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.
We partner with you from architecture through launch, building production-grade systems around AI agents, mobile experiences, and modern micro-services.
Design and implement task-oriented and long-running AI agents that can call your APIs, orchestrate workflows, and safely act on your data.
Connect LLMs to your systems with the right routing, context, and safety — whether you need SaaS APIs, private models, or a hybrid.
Native-feeling apps with AI built in — from onboarding and subscriptions to background tasks and push notifications.
Well-factored services with clear boundaries, tests, and observability to support AI-heavy and mobile-heavy workloads.
Architect and implement your runtime: containers, functions, and networking designed for reliability, performance, and cost control.
Schemas and data flows that match your access patterns — including what your AI agents and analytics actually need.
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.
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.
We bring senior engineering to every engagement, with small teams that move quickly and focus on outcomes, not just deliverables.
We know what it takes to ship AI-driven systems because we run our own. Our work blends solid software engineering with pragmatic AI adoption: clear interfaces, observable systems, and a bias for solutions your team can own.
Understand goals, constraints, data sources, and stakeholders. Identify quick wins and risks.
Draft architecture across agents, services, data, and deployment. Agree on scope & milestones.
Implement features in small, shippable increments. Integrate with your existing stack and CI/CD.
Stabilize in production (on-prem or cloud), document, and support handoff or ongoing improvements.
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.