Custom SaaS software development to bring your product vision to life

From fast-scaling startups to enterprise-grade platforms, CIGen helps build, scale, and modernize SaaS products using Azure cloud, modular architecture, and industry-leading software engineering practices.

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Modernize SaaS systems with CIGen

Whether you're refactoring a monolith, replacing an MVP, or scaling toward enterprise clients, we can help SaaS product teams modernize architecture and optimize for growth.

Multi-tenant architecture design
Subscription and billing systems
Admin and client portals
API-first SaaS products
SaaS analytics and reporting tools
SaaS onboarding and self-service flows
AI/ML-powered SaaS features
Infrastructure automation and DevOps

We help SaaS companies to:

Build cloud-native SaaS platforms

We can help businesses develop subscription-based products tailored to your user personas, monetization strategy, and scalability goals.

Our systems support modular feature rollout, flexible billing logic, and seamless third-party integration.

Integrate with the SaaS ecosystem

Enable native connectivity to CRMs, payment gateways, analytics providers, communication platforms, and cloud services.

We build secure, well-documented APIs and middleware to support fast, reliable integration.

Modernize legacy SaaS systems

Refactor or rebuild outdated platforms into scalable, Azure-native products using microservices, containerization, and best-practice DevOps.

We help you minimize technical debt and accelerate feature delivery.

SaaS software development services

CIGen’s SaaS software development services help you build, scale, and evolve high-performing software products, with a strong focus on cloud infrastructure, product extensibility, and long-term maintainability.

Create feature-rich, cloud-native SaaS products from concept to launch — tailored to your audience, market, and pricing model.
Subscription-based platforms

Build services with multi-tier pricing, trials, usage tracking, and renewal logic.

SaaS MVP development

Validate your product idea quickly with essential features and scalable architecture for future growth.

White-labeled platforms

Create custom-branded instances for resellers or partners with tenant-specific configuration.

Internal B2B tooling

Develop custom SaaS for internal operations, partner portals, or business service delivery.

Update your software’s architecture, performance, and security posture while preserving core functionality.
Legacy audit and modernization roadmap

Identify architectural bottlenecks, scalability issues, and areas for modularization.

Microservices transition

Break down monolithic SaaS applications into independently deployable services.

Frontend replatforming

Rebuild aging UI frameworks into modern, component-based interfaces using React or Angular.

Infrastructure reengineering

Migrate to containerized Azure environments with CI/CD and Infrastructure as Code pipelines.

Create products that connect seamlessly with your customers’ systems and third-party tools.
Payment gateway integration

Enable billing via Stripe, Paddle, PayPal, or custom gateways with webhook-driven logic.

CRM and marketing tool integration

Sync user data with HubSpot, Salesforce, or email marketing platforms via secure APIs.

Data and analytics embedding

Provide users with reporting tools and dashboards using Power BI or custom visualizations.

Webhooks and custom plugin support

Let customers extend your product’s functionality with event-driven integrations and plugin frameworks.

Use AI to add value-driving features, automate user actions, and personalize experiences.
Chatbots and NLP assistants

Integrate Azure OpenAI, Dialogflow, or custom NLP models for user support and task automation.

Predictive insights

Deliver usage recommendations, alerts, or forecasts based on user behavior and platform analytics.

Document automation

Use OCR and NLP to auto-process forms, contracts, or uploads in your SaaS workflows.

Personalization engines

Offer adaptive interfaces, suggested content, or product recommendations tailored to individual user behavior.

Turn product and user data into value — for you and your customers — with well-structured data flows and dashboards.
User behavior analytics

Track engagement, feature adoption, and drop-off to inform product decisions.

Operational metrics monitoring

Monitor system health, latency, and uptime using dashboards and alerts.

Churn and retention modeling

Use ML and historical data to predict churn risk and support re-engagement campaigns.

Embedded BI and self-service analytics

Give customers direct access to dashboards and custom reporting inside your SaaS platform.

Looking to build a secure, scalable SaaS solution that drives growth?

Partner with CIGen to build scalable, secure, and high-performing SaaS applications tailored to your market and growth goals. Whether you’re launching a new cloud-native platform, modernizing an existing product, or embedding AI-driven features, our team is ready to support your success at every stage.

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Why hire a SaaS software development company?

Built for your business model

We design SaaS products around your monetization strategy, user workflows, and go-to-market needs — not generic templates.

Scalable architecture

Our engineers will create cloud-native, multi-tenant systems that scale across regions, workloads, and customer tiers.

Faster time to market

Launch faster with agile delivery, CI/CD pipelines, and reusable components across services, dashboards, and admin tools.

Third-party integrations

Embed payments, messaging, CRM, AI services, and analytics into your product via secure API connectors.

Security-first development

From role-based access control to data encryption and compliance logging — security is built into every layer of your SaaS stack.

Flexible, modular evolution

Add new features, packages, and integrations without breaking core functionality thanks to our service-oriented design approach.

AI in SaaS: 7 popular applications

01
Automated customer support

NLP-powered chatbots and virtual agents handle routine customer queries, password resets, and basic troubleshooting tasks around the clock.

This reduces the burden on human support teams, speeds up resolution times, and improves overall customer satisfaction.

02
User behavior prediction

Machine learning models analyze how users interact with the platform to predict churn risks, recommend next-best actions, or identify upsell opportunities.

These insights enable SaaS providers to proactively engage users and enhance retention strategies.

03
Dynamic pricing and packaging

AI adjusts product pricing and package offerings based on real-time usage patterns, customer segmentation, and regional factors.

This helps maximize revenue, improve conversion rates, and ensure that pricing remains competitive and relevant.

04
Recommendation systems

Personalized recommendation engines suggest content, features, tools, or workflows based on user activity and preferences.

By delivering relevant suggestions, SaaS companies can drive deeper engagement, increase feature adoption, and improve customer lifetime value.

05
Document parsing and summarization

AI technologies like OCR and generative models extract, organize, and summarize information from contracts, forms, and uploaded documents.

This streamlines document handling processes, reduces manual errors, and accelerates workflows within SaaS applications.

06
Lead scoring and segmentation

AI ranks leads based on behavior, engagement level, firmographic data, and historical conversion patterns.

Accurate lead scoring and segmentation help sales and marketing teams prioritize efforts, improve targeting, and shorten sales cycles.

07
Usage-based resource forecasting

AI models predict future platform usage trends, such as system load, bandwidth consumption, or API call volume, based on historical behavior.

These forecasts enable proactive infrastructure scaling, cost optimization, and service reliability improvements.

Top AI technologies used in SaaS

Behavioral segmentation algorithms
Machine learning models (ML)
Natural language processing (NLP)
Computer vision
Predictive analytics engines
Generative AI

Clients about our cooperation

See what our clients say about the way our team helped them leverage their business potential.

They don’t just write code, they think through projects to make sure they find the best solution. Because of their thorough researching processes, their deliverables consistently exceed expectations.

Michael Rodriguez

CEO, InnovateTech Solutions

We are happy to share our thoughts on how professional, committed, and flexible CIGen is. The team we have worked with is always respectful and organized. Listening is one of their biggest strengths, as every time we present an idea for improvement we receive many suggestions for its realization.

Justas Beržinskas

Co-Founder at Kloogo

Working with the CIGen team is a rewarding and satisfying experience. Professionally, they are smart experts committed to understanding your needs and bringing to life what you are looking for. I think they are warm and welcoming people. I am looking forward to working again with the CIGen team.

Andreas Mildner

Co-Founder and Manager at GenieME

We have been working with CIGen for a few years. Our close cooperation brings significant value and result. They think from a business perspective, meet time-lines and budget. We have completed several projects and continue working together. Happy to recommend!

Michael Nilsson Pauli

CEO & Co-founder at Kodexe

The team addresses concerns promptly and generally completes tasks on time. Moreover, they pay close attention to the client’s needs. They work hard and take ownership of their tasks, resulting in a truly smooth collaboration.

Nandu Majeti

CTO at Rocktop Technologies

CIGen delivered a high-quality coded mobile app, which satisfied our requirements. They communicated daily and asked only relevant questions to identify the key to the project development. We were impressed with their expertise.

Alexander Schultz

CEO at Third Act

Thanks to CIGen, we reduced our technical debt and received ample support for their strategic technical initiatives. The team has a great project management approach and always aims to improve their partnership with us. Moreover, their members are proactive and highly skilled.

Karl Otto Aam

CTO at Skytech Control

SaaS-savvy development

At CIGen, we understand the complexity of delivering reliable, scalable SaaS products that delight users while maintaining agility.
Our engineering teams combine product thinking with strong technical foundations and operational excellence.

Multitenancy and scalability

We design SaaS platforms with tenant-aware logic, usage metering, and elastic scalability across services.

Rapid product iteration

With CI/CD pipelines, test automation, and modular architecture, we help you ship features faster and with lower risk.

Third-party ecosystem management

We handle integrations, API orchestration, token management, and observability for your SaaS partner ecosystem.

Security and compliance posture

From user authentication to encrypted storage and audit trails, our solutions are built to support enterprise-grade security.

SaaS product development lifecycle built for speed and scale

At CIGen, we design every stage of the SaaS software development lifecycle to accelerate your product growth, enhance user experience, and ensure technical scalability.
Our approach focuses on building secure, modular, and cloud-native solutions that evolve seamlessly with your customers' needs and market demands.

Discovery & product definition

Clarify your product vision, business model, user personas, and technical constraints.

Architecture design & tech stack planning

Design a scalable, modular system aligned with Azure-native practices and SaaS best principles.

Agile development & delivery

Build in sprints with continuous stakeholder feedback and frequent releases to test key assumptions early.

Integration & extensibility setup

Develop APIs, embed third-party services, and create plugin-ready architectures for future growth.

Security & performance testing

Ensure the product is resilient, compliant, and performant under real-world loads.

Launch, onboarding & support

Plan for go-to-market, user onboarding flows, and long-term operational support.

Monitoring & feature evolution

Track adoption, performance, and market feedback to drive iterative roadmap planning.

SaaS software development: FAQ

We aim to supply our clients with exhaustive information about the way we engage in partnership for ease of ​doing business and transparency. We’ve collected a few facts that help you understand our processes.

How can AI enhance SaaS platforms?

AI brings automation, personalization, and insight to SaaS products.

Examples include:

  • Smart onboarding and chatbots
  • Churn and engagement prediction
  • Dynamic pricing optimization
  • Document classification and summarization
  • User segmentation and targeting

Can CIGen modernize an existing SaaS platform?

Yes. We help companies refactor legacy applications, migrate monoliths to microservices, and transition to Azure-based infrastructure without disrupting end users or compromising uptime.

What kind of integrations can CIGen implement in a SaaS product?

We can help integrate a variety of popular systems in SaaS, for example:

  • Payment gateways and billing platforms
  • CRM, ERP, and helpdesk systems
  • Analytics, telemetry, and observability tools
  • AI/ML and document processing services

Do you support startups and early-stage SaaS founders?

CIGen team can help you define your MVP, launch quickly, validate core features, and build a roadmap for future scalability.

What is SaaS software development?

SaaS software development involves designing and building multi-tenant, cloud-native products that are offered via subscription and accessed through a web or mobile interface. This includes the backend infrastructure, client-facing UI, integrations, billing logic, and DevOps setup.

Let’s build a SaaS product that grows with your customers and your vision.

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