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🚀 SaaS Product Development
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SaaS Product Development

🚀 Product Engineering

We Don't Just Build
SaaS for Clients.
We Build It for Ourselves.

Most agencies say they build SaaS. We've built 15+ SaaS products — including PrintPlanr (ranked among the top 10 cloud print MIS platforms globally), ElementIQ (a full ERP serving enterprise clients for 20+ years), FieldPlanr, and SkedPlanr. When you build your SaaS with us, you're working with a team that has shipped real products to real customers — not a team that builds SaaS for the first time on your project.

INFOMAZE SAAS PORTFOLIO · ACTIVE
● Live products
PRODUCTS
15+
Built & shipped
YEARS
23
Building SaaS
MARKETS
8+
Countries served
OWN PRODUCTS — STATUS
PrintPlanr — Top 10 global cloud print MIS · AI active
Live
ElementIQ — Full ERP · 20+ year clients · AI in dev
Live
FieldPlanr — Field service management SaaS
Live
SkedPlanr — Small business scheduling app
Live
CLIENT SAAS PRODUCTS — BUILT & SHIPPED
EnrichedRealEstate — 42M properties · US
QuickZ — Automated lending platform · AU
Property Campaign Solution · US
AI NOW BUILT INTO EVERY NEW PRODUCTCustom MCU training infrastructure. PrintPlanr AI active. ElementIQ AI in development. Every new SaaS we build ships with AI capability.
15+
SaaS products built — own products and client platforms across 8+ countries
Top 10
Global ranking for PrintPlanr — cloud print MIS built entirely by Infomaze
20yr
ElementIQ in production — from field service app to full enterprise ERP
AI
In every new build — custom MCU training, domain-specific models, not generic API wrappers
— Why This Matters

Building a SaaS product is fundamentally different from building a custom application

Most agencies treat them the same. They aren't. The decisions you make on day one determine whether the platform scales to 10,000 users or collapses at 500.

Custom Application

Built for one client's specific requirements
Single tenant — one database, one configuration
Deployed once, maintained for that client
Access control for one organisation's users
Billing handled separately from the application
Performance tuned for known usage patterns

✦ SaaS Platform

Multi-tenant — hundreds of customers sharing the same infrastructure
Data isolation — tenant A must never see tenant B's data
Subscription billing, trials, upgrades, downgrades built in
Self-service onboarding — customers activate without your team
Usage metering, feature flags, plan-based access control
Infrastructure that scales from 10 to 10,000 customers without a rebuild
Zero-downtime deployments — customers can't tolerate maintenance windows

We've made every one of these decisions across 15+ real products. When we architect your SaaS, we're drawing on what worked in PrintPlanr, what we had to rebuild in early ElementIQ, and what we learned building platforms for clients in the US, Australia, Singapore, and Mexico. That experience is what you're engaging when you build your SaaS with Infomaze.


— Our Own SaaS Products

We built these. We run them. We learn from them.

The strongest proof that we know how to build SaaS isn't what we say — it's what we've shipped and kept running for years.

Live · Global customers · AI active

PrintPlanr

Cloud Print MIS · Printing, Signage & Promotional Industry
Built when we identified that web-to-print had solved front-end ordering but left back-end management dependent on fragile desktop software. PrintPlanr is now ranked among the top 10 cloud print MIS platforms globally — a multi-tenant SaaS serving print, signage, and promotional businesses with job management, press scheduling, production tracking, dispatch, and invoicing. Now with AI.
Top 10 globally ranked cloud print MIS
Multi-country customer base
End-to-end job lifecycle — order to invoice
✦ AI: Press recommendation · Auto job coding · Product suggestions · Self-service chatbot
Live · Enterprise clients · AI in development

ElementIQ

Field Service ERP · Work Order, Dispatch & Operations Management
Started as SystemTask — a work order and technician dispatch platform for a field service company whose clients included 7-Eleven, JC Penney, and Walmart. Over 20 years it evolved through three major versions into ElementIQ — a full ERP with business process automation comparable to enterprise solutions. The client attributes their company's growth directly to this platform. They're still with us today.
20+ year production deployment — three major versions
Enterprise clients including 7-Eleven, Walmart-scale operations
Full ERP — work orders, dispatch, inventory, billing, reporting
✦ AI in development: Invoice parsing · Automated job scheduling
Live · Field service businesses

FieldPlanr

Field Service Management SaaS · Job Dispatch & Technician Management
A field service management platform for businesses that dispatch technicians to customer sites — managing jobs, scheduling, dispatch, technician mobile app, customer communication, and invoicing. FieldPlanr is the SaaS platform; the companion mobile app gives field technicians everything they need on-site including job alerts, photo capture, notes, discrepancy reporting, and sign-off.
Job management, scheduling, and technician dispatch
Mobile app: iOS and Android (React Native)
Customer portal and communication built in
Live · Trades and small service businesses

SkedPlanr

Small Business Job & Scheduling App · Plumbers, Electricians, Cleaning Companies
A purpose-built business app for small trades and service businesses — plumbers, electricians, HVAC engineers, cleaning companies. The complete job workflow in one mobile app: receive a job enquiry, visit the site, create a quote on-site, send to the customer, get approval, complete the work, send the invoice, track payment. No office, no desktop, no delay between site visit and quote.
Full quote-to-invoice workflow on mobile
iOS and Android (React Native)
Built for one-person to small team operations

— SaaS Platforms Built for Clients

Multi-tenant platforms we've built and shipped for clients across 8+ countries

Beyond our own products, we've built SaaS platforms for clients across real estate, fintech, telecom, marketing, and field service — each with multi-tenant architecture, industry-specific workflows, and in production with real users.

Real Estate · Search & Analytics

EnrichedRealEstate

🇺🇸 United States
42 million property search platform with Elasticsearch delivering results in under 1 second. Google Maps drag-and-drop boundary search, polygon draw, and live results update. Sales comparison and property history reports rebuilt from 2+ minutes to under 5 seconds. The performance engineering benchmark in our portfolio.
Financial Services · Lending

QuickZ

🇦🇺 Australia
Automated lending platform — application through to loan disbursement without manual intervention. Bank verification API and credit score agency integrated automatically at each pipeline stage. Loan turnaround from days to hours. WordPress front end, Zoho CRM pipeline, automated payment receivables and reminders.
Real Estate · Campaign Management

Property Campaign Solution

🇺🇸 United States
A multi-tenant SaaS platform for real estate campaign management — enabling property marketers to manage listings, campaigns, leads, and analytics from one platform. Built for a US client with industry-specific workflow requirements that off-the-shelf marketing platforms couldn't accommodate.
Marketing Technology

Marketing Platform

🇲🇽 Mexico
A marketing SaaS platform built for a Mexican client — multi-tenant architecture serving marketing operations at scale. Built around the specific requirements of the client's market and workflow, with localisation and regional compliance requirements built in from the architecture phase.
Telecom · Inventory & Procurement

TSN — Telecom Supply Network

🇺🇸 United States · AT&T · T-Mobile
Multi-tenant telecom inventory platform with US-patented BOM reprioritization logic. Pitched to AT&T, T-Mobile, and Goodwill Network. Cross-warehouse inventory visibility eliminating duplicate procurement across nationwide tower networks. Some modules awarded US patents — including the BOM reprioritization engine we designed.
Telecom · B2B Marketplace

Telecom Inventory Marketplace

🇺🇸 United States
A two-sided SaaS marketplace for telecom equipment — want-to-buy and want-to-sell inventory matching for the telecom industry. Multi-tenant platform where vendors uploaded inventory and buyers posted requirements, with automated matching and transaction management. A successful platform that ran at scale.

— What We Build Into Every SaaS

Six capabilities we bring from 15+ products to your build

These aren't features we add as afterthoughts. They're architecture decisions we make on day one because we've learned what happens when they're missing.

🏗️

Multi-Tenant Architecture from Day One

Tenant isolation designed into the data model before any feature is built. Row-level security, tenant-scoped queries, and configuration isolation — so tenant A's data can never leak to tenant B regardless of application bugs or misconfigurations. We've built this correctly from day one across 15+ products. Retrofitting it later is expensive and risky.

💳

Subscription Billing & Plan Management

Trial periods, paid plans, usage-based billing, upgrades, downgrades, cancellations, and payment failure handling — all designed and integrated at the architecture phase. Stripe, Chargebee, or custom billing logic depending on your requirements. Billing is not a feature you bolt on at the end — it's a system that touches every part of the platform.

🚪

Self-Service Onboarding

Customers activate, configure, and start using the platform without your team involved. Onboarding flows, guided setup, email sequences, and configuration wizards. PrintPlanr's onboarding was built so a print company could go from sign-up to first job in under 30 minutes without any support interaction. That's what self-service onboarding means in practice.

🤖

AI Built In — Not Bolted On

Every new SaaS we build now includes AI capability by design — recommendation engines, intelligent automation, predictive features, or AI chatbots. We built our own MCU training infrastructure for PrintPlanr so AI models train on your domain data, not generic training sets. AI-native from day one produces better results than AI added after launch.

📊

Usage Analytics & Feature Flags

Which features do customers actually use? Which plan tiers are being underutilised? Which workflows create the most friction? Usage instrumentation built in from day one means you're making product decisions from data — not from assumptions. Feature flags let you release to specific customer segments, A/B test, and roll back without a deployment.

🚀

Zero-Downtime Deployment Infrastructure

SaaS customers can't tolerate maintenance windows. We architect for blue-green or rolling deployments, database migration strategies that don't lock tables, and feature flags that decouple deployment from release. ElementIQ has been in production for 20 years. The deployment infrastructure that supports that longevity is part of what we bring to your platform.

— When to Build SaaS

Three situations where building a SaaS product is the right decision

01

You've identified a problem in a specific industry that existing SaaS tools handle poorly

+

PrintPlanr was built because the print industry's specific workflow requirements — job costing, press matching, colour codes, production scheduling — were handled poorly by generic project management tools. The industry was being served by desktop software with fragile vendor support. We built a cloud-native replacement that understood the domain. Industry-specific SaaS products win when the industry's requirements are different enough from the generic case that general tools require painful workarounds.

💡The best SaaS products are built by people who deeply understand the industry problem — not by generalist developers building to a feature list
// The PrintPlanr origin
We were building web-to-print solutions for clients in the UK. The front-end ordering was online. But the back-end — job management, press scheduling, production tracking — was handled by legacy desktop software whose support was becoming unreliable. We understood the print workflow deeply from client work. We built PrintPlanr specifically for that workflow. It's now in the top 10 globally because the depth of domain understanding is visible in every feature.
Domain-specific SaaSIndustry expertiseMulti-tenant architecture
02

You're building a platform that connects two sides of a market

+

The telecom inventory marketplace connected equipment sellers and buyers across the industry — a two-sided SaaS platform where the value came from the matching and the network. QuickZ connected borrowers to lenders with automated verification removing the friction in the middle. EnrichedRealEstate connected property seekers to property data at a scale no competing platform matched. Marketplace and platform SaaS requires specific architecture — managing two user types, ensuring both sides find value, and building the matching logic that makes the platform work.

💡Two-sided platforms have a cold start problem — the architecture needs to support both sides finding value before network effects kick in
// Platform SaaS considerations
User types: two separate onboarding flows, two separate dashboards, two different value propositions served from one platform. Matching logic: the algorithm that connects supply to demand is often the core IP — we've built BOM matching in TSN (US patented), property matching in EnrichedRealEstate, and loan matching in QuickZ. Trust mechanisms: reviews, verification, guarantees — the features that make both sides trust the platform enough to transact. Data model: shared data that both sides can see (listing), private data that only one side sees (contact details until match).
Two-sided marketplaceMatching logicDual onboarding
03

You need an MVP fast — then a roadmap to scale

+

SkedPlanr started as a focused mobile-first job management app for small trades businesses. The architecture was designed to scale from day one — multi-tenant, billing-ready, AI-extensible — but the MVP delivered only the core job workflow. Quote, approve, complete, invoice. Every feature beyond that came after seeing how real users used the core. Building a SaaS MVP that's also architecturally ready to scale is different from building a prototype — and it's what 23 years of product experience produces.

💡An MVP with bad architecture is a liability — you'll rebuild it at exactly the moment customers want you to be adding features
// MVP done right vs done fast
MVP done fast: build the features, ship, iterate. Problems emerge at scale — multi-tenancy retrofitted, billing bolted on, database redesigned under load. MVP done right: architecture designed for scale on day one, core features only in V1, but the foundation is solid. SkedPlanr V1 had three screens. The data model supported unlimited tenants, plan-based feature access, and future AI integration. The three screens were built on a foundation that didn't need to be rebuilt when customers started asking for more. That's the difference between a prototype and an MVP.
Scalable MVPArchitecture-firstReact Native + Laravel
— Engagement Models

Three ways to work with us on your SaaS

ISO 27001. NDA before any details shared. We give you an honest view of scope and timeline before any commitment.

✦ Start here

SaaS Product Workshop

No cost · No obligation
90 minutes · Remote · Structured session
  • Define the problem your SaaS solves
  • Map user types, core workflows, and differentiators
  • Identify MVP scope vs V1 roadmap
  • Recommend technology stack and architecture approach
  • Written product brief yours to keep
🔄 Long-term

Product Engineering Partner

Monthly · Continuous delivery
Min. 3 months · The ElementIQ model
  • Dedicated product engineering team
  • Sprint-based delivery — features shipped every 2 weeks
  • AI features added continuously as data accumulates
  • Long-term partnership — we grow with your product
  • The model behind 20 years of ElementIQ development
— How We Build SaaS

From product idea to paying customers

Architecture first. MVP scoped tightly. AI designed in. Scale built from day one.

🎯
01 —

Product Definition

Problem defined. User types mapped. Core workflow designed. Architecture decided. Billing model agreed. All before a line of code.

🏗️
02 —

Architecture Build

Multi-tenant foundation. Billing integration. Onboarding flow. AI capability layer. The infrastructure that everything else builds on.

🚀
03 —

MVP Launch

Core features only. Real customers. Real feedback. Usage instrumented from day one so V2 decisions are data-driven.

📈
04 —

Scale & Evolve

Features added from usage data. AI trained as data accumulates. Platform scales with customer growth. The long-term partnership model.

— FAQ

Questions we always get about SaaS product development

How is building a SaaS different from building a custom application?

+
The core difference is multi-tenancy and the systems around it. A custom application is built for one client — one set of users, one database, one configuration. A SaaS platform serves many customers from the same codebase and infrastructure — each customer is a tenant who must be fully isolated from every other tenant at the data level. Beyond that, SaaS requires subscription billing, self-service onboarding, usage analytics, feature flags, and zero-downtime deployment infrastructure that custom applications don't need. These architectural decisions shape every part of the platform and need to be right from day one — they're expensive to retrofit.

What tech stack do you recommend for SaaS?

+
It depends on your requirements, team skills, and expected scale. For most SaaS products we build today: Laravel (PHP) or .NET for the backend, React for the web frontend, React Native for mobile, MySQL or PostgreSQL for the primary database, Redis for caching and queuing, AWS or Azure for infrastructure. For AI-heavy features, we layer Python-based ML services. We've built SaaS on every major stack across 23 years — we don't have a commercial interest in recommending one over another, and we'll tell you honestly if a specific requirement points toward a particular technology choice.

How long does it take to build a SaaS MVP?

+
For a focused MVP — core workflow only, one user type, basic billing, functional onboarding — typically 12–20 weeks. SkedPlanr's first version was in this range. PrintPlanr V1 took longer because the print workflow is complex and we were building domain understanding simultaneously. The honest answer is that timeline depends almost entirely on scope definition — the tighter and more honest the MVP scope, the faster the delivery. The most common cause of SaaS MVP delays is scope that expands because "this feature is essential" when it isn't. We push back on scope in the product workshop — that discipline is part of what you're engaging.

Do we own the code and IP?

+
Yes — fully. All code written for your SaaS platform is your intellectual property. We sign IP assignment agreements as standard. You receive complete source code at every milestone, full documentation, and all credentials and infrastructure access. The only exception is third-party licensed components — we document all dependencies clearly. TSN's BOM reprioritization logic was awarded US patents in the client's name, not ours. That's how we've always operated.

Ready to build a SaaS product with a team that has actually done it?

Start with a free product workshop. We define the problem, map the architecture, scope the MVP, and give you an honest view of what it takes — before any commitment. 15+ SaaS products built. 23 years of engineering. ISO 27001.

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