; everything else deferred until customers tell you which parts matter.
Best for: funded teams with a clear first customer and the discipline to ship small.
An existing platform that's become the constraint, or one a previous team abandoned. We audit the codebase, architecture, security, and tenancy model, then give you a written assessment and a fixed price for salvaging or rebuilding, and you can take that assessment elsewhere.
Best for: you have paying customers and a codebase you're afraid of.
A working platform straining at current volume: slow queries, ballooning infrastructure bills, noisy-neighbour problems between tenants, or an architecture that assumed ten customers and now has four hundred.
Best for: growth has outpaced the original architecture.
If the software is for your own organisation rather than for sale to customers, web applications is the better-fitting page, same engineers, same stack, different concerns and a different price.
Almost everything in a SaaS platform can be added later. These six can't, or can only be added at many times the cost.
How customer data is separated, row-level, schema-level, or database-level, is an architectural decision, not a setting. Changing it later means migrating every customer's data while they're using the system. We make this decision explicitly with you, in writing, before anything is built.
Subscriptions, tiers, seats, usage metering, trials, proration, upgrades, downgrades, failed payments, and dunning. Most billing pain comes from a model that assumed one flat plan. Build the shape of your pricing now, even if you launch with one tier.
If a human has to set up each account, you don't have SaaS, you have a service with a login. Self-serve signup, sensible defaults, and a first-run experience that reaches value without a call. This is the single most common gap in an otherwise finished platform.
Who did what, when, in which tenant. Your customers' security reviews will ask, enterprise deals will require it, and reconstructing history retroactively is impossible, the data was never captured.
Owner, admin, member, read-only, and whatever your domain needs. Bolting a permission model onto an application that assumed everyone can do everything is one of the most expensive retrofits there is.
Error tracking, performance monitoring, and per-tenant logging from day one. When a customer reports something broken, the difference between a fix in an hour and a fix in a week is entirely whether you can see what happened.
Where a feature genuinely needs judgement rather than rules, routing, classification, drafting, that's an AI agent inside one step. It's worth being sceptical of AI features in a v1: they're rarely the thing customers first pay for, and they're rarely the reason they leave.
That's the most useful thing a first call can settle. Tell us what you're building and who the first customer is, and we'll tell you what we'd cut, including if the honest answer is that you should validate with no-code before spending anything on engineering.
Book a discovery callThese repeat with remarkable consistency, and only one of them is technical.
Eighteen months of development, a feature list built from assumptions, and a launch to an audience that turns out to want something adjacent. The money is gone and the learning hasn't started.
What prevents it: a version one scoped to the single thing a named first customer will pay for, shipped in weeks, with everything else on a roadmap built against real usage. We will argue with you about scope, and that argument is most of the value.
Built as a single-customer application, then adapted when the second customer arrived. Now tenant data separation depends on every query being written correctly, and one missed filter is a breach that ends the company.
What prevents it: the isolation model is decided and documented before the first line of application code, and enforced at the data layer rather than by developer discipline.
A flat subscription hard-coded, then the pricing changes, as it always does, and every plan change, upgrade, proration, and failed payment becomes manual work. Revenue leaks quietly and nobody notices for two quarters.
What prevents it: billing built around the shape of your pricing rather than today's single tier, with plan changes, metering, and dunning handled by the system from the start.
Signup works, and then a founder personally configures every new account. It feels fine at ten customers, it caps growth at fifty, and it makes the unit economics look nothing like SaaS.
What prevents it: treating first-run as a feature with the same weight as anything else, and testing it with someone who has never seen the product and gets no help.
The agency finished and moved on, or the contractor stopped replying. No documentation, no handover, undocumented infrastructure, and a codebase nobody can safely change while paying customers depend on it.
What prevents it: repository access from day one rather than on handover, documentation and runbooks as deliverables rather than promises, everything running in your own cloud accounts, and a monthly plan you can end at any time while keeping all of it. The point isn't that we'll never leave, it's that our leaving shouldn't be an event.
Four of these five are decided before any code is written. The fifth is decided by what's in your repository, not by how the relationship ends.
Here's something most development agencies avoid saying to founders: an agency cannot replace a CTO, and the gap between those two things is where a lot of SaaS money disappears.
We can make technical decisions well. We'll choose the architecture, the tenancy model, the stack, and the trade-offs, and we'll explain each one in language you can act on. What we can't do is hold the accumulated context of your product across years, sit in your strategy conversations, own the hiring, or make the hundred small judgement calls a week that come from being inside the business.
For a lot of engagements that gap doesn't matter. A productisation build for a services business with a clear process, or an MVP with a defined scope, works fine without technical leadership on your side, the scope is bounded and the decisions are ours to make within it.
It starts to matter when the product becomes the business. At some point you need someone technical whose horizon is years rather than a scope, and whose incentives are yours. That's a hire, and it's a good sign when it happens.
What we do about it: we build so that hire is possible. Conventional technology anyone can be recruited for. Documentation written for someone who wasn't there. Infrastructure in your own accounts. Architecture decisions recorded with the reasoning, not just the outcome. When your first engineer or CTO arrives, they inherit something legible instead of something they'll want to rewrite, and if they do want to rewrite it, we'd rather they told you honestly than that we'd made it hard to leave.
Any agency positioning itself as your permanent technical leadership is describing a dependency, not a partnership. Build so you can hire.
Conventional by design, so you can hire for it, and so a future CTO doesn't inherit something exotic.
Customer-facing analytics inside your product is its own piece of work, see custom dashboards for how embedded analytics with per-tenant isolation gets built.
Software that is your business: many customers, subscriptions, self-serve.
Software for your business, used by your own organisation. Same engineers, different concerns, usually a smaller project.
One team, one job, one screen.
Read-only visibility, including embedded customer-facing analytics inside a platform you already have.
Something happens without anyone opening anything.
People outside your organisation, clients, vendors, partners, self-serve. Different from SaaS: it's a service wrapper, not the product itself.
Honest answer: a fair number of "we're building a SaaS" conversations turn out to be an internal tool the client wants to eventually sell. Build the internal version first, run your own business on it for a year, and productise what survives. It's cheaper, lower-risk, and the resulting product is better because it was used in anger before it was sold.
Fixed price, quoted in writing before we start. No hourly billing, no equity, no deferred payment against future funding.
Version one scoped, built, and launched: multi-tenancy, billing, onboarding, and the core feature set. Includes the first month of monitoring.
Fixed price, quoted after the scoping call
Good for: the two best-fit buyers described above.
We assess an existing platform, codebase, architecture, tenancy model, security, infrastructure, and give you a written report plus a fixed price for fixing or rebuilding. The report stands alone and you're welcome to take it elsewhere.
Fixed price after a short audit
Good for: you have customers and a platform you don't trust.
Monitoring, security and dependency updates, and a set amount of feature work each month against a roadmap you set. Ends whenever you like, and you keep everything.
A monthly plan sized to your platform
Good for: post-launch, before your first engineering hire.
Every build includes monitoring for the first month. After that it's a monthly fee, see what that covers, and you can stop any time, you keep the repository, the infrastructure configuration, and the documentation either way.
Book a 30-minute call. We'll tell you what belongs in version one, what we'd cut, and give you a fixed price, or tell you honestly that you should validate it with no-code before spending anything on engineering.
