Gemini for Business
Google AI across your stack.
Gemini in Google Workspace, Vertex AI on GCP, multimodal pipelines and grounding on your corpus. End-to-end with Google Cloud.
Long context
Lengthy documents
Gemini
By Google
Vertex AI
Private deployment
Grounding
With Google Search
Capabilities
What Gemini does best
Massive context, native multimodality and grounding with Google Search.
Long documents
- Full contracts
- Scientific papers
- Technical manuals
- Large codebases
Multimodal
- Images + video
- Advanced OCR
- Technical diagrams
- Audio transcription
Search grounding
- Up-to-date info
- Verified citations
- Anti-hallucination
- Smaller knowledge-cutoff gap
BigQuery + Vertex
- SQL with AI
- Analysis on your data
- Unified ML + AI
- Managed deployment
Workspace
Gemini inside Docs, Sheets and Gmail.
If your company uses Google Workspace, Gemini is already there. We configure it for your team and give you the prompts, playbooks and use cases to get off the ground.
- Prebuilt prompts by role
- Adoption playbook by department
- Training sessions + office hours
- Usage and ROI dashboards
- Integration with Drive and internal data
A
APEX AI
multi-provider · online
Summarize the 47-page contract and flag risk clauses
Executive summary ready (3 pages). I found 5 risk clauses: unilateral penalties, auto-renewal without notice, EU jurisdiction, and 2 more.
Generate a redline and send it to legal@company.com
Architecture
Gemini on Vertex AI, fully private.
Deployment in your own GCP with full control over data, regions, compliance and logging.
- Gemini on Vertex AI
- Region pinning (no egress to the USA)
- VPC-SC + Customer-managed keys
- Full audit logs in Cloud Logging
- BigQuery for usage analytics
Your application (internal)
Vertex AI endpoint
Region lock
Gemini
Massive context
Grounding (Google Search)
BigQuery + Cloud Logging
IAM + VPC-SC + CMEK
Questions about Gemini
Gemini wins on context window, native multimodality (video) and grounding with Search. ChatGPT wins on specific technical reasoning and its tool ecosystem. Many of our clients use both.
Yes. Vertex AI on GCP doesn't require Workspace. You only need a Google Cloud account.
Not if you use region pinning on Vertex AI. You can pin everything to europe-west1, southamerica-east1, etc.
Gemini is competitive with OpenAI. A typical use case costs USD 200-800/month in tokens. The implementation project starts at USD 15k.
Let's integrate Gemini into your stack
30 minutes of discovery. We'll show you how Gemini solves cases that are impossible for models with less context.