From prototype to production
Most AI projects stall between demo and deployment. We bridge that gap — observability, evaluation harnesses, CI/CD, and the architectural patterns that let a system survive contact with real users.
AI and agentic systems
AI that works on the data a business already has.
Ectivi designs and builds production agentic systems on Google Cloud — multi-agent workflows, LLM orchestration, and enterprise search grounded in real structured data. The kind of AI that earns trust by being useful first.
- Agentic systems on structured data Production multi-agent systems that reason over data warehouses, operational databases, and enterprise records — not just documents. Built for scale and grounded in the data a business already trusts.
- Multi-agent orchestration LangGraph and Google Agent Development Kit patterns for multi-step reasoning: tool use, memory, planning, and handoffs between specialized agents. Designed for systems that need to be debugged, not just demoed.
- Enterprise search AI-powered search across firm knowledge and structured data using Gemini Enterprise and Vertex AI Search. We design the retrieval, ranking, and grounding so answers are actually useful.
- RAG and retrieval design Retrieval-augmented generation done with care — chunking, embedding, indexing, and evaluation tuned to the team's domain. We treat RAG as an engineering problem, not a prompt.
- LLM strategy and assessment For teams new to generative AI: an honest read on what's worth building, what's not, and where the highest-leverage workflow is. We pair that with a roadmap and the engineering plan to back it up.
- Workflow automation End-to-end automation of high-frequency manual workflows using agentic patterns — the kind of work that pays for itself once it's running.
Build
Production-grade, from prototype to platform.
We've architected and shipped firmwide agentic platforms spanning millions of records and tens of millions of relationships. Same discipline carries down to focused, single-team systems.
Engineering practice
Agentic systems need real software engineering underneath. We bring CI/CD, testing discipline, and architectural standards to a multidisciplinary team — so AI work integrates with the rest of the stack.
- Vertex AI & Agent Engine Managed model serving, Gemini integration, and the Agent Engine runtime for deploying and operating agents in production.
- Gemini Enterprise Enterprise search and grounded answers across firm knowledge and structured data, with the security and governance enterprises actually need.
- BigQuery Agents that reason directly over warehouse-scale structured data — query generation, schema-aware retrieval, and grounding on real records.
- Cloud Run Containerized agent services with autoscaling, IAM integration, and a deployment model that fits a small team.
- LangGraph & Google ADK Orchestration frameworks for multi-step reasoning, with memory and tool-use patterns that hold up in production.
- Python & Databricks Python as the engineering lingua franca; Databricks for teams already invested in a lakehouse stack.
Background
Production scale, not slideware.
Ectivi's team has architected and led engineering on firmwide agentic platforms spanning millions of clients, hundreds of thousands of companies, and tens of millions of relationships — built on Cloud Run, BigQuery, Vertex AI, and Agent Engine. That's the bar we hold smaller engagements to as well.
AI and agentic systems
Talk to us about what you're trying to build.
A short conversation usually surfaces whether AI is the right tool — and where to start if it is.
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