Premier Google Cloud Partner | Evonence

Native Gemini Transformation, Under Your Perimeter.

Move beyond fragmented 3rd-party LLMs. Evonence consolidates your GenAI transformation natively on Vertex AI—keeping your proprietary IP strictly within your secure Google Cloud tenant. Deploy secure custom models, RAG pipelines, and autonomous agents engineered for ROI.

Schedule a Strategic AI Briefing

Native Vertex AI Lifecycle

Third-party LLM APIs inherently introduce latency, operational complexity, and massive security risks. Evonence consolidates your AI infrastructure natively onto Google Cloud Vertex AI.

Custom Model Development

We build production-ready AI pipelines utilizing Gemini 1.5 Pro and Gemini 1.5 Flash, strictly within your tenant boundary.

  • Gemini 1.5 Context: Deploy models utilizing 1 million token context windows.
  • Domain-Specific Tuning: Adaptation of foundational models (PEFT, LoRA) for highly regulated industries.

Model Garden Governance

Manage over 130+ foundation, open-source, and third-party models natively hosted on Google Cloud infrastructure.

  • Simplified Governance: Establish standard model selection criteria in a unified console.
  • BigQuery Integration: Train models instantly where transactional data resides.
Explore Vertex Specs

Enterprise Grounding (RAG) pipelines

Large Language Models hallucinate when they lack context. We build custom RAG architectures using Vertex AI Vector Search to ground Gemini strictly in your proprietary truth.

Vector Search Optimization

We convert massive internal repositories (PDFs, Intranets, Codebases) into high-fidelity embeddings for semantic retrieval.

  • BigQuery Vector Type: Seamless vector storage within your existing data warehouse.
  • Google Search Grounding: Enrich outputs with real-time, sourced Search data.

Dynamic Tool Use

Gemini goes beyond chat to query structured databases (Cloud SQL, Spanner) in real-time, respecting existing permissions.

  • Database Grounding: Natural language querying against transactional systems.
  • Strict Source Citation: Prevent hallucinations with cited evidence from internal docs.

Agents & MLOps Pipelines

Move from passive chatbots to autonomous actions. Evonence utilizes Vertex AI Agent Builder to automate complex enterprise workflows across Jira, Salesforce, SAP, and custom APIs.

Vertex AI Agent Builder

Rapidly build and deploy multi-step conversational agents that execute transactions directly across your enterprise toolchain.

  • Workflow Automation: AI agents that execute HR/IT processes autonomously.
  • API Integration: Gemini utilizes Function Calling to interact securely with custom endpoints.

Continuous MLOps (CI/CD)

Eliminate manual ML processes. We establish secure pipelines (MLOps) for training, evaluation, deployment, and continuous monitoring.

  • Model Evaluation: Automated testing against performance benchmarks.
  • Continuous Monitoring: Real-time detection of model drift and bias.

Zero Trust Security & Governance

Deploy Generative AI without compromising your compliance perimeter. Evonence ensures your Gemini deployment adheres strictly to Zero Trust architecture, shields IP, and respects the rigid data tenancy of regulated industries.

Strict Data Tenancy

Your enterprise data, prompts, and responses are NEVER used to train the base foundational models of Google or other providers.

  • No Public LLM Training: Complete data exfiltration protection.
  • VPC Service Controls: Ring-fenced network perimeter for Vertex AI resources.

DLP & Compliance Governance

Automated screening of inputs and outputs ensures compliance with rigid regulatory frameworks.

  • Data Loss Prevention (DLP): Real-time masking of PII (Personally Identifiable Information) in prompts.
  • CMEK Integration: Utilize Customer-Managed Encryption Keys for stored model data.