Video and audio review
Pipelines that summarise recordings, flag moments of interest and return timestamps, using the model's native video and audio input.
AI platforms
Gemini development.
Gemini is Google's multimodal model family, handling text, images, audio and video in the same request. We use it where the input is not just text, such as video review, scanned material and workflows that live inside Google Workspace.
A short call. Your first build, a fixed quote, and the timeline. No obligation.
What we build with Gemini
Where it fits.
Image and document understanding
Extraction from photos, diagrams and scanned pages where layout matters as much as the text.
Workspace automations
Flows that read Drive, Docs and Sheets content, draft replies and write results back through Google APIs.
Large-context analysis
Tasks that load a big set of files into one request to answer questions across them, with source references returned.
When it is the right choice
Choose Gemini when
- →Your inputs mix video, audio, images and text.
- →Your team already works in Google Workspace or Google Cloud.
- →A single request needs to look across a large body of material.
Worth knowing
Honest trade-offs.
- →Multimodal inputs are heavier to process, so we test latency and batch where we can.
- →Output quality on specialised visual tasks varies, which is why we build a labelled test set before committing.
Often paired with
Google CloudVertex AIBigQueryPythonCloud RunFirebase
Related services
Services that use it.
Proof
Work built by the same team.
Closeum
13+ connected modules from calls through commissions
13+connected modules
5role types
32completed transactions
40+leads managed
SIIMS
Orders, production, warehouse, and dispatch on the same records
4operational roles
37backend tests passed
17hosted workflow tests passed
Ledgerline
603 tests passed in a dated financial-control verification
SAR 760Kcash reconciled end to end
603tests passed
14control findings fixed
3finance sources in one ledger
Common questions
Before you start.
Gemini API or Vertex AI?
The direct API is quicker to start with. Vertex AI fits teams that need Google Cloud IAM, regional controls and enterprise governance, and we can build against either.
Can it analyse long videos?
Yes, within the limits of the model and plan you use. For very long footage we split it into segments and merge the results so nothing depends on a single giant request.
Is it a good fit for non-English content?
It handles many languages, but quality varies by language and task. We test on your real samples before promising anything.
What do you build with Gemini?
Multimodal understanding, Video and image analysis, Google Workspace flows, Large-context tasks, and related work. We choose Gemini when it is the right fit for the product, the team and the budget.
Can you work with our existing Gemini code?
Yes. We can review what you have, fix what is fragile, and extend it, or build alongside your team.
Keep exploring
More than Gemini.
Where we apply it
The Audit
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