SAI — SYMBIOTIC ATOMIC INSTALLER

SAI

Builds your back-office per partner. Ships features at atomic speed.

SAI is the intelligence behind partner onboarding and feature delivery. It analyzes your business, selects the right modules, generates an executable deployment spec, and deploys a production back-office in under 5 minutes. Then its Wishlist system keeps shipping features without a single sprint planning meeting.

<5 min

Signup to production

95%

Tech stack detection

47 min

Avg wishlist-to-deploy

$0.20

Cost per analysis

What it does

AI-powered onboarding

5-step wizard that replaces weeks of intake calls and consultant scoping. SAI reads your industry, analyzes your codebase (if provided), and generates a deployment-ready ConfigSpec.

CodebaseAnalyzer

Upload a repo. SAI scans package.json, Dockerfiles, env vars, and data models — extracting tech stack, business domain, existing integrations, and migration paths. 95% accuracy on 50+ tech stacks.

Executable ConfigSpec

The output is not a document — it's an executable deployment spec. YAML/JSON that defines modules, permissions, API endpoints, branding, and dashboard layout. Feed it to Fleet and get a running instance.

Wishlist system

Partners request features in natural language. SAI captures, maps to existing Elements, checks if it exists in another partner instance, and either installs atomically or composes from primitives.

Cross-partner intelligence

Every onboarding teaches SAI what works for each industry. Logistics company #7 gets better recommendations than #1 did. The system compounds.

Dual-model routing

Claude Opus for deep analysis, Moonshot K2.5 for bulk processing. Budget-aware routing with cost estimation. Average onboarding costs $0.15-0.30 in AI compute.

How it works

01

Partner fills the intake form

Company name, industry, team size, top 3 pain points. Optional: upload codebase for automated analysis.

02

SAI generates recommendations

Based on industry patterns and stated needs, SAI suggests which modules to activate, which Elements to enable, and how to configure the dashboard.

03

ConfigSpec is generated

An executable deployment spec — every detail from module selection to branding to API endpoints. Review it, tweak if needed, or accept as-is.

04

Fleet deploys automatically

One click. Fleet takes the spec, provisions infrastructure, deploys the app, configures the domain. Partner logs in to a production back-office.

05

Wishlist handles the rest

Partner: "I need a way to track driver certifications." SAI: finds certification element, installs it, connects to their HR module. Deployed in 47 minutes on average.

Why it's different

Fully automated onboarding replaces weeks of consultant scoping with a 5-minute wizard

ConfigSpec is executable — not a PDF that someone has to implement manually

Wishlist execution is AI-driven: natural language request → deployed feature, no developer needed

Cross-partner learning means every new deployment improves recommendations for the next

Cost per onboarding: $0.15-0.30 vs $5,000-50,000 for traditional implementation consulting

Ready to try SAI?

Start Building →

SAI