Google Gemini integration with built-in governance

We embed Gemini's multimodal AI into your Google Workspace and Cloud stack with Vertex-grade governance, turning vision, audio, and text into measurable outcomes your security team approves.

Trusted by Fortune-500 brands and ambitious startups across 36 countries
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What changes for you

Gemini outcomes
you can measure

We deliver Gemini against business metrics, not model demos every result is measurable.

  • Native Workspace integration

    When the work lives in Docs, Sheets, Gmail, Meet and BigQuery, Gemini stops being an integration project. We build flows where Gemini reads the meeting, updates the CRM, drafts the follow-up without leaving the orbit your team already lives in.

  • Multimodal in one model

    Vision, audio, code, long-context in a single model call, not a pipeline stitched across three providers. One architecture to maintain, one billing line, one eval suite. Cleaner, cheaper, faster to debug.

  • Vertex governance

    Audit logs, region pinning, IAM, CMEK the full compliance stack that makes your CISO stop being the blocker. We deploy on Vertex AI so your security review takes hours, not months.

Where most integrations break

Why Gemini pilots never reach production

Most pilots stall on governance and security; we build for production from day one.

Who we work with

Built for the Gemini decision-maker

Whoever owns the rollout: we calibrate Gemini to the metric they are judged on.

CTO · VP Engineering

We're Google Cloud already. Why isn't Gemini easier?

Because an API key is not an integration. We wire Gemini into your Vertex environment with evals, routing, governance and a handoff your team owns.
  • Vertex AI · BigQuery · Cloud Run · GKE
  • Eval harness · CI/CD · cost observability
  • Stack-neutral fallback: GPT-4o, Anthropic on standby
CISO · Head of Cloud Security

Every AI vendor says they're compliant. None of them answer my architecture questions.

We answer them before you ask: region, key, audit, network boundary, IAM, DLP. The architecture document is deliverable one.
  • VPC Service Controls · CMEK · Cloud Logging · SCC
  • Compliance architecture document before code
  • DPIA-ready · SOC 2 · ISO 27001 · HIPAA-ready
CMO · Head of Content

We're spending £40k/month on stock photography and 3 days per campaign on variants.

Imagen 4 wired into your DAM and brand guidelines. Marketing speed at a fraction of the licensing cost.
  • Brand-locked style references + asset filters
  • Approval workflow before publish
  • Cost per asset ~1/40th of agency rates at volume
VP Product

We need a multimodal feature. Our current stack needs three APIs to do it.

One model, one eval suite, one billing line. We pick the right Gemini variant per task and route automatically.
  • Model routing by task type and cost
  • Single eval suite across text, vision, audio
  • Cleaner architecture than multi-vendor stitching
ML Lead · Head of Data Science

Our model training isn't reproducible. We can't audit what produced a given output.

Vertex AI Pipelines with experiment tracking, dataset versioning and model registry.
  • Vertex AI Pipelines · experiment tracking
  • Model Registry with promotion gates
  • Eval harness in the pipeline · no promotion without passing
CIO · IT Director

My security team is blocking every AI project.

Gemini on Vertex has the answer to every question your CISO will ask. We configure it, document it, and walk through the review with you.
  • CMEK · region pinning · IAM · audit logs
  • VPC Service Controls · DLP at the edge
  • Vendor risk documentation for your review board
Production workflows we've shipped

Gemini workflows in daily use

Multimodal search, document analysis, and Workspace automation running live.

Retail
Retail

Multimodal product search

Image + text query → semantic match over catalogue. "Find something like this but in navy under £80."

↑ 3.4× conversion vs faceted filters
Legal
Legal

Contract analysis

1.5 Pro reads 200-page agreements, flags non-standard clauses, maps against playbook, drafts redlines

↓ 6h → 45min per contract
Finance
Finance

Earnings call intelligence

1.5 Pro transcribes, extracts key figures, sentiment, forward-looking statements. Analyst deck auto-drafted.

↓ 4h → 20min per report
Healthcare
Healthcare

Clinical document review

Long-context read of patient records + referral letters. Structured summary + ICD-10 suggestions.

↓ 12min → 90sec intake
Travel
Travel

Inspiration feed

Imagen 4 generates destination visuals from user mood + season + budget. Zero stock-photo licensing.

↑ 28% inspiration → booking
Media
Media

Meeting intelligence

Flash transcribes + summarises + extracts action items + routes to Jira/CRM. Runs on every meeting.

↓ 2.1 hrs/wk per IC
Ecommerce
Ecommerce

Return fraud detection

Flash reads return request + order history + photo evidence. Decision in < 800ms.

↓ 34% fraudulent returns
Real estate
Real estate

Listing staging

Imagen 4 stages empty rooms from photos. Agent uploads, AI furnishes, buyer sees potential.

↑ 31% time-on-listing
Education
Education

Video → learning object

Flash: transcribe lecture, segment, generate quiz, produce summary clips per topic.

↓ 8h → 45min per module
The 6-8 week sprint

Gemini whiteboard to dashboard, eight weeks

From scoping to live build, we ship Gemini with results on a dashboard.

Week 1–2 · Architecture

Map the data & use case

GCP project configuration, VPC, IAM, CMEK, Cloud Logging. Compliance architecture document for your security review. Data inventory in BigQuery and Cloud Storage.

DeliverableCompliance architecture doc · GCP configured · IAM/CMEK live
Week 2–4 · Prototype

Grounded on your real data

RAG pipeline over your actual documents. Vertex AI deployment with region and IAM configured. Eval set from real user queries. Demo on Friday on your data, in your GCP project.

DeliverableWorking prototype · eval harness · go/no-go review
Week 4–6 · Wire it in

Integration & compliance hardening

Workspace connectors, BigQuery pipelines, SSO, audit logs, CMEK, cost dashboards, HITL queues where required.

DeliverableLive for 1–2 teams · dashboard tracking the metric
Week 6–8 · Hand-off

Owned by your team

Runbooks, training, governance review, model-version pinning docs, on-call drills. Optional 3-month SLA for tuning and evolution.

DeliverableFull ownership transfer · ROI report · capability #2 roadmap
STACK-SPECIALIZED

The stack behind your Gemini

The Gemini, Vertex, and governance stack matched to your Google environment.

AI & Frontend
Deep integrations.
Maximum performance.
React / Next.js
Angular / Vue.js
HTML5 / CSS3
JavaScript
React Native
Swift / Kotlin
Intelligent interfaces built for modern user interactions.
Backend & AI Systems
Scalable. Secure.
Production-ready.
Node.js / Laravel
Python / FastAPI
Azure DevOps
Docker / Jenkins
AWS / Google Cloud
Microsoft Azure
Secure, scalable architectures powering intelligent systems.
Data & Enterprise Systems
One codebase.
Many platforms.
MongoDB / MySQL
SQLite / SQL Server
WordPress / Magento
Shopify
Vector Databases
AI Retrieval Systems
Reliable data foundations for automation and intelligence.
No vendor lock-in Pause, pivot or stop anytime.
Tailored to your goals Tech that fits your roadmap.
Built for speed & scale Deliver value, faster.
Secure by default Best practices, every time.
AI PRODUCTS, IN PRODUCTION

Multimodal Gemini systems in real production

Live systems turning vision, audio, and text into real business outcomes.

Industry expertise

We've shipped here. Many times over

Deep teams with industry context not generalists googling compliance acronyms. Each industry below has 30+ shipped projects and a partner who knows the regulator.

Word of mouth

What clients tell their peers.

Real names, real companies, real numbers. Video on the left, written notes on the right - choose whichever feels more honest.

trieval

"They feel like our team — not a vendor."

RH
Ismail Abualsmah
CEO, Trieval
01:18
Repeat client
Although regulations prevented the site's launch, it met all requirements in terms of form and function. Fullestop's project plan charted a clear course to completion. The team's flexible, diverse talent pool enabled them to manage each stage of the project with consistent levels of skill.
Fast turnaround
Weekly demos, no surprises, and they push back when we're wrong. That last part is rare. Cut our cloud bill 47% in the first audit.

News & insights

Check Out the Latest Trends and Tech Discussions

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Frequently Asked Questions

The questions every founder asks us.

  1. Gemini is a natively multimodal AI, meaning it can understand and generate across text, images, code, audio, and video in one unified model, enabling innovative, context-aware business applications.​

  2. We use Gemini Pro for scalable multitasking, Gemini Ultra for complex reasoning and data analysis, and Gemini Flash for real-time, low-latency applications depending on your business needs.​

  3. We leverage Google Cloud’s enterprise-grade security and governance, and integrate Google's security features to protect data privacy and maintain compliance.​

  4. Yes, Gemini integrates with Workspace to act as a coach, inspiration source, and productivity booster, enhancing meetings, messaging, and document workflows.​

  5. Yes, absolutely. Gemini is engineered for deep and extensive integration across your enterprise technology stack. It natively integrates with Google Cloud Platform (GCP) services, such as BigQuery and Cloud Storage, and securely connects with a wide range of common business applications, enterprise resource planning (ERP) systems, and customer relationship management (CRM) platforms to ensure seamless workflows and data synchronization across your entire organization.

  6. Gemini's core strength lies in its multitasking and multimodal capabilities, which enable it to process and generate various types of information (text, code, image, video). This allows businesses to:

    • Automate Complex Workflows: Streamline multi-step processes by handling data from diverse sources simultaneously.
    • Enhance Customer Experience: Provide smarter content strategies for personalized support, and deliver enhanced search and discovery capabilities to quickly find relevant information, resulting in higher efficiency and superior customer satisfaction.
  7. Grounding is a critical feature that significantly improves the trustworthiness and factual accuracy of the AI's outputs. By connecting Gemini to your private, proprietary business data (e.g., internal documents, reports, and knowledge bases) or the reliable public web, the model is directed to base its responses on verified information. This process effectively reduces "hallucinations" (AI generating plausible but false information) and ensures that all AI outputs are factually relevant, contextualized, and reliable for business use.

  8. Gemini is a versatile solution capable of solving complex, real-world business challenges across virtually all industries:

    • Operational Efficiency: Automating time-consuming tasks like summarizing long documents, organizing unstructured data in spreadsheets, and transcribing and summarizing large volumes of voice and video analysis data from meetings or customer calls.
    • Marketing and Content Generation: Rapidly generating high-quality marketing copy, personalized emails, and advertising content at scale.
    • Strategic Decision Making: Powering advanced predictive analytics and forecasting across industries (e.g., sales trends, risk assessment) by analyzing massive datasets with greater precision and speed.
    • Software Development: Assisting developers with code generation, debugging, and complex system documentation.
Pick your starting line

Three ways to get Gemini working in your stack.

First Gemini proof of concept or an enterprise Workspace rollout that needs governance built in we have a low-risk first step for both.