We bring Google Gemini into real work across your organization — securely, measurably and at scale. From agents and data in Gemini Enterprise, through AI in Google Workspace, to training and team adoption.
A complete ecosystem: a standalone orchestration platform, a native productivity assistant, and a skills-development and change-management program.
A standalone orchestration platform on Google Cloud — ecosystem-independent, it connects and analyses data from distributed sources and automates complex processes at massive scale.
An intelligent AI assistant natively built into everyday Google Workspace apps — supporting employees operationally, reactively and under human supervision.
A comprehensive learning ecosystem and change-management program that systematically raises employees' digital skills in generative AI and maximises ROI.
Beyond Google Gemini deployments we develop our own tools: a learning platform, a course editor and an agent-assisted workspace for documents in Google Drive.
A corporate learning platform that combines SCORM delivery, course authoring, assessment, reporting and an AI assistant in one environment.
A Notion-style block editor for courses. The same slide renderer runs in the editor and in the published SCORM package, so the course looks exactly as designed.
A team workspace for documents in Google Drive. You talk to the agent and accept or reject each of its changes individually.
Each of these mechanisms is a Google Cloud platform feature we configure during deployment — not a marketing claim.
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.
The E-learning AI programme builds practical skills for working with artificial intelligence. Knowledge tests and reports help assess team progress and plan further training.
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.
We combine technology, a secure data architecture and dedicated training so that AI becomes a permanent part of your organisation's effectiveness — not a fleeting innovation.
The latest models in a Mixture-of-Experts architecture, over a million tokens of context, and autonomous agents built into the platform.
EU data residency, customer-managed encryption keys (CMEK), Model Armor and full isolation — your data never trains global models.
Training programs and change management close skill gaps and move teams from task executors to process designers.
Built-in QA, knowledge tests and organisation-wide reports let you monitor AI's real impact on the back office and operational efficiency.
Any language model can be wrong, so we limit that through deployment architecture. Gemini Notebook Enterprise answers from the documents you select, Deep Research cites its sources, and in high-stakes processes a human approves the decision.
No. Data and files entered into Gemini Enterprise and Google Workspace are not used to train Google's global models.
We configure EU data residency, encryption with customer-managed keys (CMEK) and granular IAM permissions. The scope of processing is governed by Google Cloud's data processing terms — we help your legal and security teams work through them.
Gemini in Workspace is an assistant built into Gmail, Docs, Sheets or Meet. Gemini Enterprise is a standalone platform that connects data from many company systems — including non-Google ones — and runs agents on it to automate multi-step processes.
For most office use cases the key obligation is ensuring staff AI literacy. Our training programme ends with knowledge tests and reports that document it. Assessing specific use cases for risk is best done with a lawyer.
That is the most common reason deployments fail, which is why training and change management are part of the offer rather than an add-on. We start from real scenarios in the team's work and measure progress with knowledge tests and organisational reports.
Tell us about your organisation — we'll match the solution, deployment model and training program to your needs and security policy.
