Investors
We're raising to build the lab this market needs.
Oragonlabs is an AI research lab turning the efficiency frontier into sovereign, affordable systems for people, businesses and governments in emerging markets. If you invest in AI infrastructure and you think the next decade of adoption happens outside the countries that built the models, we should talk.
- Stage
- [Pre-seed / Seed]
- Raising
- [$X]
- Committed
- [$X]
The thesis
Why this, why here, why now.
The market that needs AI most is served last
Frontier AI is trained, hosted and priced in a handful of countries. Institutions across emerging markets, a combined population in the billions, are locked out by data-residency law, connectivity, and dollar pricing. That is not a niche; it is most of the world.
Efficiency just changed what's possible
Capable models now run on hardware that costs less than a monthly cloud bill. The constraint that justified centralised AI, the need for a data centre, is dissolving. Whoever industrialises that shift for these markets defines the category.
Sovereignty is becoming procurement policy
Governments are writing data-residency and AI-sovereignty requirements into law and tender documents. That converts our architectural position from a preference into a qualification criterion competitors cannot meet by adding a region.
Proximity is a defensible moat
Local languages, local regulation, local workflows and local engineers are not things a distant incumbent can add from a roadmap. The advantage compounds with every deployment.
The round
What we're raising.
- Stage
- [Pre-seed / Seed]
- Raising
- [$X]
- Committed
- [$X]
- Instrument
- [SAFE / equity]
Use of funds
- Research
- [%] for efficient models, on-device inference, local-language work
- Deployment engineering
- [%] for reference architectures and pilot delivery
- Go-to-market
- [%] for government and enterprise partnerships in [markets]
- Operations
- [%] for [runway in months]
Where we are
- Pilots in discussion
- [N]
- Institutional partners
- [N]
- Target markets
- [list]
- Team
- [N]
Detailed metrics, pipeline and financial model are in the data room, shared on request.
The materials
Teaser, deck and data room.
The teaser is a one-pager on the thesis and the round. The deck and data room (model, pipeline, technical roadmap and team detail) are shared after a short call.
In the data room
- Thesis and market sizing for [target markets]
- Technical roadmap and research agenda
- Product programmes and pilot pipeline
- Financial model and [runway] plan
- Founding team and hiring plan
- Data-handling and sovereignty policy
This page is provided for information only and is not an offer to sell or a solicitation of an offer to buy securities. [Confirm the wording and what you may publish with counsel. Rules on publicly advertising a raise vary by jurisdiction.]