ERGOUZI PRODUCT PORTFOLIO06 NODES

From model access,
to real products and scenarios

Ergouzi builds an AI product portfolio for developers, teams, and devices—from API services and local development environments to consulting, private infrastructure, edge deployment, and physical products.

Explore the product portfolio Open API console

06: Product and service nodes
DEV: Developers and engineering teams
EDGE: Cloud, private, and edge

PRODUCT MAP / 2026ONLINE

01API ServicesAI API Services 02Local IDELocal IDE Deployment 03Enterprise ConsultingEnterprise Consulting 04Private DeploymentPrivate Deployment 05Edge DeploymentEdge Deployment 06AI ToyAI Toy Products

API → SOFTWARE → SERVICE → DEVICEPORTAL.ERGOUZI.LIFE

PRODUCTS & SERVICES

Six product nodes,
organized by the path to delivery

The API is an entry point, not the whole story. Explore Ergouzi from foundational access and developer tools to enterprise delivery and device-side scenarios.

01 / 06Available

AI API Services

API Services

Connect leading models through one compatible API and manage keys, usage, and billing in a single console.

A unified AI API service for developers and teams. Reduce migration costs between model protocols while keeping usage, balance changes, and orders transparent.

OPENAI BASE URLhttps://ergouzi.life/v1

Open API console View product details

ERGOUZI / NODE 01Core product

01
One model gateway
Call GPT, Claude, Gemini, Grok, and other models through one stable interface.
02
Key and quota management
Create purpose-specific keys, set quotas, and separate individual and team usage clearly.
03
Traceable billing
Review request-level usage, balance changes, and order records without opaque costs.

OpenAIClaudeGeminiGrok

02 / 06Available

Local IDE Deployment

Local IDE

Bring multi-model capabilities into a local development environment without abandoning familiar code, terminal, and project workflows.

A controlled multi-protocol workspace for local development and AI-assisted programming, with workspace-aware experiences and cross-platform delivery.

View the GitHub project View product details

ERGOUZI / NODE 02Developer workspace

01
Configure with one token
Reuse Ergouzi API services and reduce configuration overhead across models and tools.
02
Built for real engineering
Organize AI around repositories, terminals, files, and collaborative tasks—not an isolated chat box.
03
Cross-platform delivery
Support mainstream desktop systems with packages that teams can distribute and upgrade.

Local firstMulti-protocol modelsCross-platform packagesGenerative interfaces

03 / 06Available

Enterprise Consulting

Turn model access, cost boundaries, and scenario validation into an AI system that works for the team.

For teams introducing generative AI, we provide architecture reviews, proofs of concept, cost and permission planning, and rollout support.

Contact consulting View product details

ERGOUZI / NODE 03From access to adoption

01
Validate the real problem first
Start from users, workflows, and data boundaries instead of inventing an AI project without a purpose.
02
Control cost and permissions
Define models, quotas, data boundaries, and organizational permissions for sustainable use.
03
Move from pilot to daily use
Turn a PoC into a maintainable, teachable, and measurable way of working.

Access planningGenerative AI PoCArchitecture reviewTraining and rollout

04 / 06Available

Private Deployment

Deploy model services, knowledge systems, and access control within your organization’s network and data boundaries.

For data-sensitive, isolated, or regulated environments, we design private model services, RAG, access control, and hybrid model architectures.

Discuss deployment needs View product details

ERGOUZI / NODE 04Run inside your environment

01
Environment and data boundaries
Define the deployment scope from network, identity, logging, and data requirements.
02
Model and knowledge services
Combine local models, external models, and enterprise knowledge without locking the architecture to one path.
03
Ongoing operations and upgrades
Include monitoring, permissions, cost, and version upgrades in the long-term operating model.

Private environmentLocal model servicesKnowledge base / RAGHybrid access

05 / 06Available

Edge Deployment

Run lightweight models on devices, gateways, and unreliable networks while coordinating with cloud capabilities.

For on-device and field scenarios, evaluate model size, inference performance, offline behavior, update paths, and cloud-edge boundaries.

Assess an edge scenario View product details

ERGOUZI / NODE 05Devices and gateways

01
Scenario and device assessment
Choose models and hardware from compute, power, network, and interaction requirements.
02
Offline-first design
Preserve critical capabilities when networks are unstable or unavailable, then synchronize when appropriate.
03
Scale from pilot to fleet
Design model and firmware updates, device monitoring, and operational paths for larger deployments.

Lightweight inferenceOffline capableCloud-edge coordinationFleet operations

06 / 06In development

AI Toy Products

AI Toy

Bring voice interaction, agent state, and physical feedback into desktop and everyday companion scenarios.

Explore physical desktop companions, voice interaction, reminders, and content safety so AI can become a perceptible partner beyond the screen.

Follow product progress View product details

ERGOUZI / NODE 06In development

01
Visible agent state
Use lights, motion, or screens to show what the agent is doing.
02
Natural voice interaction
Design around latency, interruption, and continuity for more natural companionship.
03
Safety and long-term maintenance
Include content boundaries, firmware updates, and ongoing service capability from the start.

Physical companionVoice interactionState feedbackLong-term updates

CHOOSE YOUR ENTRY

Choose the right entry point,
then bring AI into real workflows

Developers can begin with the API or local IDE, while teams can discuss consulting, private deployment, or edge deployment directly.

Start with the API Contact enterprise services

From model access,to real products and scenarios

Six product nodes,organized by the path to delivery