We build business applications on Google Gemini — natively multimodal AI that understands documents, images, audio, and video — integrated with your systems and the Google Cloud you may already use.
Gemini was built multimodal from the ground up and offers some of the largest context windows available — entire archives, long videos, or thousands of pages in a single pass. For Google-centric businesses, it slots straight into Cloud and Workspace.
One model that reads documents, interprets images and diagrams, and understands audio and video — ideal for mixed-media workloads.
Gemini can process up to around a million tokens at once — whole codebases, archives, or hours of media in one shot.
Deployed through Vertex AI with enterprise security, and a natural fit alongside Workspace, BigQuery, and your Google stack.
Extract data from scans, photos, forms, and diagrams — Gemini reads what legacy OCR can’t.
Search, summarize, and tag image and video libraries — inspections, training footage, product media.
Ask questions across enormous document sets in a single pass with Gemini’s long context.
Multilingual, multimodal assistants for customers and staff, grounded in your content.
Automations that work with Docs, Sheets, Gmail, and Drive where your team already lives.
Flash and Pro model tiers let us match capability to budget per task — fast triage cheap, deep analysis when it counts.
Since 1999, we’ve built custom software for more than 1,700 clients. We bring that same engineering discipline to AI: fixed-fee proposals, AI-accelerated delivery, and solutions that are tested, supervised, and warrantied like any other software we ship.
Gemini’s vision makes it a standout for document and data extraction — invoices, forms, and scans into clean data.
Ground a customer-facing chatbot in your content — multimodal when your users send photos and files.
When your workload is multimodal — scanned documents, photos, audio, video — or when you need very long context, or you’re already invested in Google Cloud or Workspace. We benchmark against alternatives for your specific case.
No. Through Vertex AI and the paid Gemini API, Google does not use your business data to train its models — and we configure data residency and retention to match your policies.
No — Gemini works via API from any stack. But if you are on Google Cloud, we deploy through Vertex AI inside your existing security and billing boundary.
No. We architect AI integrations behind an abstraction layer, so the underlying model can be swapped or upgraded as platforms evolve — your workflows and data pipelines stay intact.
Fixed-fee, scoped before we start. Gemini’s tiered models also help at runtime — we route routine tasks to fast, inexpensive tiers and reserve top models for the hard steps.
Curious to see if we're a good fit? Schedule a call, and together, let's explore the possibilities
Once we understand your vision, the fun begins! Let's dive into a brainstorming session and craft the perfect solution to bring your ideas to life.
Our collaborative approach seamlessly blends the personal touch of weekly one-on-one meetings with the efficiency of online tools.
Our process is all about transparency and excellence. We incorporate testing at every stage, providing clients with direct access to evaluate progress.
Our commitment extends beyond project completion, ensuring your digital presence stays secure, efficient, and seamlessly supported over the long haul.
