What does Archiet generate from my architecture?

Archiet converts your plain-English software description into a scored ArchiMate blueprint, a compliance report covering SOC 2, ISO 27001, GDPR, HIPAA, PCI-DSS, DORA, and NIS2, and a production-ready ZIP containing backend code (Flask, FastAPI, Django, NestJS, Laravel, Go, Java, Rails, .NET), a Next.js frontend, React Native mobile app, Dockerfile, GitHub Actions CI, Alembic migrations, and an OpenAPI spec.

How is Archiet different from GitHub Copilot or Cursor?

Copilot and Cursor complete code line-by-line inside a file. Archiet starts from a business architecture and generates an entire production-ready application across 12 language stacks in one shot, including compliance reports, quality scoring across 4 dimensions, and a scored ArchiMate blueprint you can version-control alongside the code.

Which compliance frameworks does Archiet support?

Archiet generates compliance documentation and controls for SOC 2, ISO 27001, GDPR, HIPAA, PCI-DSS, DORA (Digital Operational Resilience Act), and NIS2. Each generated application includes an audit-ready compliance report mapped to the relevant controls for your chosen frameworks.

Which programming language stacks does Archiet support?

Archiet supports 12 backend stacks: Flask, FastAPI, Django, NestJS, Laravel, Go (Chi), Java (Spring Boot), Ruby on Rails, .NET, Tauri+Rust (desktop), SAP CAP, and Dynamics 365. Every stack ships with a Next.js frontend, React Native mobile app, and the same compliance automation.

How long does it take to generate a production-ready application?

Most applications generate in 3-8 minutes. The pipeline extracts your requirements, scores the architecture, runs compliance checks, generates code, and produces a downloadable ZIP designed to deploy with docker-compose up without manual configuration.

Is the generated code production-ready?

Yes. Archiet's product promise is zero-touch production-ready: download the ZIP, follow the README, deploy in under 30 minutes without changing a single file. Every generated application is scored across 4 quality dimensions. Auth uses httpOnly cookies, all routes have JWT guards, and migrations are Alembic-managed.

All starters

Python · AI agents

LangChain / LangGraph marketplace starters — 10 production-ready vertical SaaS codebases

LangChain / LangGraph AI agent SaaS templates. Each marketplace solution generates as a buildable LangChain / LangGraph project with the entities, workflows, and integrations specific to its vertical — not a generic auth + Stripe scaffold. LangChain / LangGraph output is a fully-wired Python AI agent application: typed LangGraph state machines per workflow, LangChain tool definitions per integration, a Flask API layer exposing agent runs as REST endpoints, persistent memory via PostgreSQL + pgvector, and Celery for long-running agent tasks. The architecture drives which tools, chains, and graphs are generated — not the other way around.

Early-supporter: single $499, bundle $999, all-access $2,999 — ends 9 May 2026 —

What you get with every LangChain / LangGraph marketplace solution

Generated as idiomatic LangChain / LangGraph: LangGraph StateGraph per domain workflow with typed state schemas · LangChain tool definitions wired to your integration points · Flask API with streaming SSE endpoint for real-time agent output · pgvector for semantic memory and retrieval-augmented generation. Plus the rest of the Python ecosystem patterns Archiet ships per stack.

• LangGraph StateGraph per domain workflow with typed state schemas

• LangChain tool definitions wired to your integration points

• Flask API with streaming SSE endpoint for real-time agent output

• pgvector for semantic memory and retrieval-augmented generation

• Celery + Redis for async, long-running agent task queues

• JWT auth with httpOnly cookies (no localStorage)

• Alembic migrations for agent memory tables

• OpenAPI spec covering all agent REST endpoints

• pytest suite with LangSmith trace fixtures

• Multi-stage Dockerfile + docker-compose + GitHub Actions CI

10 vertical solutions, all generating to LangChain / LangGraph

Pick a vertical. The same architectural genome regenerates the solution into your stack — full domain logic, not a placeholder scaffold.

CRM SaaS for LangChain / LangGraph

Contacts, opportunities, pipeline

Help Desk for LangChain / LangGraph

Tickets, SLA, knowledge base

Recruiter ATS for LangChain / LangGraph

Candidates, hiring pipeline, scorecards

HR Onboarding for LangChain / LangGraph

New-hire workflow, e-signature

Performance Review for LangChain / LangGraph

Cycles, goals, 360 feedback

Contract Lifecycle (CLM) for LangChain / LangGraph

Contracts, renewals, signatures

Customer Feedback for LangChain / LangGraph

VoC, NPS, feature voting

Project Management for LangChain / LangGraph

Tasks, sprints, time, resources

IT Asset Catalogue for LangChain / LangGraph

Applications, lifecycle, drift

Invoicing SaaS for LangChain / LangGraph

Customers, invoices, multi-currency

Why this is not just another LangGraph starters listing

LangGraph starters typically ship a single generic scaffold — auth, Stripe, mailer, admin, deploy config. The Archiet marketplace ships vertical solutions — the entities + workflows + integrations specific to a domain are already in the box. Pick a CRM and the contact + opportunity + activity entities, the pipeline-stage workflow, the email integration, and the CSV import are all generated. Pick an ATS and the candidate + scorecard + interview-stage entities, the hiring pipeline, the calendar integration, and the offer-letter generation are all generated.

That changes the math. With a generic scaffold, you optimize for "how fast can I rebuild the same scaffold pieces every project." With a vertical solution, you optimize for "how fast can I customize the domain to this customer's specifics" — the part that's actually billable, defensible, and compounding.

Stack choice is yours. The same genome regenerates into Flask, FastAPI, Django, NestJS, Laravel, Go, Java, Rails, .NET, Tauri+Rust, SAP CAP, Dynamics 365, or LangChain / LangGraph. Pick whichever your team already runs, or whichever your enterprise client mandates. Pick LangChain/LangGraph when your architecture includes AI agents, RAG pipelines, or multi-step reasoning workflows. Archiet generates the graph topology from your business requirements — you get a production agent system, not a Jupyter notebook demo.

Browse marketplace, or jump to All-Access

All-Access ($2,999 → $7,999 after 9 May) gives you every current vertical plus every vertical we ship in the future, in any of 12+ stacks. Disappears at $1M ARR.

Browse marketplace All-Access details

Looking at other stacks? See Flask · FastAPI · Django · NestJS · Laravel · Rails and others.

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