A standalone orchestration platform built on Google Cloud, independent of any single application ecosystem. It horizontally connects, indexes and analyses data from distributed enterprise sources, automating complex, multi-step business processes at massive scale.
Gemini Enterprise is not a single chat but a stack: models, company data, agents and their governance — all managed from one place.
Gemini Pro on a Mixture-of-Experts architecture: over one million input tokens and 65 thousand output tokens in a single request.
Connectors for Microsoft 365, SharePoint, Salesforce, SAP, Jira, Confluence, BigQuery and Cloud SQL index knowledge where it already lives.
Ready-made agents — Deep Research, Gemini Notebook Enterprise and Data Insights — plus agents built for your organisation's processes.
Agent Identity, Model Armor, VPC-SC, IAM and CMEK: every agent has its own identity and precisely scoped permissions.
Built-in, highly autonomous agents handle complex analytical tasks, manage knowledge and answer questions in natural language.
A research agent runs long analyses asynchronously in the background — due diligence, macroeconomic analysis, competitive landscape — searching internal resources and the open web (Web Grounding) in parallel. The result is comprehensive strategic reports with precise citations.
Decentralised management of corporate knowledge: virtual notebooks powered by your documents (SOPs, specifications, transcripts). The AI responds solely on the basis of the provided, secure input — completely eliminating the risk of hallucinations.
Conversational analytics: natural-language questions are instantly translated into SQL queries and run directly against structured sources (BigQuery, Cloud SQL), returning ready-made charts and visualisations.
Ready-made agents are the starting point. The platform lets you build your own — from simple departmental assistants to multi-step automations.
A visual builder for business teams: describe the goal, point to data sources and tools, and the platform assembles a working agent.
For IT teams: full control over the agent's logic, tools and tests, deployed in the same governed space.
Agent2Agent lets you bring in agents from third-party vendors and your own systems so they work alongside Google's agents.
Cowork is our own application for working on documents in Google Drive. Agents designed in Workflow Builder join the conversation over the A2A protocol — they reply with text, images and video, and save results straight to Drive.
Due diligence, macroeconomic analyses and competitive landscapes prepared in the background by Deep Research — with source citations.
SOPs, specifications and transcripts in Gemini Notebook Enterprise notebooks: answers based solely on your documents.
A natural-language question becomes an SQL query on BigQuery or Cloud SQL and comes back as a ready chart.
Agents draft and tidy up team documents in Google Drive, and every change waits for human approval.
The data and files you enter are fully sealed and are never used to train Google's global models.
Your data and files never train Google's global models.
Cryptographic identities for agents and control over their actions.
Protection against prompt injection and data leakage.
Network isolation and granular access permissions.
Full support for keeping data within the European Union.
Encryption with customer-managed keys.
Technology is half of a deployment. The other half is data architecture, agents fitted to your processes and people who know how to use them.
We review the organisation's processes and data and identify real use cases.
We choose the architecture and safeguards: EU data residency, CMEK, IAM permissions.
We connect data sources, launch ready-made agents and build custom ones.
The E-learning AI programme, knowledge tests and organisational reports show the real impact on teams' work.
Book a free consultation — we'll analyse your processes, choose a deployment model and show real-world use cases.
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