We BuildAnything AI.
From intelligent agents to machine learning models. Oryn turns your most complex operational challenges into competitive advantages.
Powered by best-in-class AI infrastructure
WHAT WE BUILD
Every AI Challenge. One Team.
Every engagement is custom-built. Here is the range of what we tackle.
Agentic Workflows
We design and deploy AI agents that can plan, act, and adapt. They handle multi-step tasks across your tools without constant human supervision.
Machine Learning Models
From classification and forecasting to anomaly detection. We build, train, and deploy ML models tailored to your specific problem and dataset.
RAG Systems
Retrieval-Augmented Generation pipelines that connect language models to your documents, databases, and internal knowledge. Accurate, sourced answers every time.
Chatbots & Assistants
Intelligent chatbots and personal AI assistants embedded in your product, support stack, or internal tools. Built for real conversations, not just FAQs.
AI Consultancy
Architecture reviews, AI strategy sessions, and technology roadmaps. We help you cut through the noise and make the right decisions for your context.
Custom AI Projects
If your problem does not fit a template, we are in. From research prototypes to production systems. We work from first principles to build what you actually need.
What we actually build
Real interfaces.
Deployed in production.
Every engagement ships working software. Here's what it looks like.
Agentic Workflows
Agents that plan, act, and self-correct
We deploy autonomous agent pipelines that break down complex goals, use tools, and retry on failure — no human in the loop required.
- Multi-step task decomposition
- Tool use: search, code, APIs
- Memory across sessions
Goal received
"Summarise Q3 reports"
Planning 4-step strategy...
Calling tool: read_file('q3_report.pdf')
Synthesise findings
> Extracted 847 tokens
> Confidence: 0.94
> Proceeding to step 4...
Knowledge Base
[1] q3_finance.pdf p.4 [2] handbook_v2.pdf p.12
RAG Systems
Your docs. Instantly queryable.
We build retrieval-augmented pipelines that connect your internal knowledge — PDFs, wikis, Notion, Confluence — to an LLM that answers with citations.
- Ingests PDFs, Notion, Confluence, SQL
- Source citations on every answer
- Deployed on your infra or ours
Machine Learning
Models trained on your data
From classification to anomaly detection — we train, evaluate, and deploy ML models tailored to your specific problem and dataset.
- Custom model architecture
- Automated retraining pipelines
- Real-time inference APIs
Accuracy
94.7%
+2.1% vs baseline
F1 Score
0.923
Threshold: 0.85
Latency
12ms
p99: 28ms
How We Engage
From first call to
production.
Discovery Call
We learn your challenge, your stack, and your constraints. No pitch deck — just the right questions so we understand what you actually need.
Proposal & Scope
Within 48 hours you receive a clear written plan: what we will build, how long it takes, and what it costs. No surprises, no vague estimates.
Build & Iterate
We build in focused two-week cycles and keep you in the loop with demos and weekly updates. You see progress early and often.
Deploy & Support
We ship to production and stay available post-launch. Whether you want a full handoff or ongoing support, we work around your preference.
OUR WORK
Projects & Case Studies
Our work speaks for itself.
It's just not published yet.
We are packaging up the results from our first client engagements. Detailed case studies covering real problems, real solutions, and real numbers are on their way.
In progress
Building something you'd like us to write about? Get in touch →
Start a Project
Tell us what
you are building.
Tell us the challenge. We'll get back to you within one business day with a plan.