Enterprise-Grade AI
Built for Impact
Enterprise-ready AI engines designed to integrate seamlessly and deliver value faster.
Designed to Fit Your Workflow, Not Replace It
An AI platform where every AI solution runs on your company’s shared knowledge.
Layer 1
Business Layer
Engines are AI-powered applications built on AI Studio that solve one specific business problem for one specific group of users.
- Purpose-built UIs and workflows for business users
- Backend plugins that leverage AI Studio capabilities
- Where customers spend time and realize value
Layer 2
AI Hub
AI Hub is the AI fabric that powers every AI capability across our engines from LLM workflows to single and multi-agent systems and ensures they run reliably in production.
- Unified environment for models, LLM workflows, and single- & multi-agent systems (via Google ADK)
- Production-grade deployment across SaaS, customer cloud, or on-prem
- Agent tracing, logging, and real-time evaluation (Q1)
Layer 3
Data Hub
Data Hub is the data fabric that makes customer data usable by AI - securely connecting, understanding, and transforming data into AI-ready structures.
- Secure connections to hundreds of customer data sources
- Data profiling, understanding, mapping to an engine
- Mapping & Transforming data, enable customers to validate, route data to Engine backend
Layer 4
Governance Layer
The Governance layer ensures AI Studio and its engines meet enterprise expectations forsecurity, reliability, and operational visibility.
- Authentication, SSO, user management, and RBAC
- Centralized monitoring of platform and application health
- Production visibility using Prometheus and Grafana
Layer 1
Business Layer
Engines are AI-powered applications built on AI Studio that solve one specific business problem for one specific group of users.
- Purpose-built UIs and workflows for business users
- Backend plugins that leverage AI Studio capabilities
- Where customers spend time and realize value
Layer 2
AI Hub
AI Hub is the AI fabric that powers every AI capability across our engines from LLM workflows to single and multi-agent systems and ensures they run reliably in production.
- Unified environment for models, LLM workflows, and single- & multi-agent systems (via Google ADK)
- Production-grade deployment across SaaS, customer cloud, or on-prem
- Agent tracing, logging, and real-time evaluation (Q1)
Layer 3
Data Hub
Data Hub is the data fabric that makes customer data usable by AI - securely connecting, understanding, and transforming data into AI-ready structures.
- Secure connections to hundreds of customer data sources
- Data profiling, understanding, mapping to an engine
- Mapping & Transforming data, enable customers to validate, route data to Engine backend
Layer 4
Governance Layer
The Governance layer ensures AI Studio and its engines meet enterprise expectations forsecurity, reliability, and operational visibility.
- Authentication, SSO, user management, and RBAC
- Centralized monitoring of platform and application health
- Production visibility using Prometheus and Grafana
AI-powered, industry-specific solutions designed to solve real business challenges and drive measurable progress.
Building a secure, integrated intelligence foundation across your cloud and hybrid environments
Data Platforms
Maximize the return on your existing investments in cloud data lakes and warehouses. The relationship between your AI processes, data, and infrastructure is made simpler by comprehensive integrations and seamless data connections, which also guarantee compliance with your governance requirements.
Generative AI
Use API integrations to give your GenAI efforts flexibility and self-governing tools. Manage the choice of LLM, data security, and budget while maintaining vendor freedom. With Streamlit, you can easily prototype bespoke apps or seamlessly integrate generative AI into existing systems.
APIs and Services
Integrate data sources, make use of different LLMs, and incorporate generative and predictive AI applications into business processes all with ease—all without having to rewrite, repackage, or combine current AI assets. This simplified method minimizes the complexity of coding and restructuring while guaranteeing a smooth integration of AI solutions.
BI Tools Integrations
BI tools integrate with data warehouses, databases, ERP and CRM systems, cloud storage, APIs, Excel, and collaboration tools. These connections enhance analytics, supporting informed decision-making across diverse data sources.
Seamless Deployment
Customize the deployment of AI Studio to suit your specific requirements, whether it's on your premises, in a private cloud, or on a dedicated managed cloud. Tailor the AI Studio configuration to align with your unique needs and system specifications.
