Easital product
StepVideo
Built and run by Easital
A product built around a single job: one screen recording goes in, and a how-to video, a written guide and a share page come out. It is sold by subscription.
SaaS MVP development
SaaS MVP development: the first version customers pay for
Easital Technologies Ltd. builds SaaS MVPs: the smallest version of a subscription product that a customer can sign up for, use for its main job and pay for. We decide with you what goes in, what is left out on purpose and how an AI feature changes both the scope and the running cost.
What a SaaS MVP is
A SaaS MVP is the first version of a subscription product that real customers can pay for. It does one job well enough that someone would rather pay for it than go without.
The word that matters is paid. A clickable prototype shows whether people understand the idea. An MVP shows whether they will pay for it, and that can only be tested with a working product, real accounts and a payment form.
An MVP is small in scope, not low in quality. The parts it does have, above all login, data separation and payments, are built to production standard, because they are the hardest to redo once customers depend on them. Products that are not subscriptions, and mobile-first products, are covered on the MVP development page.
What goes in and what stays out
The first paid version contains one workflow, accounts, payments and enough operations to run safely. Everything else goes on a written list and is left out on purpose.
| Area | In the first paid version | Deliberately left for later |
|---|---|---|
| Core feature | One workflow that delivers the paid outcome, end to end | Secondary workflows and rare edge cases |
| Accounts | Sign-up, login, password reset, one owner per account | Fine-grained roles, single sign-on, team hierarchies |
| Tenancy | Every record scoped to an account from the first table | Dedicated databases for individual customers |
| Billing | One or two plans through a payment provider, with a trial or a free tier | Usage invoicing, coupons, annual contracts, multiple currencies |
| Onboarding | A first-run path to the first useful result | Product tours and email sequences |
| Admin | A simple internal view of accounts and usage | A full support console with refunds and impersonation |
| Operations | Staging and production, backups, error tracking | Autoscaling, multi-region hosting, uptime reporting |
| Clients | A responsive web app | Native iOS and Android apps |
The left-out list is part of what we deliver. It records what was postponed and why, so later work starts from decisions and not from guesses.
What you get from a SaaS MVP build
A SaaS MVP build ends with six things in your hands, not only a link to a running app.
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A written scope
The customer, the outcome they pay for, the one workflow and the postponed list, agreed before any code is written.
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Source code you control
The product in a repository you can access from the start, with setup instructions and a deploy script.
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Accounts and data separation
Login and a tenant-scoped data model, with access rules enforced on the server and tested as two different users.
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Working payments
Checkout, plan change and cancellation through a payment provider, tested in the provider’s test mode and with one live transaction.
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A production environment
Hosting, a staging copy, backups, error tracking and your domain.
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Usage tracking
Events for sign-up, activation and the core action, so you can see what the first customers do and where they stop.
How a SaaS MVP build runs
A SaaS MVP build runs in seven steps. The second step, cutting scope, has the largest effect on cost and on how soon customers see the product.
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Name the customer and the paid outcome
One type of customer and one result they would pay for. If two audiences are in play, we pick one for the first version.
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Cut the scope
Every feature that has been discussed is sorted into three groups: needed for the first payment, needed soon after, and not needed yet. Only the first group is built.
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Design the data model
Accounts, users, the records of the core workflow and how each one is tied to its account. Plans and limits are modeled as data.
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Build the workflow, then accounts and payments around it
The core workflow comes first, because it is the part most likely to change after people use it.
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Test with target users
A few people from the target group use the product with their own data before sign-up opens. We watch where they stop and fix that first.
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Launch and measure
Sign-up opens. The tracked events show how many accounts reach the core action and how many pay.
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Decide what comes next
With usage data in hand, the postponed list is sorted again. The wider system a growing product needs is described on the SaaS development page.
Proof from our own work
Two of Easital’s own products and one client project show what a focused product looks like once it is live.
Easital product
Manob.ai
Built and run by Easital
An AI product with one clear path through it: a user starts from a starter kit, changes it by prompt, previews it in a cloud sandbox and deploys it in one click.
Client project
Calldone
Built by Easital for a client in the United States
A visitor can talk to a live voice agent in the browser before signing up, which is the shortest path from the landing page to the product’s main job.
How AI features change the scope of an MVP
An AI feature adds things to an MVP that a conventional feature does not: a cost for every use, a quality question that ordinary tests cannot settle, and a dependency on an outside model provider.
The first decision is whether the AI is the product or one feature of it. If it is the product, we build a small evaluation set before the interface, because output quality is what customers will pay for. If it is a feature, the first version often ships with the simplest model call that works, and optimization waits until real usage shows where the cost goes.
| What changes | Why | What we add to the MVP |
|---|---|---|
| Cost per use | Every model request costs money, and heavy users cost more than light ones | Cost measured per request and per account; a cap or credit allowance on each plan |
| Output quality | The same input can produce different outputs, some of them wrong | An evaluation set of real examples, run before every release |
| Speed | A model call can take seconds | Streaming, background jobs and progress states in the interface |
| Provider dependency | Models change, are retired or become unavailable | One interface around the model call, so the provider can be swapped |
| Data handling | Customer content is sent to a third party | A plain statement of which provider processes what, and redaction where needed |
Our AI MVP development services use the same engineering as our larger AI work: agentic workflows, tool systems, voice and LLM token-cost optimization. See AI development services and LLM cost optimization.
A prototype from an AI app builder is not yet an MVP
A prototype made with an AI app builder is a good way to find out whether people understand an idea. It becomes a risk when it starts taking payments and holding customer data before anyone has reviewed its access rules.
Many founders now arrive with such a prototype. That is useful: it shows the screens and the flow far better than a document does. We treat it as the specification, check which parts are sound enough to keep and rebuild the rest to the standard in the table above. The service for taking an existing AI-built app to production is vibe coding rescue.
Technology for a SaaS MVP
An MVP uses a deliberately short list of parts. They are described by category and chosen per project.
- AI
- Hosted model APIs
- Speech-to-text and text-to-speech
- Evaluation set
Any major commercial model provider or an open-weight model. For a first version we take the one that passes the evaluation set at the lowest running cost, behind an interface that lets it be swapped.
- Product
- Responsive web app
- API
- Relational database
- Background jobs
- Operations
- Staging and production
- Backups
- Error tracking
- Product analytics
Ways to work with us
There are three ways to start, depending on how much is already decided and whether a prototype exists.
Fixed-scope MVP build
One written scope, one team and one launch. We quote once the scope is agreed.
Best for: founders with a defined customer and a first workflow in mind.
Scoping only
We run the first three steps with you and deliver the written scope, the data model and the postponed list. You can build from them with us, with your own team or with someone else.
Best for: founders who need to know what the first version is before raising or spending money.
Prototype to MVP
If you already have a prototype from an AI app builder or a freelancer, we review it, keep what is sound and rebuild what is not. The review is available separately under code audit services.
Best for: teams with a demo that works and is not ready for paying users.
SaaS MVP development: questions and answers
What is SaaS MVP development?
SaaS MVP development is the work of building the first version of a subscription product that customers can pay for. It covers scoping one core workflow, building it with accounts, data separation and payments, deploying it to production and measuring how the first customers use it.
What should a SaaS MVP include?
One workflow that delivers the outcome customers pay for, sign-up and login, data separated per account, a way to pay, a first-run path, a basic admin view, and a production environment with backups and error tracking.
What should be left out of a SaaS MVP?
Anything the first payment does not depend on: detailed roles, single sign-on, most integrations, native mobile apps, usage-based invoicing, and settings no customer has asked for. These go on a written list with the reason each was postponed.
What drives the cost of a SaaS MVP?
Scope. The main factors are the complexity of the core workflow, the number of integrations, whether there is an AI feature and how much evaluation it needs, and whether billing is flat or usage-based. Cutting scope is the main way to cut cost. Easital does not publish prices and quotes once the written scope is agreed.
How is an AI MVP different from a regular MVP?
An AI MVP has a running cost for every use, outputs that have to be checked against real examples, and a dependency on a model provider. The scope therefore includes cost measurement, a usage cap or credit allowance, and a small evaluation set, even in the first version.
Is the MVP thrown away later?
No. A prototype is built to be discarded. An MVP built this way is the first version of the real product: the data model, tenancy and payments are designed to be extended, and the postponed list says what to add next.
Do you work with startups that have no technical co-founder?
Yes. In that case the written scope, the repository and the documentation matter more, because they are what a future technical hire will inherit. As a startup MVP development company we explain each technical decision in plain language and record it in writing.
Tell us about the first version you have in mind
Describe the customer, the one job the product does and whether a prototype exists. We reply by email with questions and a proposed first step.
Easital is an AI and SaaS engineering company that takes AI software to production, and runs AI products of its own. Founded in 2019.