01
Scope and fit
We decide where Google Gemini earns its place in your system, and where a simpler tool wins. No resume-driven architecture.
★ Google GeminiLLM Models8-week engagement
GOOGLE GEMINI · MULTIMODALGemini for long, multimodal context.
Google's Gemini brings very large context windows and strong multimodal understanding. We integrate it directly where its strengths fit the task.
Multimodal LLMLLM APIEval pipelines
Cycle
8 weeks · fixed price
Stack
Gemini API, direct
Output
Production code + eval suite
Handoff
Full source ownership
[THE SHORT VERSION]
Big context and native multimodality.
Gemini's large context windows and native handling of text, images, and other modalities make it a strong fit for document-heavy and multimodal tasks. We integrate it behind the same vendor-neutral abstraction we use for every model.
When it fits
- Very large context or document-heavy workloads
- Multimodal tasks spanning text and images
- Teams on Google Cloud wanting native integration
[HOW WE BUILD IT]
How we build with Google Gemini.
02
Build on a tested foundation
We integrate Google Gemini against a foundation we trust: typed code, CI, and observability from the first commit. Boring infrastructure, modern surface.
03
Eval before launch
An eval suite proves the build behaves before it reaches a user. We measure, then ship.
04
Handoff with ownership
Your team gets the code, the tests, and a runbook. No lock-in to us or to a vendor framework.
[WHAT YOU GET]
What the engagement leaves behind.
8 wks
Problem to production
100%
Source ownership at handoff
Eval-first
Tested before it ships
0
Framework lock-in
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APPLIED K-FRAMEWORKBring the problem.
Bring the problem.
We’ll bring the build.
Eight weeks, fixed price, eval suite at handoff. Senior engineers, full source ownership, no framework lock-in.