Enterprise AI Solutions
Custom AI development for your business
Olib AI builds production AI that does real work: answering customers, automating processes, understanding images and documents, and running autonomous agents. We move the intelligent layer to the edge so you get powerful features with total privacy, independence from cloud vendors, and dramatically lower running costs.
Enterprise AI Solutions
Custom AI built for your business, not off a shelf
Custom AI for your business is what Olib AI does. Everything else, the clinic phone agents, the browser automation engine, the autonomous agents, the on-device chess app, is our portfolio. We built those consumer products to prove, in public, what we can build for you.
So every capability below isn't a promise, it already ships in something we made. Bring us your problem and we'll design, train, and deploy production AI tuned to your data, your workflows, and your privacy requirements.
We believe the future of AI is ethical, private, and local. Olib adds a secure, intelligent layer to your existing platform, moving the smart parts to the edge, so you ship powerful AI features with total data privacy, independence from cloud vendors, and dramatically lower running costs.
What we can build for you
Six core capabilities, each one already shipping in a product we made.
Conversational & Voice AI
AI agents that answer phone calls, live chat, SMS, and email 24/7, booking appointments, qualifying leads, and resolving support in natural language across every channel.
Browser & Workflow Automation
We automate the web and your back office, data extraction, form filling, RPA, and legacy-system sync, powered by our own high-performance browser engine that scales to thousands of sessions.
Autonomous AI Agents
Long-running agents that reason, plan, and use your tools to complete multi-step work, built on our Rust agent platform with persistent memory and enterprise-grade safety.
Computer Vision & Custom Models
We train and ship custom neural networks tuned to your data, image classification, object detection, OCR, and document understanding, from dataset to deployed model.
On-Device & Mobile AI
Heavy AI that runs entirely on the phone, trained neural networks, vision pipelines, embeddings, and full LLM assistants. No server, works offline, and nothing leaves the device. Shifting the compute to the user’s hardware means your backend cost drops toward zero. The same approach runs in your own cloud when you need it.
Data, RAG & Analytics
Turn documents, calls, and conversations into searchable knowledge and decisions, retrieval-augmented search, predictive analytics, fraud detection, and dashboards that people actually use.
Why companies build with Olib AI
We build our own engines
Not an API reseller. Conversational AI, a browser automation engine, an autonomous-agent platform, and trained neural networks, all built in-house.
On-device by default
We move the intelligent layer to the edge, onto your users’ devices, so it stays private, low-latency, and works even with no connection.
Drastically lower running costs
When the device does the work, there is no backend server processing every request, so cloud and inference bills that used to scale with usage drop toward zero.
Ethical & independent by design
Zero telemetry, no third-party marketing SDKs, accounts only when you need them, and no lock-in to a single cloud AI vendor.
End-to-end delivery
From data and model training to integration, deployment, and ongoing tuning, one team owns the whole pipeline.
Integrates with your stack
REST, WebSocket, MCP, and SDKs, plus custom connectors for the legacy systems and tools your business already runs on.
Industries we serve
Don't see your industry or exact use case? If your business has a repetitive task, a flood of messages, a pile of documents, or a process that should just run itself, we can almost certainly build something for you. Tell us the problem; we'll figure out the AI.
How we work
A clear path from your problem to production AI, with the ROI on the table from day one.
Scope & ROI
We learn your workflow, data, and constraints, then scope a solution and the return it should deliver, before you commit to a build.
Build & train
We build on our own engines and train models on your data, with working checkpoints you can see and test along the way.
Deploy & tune
We ship it into your stack, on-device or in your cloud, then monitor, measure, and keep improving it in production.
Ready to automate what's slowing you down?
Tell us about your business and the problem you want solved. We'll scope a custom AI solution and show you what's possible, no tech jargon, just results.
Frequently asked questions
What does Olib AI build for businesses?
Olib AI designs, trains, and deploys custom AI systems: conversational and voice agents, browser and workflow automation, autonomous AI agents, computer vision and custom models, on-device and mobile AI, and data, RAG, and analytics. We build on our own engines and train our own models, so you get production AI tuned to your data and workflows.
What is on-device AI and why does it lower cost?
On-device AI runs the intelligent layer on the user’s phone, browser, or hardware instead of a cloud server. Because the device does the work, there is no backend server processing every request, so cloud and inference bills that used to scale with usage drop toward zero. It also keeps data private and works offline.
Do you only do custom work, or do you have products?
Both. Our consumer products (Fase AI, Owl Browser, StealthOS, Pod Control, steffi.ai, and Knight Rise) are our portfolio: public proof of what we can build. The same capabilities power custom AI solutions we deliver for businesses.
Which industries does Olib AI serve?
Healthcare and dental, legal, finance, e-commerce and retail, logistics, real estate, SaaS, and customer support, among others. If your business has a repetitive task, a flood of messages, a pile of documents, or a process that should run itself, we can almost certainly build something for you.
How does an Olib AI project work?
Three steps: we scope the solution and its ROI, build on our engines and train models on your data with checkpoints you can test, then deploy into your stack (on-device or in your cloud) and keep tuning it in production.