AI-nativeSoftware engineering
Small teams.
Big engineering.
Software, mobile apps, data and AI for your business, built by a small, experienced team.
Luciérnaga Labs is an AI-native software engineering studio. We build custom software, mobile apps, data platforms and enterprise AI for companies worldwide, working remotely from Colombia.
Why Luciérnaga Labs
Big ideas don't need big teams.
We believe focused teams, experienced engineers and intelligent tools can create extraordinary software.
- Focus
- We build what moves your business first.
- Ownership
- An engineer stands behind every decision.
- Craft
- Code your next team can maintain.
- Curiosity
- If there's a simpler way, we'll tell you.
Expertise
Four disciplines. One engineering team.
We design, build and evolve production software. The four areas work together on a shared engineering foundation. Pick one to see the problems we solve.
Custom software development
Area 1 of 4What we solve
Processes living in spreadsheets, systems that don't talk to each other, or a product that is still an idea.
What it covers
- Custom software
- Web applications
- Enterprise platforms
- Backend engineering
- API development
- System integrations
- Application modernization
Typical tools Python · TypeScript · React · .NET · PostgreSQL
More about Custom software developmentConnects with
Mobile app development
Area 2 of 4What we solve
Taking your product or operations mobile with a stable, fast app, ready for the App Store and Google Play.
What it covers
- iOS applications
- Android applications
- Cross-platform development
- Mobile backend services
- Application architecture
- Mobile product development
Typical tools Swift · React Native · TypeScript
More about Mobile app developmentConnects with
Data engineering
Area 3 of 4What we solve
Information scattered across systems, manual reports and decisions without reliable data. This goes far beyond a dashboard.
What it covers
- Data pipelines
- ETL and ELT
- Data integration
- Data architecture
- Data platforms
- Analytics engineering
- Business intelligence infrastructure
Typical tools Python · PostgreSQL · AWS
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Enterprise AI development
Area 4 of 4What we solve
Repetitive manual work, knowledge that's hard to find, or documents nobody has time to review. We apply AI when it creates measurable value.
What it covers
- AI-powered applications
- AI integrations
- Intelligent automation
- AI agents
- Retrieval-augmented generation (RAG)
- Document intelligence
- Enterprise AI workflows
Typical tools Python · FastAPI · PostgreSQL · AWS
More about Enterprise AI developmentConnects with
Across everything we build
These capabilities aren't sold separately: they are the foundation that supports all four areas.
- Cloud architectureAWS infrastructure designed to grow.
- DevOpsCI/CD, containers and repeatable deployments.
- SecuritySecurity-oriented engineering from the design stage.
- TestingQuality verified before every release.
- ObservabilityMonitoring to know what's happening in production.
Technology
Python · TypeScript · Swift · React · React Native · FastAPI · .NET · PostgreSQL · AWS · Docker · Kubernetes
We choose technology based on the problem, the team that will maintain it and the product's horizon. These are the ones we use most often. Trademarks belong to their owners. Their mention does not imply certifications or official partnerships.
How we work
You always know what's being built, when and why.
A clear process with no unnecessary layers. Before choosing the technology we understand the problem; then the path gets more precise all the way to production.
- 01 / Discover
Discover
What problem are we solving?
We understand the business problem, technical requirements and success criteria.
You get: scope, risks and success criteria
- 02 / Design
Design
How should it be built?
We define the architecture, user experience, scope and delivery roadmap.
You get: architecture, roadmap and a proposal priced per stage
- 03 / Build
Build
How do we build it well?
We develop with modern engineering practices and AI-assisted workflows, in short, visible iterations.
You get: working releases you can try
- 04 / Validate
Validate
Does it work as it should?
We test functionality, reliability, security and performance.
You get: test results and a launch plan
- 05 / Evolve
Evolve
What comes next?
We deploy, monitor, maintain and keep improving.
You get: software in production, monitored and documented
Engagement models
Three ways to work together.
We don't sell developer hours. We are a technology partner that builds and evolves software. Each project defines its own model, and many combine more than one.
Build
From idea to production.
Who it's for
For businesses that need new software products or applications.
For example
- MVP development
- Custom applications
- Mobile products
- Enterprise software
Modernize
Make existing technology work better.
Who it's for
For companies with legacy systems, technical debt or disconnected platforms.
For example
- System modernization
- Architecture improvements
- API integrations
- Cloud migration
- Data platform modernization
Partner
Your engineering team, extended.
Who it's for
For businesses needing ongoing technical expertise and development.
For example
- Continuous product development
- Dedicated engineering capacity
- Technical leadership
- Maintenance and evolution
Availability and scope for each model are agreed per project.
AI-native
AI-native by design. Engineered with intention.
AI enhances our engineering workflows. Experienced professionals guide architecture and implementation, and human review makes sure someone is accountable for every decision.
- ExplorationTechnical research and comparing alternatives.
- DevelopmentAI-assisted coding, held to our engineering standards.
- TestingGenerating test cases and reviewing coverage.
- DocumentationTechnical documentation that stays current.
- Code reviewCatches issues before code is merged.
- ImprovementAnalyzing errors, performance and technical debt.
AI doesn't replace engineering judgment. Engineers make the final calls, and own them.
Lab
What we're lighting up.
We're a new studio and haven't published client case studies yet. We'll publish real work, with measured results, as it ships. Meanwhile, this is what we build:
- Custom business platforms
- Mobile products with their backend
- Data platforms that connect systems
- AI applications in real workflows
Early projects get the founder on every decision, and a case study is published only if the client approves it.
Tell us about your projectThe studio
Who will build your software.
Luciérnaga Labs is an independent software engineering studio based in Popayán and Cali, Colombia, working remotely with clients worldwide. We work in small, focused teams, with founder-led technical direction and an AI-native engineering methodology.
Small by design
You work directly with the engineers who build.
Experience-led
Architecture, security and maintainability from day one.
AI-native workflows
AI speeds up the work; people own the decisions.
Built around outcomes
Clear goals and success criteria before choosing technology.
Long-term thinking
Software that is documented, observable and ready to evolve.
FAQ
Short answers.
What is Luciérnaga Labs?
Luciérnaga Labs is an independent, AI-native software engineering studio based in Colombia. Small teams of experienced engineers design, build and evolve production software, using AI inside the workflow while people stay accountable for every technical decision.
What does Luciérnaga Labs build?
Four services on one engineering foundation: custom software development, mobile app development (iOS, Android and cross-platform), data engineering and enterprise AI. Cloud architecture, DevOps, security, testing and observability are part of all of them.
Read moreHow do engagements work?
There are three models: Build (a new product from idea to production), Modernize (improving existing systems, technical debt or integrations) and Partner (ongoing engineering capacity). We don’t sell hours: scope, deliverables and success criteria are agreed per project.
Read moreWhere is the studio based, and do you work with international clients?
The studio is based in Popayán and Cali, Colombia (UTC−5). We work remotely with companies worldwide, in English or Spanish, with good time-zone overlap across the Americas.
What does AI-native mean?
AI is built into how we research, write, test, document and review code. It does not replace engineering judgment: engineers make, and answer for, the final decisions.
How do we start a project?
Use the contact form: your name, email, project type and a short description are enough. We reply within one business day to set up a 30-minute call, at no cost and with no commitment. Then we propose scope, a roadmap and a budget.
How much does a project cost?
It depends on scope, so we don’t publish a fixed rate. After the first call we send a proposal with scope and price fixed per stage, so you know what each part costs before we start.
Contact
Let's build what's next.
Tell us what you need to build or improve. We'll help you explore the best technical solution, even if you don't know which technology to use yet.
Tell us about your projectOr email us at [email protected]
