AI SAAS DEVELOPMENT
End-to-end AI SaaS platforms — multi-tenant architecture, billing, admin dashboards, and production-grade infrastructure. From idea to a product handling real users and real revenue.
WHAT WE BUILD
Secure tenant isolation, role-based access, and data partitioning built to scale from your first customer to your thousandth.
Stripe-powered subscriptions, usage-based metering, seat management, trials, and invoicing wired into the product.
Operational control panels plus polished end-user dashboards with analytics, settings, and account management.
LLM features, agents, RAG, and ML capabilities integrated cleanly into the product with guardrails and observability.
Cloud-native deployment, queue-based processing, caching, and CI/CD that keeps the platform reliable under load.
Authentication, authorization, audit logging, encryption, and the controls enterprise buyers require.
CAPABILITIES
Two-week sprints with Friday demos. Senior engineers ship a real product, not a prototype, in weeks.
Product analytics, usage tracking, and reporting so you and your customers can see value clearly.
First-class API, webhooks, and integrations so your platform fits into your customers' existing stack.
Clean, documented, well-tested code your team can own and extend long after launch.
Logging, tracing, alerting, and dashboards so you catch issues before customers do.
Token budgeting, caching, and model routing keep AI feature margins healthy as you scale.
PROCESS
Define goals, success metrics, data sources, and constraints. A fixed-price sprint delivers a spec and roadmap you can take anywhere.
WK 1–2System design, evaluation strategy, and infrastructure plan — built for production scale and observability from day one.
WK 2–4Build the product in two-week sprints — tenant model, billing, dashboards, AI features, and infrastructure — with continuous deployment and Friday demos.
WK 4–10Benchmarking, load testing, error handling, monitoring, and cost controls before anything ships to users.
WK 10–12Milestone-gated go-live with monitoring and alerting, then continuous evaluation and improvement as usage grows.
WK 12+TECHNOLOGY STACK
Frontend
Backend
Data
AI
Billing
Infra
USE CASES
Industry-specific platforms — legal, healthcare, finance — with AI workflows tailored to the domain.
Products that automate repetitive knowledge work with agents and human-in-the-loop controls.
RAG-powered platforms that turn company data into answers, insights, and assistants.
AI-augmented analytics and reporting tools that surface insight from large datasets.
Multi-team internal tools and copilots built with the same production rigor as customer-facing SaaS.
Embedded assistants that add intelligence to an existing product or workflow.
WHY CHOOSE US
We judge our work by what ships and runs reliably — not by demos or notebooks.
Nine years and 40+ shipped AI systems. We've solved the hard parts before.
Architecture to deployment to monitoring — one senior team, no hand-offs.
Multi-tenant architecture and horizontal scaling from day one.
Clear milestones, Friday demos, and honest communication throughout.
We keep supporting growth, features, and scale after launch.
FAQ
RESOURCES
Autonomous agents that plan, reason, and complete multi-step tasks with guardrails.
Explore service →GPT, Claude, and Gemini integrated with streaming, function-calling, and cost controls.
Explore service →The full picture of how we design, build, and ship production AI systems.
Back to hub →READY TO START?
Tell us what you're building. We'll scope it and give you a fixed price and timeline.