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Alago Tech Stack

AI-powered data layer for construction project management

Architecture and Planning Munich 2–10 employees Privately Held

Alago builds a data layer for construction projects using a modern AI-first stack: TypeScript + Next.js + Supabase + PostgreSQL, with LangChain, LangGraph, and Claude at the core. The company is actively developing multi-agent AI workflows and novel architectures to address the industry's most acute pain: critical project information trapped in unstructured documents and paper systems. At 2–10 people with 7 open roles and accelerating hiring velocity, the team is scaling engineering and sales in parallel—a pattern typical of startups moving from product-market fit into distribution.

Tech Stack 19 technologies

Core StackTypeScript Next.js Vercel Supabase PostgreSQL LangChain Cursor Tailwind CSS Node.js Figma pgvector Vercel AI SDK LangFuse TanStack Query shadcn/ui Claude LangGraph Rive Lottie

What Alago Is Building

◆Challenges

Double data entry and manual busywork
Inefficiencies in construction industry
Repeating errors due to paper documents
Inefficiencies due to unstructured documents
Paperwork and scattered systems
Critical information stuck in paperwork
Unstructured data in construction
Outdated construction software

▲Active Projects

Ai workflow development
Customer ai use case identification
Novel ai architectures
Multi-agent workflows
Ai-first infrastructure
Category-defining platform
Customer-facing features
Scalable workflow systems
Pilot projects integration
Product improvement based on customer feedback

Hiring Activity

Accelerating7 roles · 7 in 30d

Department

Engineering

3

Sales

2

Design

1

Product

1

Seniority

Intern

3

Senior

2

Junior

1

Mid

1

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About Alago

Alago provides a data management platform for construction project teams. The product treats construction as a document-heavy, error-prone domain where critical information scatters across paper, emails, and disconnected tools; Alago's core value is surfacing and structuring that data via AI. The stack reflects a deep commitment to modern AI operations: pgvector for embeddings, LangChain and LangGraph for multi-step workflows, LangFuse for observability, and Claude for reasoning. The company is based in Munich and currently hiring only in Germany, with distributed hiring across engineering, sales, design, and product roles at junior to senior levels.

HeadquartersMunich

Company Size2–10 employees

Hiring MarketsGermany

Frequently Asked Questions

What is Alago's tech stack?

TypeScript, Next.js, Supabase, PostgreSQL with pgvector, LangChain, LangGraph, Claude, and Vercel AI SDK. Frontend includes TanStack Query, shadcn/ui, Tailwind CSS, Figma, and Rive for animation.

What problems does Alago solve in construction?

Double data entry, manual paperwork, unstructured documents, scattered project information, and repeating errors. Alago uses AI workflows to extract and structure data from construction project documents.