Agency · Gemini · Google stack

The Gemini agency.Gemini, live in your stack.

Spun up in a side tab with no grounding, Gemini gives confident wrong answers and quietly gets dropped. We build with it, wire it into your stack via the API or Vertex AI, ground it on your data, and roll it out across Google Workspace.

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★★★★★Verified Trustpilot reviews · AI, automation & growth agency

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What we do

A Gemini agency builds and wires it in, not just turns it on.

Anyone can switch Gemini on in Workspace. Building the assistant that solves your problem, wiring it into your stack, and grounding it on your data is a different job. Here are the four things we own.

Method · 4 stages

We build with Gemini like production software, not a demo.

Most Gemini projects die the same way: a slick prototype with no grounding, no cost controls, no evals, so it hallucinates on real data and nobody trusts it. So we treat it like infrastructure: wired in through the API or Vertex AI, grounded on your data, shipped with monitoring, and rolled out to a team that actually knows how to use it.

  • Audit · map your stack, your Google footprint, and where Gemini actually helps
  • Wire · Gemini API or Vertex AI, prompts, grounding and cost controls, reliable by default
  • Build · the assistant, agent or multimodal workflow that solves your real use case
  • Enable · roll out across Workspace, train the team, monitor and iterate on quality
Walk me through the method
Differentiator · no badge

We're model-agnostic, so we tell you the truth.

We don't sell a partner tier. We build with Gemini where it's the right call, multimodal, long context, teams already on Google Cloud or Workspace, and we'll say honestly when Claude or another model fits a task better. That's exactly what you don't get from an agency tied to one vendor's logo.

  • Model-agnostic: Gemini shines for multimodal, long context and teams already on Google Cloud or Workspace, and we set it up to play to those strengths.
  • Honest about fit: when Claude or another model does a task better, we say so and route it there, instead of forcing everything through one vendor.
  • Grounded, not guessing: we wire RAG, evals and monitoring so Gemini answers from your data and you catch quality drift before your users do.
  • No partner badge to sell. We're judged on whether the build ships and holds up in production, not on a vendor tier or a logo on a slide.
Show me a typical build
What we set up

Gemini at the core, your Google stack around it.

We configure the parts that turn a model into reliable output, then connect them to how your team already works. Here's what a real Gemini build covers.

  • Setup

    Gemini API integration

    We wire Gemini into your product through the Gemini API and Google AI Studio: prompts, structured output, function calling, streaming, retries and cost controls, so calls stay reliable in production instead of only in a notebook.

  • Setup

    Vertex AI (enterprise / Cloud)

    For teams on Google Cloud that need governance, we deploy Gemini on Vertex AI with IAM, data residency, audit logging and grounding, so the model runs inside the controls your security team already trusts.

  • Setup

    Google Workspace rollout

    We roll Gemini out across Gmail, Docs, Sheets and Meet for your teams, set up gems and prompts that match real workflows, ground it on your context, and train people so adoption lasts past day one.

  • Setup

    RAG on your data

    We ground Gemini on your knowledge base, docs, tickets and databases with retrieval, so it answers from your real content with sources, not from a generic guess, using Gemini's long context where it earns its keep.

  • Setup

    Multimodal workflows

    Gemini reads images, audio and video, not just text. We build the workflows that exploit that: parsing invoices and screenshots, transcribing and summarising calls, extracting structured data from documents your team handles by hand today.

  • Setup

    Automation (n8n / Make + Gemini)

    We plug Gemini into your automations through n8n or Make so it classifies, drafts, extracts and routes inside the flows your operations already run, with a human checkpoint where the output needs a second pair of eyes.

Free audit · 60 minutes

We map your use case, you leave with a plan.

Before quoting anything, we take 60 minutes to look at your stack, your Google footprint and where Gemini actually helps. You leave with an honest read on what to build, whether the API or Vertex AI fits, and where another model would do better. Zero pitch, just an engineer's take on your use case.

  • An honest read on where Gemini helps your team
  • The API or Vertex AI path that fits your governance
  • The assistant, agent or workflow worth building
  • A frank take on when another model fits better

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Or send your brief instead
Our approach

How we run a Gemini build.

Five steps, in order. We don't ship a build before it's grounded and monitored, we don't force a model that doesn't fit, and your team owns it at the end. Each step has a deliverable and you sign off before we move on.

  1. Step 1 · Use-case audit

    Map where Gemini actually earns its place

    We sit down with your team and look at the real work: the docs nobody has time to read, the calls that go untranscribed, the data entered by hand, the support questions answered the same way every day. We check your stack and your Google footprint. Half the value is telling you where Gemini helps, where another model fits better, and where automation alone solves it, so you don't build AI against a problem it won't fix.

  2. Step 2 · Wire it in

    Connect Gemini through the API or Vertex AI

    We wire Gemini into your stack the right way for your case: the Gemini API and Google AI Studio for a fast path, or Vertex AI on Google Cloud when you need IAM, data residency, audit and governance. We set up the prompts, structured output, function calling, retries and cost controls, so calls are reliable and the bill stays predictable. An engineer on your side signs off on the data flow before anything goes live.

  3. Step 3 · Build the thing

    Assistant, agent or multimodal workflow

    We build what actually solves the problem: an internal assistant grounded on your docs, a customer copilot, an agent that takes a task end to end, or a multimodal workflow that parses images, audio or video your team handles by hand today. We ground it on your data with RAG so it answers from real content with sources, and ship it with the evals that tell you it works before your users find out it doesn't.

  4. Step 4 · Roll out

    Deploy across Workspace and your tools

    We roll Gemini out where your team works: across Gmail, Docs, Sheets and Meet, and into your automations through n8n or Make so it classifies, drafts and routes inside flows you already run. We set up gems, prompts and guardrails that match real workflows, with a human checkpoint where the output needs review. Everything ships with its grounding, permissions and logging from day one, not bolted on later.

  5. Step 5 · Enable & monitor

    Train the team, then watch quality

    We train your people on the prompts and workflows that actually work, and put monitoring and evals in place so you catch drift before your users do. The setup lives in your account, owned by your team. If you want to go deeper, our AI training covers prompting, grounding and agents end to end. If you want us on call for what scales next, we talk about that separately, no lock-in by default.

Proof · what the teams say

We're judged on what ships and holds up.

No partner badge to display, so we lead with what matters: feedback from the teams whose Gemini build we shipped, and whether it held up in production after we left. Our Trustpilot reviews come from those teams, not from a marketing deck.

  • The setup lives in your account, owned by your team
  • Grounded on your data with sources, not a generic guess
  • The right model for the job, even when it isn't Gemini
  • Trustpilot reviews come from the teams we built for
Talk to the team
FAQ · Gemini agency 2026

The questions we get asked on repeat.

  • What does a Gemini agency actually do?
    A Gemini agency builds with Gemini and wires it into your stack so it solves a real problem, instead of leaving you with a demo that never ships. We build assistants, copilots and multimodal apps grounded on your data, integrate Gemini through the Gemini API or Vertex AI on Google Cloud, roll it out across Google Workspace for your teams, and add RAG, agents and monitoring. We're model-agnostic, so we'll tell you honestly when Claude or another model fits a task better.
  • How much does a Gemini build cost?
    It depends on scope: a Workspace rollout and prompts is nothing like building a multimodal agent grounded on your data and wired into Vertex AI. We don't throw out a flat package. We start with a free 60-minute audit to find where Gemini actually helps, then quote a fixed scope. The Gemini API or Vertex AI usage you pay Google directly; we set up the calls and cost controls so the bill stays predictable instead of spiking on a runaway loop.
  • Gemini API or Vertex AI, which one do we need?
    It depends on your governance needs. The Gemini API through Google AI Studio is the fast path: quick to wire in, great for prototypes and most products. Vertex AI on Google Cloud is the enterprise route when you need IAM, data residency, audit logging and tighter governance, and it sits naturally next to your other Cloud services. For teams already on Google Cloud, Vertex AI usually wins. We set up whichever fits your security and scale, not whichever sounds more impressive.
  • Can Gemini work with images, audio and video?
    Yes, that's one of its real strengths. Gemini is multimodal, so it reads images, audio and video, not just text, and it has very long context windows for large documents. We build the workflows that exploit that: parsing invoices and screenshots, transcribing and summarising calls, extracting structured data from PDFs, answering questions about a video. If your work involves more than plain text, multimodal is often where Gemini pulls ahead of a text-only setup.
  • Can you roll Gemini out across our Google Workspace?
    Yes, and for teams already in Workspace it's usually the fastest adoption win. We deploy Gemini across Gmail, Docs, Sheets and Meet, set up gems and prompts that match how your people actually work, and ground it on your real context so it answers from your data instead of guessing. Then we train the team so it sticks past the first week. The point is people using it daily, not a feature that gets switched on and quietly ignored.
  • How do you stop Gemini from hallucinating on our data?
    By grounding it, which is a big part of the job. We wire RAG so Gemini answers from your knowledge base, docs and databases with sources, instead of from a generic guess, and we use its long context where that helps. We add evals and monitoring so you catch quality drift before your users do, and a human checkpoint where the output needs review. No model is perfect, so we set up the guardrails that keep a confident wrong answer from reaching production.
  • Why Gemini and not Claude or another model?
    Because the right model depends on the task, and we're model-agnostic. Gemini shines for multimodal work, long context, and teams already on Google Cloud or Workspace, where it plugs in naturally and the governance is already there. For some reasoning or coding tasks, Claude or another model does better, and we'll say so and route it there instead of forcing everything through one vendor. We pick the model that fits the job, then build it properly, no badge to defend.
  • Do you train our team or just build it?
    Both, and the training is where adoption is won or lost. A tool nobody knows how to prompt gets abandoned. We train your team on the prompts and workflows that actually work, set up monitoring so you see quality over time, and leave the setup in your account so your team owns it. If you want to go deeper, we run AI training that covers prompting, grounding and agents end to end so your team can build the next workflow without us.
Build with Gemini

Stop demoing. Ship Gemini into your stack.

A 60-minute audit, your use case mapped, a build plan with the grounding and cost controls baked in. If your team can run it in-house after setup, we'll hand you the playbook. If we're the right fit, we handle it.

Book the free 60-min auditSee the agency
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