Launch AI-Powered SaaS Products That Scale & Sell
We build AI-native SaaS platforms from concept to market — multi-tenant architecture, usage-based billing, and intelligent features that make your product indispensable to customers.
Trusted by innovative teams worldwide
Full-Stack SaaS Engineering Credentials
Our team is certified across the cloud, AI, and infrastructure platforms that power modern SaaS.
Everything to Launch an AI SaaS Product
From multi-tenant architecture to AI-powered features — we handle the full stack so you can focus on your market.
Multi-Tenant Architecture
Database-per-tenant or shared-schema designs with data isolation, tenant-level configuration, and infrastructure that scales from 10 to 10,000 customers without re-architecture.
AI Feature Engineering
We build the intelligent features that differentiate your product — recommendation engines, predictive analytics, NLP interfaces, and automated workflows powered by ML.
Billing & Monetization
Stripe-powered billing with usage-based pricing, seat-based tiers, freemium-to-enterprise upgrade paths, and detailed usage analytics for your sales team.
Auth & Access Control
Enterprise SSO (SAML, OIDC), role-based access control, team management, and API key provisioning — ready for enterprise sales from launch.
Analytics & Observability
Product analytics, feature usage tracking, customer health scoring, and infrastructure monitoring — everything you need to understand and grow your user base.
API & Integrations Layer
RESTful and GraphQL APIs with webhooks, rate limiting, and documentation — plus native integrations with tools your customers already use.
Have an AI SaaS Idea? Let's Make It Real.
Book a free product architecture session — we'll map your idea to a buildable, launchable plan.
We don't just build software. We launch products.
From architecture to analytics, billing to onboarding — we build AI SaaS platforms that are ready to acquire customers on day one, not products that need another 6 months of polish.
SaaS Engineering for the AI Era
AI SaaS products have unique challenges — model serving costs, inference latency, usage-based billing around AI features, and customer expectations of intelligent behavior.
Why Founders Choose Us to Build AI SaaS
We've launched products that reached $1M ARR in under a year — combining deep AI expertise with SaaS product engineering discipline.
Share Your SaaS Vision
Tell us about your product idea and target market. We'll respond with an architecture plan and timeline within 48 hours.
Our Engagement Process
Product Discovery
Define your target user, core AI features, competitive positioning, and MVP scope — validated against market reality.
Architecture & Design
Multi-tenant architecture, AI system design, billing model, and UX wireframes — a buildable blueprint for your product.
Iterative Build
2-week sprints with working demos, continuous user feedback, and scope adjustments — shipping value every cycle.
Launch Preparation
Load testing, security audit, billing integration, onboarding flows, and analytics setup — everything needed for a confident launch.
Growth & Scale
Post-launch feature development, performance optimization, customer feedback loops, and infrastructure scaling as you grow.
What Our Clients Say
“OpenMalo took our napkin sketch for an AI-powered audit tool and turned it into a production SaaS platform in 14 weeks. We signed our first paying customer two weeks after launch. Their product instinct is as strong as their engineering.
“We tried building in-house for 8 months and barely had a working prototype. OpenMalo rebuilt it properly in 12 weeks with multi-tenancy, billing, and SSO. We reached $500K ARR within 9 months of their launch.
“The usage-based billing system they built handles our complex AI credit model perfectly. Customers understand what they're paying for, and our gross margins improved by 22% after switching from flat-rate pricing.
$500K ARR in 9 Months from Zero
AI-Powered Document Intelligence Platform
How we built an AI SaaS platform for automated document review and extraction — from concept to $500K ARR in 9 months with 120+ enterprise customers.
Great AI, no product — stuck in the prototype phase
DocuStream had a powerful document extraction model but no scalable product around it — no multi-tenancy, no billing, no enterprise features. Their 8-month in-house effort had produced an unstable single-tenant prototype.
Our Approach: Multi-tenant architecture on AWS, Stripe billing with AI credit system, SAML SSO, self-serve onboarding, and customer analytics — launched in 14 weeks, first paid customer in week 16.
Read Full Case StudyFrequently Asked Questions
Typical AI SaaS MVPs take 10–14 weeks including multi-tenancy, billing, auth, and core AI features. We scope tightly around the features that matter for initial launch and iterate rapidly based on early customer feedback.
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