Build faster and smarter contextual AI

4Minds on Google Cloud is a contextual AI platform that adds your company-specific knowledge, structured reasoning and controlled adaptation to the Google Cloud models, data services and infrastructure you already use. It connects your data to Gemini models and adapts continuously as your business changes, without retraining the foundation model or rebuilding your AI stack.

No, you do not have to move your data out of Google Cloud to use 4Minds. 4Minds connects directly to your data in Google Cloud Storage (GCS) buckets and BigQuery, so you don't copy it into a separate environment. In a private deployment, the platform, knowledge graph and fine-tuned model weights all run inside your Google Cloud project, under the access controls and governance you already apply.

Yes, 4Minds works with Gemini models. It connects to Gemini models through Gemini Enterprise Agent Platform and grounds every response in your knowledge graph, so you improve existing models and workflows without rebuilding applications. Open-weight models you host can also receive continuous adaptation, and you can switch models later without rebuilding your knowledge graph or reasoning layer.

4Minds connects to these Google Cloud and Google Workspace data sources: it imports data from Google Cloud Storage buckets and connects to BigQuery for large-scale SQL queries across your data warehouse. It also reads organizational data from Google Workspace, including Gmail, Drive, Calendar and Docs, and imports files from personal or shared Google Drives. Automated extract, transform and load (ETL) keeps that data current.

You deploy 4Minds on Google Cloud as a private deployment on Google Kubernetes Engine (GKE) inside your own Google Cloud virtual private cloud (VPC), where it reaches Gemini models over private networking.

4Minds handles identity and access on Google Cloud using Workload Identity Federation, so it authenticates with short-lived credentials instead of long-lived service account keys. It inherits your existing Identity and Access Management (IAM) roles and permissions, which enforce least-privilege access down to individual buckets, keys and compute instances. Google Cloud Identity Platform covers identity models that federation doesn't fit.

You control the encryption keys when you run 4Minds on Google Cloud. Google Cloud Key Management Service (KMS) holds the encryption keys, including customer-managed keys when policy requires you to control rotation and revocation. Google Cloud Secret Manager stores credentials and connection strings with automatic rotation. 4Minds encrypts data in transit with Transport Layer Security (TLS) 1.3 across every layer of the platform.

You monitor and audit 4Minds on Google Cloud using Google Cloud Audit Logs and Cloud Monitoring, so your security team audits it with the same tools it uses for other Google Cloud workloads. The platform adds its own reasoning traces and logging across the pipeline, so you can see how each output was shaped, checked and delivered, then trace it back to the source data.

You can get started with 4Minds on Google Cloud very quickly, moving from data to a tuned model in minutes. Start a free trial on Google Cloud Marketplace, connect your Google Cloud Storage buckets or BigQuery tables, and build your first model with no infrastructure setup. To plan a deployment around your environment and use cases, talk to a 4Minds expert.