NEWExtracting Massive Datasets Efficiently with Reedy

A Software Studio

We turn your data (documents, voice and images) into intelligent systems: predictive dashboards and automated workflows engineered to drive business growth.

What We Build

We design AI systems that learn from your business operations, improve continuously, and are validated before deployment.

Applied AI & ML

We build production-grade AI systems, from data pipelines to model deployment, focused on measurable business outcomes.

Focus areas

  • Fine-tuning & Local Inference
  • Predictive Analytics & Forecasting
  • Enterprise Governance & Privacy
  • Computer Vision & NLP

AI that solves, not just predicts

AI Prototyping & Ideation

Turning ideas into strategic business tools. We prototype to provide clarity on impact, costs, and risks, enabling informed decisions before committing resources.

Focus areas

  • 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

From vision to working prototype in weeks

Multi-Agent Systems

We design autonomous agent workflows that coordinate tools, context, and decisions to execute complex tasks reliably.

Focus areas

  • Autonomous Agentic Workflows
  • RAG & Long-Term Memory Systems
  • Cross-Platform Agent Deployment
  • Observability & Performance Dashboards

Agents that perform and evolve

Software Engineering

We deliver web, mobile, and cloud products engineered for scale, performance, and long-term maintainability.

Focus areas

  • Scalable Web & SaaS Platforms
  • Native iOS & Android Applications
  • Cloud-Native & AI-Ready Infrastructure
  • Enterprise System Modernization

Full-cycle engineering for scale

Proof of Concept

A focused build to answer specific questions

A PoC is not a slide deck. It is a short, focused implementation around one workflow or hypothesis, using a realistic slice of your data and the same kinds of APIs and access you would need later. The goal is to observe behaviour, cost, and failure modes, not to ship a product.

  • Define upfront what “good enough” means for you (accuracy, latency, human review)
  • Run against real formats, volumes, and permissions, not only toy examples
  • Finish with a short write-up: what worked, what broke, and what a production path would require

What you get

Evidence on whether this approach is worth a larger build, grounded in your constraints.

You see outputs on your own materials, a sense of operating cost and failure cases, and a list of integration and governance gaps to close before going live.

Projects

We develop AI-driven products and custom solutions that integrate into each company's systems.

Tao Group Hospitality

Digital platform for operations, ticketing, and loyalty, developed for a global hospitality leader. Continuous delivery and long-term technical partnership.

AngularRuby on RailsReactAWSAndroidiOSLambdaAmplifyStorybookAppSyncNext.jsMantine

AI Call Compliance Agent

AI-powered analysis of call recordings to detect compliance, analyze customer sentiment, and score agent performance ,improving communication and service quality.

Speech-to-Text TranscriptionSpeech RecognitionAutomated SummarizationSentiment Analysis

Trusted by Industry Leaders

Model Context Protocol (MCP)

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.

Reedy – Unified AI Operations PlatformA product by AlamedaDev

Bring the scenarios that break your current system.

We don't do generic demos. We build a tailored environment so we can tackle your specific document bottlenecks in real-time. See how Reedy handles the complexity that other tools ignore.

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