AI Product
Define what to build and why before writing code.
AI Product + Engineering
The AI engineering partner for early-stage founders.
From working prototype to production in weeks, not months. We define what to build, validate model behavior, and ship systems that hold up in the real world.
Applied Science
Select and tune models based on real-world performance.
Engineering
Ship scalable, maintainable systems in production.
Who we work with
Built for the 0-to-1 phase.
Trusted by founders in the US, UK, Germany, France, Spain and the Netherlands. Tao Group Hospitality, Meter, Hakkasan Group and 20+ others.
- You have a thesis and traction, but not the technical team to move fast and make the right calls.
- You need to know whether AI actually solves your problem - before hiring a full engineering team around the wrong bet.
- You've seen AI demos that look good and fail in production. You need a partner who knows the difference and won't ship the demo.
- You want to move fast without building a codebase you'll have to throw away in 12 months.
Why this matters
Most AI products fail in production - not because the model was wrong, but because the product decisions were. This is the phase where that gets decided.
What We Build
AI products and software systems designed for measurable business outcomes, operational strength, and long-term scale.
Applied AI & ML
Production-grade AI systems with clear business KPIs - from data pipelines and model deployment to fine-tuning, computer vision, and predictive analytics. Built to run, not just to demo.
Capabilities
- Fine-tuning & Local Inference
- Predictive Analytics & Forecasting
- Enterprise Governance & Privacy
- Computer Vision & NLP
AI Product Prototyping
We turn your idea into a testable prototype in weeks. Real enough to show investors and customers. Specific enough to reveal the actual costs, risks, and delivery path before you commit to building the full thing.
Capabilities
- Early validation with investors and teams
- Product visualization and user flow design
- Simulation of real-world scenarios and use cases
- Clarity on impact, real costs, and risks
Agentic Systems
Autonomous agent workflows that coordinate tools, context, and decisions to complete real tasks reliably. We build agents that perform in production, with the observability to know when they don't.
Capabilities
- Autonomous Agentic Workflows
- RAG & Long-Term Memory Systems
- Cross-Platform Agent Deployment
- Observability & Performance Dashboards
Software Engineering
Web, mobile, and cloud platforms engineered for scale - from day one. We build full-stack and cloud-native systems that won't become technical debt before your Series A.
Capabilities
- Scalable Web & SaaS Platforms
- Native iOS & Android Applications
- Cloud-Native & AI-Ready Infrastructure
- Enterprise System Modernization
How We Work
From PoC to MVP to scale
We start by reducing uncertainty fast, then build the smallest version that creates real value, and finally harden it for scale.
- PoC: validate technical feasibility with your real data, constraints, and quality bar.
- MVP: launch a focused product version you can show customers, investors, and internal teams.
- Scale: strengthen architecture, observability, and model performance for production growth.
Delivery model
Product decisions backed by technical evidence, not assumptions.
Every phase ends with clear outputs: what worked, what failed, and what to do next so your team can make confident decisions.
Projects
Featured Projects
AI and software products delivered for real operations, with measurable business impact.
Teams we've worked with
Teams behind successful products trust AlamedaDev
Insights
From AI that chats to AI that works
MCP is the open standard that lets models use your tools securely—CRM, tickets, APIs—so agents complete real tasks instead of only suggesting what to do.
A product by AlamedaDevBuilt for teams that can't afford to miss details.
Reedy Paral·lel
Purpose-built agents extract, structure, and validate critical information from your most complex document workflows - contracts, invoices, compliance filings - with enterprise-grade accuracy and full auditability.
Reedy Meet
Builds your pre-call brief from prior context automatically. During the call, a real-time copilot follows the conversation and surfaces relevant information based on your instructions - the right data, at the right moment, without breaking your focus.
PublicationMarch 16, 2026
Building a Financing Intake Agent with SOP Workflows
How we use a three-step, template-driven workflow to classify, extract, and validate loan application documents.