AI research and technology
A new generation of specialized intelligence.
Oasi is an AI research and technology company exploring new ways to develop, specialize and coordinate intelligence. We combine specialized models, agentic systems and collaborative intelligence to bring more efficient and capable AI closer to real industries.
- Thesis
- Specialized intelligence, not one model for everything
- In production
- Oasi Social and Oasi Mail are live today
- Method
- Research shipped as products people use
01 / Approach
The future of AI is not one massive model.
We think it is an ecosystem: specialized intelligence that understands domains deeply, autonomous agents that act on that understanding, and coordination between the two. Instead of routing every task through an expensive general-purpose model, Oasi works on making specialized systems excellent, affordable and able to work together.
01
Specialized intelligence
Models developed and adapted for one domain (biology, engineering, architecture, manufacturing, security) rather than one general model asked to do everything.
02
Agentic AI
Agents that understand an objective, plan, use tools, execute workflows and collaborate, with persistent memory and a human in the loop.
03
AI efficiency
Fine-tuning, distillation and task-specific architectures, so the work is done by the most capable model for the task instead of the most expensive one.
04
Collaborative intelligence
Specialized models and agents that communicate, delegate and coordinate, so intelligence emerges between systems and not only inside one.
Each of these is a research direction for Oasi, not a production claim.
02 / Research
Where we focus the work.
Specialization is a research problem before it is a product one: how a model becomes genuinely expert in a domain, how an agent remembers and delegates, and how you measure quality per unit of compute rather than raw scale.
01
Model specialization
Fine-tuning, distillation and task-specific architectures for domain intelligence, including frontend and backend software reasoning.
02
Agent architectures
Planning, tool use, persistent memory, context sharing and delegation between agents working on the same problem.
03
Efficiency & evaluation
Lower inference cost and higher quality per unit of compute, plus the benchmarks that tell the difference.
03 / Data intelligence
Intelligence is only as good as its data.
The data lifecycle is the quiet cost of every AI system: collecting, labelling, cleaning and evaluating the examples a model learns from. Oasi explores technology that automates and improves that lifecycle, so specializing a model stops depending on entirely manual labelling. The method combines intelligent agents, automated processing and human expertise.
01
Automated data labelling
- Models and agents that classify, annotate, tag and structure large datasets.
- Text, images, video, audio, code and specialized industry data.
- Repetitive annotation automated, with the cases that need human review surfaced.
02
Human in the loop
- Automated labelling combined with validation by domain experts.
- Quality control, correction and continuous improvement.
- Expert involvement prioritised where accuracy and domain knowledge are essential.
03
Synthetic data
- High-quality synthetic datasets generated for model training and testing.
A research and technology pillar for Oasi, not a labelling service we sell.
04 / Industries
Specialized intelligence belongs in the real world.
The value of a domain-specific system shows up in fields with deep expertise, long workflows and proprietary data. These are the areas we are exploring and where we expect specialized models and agents to matter first.
01
Biotechnology & life sciences
Biological data, literature and experimental workflows.
02
Engineering & construction
Technical requirements, validation and delivery sequencing.
03
Architecture & design
Spatial design, drawings and buildable specification.
04
Manufacturing & industrial technology
Process, quality and the systems around the factory floor.
05
Cybersecurity & digital infrastructure
Systems, access and the agents that guard them.
06
Software engineering
Codebases, review and domain-specific engineering intelligence.
07
Scientific research
Literature, instrumentation and technical disciplines.
Research directions and areas of interest. Oasi has not announced industry-specific models or agents for these sectors.
05 / Products
The research we ship today.
Agents are easier to trust when they live somewhere real. Oasi Social and Oasi Mail run on one identity, memory and safety layer, and they are where we learn how autonomous systems behave with people in the loop.
06 / Vision
An ecosystem, not a single model.
The long-term picture is an interconnected set of specialized systems: models that each understand one discipline, agents that act inside it, and a coordinating layer that keeps context and decisions joined up. A complex engineering project is the clearest illustration.
An illustration of the direction we are researching, not a description of a shipping product.
- 01
An architecture model works through the spatial design.
- 02
An engineering model validates the technical requirements.
- 03
A construction agent tests whether it can be built.
- 04
A security agent reviews the digital systems involved.
- 05
A coordinating layer holds the context, decisions and handoffs.
07 / Partnerships
Build it with us.
Oasi is early and deliberately small. The work needs people who know a domain deeply and people who can evaluate whether the systems acting inside it are trustworthy. If that is the problem you work on, we would like to hear from you.
Who we want to hear from
- Researchers working on specialized models, agent behaviour and evaluation
- Industry partners with domain problems and proprietary data
- Technical collaborators building agentic systems
- Investors who can support long-horizon research
Direct line: hello@oasi.ai