Build custom AI agents from ideas, documents, and workflows.
No API key. No complex setup. No cloud lock-in.
Intelliyah AI is a local-first agent builder — design, package, and run custom AI assistants entirely on your own hardware.
AI Should Be Accessible. It Isn't Yet.
Current AI tools create unnecessary complexity, cost, and risk for people who just want to build something useful.
AI tools require cloud API keys and ongoing subscription costs
Setup is complex — models, servers, configurations, credentials
Your data leaves your machine and goes to third-party clouds
Generic AI assistants don't understand your specific domain
Building a custom AI requires deep ML engineering knowledge
Intelliyah Makes AI Simple.
Every product in the Intelliyah ecosystem is designed to remove a barrier — so you can focus on what you want to build.
Runs Locally
AI stays on your machine. Zero cloud dependency. Full data privacy.
Idea-to-AI Builder
Describe your goal. Get a complete, runnable local AI package.
Knowledge Vault
Upload documents. AI indexes, remembers, and retrieves from your data.
Custom Agents
Purpose-built agents for your workflow — not generic chatbots.
Privacy First
Your data never leaves your environment. No logging. No telemetry.
Universal Format
Generated packages work across Linux, macOS, and Windows.
Train Agents With Your Knowledge.
Not every business needs a new AI model from scratch. Most need a custom AI agent that understands their documents, products, rules, and workflows.
Intelliyah is designed to turn business knowledge into agent memory using RAG, vector search, prompt rules, and tool-connected workflows — so agents answer accurately from your data, not from generic training data.
What agent training actually means
Document Knowledge Training
PDFs, notes, policies, research files, product catalogs, FAQs, and business documents — uploaded and indexed into agent memory.
RAG + Vector Memory
Embeddings, Supabase pgvector, and semantic search power accurate knowledge retrieval — agents answer from your data, not generic training.
Workflow Rules & Prompts
Teach agents how to follow business logic, response style, task sequences, escalation rules, and domain-specific decision boundaries.
Tool-Connected Agents
Prepare agents to work with email, forms, databases, dashboards, APIs, and automation tools — moving beyond chat into real workflows.
Advanced Fine-Tuning
Future / CustomFuture and custom enterprise option: train or fine-tune language models on your dataset when the GPU capacity, evaluation pipeline, and data volume are ready. This is an advanced service, not a standard offering.
Ready to train an agent on your knowledge?
Share your documents, workflow, or use case. I'll design a custom agent training pipeline that fits your business.
Start Agent TrainingFrom Idea to Local AI in Minutes.
Drop your idea. Intelliyah understands the goal, designs a custom AI assistant, prepares the knowledge workflow, and previews a local-first package structure.
Your idea:
"A local AI assistant that helps me analyze my customer support tickets and suggest responses based on my product documentation."
Goal detected
Support ticket analysis
Agent type
Document RAG + Response Generator
Knowledge prep
PDF ingestion pipeline ready
Package structure
Generating local bundle...
Your Data. Your AI Memory.
Securely store documents, notes, agent memory, and vector-based knowledge so AI agents can search, remember, and answer from your owned data.
Documents
PDFs, notes, markdown
Agent Memory
Persistent chat context
Private Storage
Zero external transfer
Local Index
pgvector RAG engine
Why Local-First Wins.
Local AI (Intelliyah)
Our ApproachCloud AI
Built for Everyone Who Builds.
Whether you're a researcher, developer, business owner, or student — Intelliyah meets you where you are.
Researchers & Writers
Upload your research papers, notes, and references. Build a personal AI that answers from your own knowledge base.
Small Business Owners
Create a document chatbot for your products, FAQs, and internal knowledge — no technical setup required.
Developers & Engineers
Build local AI tools for code review, documentation, and workflow automation without cloud API costs.
Healthcare & Wellness
Private, local-first AI systems that process sensitive medical data without any cloud exposure.
Educators & Students
Build custom study assistants that learn from your course materials and answer domain-specific questions.
Enterprise & Teams
Deploy private AI agents with team-ready workspaces and custom knowledge bases — no vendor lock-in.
Connect AI Agents With Real Business Tools.
Custom AI becomes more powerful when it can act inside a workflow — not just chat.
Intelliyah can connect agents with forms, email, databases, dashboards, notifications, and business pipelines using n8n, Supabase Functions, custom Python workers, or future Rust automation services.
Automation examples
Automation tools & integrations
n8n Automation
Open workflow automation for connecting apps, APIs, databases, and AI agents. Self-hostable, no vendor lock-in.
Supabase Edge Functions
Database-triggered backend automation, cron jobs, secure server logic, and real-time database events.
Python Workers
AI processing, document parsing, embeddings, summaries, and background tasks — flexible and production-ready.
Rust Automation Engine
Future local-first, high-performance automation for package building, system orchestration, and low-latency workflows.
Zapier / Make / Pipedream
Alternative automation platforms for client-specific workflows, third-party integrations, and no-code pipelines.
Node-RED
Future-friendly option for IoT, robotics, sensors, and local hardware automation integrated with AI agents.
Automate your AI-powered workflow.
Bring your workflow idea. I'll design the automation pipeline and connect your AI agents to the right tools for your business.
Simple, Transparent Pricing.
Planned tiers for when the platform launches. Contact us now to get early access or discuss custom needs.
Free· Hobby
Start building local-first AI projects and explore the platform.
Pro
For builders who want more power and flexibility.
Custom· Enterprise
For advanced deployments, private AI infrastructure, and enterprise needs.
Intelligence That Expands Everywhere.
Today, Intelliyah starts with local-first AI agents, knowledge systems, and human-centric software. Tomorrow, the same intelligence layer can expand into physical and spatial systems — AI-assisted robotics, autonomous drone workflows, and satellite-aware intelligence systems.
AI-Based Robotics
Exploring intelligent physical assistants and automation systems that leverage the same local-first AI intelligence layer built for software agents.
The same reasoning and perception systems powering Intelliyah agents could, in future research, be adapted for robotic perception, planning, and action execution.
AI-Assisted Drones
Investigating AI-native drone systems capable of autonomous perception, terrain navigation, inspection workflows, and field intelligence.
Future research direction for applying multimodal vision models and edge AI inference to unmanned aerial systems for inspection, monitoring, and field intelligence.
Satellite-Aware Intelligence
Long-term research into geospatial AI, remote sensing data analysis, and large-scale environmental intelligence systems.
Exploring how AI can process satellite imagery and geospatial data for environmental monitoring, infrastructure analysis, and planetary-scale intelligence.
Software intelligence today. Physical intelligence tomorrow.
Robotics is a long-term direction for extending AI agents into real-world assistants and automation systems.
From local AI agents to future intelligent systems — the journey starts here.
Every tool built today is a foundation for the intelligent systems of tomorrow. Intelliyah is the launchpad.
Next Vision: Self-Boot Virtual Self
Beyond custom AI agents, the next vision is a Self-Boot Virtual Self — a personal AI layer designed to understand a person’s knowledge, workflow, writing style, and goals. It begins as a digital shadow agent for task assistance, document reasoning, memory, and workflow support, with long-term research toward physical robotic embodiment.
Digital-first vision now. Physical embodiment remains a long-term research direction.
Personal Knowledge Memory
Learns from documents, notes, workflows, and project context — building a persistent intelligence layer that understands your domain at a deep level.
Shadow Agent Workflow
A parallel agent layer that assists with tasks, planning, writing, research, and decision support — running alongside your work without disrupting it.
Local-First Personal AI
Private memory, local intelligence, and user-owned data — your digital self stays on your hardware, fully portable, zero cloud exposure.
Future Robotic Embodiment
Long-term research direction for extending digital intelligence into physical assistants — bridging software agents and real-world automation. Not a current product.
Ready to build your local AI?
Get in touch to discuss your project, request early access, or start with a custom AI system consultation.
From local AI agents to future intelligent systems — the journey starts here.
Every tool built today is a foundation for the intelligent systems of tomorrow. Intelliyah is the launchpad.