Video & Media AI
Video analysis, content moderation, highlight extraction and scene understanding — Gemini 1.5 Pro handles hour-long videos natively.
Google Gemini
Google Gemini
Multimodal AI built on Google's Gemini
We build production applications on Google Gemini — the most capable multimodal model for text, image, video, audio and code, with Google's cloud infrastructure behind it.
Gemini 1.5 Pro2M token context
MultimodalText, image, video, audio
Vertex AIEnterprise deployment
Models We Work With
Every Gemini model, matched to your task
Most capable
Gemini 1.5 Pro
Google's most powerful model with a 2M token context window — ideal for long-document analysis, video understanding and complex multi-modal tasks.
Fast & cheap
Gemini 1.5 Flash
Gemini's speed-optimised model — excellent for high-volume tasks, real-time applications and cost-sensitive production workloads.
Advanced
Gemini Ultra
Google's highest-capability model — benchmarks at or above GPT-4 on most tasks, available via Vertex AI for enterprise deployments.
On-device
Gemini Nano
Lightweight model that runs on-device — for mobile apps, edge deployments and scenarios where data must stay on the device.
Media generation
Imagen / Veo
Google's image and video generation models — for creating, editing and enhancing visual content in production applications.
Vector search
Text Embeddings
Google's text embedding models for semantic search, RAG pipelines and document similarity on Vertex AI.
What We Build
Gemini-powered apps for every use case
Long-Document Processing
Contracts, reports and datasets that exceed GPT-4's context — Gemini's 2M token window handles entire codebases and long PDFs.
Google Workspace Integration
Gemini integrations within Google Docs, Sheets, Gmail and Meet — enterprise-grade AI inside the tools your team already uses.
Multimodal Search
Search systems that understand images, tables, charts and text together — built on Gemini's native multimodal capabilities.
Vertex AI Pipelines
Production ML pipelines on Google Cloud — Gemini fine-tuning, batch prediction and model serving via Vertex AI.
Mobile AI
On-device AI for Android apps using Gemini Nano — private, fast inference without sending data to the cloud.
What We Deliver
Every Gemini project includes
✓Model selection across Gemini Pro / Flash / Ultra
✓Vertex AI setup and enterprise authentication
✓Multimodal input handling (text, image, video, audio)
✓2M token context management for long documents
✓Google Workspace API integration if needed
✓Streaming and async response handling
✓Cost optimisation across model tiers
✓Production monitoring on Google Cloud
FAQ
Common questions
When would I choose Gemini over GPT-4 or Claude?
Gemini is our recommendation when you need native video understanding, a 2M token context window, deep Google Workspace integration, or you're already on Google Cloud infrastructure.
Can Gemini process video directly?
Yes — Gemini 1.5 Pro accepts video files natively and can analyse content, extract highlights, answer questions about footage and generate summaries.
What's the cost difference between Gemini models?
Flash is significantly cheaper than Pro — roughly 10–20× lower cost per token. We optimise routing between models based on task complexity to minimise costs.
Do you support Gemini fine-tuning?
Yes — Gemini 1.5 Flash supports fine-tuning via Vertex AI. We handle dataset preparation, training runs and evaluation.
Ready to build with Gemini?
Tell us your use case — especially if video, long context or Google Cloud are involved.
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