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SaaS development company · MVP to scale

SaaS development, from the first customer to the next round.

Multi-tenant products, billing, onboarding, analytics and the AI features customers now expect, built by a senior team that has shipped SaaS since 2016. One team can take you from MVP to a scaling product without a rewrite.

The short answer

What a SaaS development company should build in year one.

Every SaaS product needs the same foundations: tenant isolation, roles and permissions, subscription billing, onboarding, usage analytics and an admin console. Gigabit builds those first and builds them properly, because a rewrite at 50 customers costs more than the MVP did.

Two published engagements show both ends. A logistics SaaS MVP cost $48,000, shipped in 11 weeks, reached 14 paying customers and $19,000 MRR by month six, and its founder closed a $2.1M Series A four months after launch. A Series B HR tech SaaS added three embedded engineers at $14,400 a month and more than doubled its sprint velocity.

What we build

What we build into a SaaS product.

The parts customers see, and the parts your first enterprise security questionnaire will ask about.

Multi-tenant architecture

Tenant isolation, roles, permissions, audit logs and an admin console, designed so the first security questionnaire is routine.

Billing and plans

Stripe subscriptions with per-seat or usage pricing, trials, dunning and the invoices finance needs.

Onboarding and activation

Sign-up, workspace set-up, data import and in-product guidance that get a new account to its first result fast.

Analytics and reporting

Event tracking, customer health and in-app reports, plus the warehouse behind your MRR and churn numbers.

AI features

Copilots, semantic search, summaries and support agents inside the product, with evaluations and cost limits.

Enterprise readiness

SSO, SCIM, audit exports and SOC 2 groundwork when the first large customer asks for them.

How it runs

How a SaaS build runs.

01

Scope

Cut the roadmap to what the first customers will pay for, and fix the data model the next three versions need.

02

MVP sprints

Two-week sprints with a Friday demo on staging that you and a pilot customer can test.

03

Launch and learn

Production launch with monitoring and analytics, then a backlog decided by usage.

04

Scale

An embedded pod that grows with the roadmap, from first PRs in five days, with no lock-in.

How it is priced

Published prices, mapped to the job.

Every price here is the same one on the pricing page. Work with no published price gets a fixed price in writing before it starts.

The job
How we deliver it
Price
An MVP, built to its first paying customersThe published MVP cost $48,000 and took 11 weeks.
Fixed price in writing, after scoping
Engineers added to an existing SaaS team
$3,000–$7,500 / engineer / mo
A support agent for your customers
From $8,000 · flat, per agent
A review of an AI-built prototype
$2,500 · fixed · 5 business days
Running AI features after launch
$3,000–$20,000/mo

Figures in the notes are what past clients paid, from the published case studies; they show the range, not a rate card. Work with no natural end, such as ongoing development, is priced per engineer per month with no lock-in.

An honest read

When to hire us for this, and when not to.

A good fit when
  • You sell the product by subscription and plan to keep building it.
  • You have pilot customers or letters of intent, and a date tied to funding.
  • Your current team is good but too small for the roadmap.
Look elsewhere when
  • Nobody has talked to a potential customer yet. A Lovable or Bolt prototype is a cheaper first test.
  • You want a white-label platform with your logo on it. Buy one.
  • It is an internal tool for one team. See custom software development.
Proof

Three SaaS engagements, with the numbers.

An MVP to Series A, an embedded pod for a Series B team, and the analytics behind a $6M ARR product.

Pre-seed logistics technology startup, US-based solo founder

A $48K, 11-week logistics SaaS MVP that reached 14 paying customers and unlocked a $2.1M Series A.

$48,000
Total investment
11 weeks
Time to production
14
Paying customers (month 6)

Investment: $48,000 · Timeline: 11 weeks to production

Read the case study
Series B HR technology SaaS, US-based, $8M ARR

Three embedded engineers lifted sprint velocity 2.3x and shipped 4 stalled features in 3 months — saving $392,400/year vs US hiring.

2.3x (34 → 78 points)
Sprint velocity
$392,400 (65%)
Annual savings vs US hiring
34% → 71%
Test coverage

Investment: $14,400/month (3 engineers) · Timeline: First PRs in 5 days; full sprint velocity in 3 weeks

Read the case study
B2B project management SaaS, $6M ARR, 85 employees

A 7-week modern data stack eliminated 56 hours/month of manual reporting, cut month-end close from 5 days to 2, and preserved $186K in ARR.

56+ → 4/month (-93%)
Manual reporting hours
5 days → 2 days
Month-end close
4–8 hours → 30 seconds
Time to answer a business question

Investment: $78,200 (Year 1 total; $44,000 build) · Timeline: 7 weeks (1-week assessment + 6-week build)

Read the case study

These are past engagements at the prices those clients paid. For build price, monthly cost and payback side by side, see what ten client projects cost.

FAQ

SaaS development, answered

How much does it cost to build a SaaS product?

Our published logistics SaaS MVP cost $48,000 and took 11 weeks; a two-sided marketplace cost $72,000 over 14 weeks. Products with several user types, heavy integrations or compliance needs cost more. You get a fixed price after scoping, and ongoing development runs on an embedded team at $3,000–$7,500 per engineer per month.

How long does it take to build a SaaS MVP?

Usually 8 to 14 weeks for a focused first version. The published logistics MVP shipped in 11 weeks, one week ahead of its target, with all 12 committed features and 78% automated test coverage.

Can you take over an existing SaaS codebase?

Yes. We start by reviewing the code, infrastructure and deploy process, then either embed engineers in your team or take ownership of a defined area. In the published HR tech engagement, first pull requests landed in five days and full sprint velocity in three weeks.

Do you build AI features into SaaS products?

Yes: copilots, search, summaries and support agents, each with an evaluation set and cost controls so quality and spend stay visible after launch. Standalone agents are priced on the Gigabit Agents page, from $8,000.

Can we hire our own team later?

Yes. The code lives in your repositories on a conventional stack, with documentation and a hand-over. Many clients keep part of the team instead; the logistics founder retained three engineers as a dedicated team after the Series A.

Related

Often scoped alongside.

Go deeper

From the field notes

Start here

Building a SaaS product?

Send the roadmap, or the pitch deck if that is all there is. We reply with what the first version should be and what it will cost.