About
Digiterrarium
We're building next generation AI technology that runs on your hardware, under your control. No cloud lock-in. No data sharing. Just raw inference power locally done which is responsibly deployed. Built 100% by engineers who get it. This is Digiterrarium.
The Story.
How we got here.
Digiterrarium started as a frustration where many applciation are just using a AI wrappers which spends millions on cloud infrastructure and tokens which passes the cost to the end user. There must be a better way to make AI more accessible to more users.
We realised the problem wasn't technology. It was architecture. The industry had accepted a fundamental compromise: convenience at the cost of control.
So we built Digiterrarium. A platform where AI runs on your hardware, under your rules, with complete transparency. No black boxes. No vendor lock-in. Just raw inference power, responsibly deployed to your constraints.
Built by engineers who get it.
Real experience. Real conviction.
Computer Science → AI MSc
UWE Bristol → University of Bath
First-class Computer Science degree grounded in theory. Now pursuing an MSc in AI while shipping real products. That's not a resume gap — it's the intersection of rigorous thinking and practical building.
Active Development
Research + Release Cycle
We don't separate research from products. We publish what we learn. We ship what we build. We iterate on real feedback. This isn't a startup that build but actively researching and pushing the boundaries of what's possible with local AI inference and renforcement learning in production environments.
Our Convictions.
Non-negotiable principles.
Privacy first.
Your personal identity is never our product. While we use anonymized data to power and improve your experience, we never track, log, or sell your personal information. You get the insights you need with the absolute sovereignty you deserve.
Hardware freedom.
Run on your servers. Your GPUs. Your edge devices. No proprietary platforms. No vendor-specific APIs. Localy runs on Phones and Laptops.
Transparency by default.
You should understand how your models work. See the decisions. Audit the logic. No black boxes. No "the AI decided so." Transparent decision-making.
Engineering hype.
We solve hard problems. We build systems that work. We don't chase trends. We focus on what's real, what's useful, what lasts no hype trains.
AI assisits humans not repalce them.
Ethics aren't optional. They're fundamental what make us different.
The Silicon Valley narrative is broken. "Replace humans with AI" isn't progress — it's abdication of responsibility. We're building AI that makes humans better, more capable, more informed. Tools that amplify judgment, not automate it away.
Humans stay in control.
Critical decisions remain with people. AI provides recommendations, analysis, insights. Never autonomy without oversight.
Transparency is non-negotiable.
Users know when they're interacting with AI. They understand the confidence levels. They can see the reasoning. No deception.
Bias detection is built-in.
We ensure fairness for all users. Protected Characteristics are protected so no bias models
Impact matters more than scale.
We're building systems that actually help, sustainably, responsibly for the greater good.
Why this matters.
The problem we're solving.
Vendor lock-in is a liability.
When your AI infrastructure depends on one provider, you're not in control the providers are.
Privacy regulations are real.
HIPAA, GDPR, CCPA — these aren't optional. Local inference isn't just faster, it's compliant by design.
Cloud costs are insane.
Running inference on your own hardware is dramatically cheaper. No middleman. No margin markup.
AI should be tailored to your needs.
Every organization has unique challenges and goals. Our AI solutions are designed to adapt to your specific use cases.
Reinforcement Learning. Real world.
Not theory. Not papers. Real applications.
We're actively researching reinforcement learning applications in production environments. Not toy problems. Real constraints. Real performance metrics. We're building agents that solve actual business problems — optimisation, decision-making, autonomous systems that work in the messy real world.
Active Research
Real-world RL applications. Supply chain optimisation. Resource allocation. Dynamic pricing. Systems that learn and adapt.
Production Tested
Not just algorithms. Real systems running in production. Real feedback loops. Real improvements.
Never Stop Innovating
We're constantly pushing. New techniques. New architectures. Always learning. Always improving.
Built for people. Not venture capital.
Your private data is yours. Your trust matters. We never stop innovating.
We Don't missuse your Personal Data
Your private data is yours. We never sell it. We never share it without your explicit consent. We're committed to protecting your privacy.
✓ Transparent pricing
✓ No lock-in contracts
✓ Industry best practices
✓ Never stop improving
We Care. We Innovate.
We're not complacent. We're not staying still. Sustainable business model. Continuous improvement. We care about relationships, not quarterly metrics.
✓ No predatory pricing
✓ Real support & hand-holding
✓ Never stop improving
✓ Building for the long-term
Growing a movement.
This is bigger than one founder.
People waiting to join
Engineers, researchers, and builders who are tired of the status quo. People who want to work on something real, not chase VC metrics.
We're not hiring for the sake of it. We're building a team that deeply believes in what we're doing.
We're building the next generation of AI applications
Looking for investors who understand that the future of AI isn't a few monopoly platforms. It's decentralised, local, and transparent.
We want partners, not passengers. Investors who believe in what we're building.
Founder: Real academic foundation.
Theory and practice, combined.
Education
MSc Artificial Intelligence
University of Bath (BCS accredited)
Reinforcement Learning, Deep Learning, NLP, Classical AI, Applied AI
BSc (Hons) Computer Science
University of the West of England • First Class (BCS accredited)
AI systems, distributed systems, advanced algorithms, databases
Technical Stack
Languages
Go, Python, Rust, Java, C++, JavaScript/TypeScript
ML/AI
TensorFlow, PyTorch, Scikit-learn, RL (Rainbow DQN), CNN architectures
Full Stack
React, Next.js, Docker, PostgreSQL, CI/CD, Linux systems
The road ahead.
What's next.
Reinforcement Learning
Agents that learn. Systems that adapt. Moving beyond static inference into dynamic, intelligent automation.
Multi-Modal Systems
Vision, language, audio — all running locally. Unified intelligence. No fragmentation across models.
Proprietary Integrity
Built on a foundation of ethical transparency. Secure, private architecture designed to deliver high-performance AI without compromise.
Ready to join the movement?
Engineers. Investors. Builders. We're looking for people who believe in what we're doing.