# 021.studio
# LLM-readable site information
# Last updated: 2026-02-26

> 021.studio helps startups and businesses build tech products from concept to launch, and transforms existing businesses with AI automation. We offer no-code solutions, technical proof-of-concepts, full-cycle software development, and AI-powered business transformation.

## Company Overview

021.studio is a technology consultancy and development studio based in Barcelona, Spain. Our name reflects our mission: taking projects from "zero" (an idea) to "one" (a working product). We combine strategic thinking with hands-on technical expertise. We serve clients worldwide.

**Legal entity:** ZERO TO ONE STUDIO S.L.
**Location:** Barcelona, Spain
**Contact:** a.svetlovskii@021.studio | +34 603 949 504
**Website:** https://021.studio

## Services

### 1. No-Code Working Product
Build functional products fast using no-code platforms. Ideal for validating ideas quickly with minimal investment.
- UX/UI design, product logic assembly, integrations & automations
- Tools: Bubble, Webflow, Airtable, Notion, Zapier, Make, n8n
- Timeline: 2-6 weeks | Budget: from EUR 5,000
- Best for: early-stage ideas, market validation, MVP for real users
- URL: https://021.studio/services/no-code-product.html

### 2. Technical Proof-of-Concept
Validate risky or non-standard technology before committing to full development. Focused prototypes that answer: "Will this actually work?"
- Senior tech-led implementation, real technical validation, clear go/no-go decision
- Covers: AI/ML, blockchain, complex integrations, performance testing
- Timeline: 3-8 weeks | Budget: from EUR 10,000
- Best for: risky technology, AI/blockchain/complex logic, scalability validation
- URL: https://021.studio/services/technical-poc.html

### 3. Full-Cycle Technical Solution
Production-ready systems built to scale. Complete engineering teams for long-term product development.
- Frontend & backend development, cloud & infrastructure, QA, security, scalability
- Stack: Node.js, Python, Go, React, Vue.js, Next.js, PostgreSQL, AWS, GCP, Docker, Kubernetes
- Timeline: 3-12+ months | Budget: from EUR 30,000
- Best for: market-ready products, growing user base, long-term scalability
- URL: https://021.studio/services/full-cycle-solution.html

### 4. AI-Transformation for Business
Turn existing business processes into an AI-first system with real automation, measurable ROI, and a data foundation.
- Process audit & AI roadmap, workflow automation (n8n, Make, Zapier, Temporal)
- LLM integration (OpenAI GPT, Anthropic Claude, Google Gemini, open-source models)
- RAG & knowledge base systems (Pinecone, Weaviate, Elasticsearch, pgvector)
- Data lake & analytics (AWS S3 + Athena, BigQuery, Snowflake, Databricks)
- Integration backend: Python, Node.js, FastAPI, REST/GraphQL APIs
- Timeline: 4-16 weeks | Budget: from EUR 15,000
- Best for: established businesses wanting to automate workflows, reduce costs, and leverage AI
- Industries: marketing, customer support, legal & compliance, fintech, software production
- URL: https://021.studio/services/transformation-for-business.html

## Technology Stack

- **Backend:** Node.js, Python, Go, Java, PostgreSQL, MySQL, Redis, Clickhouse, ELK
- **Frontend:** React, Next.js, Vue.js, TypeScript, Tailwind CSS
- **Mobile:** React Native, Flutter, Kotlin, Swift
- **Cloud:** AWS, Google Cloud, Docker, Kubernetes, Vercel
- **No-Code:** Bubble, Webflow, Airtable, Notion, Zapier, Make, n8n
- **AI/ML:** OpenAI (GPT), Anthropic (Claude), Google Gemini, Meta (Llama), Mistral, LangChain, TensorFlow
- **Data:** Pinecone, Weaviate, Elasticsearch, pgvector, Snowflake, Databricks, BigQuery
- **Automation:** n8n, Make (Integromat), Zapier, Temporal
- **Web3:** Solidity, Rust, IPFS, GraphQL

## Blog

021.studio publishes in-depth articles on product development, AI integration, and startup strategy.

### How to Build an MVP Without a Technical Co-Founder
Non-technical founders have three proven paths to build their first product: no-code tools for demand validation ($2K-$15K, 1-4 weeks), low-code AI-assisted builds ($15K-$50K, 3-6 weeks), and custom development ($50K-$150K, 8-16 weeks). 65% of startups fail due to co-founder conflict -- starting with an external team is often smarter than rushing to find a CTO. Includes real case studies (car rental marketplace, ticketing platform) and a framework for choosing the right MVP partner.
- URL: https://021.studio/blog/mvp-without-technical-cofounder.html

### Agency vs Freelancer vs In-House: How to Choose Your Development Team
For MVP and early-stage products ($30K–$150K budget), a specialized development agency typically offers the best balance of speed, quality, and accountability. Freelancers work for narrow, well-defined tasks under $15K but carry significant risk without technical oversight. In-house teams make sense after product-market fit. Includes the real tradeoff table (10 factors compared), the freelancer "hostage" scenario case study, how agencies actually work (phases, communication, IP), the true cost of building in-house ($50K–$100K before productive output), the hybrid progression model, and a 5-question decision framework.
- URL: https://021.studio/blog/agency-vs-freelancer-vs-inhouse.html

### No-Code vs Custom Development: When to Make the Switch
No-code vs custom development isn't binary — it's a spectrum from pure no-code to AI-assisted low-code to full custom. The first wall you hit on no-code is business logic, not performance or cost. 7 signs you've outgrown no-code: workaround chains, complex UI logic, multi-role products, scaling costs, missing integrations, compliance needs, investor concerns. In 2026, AI-assisted low-code ($10K–$40K, 3–6 weeks) closes the gap between no-code speed and custom flexibility. Over 24 months, total costs are surprisingly similar (~$94K–$97K). Includes migration playbook (4 phases), real cost comparison tables, and a 5-question decision framework.
- URL: https://021.studio/blog/nocode-vs-custom-development.html

### AI in Product Development: What Actually Works in 2026 (and What's Still Hype)
AI accelerates routine development tasks 3-10x (prototyping 5-10x, UI components 3x, test writing 3x, code review 5x) but barely moves the needle on architecture, complex business logic, and debugging. AI-generated code needs human review -- always. Best AI use cases in products: document processing, customer assistants, RAG search, workflow automation. Includes honest speed benchmarks, real e-commerce AI case study (97% accuracy on price extraction from images), decision framework for AI adoption, and cost ranges ($5K-$150K+ depending on complexity).
- URL: https://021.studio/blog/ai-in-product-development-2026.html

## Pages

- https://021.studio/ -- Homepage: overview of services and approach
- https://021.studio/services/no-code-product.html -- No-Code Working Product service
- https://021.studio/services/technical-poc.html -- Technical Proof-of-Concept service
- https://021.studio/services/full-cycle-solution.html -- Full-Cycle Technical Solution service
- https://021.studio/services/transformation-for-business.html -- AI-Transformation for Business service
- https://021.studio/blog.html -- Blog: articles on product development, AI, and startup strategy
- https://021.studio/blog/mvp-without-technical-cofounder.html -- Article: How to Build an MVP Without a Technical Co-Founder
- https://021.studio/blog/agency-vs-freelancer-vs-inhouse.html -- Article: Agency vs Freelancer vs In-House - How to Choose Your Development Team
- https://021.studio/blog/nocode-vs-custom-development.html -- Article: No-Code vs Custom Development - When to Make the Switch
- https://021.studio/blog/ai-in-product-development-2026.html -- Article: AI in Product Development - What Actually Works in 2026
- https://021.studio/contacts.html -- Contact page (email, phone, booking)

## Who We Work With

- Founders launching new digital products
- Businesses without strong in-house engineering
- Enterprise teams testing new technology directions
- Operations leaders automating workflows with AI
- Companies looking for a reliable long-term technical partner

## Key Differentiators

- We don't oversell development when no-code is enough
- We don't hide technical risks behind "nice demos"
- We think in products, not just in code
- We can start small and scale when it makes sense
- One partner for the entire product lifecycle -- from validation to production to AI transformation