Turn AI chaos into control. Models, agents, data, governance and compliance — unified in one modular platform built for the age of autonomous intelligence.
The real challenge
Most companies already have access to powerful models, copilots and automation tools. The problem is that every initiative becomes isolated: different vendors, disconnected data, unclear ownership, fragmented governance and costs that are hard to control.
Enterprise AI is moving from experimentation to operations. But without a common operating layer, organizations accumulate AI islands: useful locally, difficult to scale globally. Each new model, agent or tool requires new integrations, security reviews, cost controls, monitoring and compliance checks. The result is slower delivery, higher technical debt and limited business impact.
Copilots, chatbots and automations grow independently across teams, without shared standards, memory, policy or lifecycle.
Every new use case requires custom engineering across data, identity, systems, APIs, observability and release management.
Closed ecosystems limit model choice, increase dependency and reduce the ability to optimize cost, quality and roadmap.
When official channels are slow, teams use unmanaged tools. Sensitive data, logs and decisions become hard to control.
AI Act, GDPR and internal policies require traceability, accountability and risk controls that are rarely built into isolated tools.
Token usage, API calls, cloud workloads and external services become variable costs without budget ownership or chargeback.
AGI-ONE solves this at the architectural level: not by adding another AI tool, but by providing the operating layer that makes AI governable, scalable and continuously updatable.
Models, agents, tools, data, knowledge, governance and compliance evolve too fast to be managed as isolated projects. AGI-ONE gives companies a modular control layer to integrate them once, govern them centrally and reuse them across business units.
AGI-ONE does not replace your existing systems, cloud strategy or AI providers. It sits above them as an enterprise AI operating layer: model-agnostic, cloud/on-prem ready, agent-based and governance-first. Every new AI capability can be connected, monitored, secured and exposed to users through reusable services and controlled workflows.
Connect models, APIs, tools, data sources and enterprise systems through standard gateways instead of rebuilding custom integrations for every use case.
Apply access policies, audit trails, compliance checks, cost limits and observability across models, agents and workflows from one control plane.
Turn every integration, workflow and agent into a reusable building block for new business units, domains and internal services.
Adopt new models, providers and AI capabilities in days, not months, without locking the company into a single vendor or architecture.
AGI-ONE is built as a set of independent but coordinated pillars. Each pillar solves one structural problem of enterprise AI: model abstraction, agent orchestration, tool integration, governed data access, enterprise knowledge, communication, observability and compliance.
From every business request to every AI action, AGI-ONE routes the work through the right model, agent, tool, data source and governance policy.
Use cloud and local models through one standard layer, with routing, fallback, cost control and model assignment by policy.
Connect enterprise knowledge, documents and memory with secure retrieval, traceability and contextual responses.
Expose tools, APIs and enterprise systems to agents through standard, permissioned and auditable integrations.
Coordinate messaging and workflow interactions across email, Slack, Teams, WhatsApp, Telegram and enterprise channels.
Give agents governed access to datasets, data products and business sources with metadata, policy, lineage and controlled ingestion.
Organize generated content, uploaded files and reusable assets across local storage, cloud storage and knowledge workflows.
Trace every interaction, monitor performance, enforce policies and control AI usage costs by team, BU, project or environment.
Support AI Act, GDPR and internal policy alignment with auditability, human-in-the-loop guidance and risk-aware workflows.
AGI-ONE is model-agnostic and open by design. It orchestrates leading external AI providers and best-of-breed open-source services — none of them built by us, at most customized where needed — with central governance, observability and cost control. No vendor lock-in.
OpenAI, Anthropic, Gemini, Mistral, Grok, DeepSeek and Qwen, plus local Ollama and ComfyUI — for text, image, video and audio.
Email, Telegram, WhatsApp and Slack for human-in-the-loop approvals and agent notifications.
PostgreSQL, BigQuery, Databricks, HuggingFace, OpenAlex and Kaggle through a governed, access-controlled catalog.
CrewAI, LangChain, LangGraph and MCP tools, with an optimized persistent memory for long-running agents.
Grafana, Prometheus, Loki, Jaeger, ClickHouse and Langfuse — fully open-source and self-hosted.
Keycloak, Qdrant, Redis, MinIO and n8n — deployable on cloud, private cloud or on-premise.
AI-ONE is the operational assistant of AGI-ONE: a single enterprise interface that understands business requests, selects the right agents, routes work through the platform pillars and returns governed, traceable outputs.
Instead of asking users to choose the right model, tool, workflow or data source, AI-ONE acts as the intelligent front door of the platform. It interprets the request, decomposes it into actions, activates the right agents and services, and coordinates execution through AGI-ONE's gateways, knowledge layer, data layer and governance controls.
From the user perspective, it feels like a powerful assistant. From the enterprise perspective, it is a controlled orchestration layer: every action can be routed, monitored, permissioned, audited and improved over time.
AI-ONE is not another chatbot. It is the orchestration interface that turns enterprise requests into governed AI workflows.
AI-ONE reads the user intent, context and desired output, then transforms the request into an executable plan.
It can call agents, models, tools, knowledge bases, datasets and communication channels through the AGI-ONE control plane.
Every step can be logged, traced, cost-controlled and aligned with enterprise policies, instead of happening in an unmanaged AI tool.
As AGI-ONE evolves, AI-ONE becomes the layer where enterprise users, agents and future AGI-class capabilities cooperate inside a controlled operating environment.
The Sovereign Intelligence Ecosystem
Specialized capabilities across office, research, and media — one modular workspace. Click a card to see models and workflow.
Ready-to-use AI capabilities, built on the AGI-ONE operating layer. AGI-ONE comes with a growing catalog of agents, services and reusable building blocks. They are not isolated tools: each capability runs through the same governed architecture for models, data, knowledge, tools, observability and compliance.
Companies can start immediately with common enterprise use cases — reporting, research, document intelligence, media generation, knowledge operations and workflow automation — while reusing the same platform foundations to build custom agents for their own processes.
One thing to know before you browse: every agent in this catalog was designed, built and shipped by the platform's own AI Factory — in days, not months. This grid is not a product roadmap. It is the proof of how fast new capabilities are built on the operating layer.
Board-ready narratives from structured data and notes.
Turns spreadsheets, slides, and briefs into polished executive reports with sections, KPIs, and citations.
Models: always up-to-date from the world's leading providers (American, Chinese, and Open Source).
Ask in natural language; get charts, tables, and explanations.
Explores datasets with guided reasoning — from profiling to hypothesis to visual insight.
Models: always up-to-date from the world's leading providers (American, Chinese, and Open Source).
Monitor AI innovations with automatic summaries, translations, and real-time trend analysis.
Intelligent dashboard to stay updated on the global AI landscape, with automatic key point extraction.
Models: always up-to-date from the world's leading providers (American, Chinese, and Open Source).
Explore, query, and summarize complex PDF documents with chapter-based navigation.
Augmented reading environment for handling extensive documents: navigate through chapters and query the AI on specific content.
Models: always up-to-date from the world's leading providers (American, Chinese, and Open Source).
Transform video, audio, images, and documents into structured summaries and strategic analysis.
Multimodal hub for extracting value from any source: transcribes, summarizes, and analyzes complex content.
Models: always up-to-date from the world's leading providers (American, Chinese, and Open Source).
Organize, monitor, and manage priorities for activities and delegated jobs.
Centralized hub to govern personal tasks and delegate complex jobs to other platform agents.
Models: always up-to-date from the world's leading providers (American, Chinese, and Open Source).
From text or XML to editable draw.io-ready structures.
Ideal for process maps, cloud landings zones, and data-flow blueprints.
Models: always up-to-date from the world's leading providers (American, Chinese, and Open Source).
Campaign and product visuals — cloud APIs or local diffusion stacks.
Generates and iterates images with style-locked prompts and safe defaults.
Models: always up-to-date from the world's leading providers (American, Chinese, and Open Source).
Storyboard → clip generation with timing and style controls.
Coordinates prompts, keyframes, and render jobs across GPU workers.
Models: always up-to-date from the world's leading providers (American, Chinese, and Open Source).
TTS, dubbing hooks, and sonic branding with low latency.
Produces narration, podcasts, and UI voiceovers with consistent personas.
Models: always up-to-date from the world's leading providers (American, Chinese, and Open Source).
Meshes, textures, and turntable previews from prompts or images.
Accelerates product viz and concept art hand-off to DCC tools.
Models: always up-to-date from the world's leading providers (American, Chinese, and Open Source).
Edit, resize, and convert images with real-time preview and resolution control.
Versatile tool for managing visual assets: resize, convert, and optimize images for every channel.
Models: always up-to-date from the world's leading providers (American, Chinese, and Open Source).
Convert and optimize audio files with size estimation and immediate preview.
Audio processing pipeline to transform multimedia files into optimized formats for storage and listening.
Models: always up-to-date from the world's leading providers (American, Chinese, and Open Source).
Transform complex documents (PDF, DOCX, PPTX) into clean Markdown optimized for RAG systems.
The bridge between your documents and AI: extracts text and structure, transforming them into RAG-ready Markdown.
Models: always up-to-date from the world's leading providers (American, Chinese, and Open Source).
Import your conversation history from ChatGPT, Gemini, and Claude into the corporate database.
Unify your scattered knowledge: import and index conversations from the market's leading AI assistants.
Models: always up-to-date from the world's leading providers (American, Chinese, and Open Source).
New agents available in the marketplace. Enterprise AI Division builds custom agents and integrations on demand.
AGI-ONE is not a static SKU list — the catalog evolves with your subscription tier and roadmap.
Models: Entire gateway catalogue — swap providers without retooling agents.
AGI-ONE does not only provide technology. It provides a repeatable operating model to design, build, validate, deploy and maintain enterprise AI agents and services.
Most companies do not fail at AI because they lack ideas. They fail because every new agent or workflow requires architecture, integration, data access, security review, testing, deployment, documentation, monitoring and continuous maintenance.
AGI-ONE addresses this gap with a virtual AI Division: a coordinated set of specialized staff agents and operating standards that help transform business needs into production-ready AI capabilities.
This is not a slide. The AI Division — 25+ specialized staff agents covering architecture, engineering, security, data, QA, observability, product and operations — built and maintains AGI-ONE itself: 1.47 million lines of code, 72 microservices and 27 agents, orchestrated by a small human core. The platform is the factory's first product.
Define the right pattern for each use case: agent, workflow, service, data integration, RAG capability or enterprise automation.
Compose reusable building blocks, connect models, tools, data and business systems, and register new capabilities inside the platform.
Apply testing, documentation, observability, cost control, compliance checks, deployment standards and lifecycle management.
Keep agents and services updated as models, providers, regulations and business needs change.
From request to production
Think of it as an AI delivery factory: not just tools, but the operating discipline to create and evolve them.
In the Enterprise edition, this model includes a growing set of specialized staff agents across engineering, security, data, observability, QA, product and operations.
Customer Request & Enhancement Intelligent Management System — an AI-Native platform that autonomously governs every type of request: Bug Reports, Suggestions, Support, Change Requests and Enhancements. Built for external clients and internal teams alike, with humans supervising rather than driving.
Embeddable intake channel for every request type. Users open a guided conversation; C-One collects category, context and full conversation history, then hands off to the AI engine.
Auto-Triage polls requests every 120 s and classifies, prioritises and routes them autonomously. The Detector Agent runs in parallel, deduplicating and opening technical tickets without human intervention.
Requests enter CREIMS from two independent sources: the C-One widget (user-initiated) and Grafana / Alertmanager webhooks (automated infra alerts) — ensuring nothing slips through.
Deploys as an independent module with its own 5-container stack. Integrates with Jira, ServiceNow, ClickUp and Plane.so out of the box, and notifies teams via email, Telegram and WhatsApp.
Infrastructure & Data Control
AGI-ONE is cloud-agnostic, on-prem ready and designed for enterprise environments where data control, security, compliance and infrastructure flexibility matter.
Every company has different constraints: regulated data, internal security policies, existing cloud contracts, legacy systems, latency requirements, budget limits or strategic preferences. AGI-ONE is designed to adapt to those constraints instead of forcing a single deployment model.
It can operate with cloud AI providers, local open-source models, private infrastructure or hybrid architectures. Sensitive workloads can remain under enterprise control, while less critical workloads can use external models and services when quality, cost or speed make it convenient.
Run AGI-ONE on the infrastructure that fits your strategy: public cloud, private cloud, dedicated VPS, on-prem environments or hybrid deployments.
Use premium cloud models when they are the best option, or route selected workloads to local and open-source models when privacy, cost or autonomy require it.
Keep enterprise knowledge, files, datasets, logs and sensitive workflows inside controlled environments, with policy-based access and traceability.
Connect to existing identity, data, communication and operational systems without redesigning the company's architecture around one AI vendor.
AGI-ONE is not tied to a single model, provider or cloud. It is designed to let enterprises choose the right execution environment for each workload.
Under the hood, AGI-ONE is designed for containerized deployment and scalable enterprise operations, from Docker-based environments to Kubernetes-oriented architectures.
Trust Model
AGI-ONE is designed to help enterprises build a durable internal AI operating layer. Over time, the platform, its workflows, agents, integrations and knowledge structures can become part of the customer's own technology asset.
Most enterprise software creates dependency: long contracts, per-user licenses, proprietary workflows, hidden infrastructure margins and high switching costs. AGI-ONE is designed with the opposite logic. The goal is to help companies industrialize AI while progressively building an internal asset they can own, govern and evolve.
We monetize the value we continue to provide: professional support, customization, enterprise integrations, security hardening, AMS, updates, new agents, new functions and future pillars that extend the platform's capabilities. The customer keeps control of infrastructure, data, costs and long-term ownership.
Cloud, private cloud or on-prem infrastructure remains under the customer's control. AGI-ONE does not need to resell hosting with opaque markups.
Adoption can scale across teams and business units without forcing a traditional seat-based license model.
The implemented platform instance is designed to become a customer-owned AI asset after the agreed contractual period.
Additional value comes from clear professional services: customization, integrations, support, AMS, upgrades and new platform capabilities.
Customers can keep receiving new agents, functions, updates and pillars, but the strategic asset they build does not disappear if they reduce external dependency.
AGI-ONE is not a trapdoor into another closed ecosystem. It is a path to build, govern and eventually own an enterprise AI operating system.
Built for trust, control and long-term partnership.
Product horizon
Three horizons: solid foundations today, acceleration over the next year, and a credible path toward enterprise-scale AGI.
