Automation & AI · AI / Google models
Google Gemini
integration & API.
Gemini integrations for businesses already on Google Cloud or Workspace.
GG What is Google Gemini?
Google Gemini in plain English.
Google Gemini is Google's family of multimodal AI models — handling text, images, video, and audio natively. Available via the Gemini API and Google Cloud's Vertex AI, and increasingly woven through Google Workspace (Docs, Sheets, Gmail). A strong choice for businesses already running on Google Cloud or Workspace, and for workloads where its pricing and long context window are a good fit.
What businesses use it for
Common Google Gemini
use cases.
- 01 Multimodal AI workflows (image, video, audio, PDF)
- 02 AI features inside Google Workspace (Docs, Sheets, Gmail)
- 03 Cost-effective AI for high-volume workloads
- 04 Long-context analysis over large documents
- 05 Native integration with Google Cloud services
Why custom?
Beyond the default Google Gemini integrations.
Google Gemini is the right choice when you're already on Google Cloud or Workspace, want native multimodal capabilities, or need cost-effective AI at high volume. We build Gemini integrations into existing Google-centric stacks — via the Gemini API or Vertex AI — with the same production engineering (structured outputs, evaluation, cost visibility) we bring to any AI build.
What we build with Google Gemini
Common Google Gemini integrations.
Gemini API and Vertex AI integrations
Multimodal (image, video, audio) AI workflows
Structured outputs, function calling and grounding
Google Workspace and Google Cloud-native builds
Cost monitoring and evaluation pipelines
Commonly paired with
Google Gemini works with the rest of your stack.
How we build
Production-grade.
Not Zapier in a trench coat.
Every Google Gemini integration we ship handles failure properly: idempotent jobs, retry logic, dead-letter queues for unrecoverable cases, and observability so you can see exactly where data is at any moment.
Tested
Real test suite, real edge cases. Not just "it worked once."
Observable
You see what is happening — events logged, errors surfaced.
Maintainable
Documented, version-controlled, handed over properly.
More Automation & AI
Other automation & ai platforms we connect.
Z Zapier
Zapier integrations and the moments when custom code is the cheaper answer.
M Make
Make (Integromat) integrations and migrations to more reliable architectures.
N n8n
n8n integrations and self-hosted automation for businesses that want control over their data.
OpenAI
OpenAI integrations engineered for production — not demo-ware that breaks at the second edge case.
FAQ
Common questions about Google Gemini integration.
When should we use Gemini instead of OpenAI or Claude?
When you are deep in Google Cloud or Workspace already, when multimodal (image/video/audio) is a primary requirement, or when Gemini's pricing fits your high-volume workload better. It's not an either/or — we often use Gemini alongside GPT or Claude, picking the right model per task. Here's the honest comparison of Claude vs GPT vs Gemini for business.
Can Gemini connect to our Google Workspace?
Yes. Gemini is the natural fit when your business already runs on Workspace — we build AI features that work with your Docs, Sheets and Gmail data, and with Google Cloud services you're already using, rather than bolting on a separate stack.
Is Gemini cheaper than OpenAI?
For many high-volume workloads, yes — Gemini's pricing on its faster models is competitive, which is part of why it's worth considering. But raw token price is only part of running cost; the bigger lever is engineering the workflow so you're not calling an expensive model for work a cheap one can do. We design for that either way.
What is Vertex AI, and do we need it?
Vertex AI is Google Cloud's managed platform for running Gemini (and other models) with enterprise controls — data residency, security, MLOps tooling. If you're a smaller business the Gemini API is usually enough; if you're already on Google Cloud and care about governance and data residency, Vertex AI is often the right home. We build on whichever fits.
Related reading
Thinking we’ve published on this kind of work.
Claude vs GPT vs Gemini for business automation in 2026
Where each frontier model genuinely shines and where it falls short. A practical comparison for business owners commissioning AI work in 2026.
What AI actually costs to run in production
AI demos are cheap. Production is not. Where the money actually goes when you ship an AI feature, and how to size the engineering investment around the model.
AI automations that actually ship — not demo-ware
AI demos are easy. AI in production is hard. The real engineering between a slick demo and an automation you can trust to run unattended.
Get started
Ready to wire up
Google Gemini?
A 30-minute scoping call — no pitch deck, no hard sell. Tell us what you're trying to connect and we'll tell you straight whether it's a fit.