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From strategy to production — Kovil AI delivers Vertex AI and Gemini implementations with fixed-price sprints, starting from a 2-week pilot through to full multi-agent production deployments.
Our six services fall into three groups. Plan: a strategy and readiness assessment covering data strategy, model selection and the deployment roadmap. Build: Gemini integration, Vertex AI Agent Builder, Vertex AI Search and RAG, and BigQuery ML data agents. Fix: a rescue and optimisation service for projects that have stalled or underperform.
Work is delivered as fixed-price sprints, starting with a 2-week pilot and moving to production in two to four weeks. You see a working agent on your own data before committing to a larger build.
If you have not chosen an approach, begin with strategy and readiness. If you know the use case, go to the build services. If a project already exists but is slow, costly or unreliable, the rescue service audits latency, cost, hallucination rates and observability.
| Service | Choose it when | What it covers | Main Google Cloud services |
|---|---|---|---|
| Strategy & Readiness | You have not settled architecture, data strategy or roadmap | Readiness assessment, architecture planning, model selection, deployment roadmap | Vertex AI |
| Gemini Integration | You want Gemini models inside enterprise applications | Integration with grounding, function calling and production safety controls | Vertex AI, Gemini |
| Vertex AI Agent Builder | You need multi-agent applications for complex workflows | Orchestration with memory, tools and grounding | Vertex AI Agent Builder, Gemini |
| Vertex AI Search & RAG | You need answers grounded in your own data | Enterprise search and retrieval-augmented generation in natural language | Vertex AI Search, Vector Search, Gemini |
| BigQuery ML & Data Agents | Your data sits in BigQuery and users cannot query it easily | Natural-language to SQL, automated analytics, data intelligence agents | BigQuery ML, Gemini |
| Rescue & Optimisation | A Vertex AI project has stalled or underperforms | Audit and fixes for latency, cost, hallucination rates and observability | Existing Vertex AI estate |
If you have not decided on architecture or use case, start with Strategy & Readiness. If the use case is clear, start with Vertex AI Agent Builder or the relevant build service.
Latency, cost, hallucination rates and observability on an existing Vertex AI project, followed by fixes that get it delivering.
A 2-week fixed-price sprint that puts a working agent in front of your team on your own data, so you can judge it before committing to production.
Yes. We also build on Azure AI Foundry and Salesforce Agentforce, and our comparison guides cover when each platform is the better choice.
Every service is delivered as a fixed-price sprint, confirmed on a free 30-minute architecture call.
Book a free 30-minute architecture call. We will give you a concrete technical approach and a fixed-price delivery plan.