
SaaS Development Services
Scale Your SaaS Product with AI-Native Architecture
We re-architect single-tenant applications into scalable, multi-tenant platforms that support rapid onboarding.
Award Winning Development
We hire engineers who understand the protocols and compliance requirements that govern your business.
Technology Expertise
SaaS Development Services
Join over 100 customers building in the cloud with Azumo
Managing custom code branches for different clients makes maintenance a nightmare and slows down feature releases.

85%
44%
56%
SaaS Development Services
We deploy fine-tuned LLMs trained on your documentation and past support tickets to resolve Tier 1 technical queries automatically, reducing support volume by 50%.
Churn Prediction
Machine learning that identifies at-risk customers weeks in advance enabling proactive retention.
Subscription Billing Platforms
Recurring billing, usage metering, proration, and revenue recognition for SaaS business models.
Product Analytics Infrastructure
Event tracking, funnel analysis, and cohort retention with Segment/Amplitude-style data collection.
Admin Console Development
Tenant management, user provisioning, SSO configuration, and audit logging for enterprise customers.
API Gateway & Rate Limiting
Per-tenant rate limits, API key management, and usage tracking for freemium/tiered SaaS plans.
In-App Onboarding Flows
Product tours, checklist completion tracking, and contextual help for user activation.
Feature Flag Systems
Gradual rollouts, A/B testing, and tenant-specific feature enablement for SaaS products.
Customer Health Scoring
Usage metrics aggregation and ML-based health scores for customer success prioritization.
White-Label SaaS Solutions
Custom branding, domain mapping, and configuration per reseller/agency partner.
Multi-Tenant SaaS Architecture
Shared database with row-level security, tenant isolation, and resource pooling for cost efficiency.
Subscription Billing Platforms
Recurring billing, usage metering, proration, and revenue recognition for SaaS business models.
Product Analytics Infrastructure
Event tracking, funnel analysis, and cohort retention with Segment/Amplitude-style data collection.
Admin Console Development
Tenant management, user provisioning, SSO configuration, and audit logging for enterprise customers.
API Gateway & Rate Limiting
Per-tenant rate limits, API key management, and usage tracking for freemium/tiered SaaS plans.
In-App Onboarding Flows
Product tours, checklist completion tracking, and contextual help for user activation.
Feature Flag Systems
Gradual rollouts, A/B testing, and tenant-specific feature enablement for SaaS products.
Customer Health Scoring
Usage metrics aggregation and ML-based health scores for customer success prioritization.
White-Label SaaS Solutions
Custom branding, domain mapping, and configuration per reseller/agency partner.
AI Agents
We can also build intelligent workflows with AI Agents

Trusted Partner
We follow a structured, product-first AI development process that prioritizes user engagement, retention, and business growth
STEP. 01
SaaS AI Discovery
We understand subscription models user behavior and product metrics. We design AI that reduces churn and drives growth.
STEP. 02
Product Data Integration
We integrate usage data customer profiles subscription information and support tickets into comprehensive AI systems.
STEP. 03
AI Model Development
Our data scientists develop SaaS AI including churn prediction usage analytics and personalization engines.
STEP. 04
Cohort Testing
We test AI with user cohorts measuring churn reduction engagement and revenue impact before full deployment.
STEP. 05
Platform Integration
We integrate AI with SaaS platforms subscription systems and customer data ensuring seamless product experience.
STEP. 06
Continuous Model Refinement
Post-deployment we monitor churn rates engagement metrics and revenue tracking refining AI for ongoing improvement.
Benefits
SaaS Software Development for AI That Improves Retention and Expansion
Product-led growth, intelligent onboarding, and usage-based insights require AI built by teams who understand SaaS metrics and what moves them.

.avif)
.avif)







