AI Product & Applied Engineering

AI Technology Partner

From working prototype to production-grade systems in weeks, not months. We define what to build, validate model behavior, and ship systems that hold up in the real world.

Let's talk about your product→See our work

Who we work with

Built for the 0-to-1 phase and enterprise innovation.

We partner with scaling startups, established enterprises, and institutions that need to integrate AI and automate critical operations with rigor, security, and scale.

  • Validate before you spend: know whether AI actually solves your problem before hiring a full engineering team or committing budget around the wrong bet.
  • From demo to reality: you've seen AI demos that look impressive in a presentation and fail in production. We build solid architectures (Agentic AI, RAG, MCP) designed to distinguish a polished demo from a production product.
  • Move fast without technical debt: scale quickly without building a codebase held together by duct tape that you'll have to rewrite from scratch in 12 months.
  • Real privacy and security: systems engineered from day one to protect your data, maintain compliance, and integrate seamlessly into your enterprise infrastructure.

Why this matters

Most AI products and automations fail in production not because the model was wrong, but because the architecture and product decisions were. This is the phase where that gets decided.

Tell us your idea

What We Build

AI products and software systems engineered for measurable business outcomes, operational strength, and long-term scale.

Document & Audio Intelligence

We transform unstructured text, complex documents, and audio files into clean, structured, actionable data.

Capabilities

  • Voice & Audio Processing: real-time call analysis, advanced transcription, speaker diarization (identifying who is speaking), and context extraction using native multimodal models and state-of-the-art voice engines.
  • Intelligent Document AI: automated extraction, validation, and structuring of critical data from contracts, invoices, and complex regulatory filings.
  • Dashboards & Analytics: streaming structured data directly into intuitive visual dashboards and BI infrastructure so your team can make decisions without wasting time.

From documents and audio to actionable data

Agentic Systems & RAG

AI agents that complete complex, end-to-end tasks reliably by connecting directly to your existing tools and APIs.

Capabilities

  • Autonomous agentic workflows and multi-agent orchestration systems.
  • RAG (Retrieval-Augmented Generation) architectures with long-term memory for accurate answers without hallucinations.
  • Tool and system integration via MCP (Model Context Protocol).
  • Observability dashboards to monitor LLM performance, behavior, and latency in real time.

Agents that perform and evolve

AI Product Prototyping

We turn your vision into a testable prototype in weeks. Real enough to present to investors, enterprise buyers, or executive boards.

Capabilities

  • Early technical feasibility validation with your real data.
  • User flow design, UI, and interactive product visualization.
  • Simulation of real-world scenarios and edge cases.
  • Full clarity on inference costs, delivery timelines, and technical risks before building the full system.

From vision to working prototype in weeks

Scalable Software Engineering

Web, mobile, and cloud platforms engineered to scale from day one without accumulating technical debt.

Capabilities

  • Scalable Web & SaaS platforms.
  • Native iOS & Android applications.
  • Cloud-Native & AI-ready infrastructure.
  • Enterprise system modernization and database architecture.

Full-cycle engineering

How We Work

From PoC to MVP to scale

We reduce technical uncertainty fast, build the most focused version that creates real value, and harden it for production.

  • PoC (Proof of Concept): validate technical feasibility with your actual data, constraints, and quality standards.
  • MVP (Minimum Viable Product): launch a production-grade product ready for customers, investors, or internal teams.
  • Scale: strengthen architecture, observability, and model performance for growth in production.
Let's talk about your product

Delivery model

Product decisions backed by technical evidence, not assumptions.

Every phase ends with actionable outputs: what worked, what failed, and what to do next so your team can make confident decisions.

Teams we've worked with

Teams behind successful products trust AlamedaDev

+10 years building software. From the Y Combinator and Techstars ecosystems to international enterprises.

Projects

Featured Projects

AI and software products delivered for real operations, with measurable business impact.

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Insights

From AI that chats to AI that works

MCP is the open standard that lets models connect to your tools (CRM, tickets, APIs) securely, so agents complete real tasks instead of only offering advice.

Read article
Reedy – Unified AI Operations PlatformA product by AlamedaDev

Built for teams that can't afford to miss details.

Reedy Paral·lel

Stop reviewing documents manually. Purpose-built agents extract, structure, and validate critical information from your most complex document workflows, including contracts, invoices, and compliance filings, with enterprise-grade accuracy and full auditability.

Reedy Meet

Your live copilot. Knows the history. Reads the room. Automatically builds your pre-call brief from prior context. 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. You stay in the conversation. Reedy covers the rest.

See Reedy with your own documentsExplore usereedy.com
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.

Read full case study