01
Model Gateway
Connect your own models, locally hosted models or external AI services through a unified access layer.
Explore architecture →AI Enablement Platform · Russia
Operational AI for real organizations.
IngAI gives enterprises and institutions a unified environment to build, connect, govern and operate AI — across on-premise infrastructure, private cloud and secure API deployments.
FlexibleOn-prem · Private Cloud · API
ControlledPolicies · Audit · Permissions
Enterprise-readyTeams · Workflows · Integrations
Platform
One control layer for enterprise AI.
IngAI brings models, data, teams, workflows and governance into one operational platform—so AI moves from experimentation into managed production.
02
AI Workspaces
Give departments secure workspaces with approved models, files, knowledge sources, tools and permissions.
See use cases →03
Agent Operations
Create AI operators that use tools, follow workflows, request approvals and execute bounded enterprise tasks.
Governance →04
Knowledge Layer
Connect internal documents, databases and knowledge repositories to grounded AI experiences.
View stack →05
Policy Engine
Define access, role, model, tool and data policies at organization, workspace and application level.
Controls →06
AI Application Studio
Build internal assistants, document intelligence, workflow automation and domain-specific AI applications.
Request demo →Deployment
Your infrastructure. Your operating model.
Choose how IngAI runs based on security, data residency, infrastructure and operational requirements.
01
On-Premise
Run the platform inside your controlled infrastructure and integrate it with internal systems and locally hosted models.
Local infrastructurePrivate data pathInternal system integration
02
Private Cloud
Deploy a dedicated platform environment in your preferred private or regional cloud infrastructure.
Dedicated environmentScalable computeCentralized management
03
Secure API
Use approved external AI capabilities through governed API connections while keeping enterprise controls in IngAI.
Fast integrationModel choicePolicy-controlled access
Architecture
Built as an enablement layer, not another isolated AI tool.
IngAI sits between enterprise users and the underlying AI ecosystem, giving organizations one place to control access, workflows, models, knowledge and operational policies.
Experiences
AssistantsEnterprise AppsAutomation
IngAI
AgentsPoliciesKnowledgeAudit
AI Layer
Local ModelsPrivate ModelsAPIs
Enterprise
DataFilesSystemsIdentity
Use Cases
From AI access to AI operations.
Deploy governed AI experiences across departments without forcing every team to build its own stack.
01 · Enterprise
Internal AI Assistant
Secure employee access to approved models and organizational knowledge.
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02 · Documents
Document Intelligence
Extract, compare, summarize and route information from high-volume document workflows.
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03 · Operations
AI Workflow Automation
Use agents and tools to support controlled multi-step business processes.
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04 · Sector
Domain AI Applications
Build specialized AI experiences for finance, industrial operations, education, healthcare and public-facing services.
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Governance
Control is part of the platform.
IngAI is designed around bounded access, accountable operation and organizational control over how AI is used.
Role & Access Control
Manage who can use specific models, tools, data sources and applications.
Identity-awareHuman Approval
Require review or approval before sensitive actions are completed.
Human-in-the-loopAudit & Observability
Track model usage, workflow events, access decisions and operator activity.
Traceable operationsData Boundaries
Separate organizational, departmental and application-level knowledge and permissions.
Policy-based isolationIngAI · Russia
Build your organization's AI operating layer.
Start with a focused department, a secure internal assistant or a high-value workflow—and expand from one governed platform.