Think. Create. Execute.

One intelligence. One workspace. One place for everything.

Too many AI tools make people repeat context, choose models before they know which one is right, rewrite prompts and move work between separate apps. OYYO is building one controlled AI workspace where you describe the outcome and OYYO Intelligence coordinates the work, using native OYYO models, approved local or cloud intelligence, persistent knowledge, tools, agents, files and real business deliverables.

Native AI. Smart Prompt Knowledge. Portable local intelligence. Persistent memory. Controlled execution. Made in UAE.

Explore OYYO Explore Native Models For investors

Public engineering line 0.1.0 foundation. OYYO Core Runtime 0.2.0 dev.1 is running in active private development. Public release is not yet available, and every roadmap capability remains explicitly labelled.

oyyo.one, workspace

You

Launch our new smartwatch in France.

Understand the askWorking
Research the marketQueued
Draft the positioningQueued
Produce the deliverablesQueued
Save to project memoryQueued

Sensitive steps stay local, heavy steps go to the cloud. Balanced for speed, privacy and cost.

Artifacts

Launch strategy.docx
Budget model.xlsx
Launch deck.pptx
Campaign concepts

Provenance

Every artifact keeps its sources, decisions and the run that produced it.

The difference

The model is only one part of intelligence.

Your job should not be to operate AI. Today a person often has to choose a model, structure the prompt, repeat company context, move information between tools, assemble the final files and remember what happened last time.

OYYO is being built around the complete work loop. OYYO Intelligence understands the objective, OYYO Prompt Knowledge improves the instruction, OYYO Memory brings in relevant context, the runtime selects the permitted intelligence and execution mode, tools and agents perform approved work, outputs are checked, provenance is preserved and useful knowledge can be retained for next time.

A model can answer. OYYO is being built to carry the work.

OYYO Native Models

OYYO is building its own intelligence.

OYYO is developing a proprietary native AI model family designed specifically for the OYYO runtime, memory, tools, agents, language intelligence and real business workflows.

The goal is independence without isolation. OYYO native models are intended to power declared OYYO capabilities without permanent dependence on an external model provider. When another qualified local or cloud model improves a task and policy allows it, OYYO Intelligence can use that capability too. Independent when required. Collaborative when useful.

Explore OYYO Native Models

Engineering status, 15 September 2026

Running privately today. Building the complete product around it.

OYYO Core Runtime 0.2.0 dev.1 is already used internally for real development and testing, including local inference, model lifecycle foundations, API compatibility, streaming, embeddings, connector foundations, controlled tool execution, hardware reporting and provenance foundations.

Native Models, Benchmark, Active Knowledge, Prompt Knowledge, Operator Studio, portability and the broader product experience continue in parallel. OYYO is not generally available yet.

OYYO Core Runtime
0.2.0 runtime dev.1, active private development
OYYO Native Models
Foundation programme active, model family and qualification architecture defined
OYYO Benchmark
Foundation framework active
OYYO SDK
Public foundation interfaces for Python and TypeScript
Operator Studio
Product experience in development
Public release
Not yet public

One ask, complete work

You describe the outcome. OYYO carries the whole job.

Start with the outcome, not the tool chain. OYYO is designed to turn one request into research, decisions, actions, deliverables and retained knowledge, while keeping people in control of consequential steps.

“Launch our new smartwatch in France.”

Research market and competitors
Identify audiences
Define positioning
Build campaign strategy
Create channel plan
Write campaign copy
Translate and localize into French
Generate visual concepts
Create social calendar
Build launch presentation
Create budget spreadsheet
Save campaign knowledge for future work

One request. One context. One continuous piece of work.

The OYYO layers

One system, built as layers instead of separate apps.

OYYO Intelligence coordinates connected layers, Prompt Knowledge helps turn a normal request into model appropriate instructions, and the same context moves through research, creation, tools, memory and controlled execution.

Adaptive execution

Run intelligence where the work belongs.

OYYO is designed to choose among local, private, hybrid and approved cloud execution according to the task, hardware, privacy rules, latency, quality and cost. The portable workspace direction keeps knowledge, files, artifacts and eligible local model assets movable without mandatory cloud synchronization.

Local and hybrid runtime

oyyo.one, adaptive routing

Private document analysisLocal runtimeData stays on device
Long-form reasoningCloud modelHighest capability
Bulk classificationSmall local modelFast and cheap

You keep control of the execution mode. OYYO proposes; you decide.

oyyo.one, memory

Client: Northwind
Entity · 14 linked artifacts
Approved terminology
Glossary · 62 terms
Never use the word 'cheap'
Correction · applied automatically
Q3 pricing decision
Decision · sourced from board pack

Correct OYYO once. The correction is retained and reused.

Cumulative knowledge

The more you work, the less you should have to explain again.

OYYO Memory is being designed to preserve approved facts, entities, relationships, decisions, files, terminology, corrections, procedures and outcomes with scope and provenance.

How OYYO Memory works

Action with boundaries

Autonomy where useful. Control where necessary.

OYYO Agents use tools, code, browsers, connectors and MCP through explicit capability boundaries. Reading information is not the same permission as changing it, and consequential actions can require approval.

The agent model

oyyo.one, agents

Draft the supplier emailProposed
Update the campaign sheetApproved
Send to 4,200 contactsRequires approval

Nothing irreversible happens without a human decision.

Why OYYO

Built around the whole job, not a single answer.

A neutral orientation, not a claim that other platforms cannot perform a task.

One context
Context can fragment across apps, chats, files and modes.
A cumulative knowledge layer designed to carry approved context across the work.
One intelligence layer
The user chooses a model or tool before knowing what the task truly needs.
OYYO Intelligence is designed to understand the goal, improve the instruction through Prompt Knowledge, then select permitted models, tools and execution paths.
Local when it matters
Many AI workflows depend primarily on remote execution.
CPU first local execution, private deployment, hybrid routing, cloud choice and a portable workspace direction.
Business-native
General prompting can produce useful business content, but people still assemble much of the work around it.
Dedicated layers for research, documents, data, growth, language, code, media and controlled action in one context.
Evidence before branding
Model claims are often dominated by vendor benchmarks.
Model qualification uses reproducible evidence, compatibility, rights, real task success, reliability and hardware cost, not reputation alone.
Learn from corrections
A correction can remain trapped in one conversation.
Corrections, approved terminology and important decisions should become reusable knowledge instead of disappearing inside one conversation.

Full comparison orientation

Benchmark before belief

No model enters OYYO on reputation.

The OYYO Benchmark is being built to measure real task success, quality, repeatability and hardware cost across the capability families that matter to business work.

General reasoning
Business execution
Coding and terminal work
Tools, functions and agents
Documents, spreadsheets, presentations
Language and semantic translation
Memory and temporal knowledge
Image, audio and video understanding
Growth and marketing execution
Security and reliability
Hardware efficiency

The benchmark Model family

Think. Create. Execute.