SaaS development
Easital Technologies Ltd. designs, builds and operates software-as-a-service products, from the first paid version to a multi-tenant platform with billing, usage metering and support tooling. We also run subscription products of our own, so what this page says about tenancy, billing and AI cost comes from operating them.
SaaS development is the work of building software that many customers use over the internet from one shared system and pay for by subscription or by usage.
What separates it from other custom software is everything around the main feature. Each customer’s data has to stay separate from every other customer’s. Sign-up, plans, invoices, failed payments and cancellations have to work without a person stepping in. Whoever answers support tickets needs a way to see what the customer sees. A SaaS development company is hired for that surrounding system as much as for the feature itself.
Custom SaaS development makes sense when the product is the business, or when no existing tool fits the workflow you want to sell. When an off-the-shelf product covers the need, buying it costs less, and we say so during scoping.
Two narrower pages cover the first release: SaaS MVP development for the first paid version of a subscription product, and MVP development for web and mobile products in general.
Our SaaS application development services cover the product and the systems a subscription business needs around it.
Every record belongs to a tenant and every query is scoped to one. The rule lives in the data layer, so a filter forgotten on one screen cannot leak another customer’s data.
Sign-up, login, password reset, team invitations and roles, with permissions checked on the server for every request.
Plans, trials, upgrades, invoices, failed-payment retries and cancellation through a payment provider.
Counting what each account consumes (seats, minutes, credits or AI calls) and connecting the count to plan limits and the invoice.
Chat, generation, extraction, voice or agents inside the product, with cost per user measured from the first release. See AI development services.
The path from sign-up to the first useful result: guided setup, sample data and emails triggered by what the user has done.
An internal console to find an account, see its plan and usage, view the product as that user and issue a refund.
Separate environments, automated deploys, backups with tested restores, monitoring, alerting and error tracking.
A SaaS build runs in seven steps. Tenancy and billing are decided early because they are the most expensive things to change later.
We write down who pays, what they pay for and what the first version must do for them. Other features go on a later list.
How tenants are separated, what a team and a seat are, and which records belong to whom. This is settled before feature work starts.
The one path that delivers the paid outcome, working end to end with real accounts and real data. The first paid version built around this path is covered on the SaaS MVP development page.
Plans, limits and usage counters go in while the product is still small, so that a price change is a configuration change and not a code change.
The first-run path for new users and the internal console for the people who support them.
Release to a first group of customers with error tracking, alerts and dashboards for activation, usage and cost per account.
Usage data, support tickets and cancellation reasons decide what is built next. We keep operating the product or hand it over with documentation.
Easital runs three subscription products of its own and built a fourth for a client. Each shows a different part of SaaS engineering in production.
Easital product
Built and run by Easital
A subscription product built around one job: a screen recording goes in, and a how-to video, a written guide and a share page come out. Easital runs all of it: a Chrome extension, a web app and a media pipeline.
Easital product
Built and run by Easital
An AI workspace and a two-sided marketplace in one subscription product: AI chat, an agentic code editor, a cloud sandbox and one-click deployment, next to listings from sellers and freelance developers.
Easital product
Built and run by Easital
One dashboard for building a website, creating content, automating marketing and supporting customers, sold by monthly subscription to small teams that sell online.
Client project
Built by Easital for a client in the United States
A voice-agent platform on which each business builds and manages its own agents, numbers and campaigns from one dashboard. Customers get a recording, a transcript and a summary of every call.
Multi-tenancy means one running system serves many customers while keeping each customer’s data apart. There are three common models. The choice depends on how strict the separation must be and how many tenants you expect.
| Shared database, tenant ID on every row | Schema per tenant | Database per tenant | |
|---|---|---|---|
| Isolation | Enforced by query rules and row-level policies | Stronger: each tenant has its own tables | Strongest: each tenant has its own database |
| Running cost per tenant | Lowest | Moderate | Highest |
| Operations | One schema to migrate | Each migration runs once per tenant | Backups, migrations and monitoring per tenant |
| Fits best | Many small accounts on self-serve plans | Fewer, larger accounts | Customers whose contracts or regulators require separate storage |
Whichever model is chosen, the tenant boundary should be explicit from the first table. A product can then start on a shared database and move one customer to a dedicated one when a contract calls for it.
Running StepVideo, Manob.ai and mAutomate has shown us where a SaaS product takes more work than planned: billing edge cases, metering, the running cost of AI features and support.
Easital has built LLM token-cost optimization for AI products. It is offered on its own as LLM cost optimization.
SaaS development cost is driven by scope more than by the number of screens: how many roles there are, how billing works, how many outside systems are connected and how much AI the product runs per user. We do not publish a price list. A quote follows a scoping conversation.
| Cost driver | Why it moves the cost | How to keep it down |
|---|---|---|
| Roles and permissions | Each role multiplies the cases to build and test | Start with owner and member; add roles when a customer needs them |
| Billing model | Usage-based and hybrid pricing need metering and reconciliation | Launch with simple plans and keep limits in configuration |
| Integrations | Every outside API adds failure handling and upkeep | Connect only what the paid outcome depends on |
| AI features | Model, speech and compute fees recur with every use | Measure cost per user early; cap or meter usage |
Running cost is a separate budget: hosting, payment provider fees, AI usage, monitoring and support. For a product with AI features, the running cost per active user is the figure to watch.
The stack is chosen per product and listed here by category. No part of it is tied to one vendor.
AI features can run on any major commercial model provider or on open-weight models. The choice is made per feature on quality, speed and cost per user, and it can change as models and prices move.
There are three ways to engage Easital for SaaS work: a finished product, more engineers or an assessment of what you have.
We take the product from scope to launch through the seven steps above, then hand it over or keep operating it.
Best for: founders and companies with a defined product and a budget for a first version.
Engineers from Easital join your team and work in your repository, backlog and review process. See offshore software development for how we work across time zones.
Best for: SaaS teams with a roadmap and too few hands.
A code audit of tenancy, access control, billing logic and AI cost, with fixes listed in priority order. For products first built with AI coding tools, see vibe coding rescue.
Best for: products that work today and are hard to change or expensive to run.
A SaaS development company designs, builds and often operates software that customers subscribe to. Beyond the product’s main feature, the work covers multi-tenant data design, accounts and permissions, subscription billing, usage metering, onboarding, admin tooling and the infrastructure the service runs on.
Start with one type of customer and one outcome they will pay for. Decide how tenants are separated, build the single workflow that delivers the outcome, add billing and usage limits, then release to a small group and measure what they do. The first paid version is covered in detail on the SaaS MVP development page.
The main drivers are the number of roles and permissions, the billing model, the number of integrations and the amount of AI the product runs per user. Easital does not publish prices. We quote after a scoping conversation.
Custom SaaS development means building a subscription product to your own specification instead of configuring a white-label or no-code platform. It costs more at the start and removes the limits a platform puts on your data model, pricing and integrations.
They add a running cost that grows with use. Every AI request costs money in model, speech or compute fees, so pricing has to account for it through credits, minutes or caps. They also add quality work: testing outputs against real examples before release and monitoring them afterwards.
Yes. We start by reviewing the codebase, the data model, the billing integration and the deployment setup, and report what is safe to build on and what needs repair first. That review is also sold separately as a code audit.
Describe the customer, what they will pay for and what exists today. 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.