AI-Native SaaS Platforms
We build multi-tenant SaaS products where AI isn't a feature, it's the foundation. Auth, billing, and dashboards handled. Intelligence built in from day one.
01Overview
A complete SaaS build includes auth, billing, analytics, and role-based access. We ship all of that, plus the AI layer that makes your product worth paying for: retrieval, summarization, agents, and streaming interfaces integrated into the core product experience.
02Why choose this service
01
Auth, billing, role-based access, analytics, and the AI layer, shipped by one team on one timeline.
02
Streaming chat, RAG search, AI-generated reports, and agent-driven workflows, integrated from day one.
03
Workspace isolation, invite flows, and tenant-scoped data handled correctly from the first deploy.
04
Postgres, Stripe, observability, CI/CD, and deployment workflows set up before the first login.
03How we work
01
We map your product's core jobs, the data model, and the AI surfaces that differentiate it.
02
Auth, billing, and one core AI-powered workflow live for early users in 4 to 8 weeks.
03
RBAC, multi-tenant data isolation, monitoring, and performance baselines before first paying users.
04
Feature expansion, analytics, and scaling to production traffic with ongoing support.
04Applications
05Technologies
06Case study
Multi-modal
reports, diagnostics, and AI coaching in one platform
The problem
Generating personalized cognitive-style reports and team competency analyses manually was slow and inconsistent.
The result
Multi-tenant SaaS platform that produces long-form reports backed by RAG, with an in-app AI coach and 2D/3D cognitive map visualizations.
07FAQ
Four to eight weeks for a core MVP with auth, billing, and one AI-powered workflow. Scope-dependent.
Both. Supabase is our default for speed, but we'll roll a custom Node or FastAPI backend when scale or compliance demands it.
Yes. We've shipped with Cognito, Auth0, Clerk, Supabase Auth, Stripe, and custom flows.
08Explore more
Custom multi-agent systems and workflow automations that replace manual operations with orchestrated, grounded, reliable pipelines.
Context-aware chatbots and AI assistants grounded in your documents and data, with streaming, citations, and conversation memory built in.
OCR, vision-based extraction, and multi-step LLM parsing to turn documents into structured data and automated downstream workflows.
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