AI Agents • Mobile • LLM • Microservices

AI-native software for agents, mobile & modern backends.

Directed-AI is a focused software studio that designs and builds AI agents with Spring AI and n8n, React Native mobile apps, LLM integrations (on-prem & cloud), and Spring Boot micro-services.

AI agents Production-oriented design, orchestration, tool use, and integration.
Mobile apps React Native experiences with AI embedded into real user workflows.
Modern services Spring Boot micro-services built for reliability, ownership, and scale.
Services

What Directed-AI delivers

We partner with you from architecture through launch, building production-grade systems around AI agents, mobile experiences, and modern micro-services.

Data & AI

AI Agents & Automation

Design and implement task-oriented and long-running AI agents that can call your APIs, orchestrate workflows, and safely act on your data.

  • Agent design & tool selection
  • Spring AI–based agent services
  • Agentic workflows & integrations
  • Guardrails, evaluation & logging
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Cloud & Hybrid

LLM Integration (Cloud & On-Prem)

Connect LLMs to your systems with the right routing, context, and safety — whether you need SaaS APIs, private models, or a hybrid.

  • Local, or cloud-hosted LLMs
  • On-prem / VPC-isolated deployments
  • RAG, MCP and custom tools
  • Compliance-aware implementations
Applications

React Native Mobile Apps

Native-feeling apps with AI built in — from onboarding and subscriptions to background tasks and push notifications.

  • New app builds & feature additions
  • Secure auth & in-app purchases
  • Integration with AI agents & APIs
  • App Store & Google Play readiness
Core platforms

Spring Boot Micro-services

Well-factored services with clear boundaries, tests, and observability to support AI-heavy and mobile-heavy workloads.

  • Domain-driven service design
  • REST, SOAP & event-driven APIs
  • Security, caching & rate limiting
  • Monitoring & metrics baked in
Infrastructure

Cloud & On-Prem Deployments

Architect and implement your runtime: containers, functions, and networking designed for reliability, performance, and cost control.

  • EC2 / ECS / EKS / containers & CI/CD
  • Network, IAM & secrets management
  • Logging, tracing & alerting
  • Cost-aware scaling strategies
Data

Data & Persistence Design

Schemas and data flows that match your access patterns — including what your AI agents and analytics actually need.

  • PostgreSQL, MySQL, SQL Server & Oracle
  • DynamoDB, MongoDB, OpenSearch & Solr/Lucene
  • Pgvector, Kafka, RAG, Domain context
  • Schema evolution & migrations
  • Analytics & reporting foundations
Delivery model

Senior engineering from architecture through launch

Directed-AI brings hands-on implementation depth to every engagement, helping teams move quickly from discovery to shipped systems.

  • Architecture through launch
  • Clear interfaces and pragmatic AI adoption
  • Observable systems your team can own
  • Small teams focused on outcomes
Products

Flagship and future products

Directed-AI isn’t just a consultancy — we ship our own products too. That keeps us grounded in what it takes to launch and run real AI-first experiences.

Flagship product

Migraine-AI: AI-assisted migraine companion

Migraine-AI is a mobile app on the App Store that helps users track migraine episodes, correlate triggers, and discover patterns using AI. It blends user input, wearable data, and environmental signals (weather, barometric pressure, air quality, allergens) to generate personalized insights.

Built by Directed-AI end-to-end: architecture, UX, APIs, AI agents, infrastructure and release pipelines.

React Native mobile app Spring Boot micro-services Spring AI & LLM orchestration On-device & cloud data flows
In development

Product 2

AI-enhanced application currently in active build. Designed to reuse our Migraine-AI architecture patterns for a new domain.

In design

Product 3

Concepting and early prototyping underway — combining agents, mobile, and streaming data.

In discovery

Product 4

Early discovery focused on problems where AI agents plus mobile can deliver 10× better user experiences.

Looking for a partner product?

We occasionally collaborate with companies on co-created products that leverage this platform.

Approach

How Directed-AI engages

We bring senior engineering to every engagement, with small teams that move quickly and focus on outcomes, not just deliverables.

Discovery

Architecture & discovery sprints

Focused starts that clarify goals, constraints, data sources, stakeholders, quick wins, and risks.

Delivery

Build-with-you or build-for-you

Flexible engagement model that fits internal team capacity, speed requirements, and technical ownership needs.

Cadence

Weekly demos & tight feedback loops

Small, shippable increments that keep work visible and reduce risk throughout the delivery cycle.

Ownership

Documentation & handoff

Clear systems, observability, and transfer paths so your team can confidently own the product after launch.

Typical engagements range from focused 2–4 week architecture projects to multi-month builds taking a new product to launch.

That flexibility lets Directed-AI support both early-stage exploration and full delivery programs.

01

Discover & Align

Understand goals, constraints, data sources, and stakeholders. Identify quick wins and risks.

02

Design the System

Draft architecture across agents, services, data, and deployment. Agree on scope & milestones.

03

Build & Integrate

Implement features in small, shippable increments. Integrate with your existing stack and CI/CD.

04

Launch & Support

Stabilize in production (on-prem or cloud), document, and support handoff or ongoing improvements.

Contact us

Let’s talk about what you’re building

Considering AI agents, React Native apps, LLM integrations, or Spring Boot services for a new or existing product? We’d love to understand your roadmap and see if we’re a fit.

Share a bit about your use case, timelines, and tech stack. We’ll respond with a clear next step — no spam, no endless sales cadence.

Primary focus AI agents with Spring AI, n8n and LangGraph workflows, React Native apps, LLM integrations, and Spring Boot services
Engagement style Senior engineering, fast feedback loops, architecture through launch

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