AI & ML

Advanced intelligence using generative AI and machine learning.

Advanced intelligence using generative AI and machine learning. Vertex applies artificial intelligence and machine learning where they create measurable business outcomes not as experimental add-ons.

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Overview

Vertex applies artificial intelligence and machine learning where they create measurable business outcomes not as experimental add-ons. Our teams work with large language models, retrieval-augmented generation, predictive scoring, and classical ML pipelines, selecting the right technique for each problem.

We integrate OpenAI, Anthropic Claude, TensorFlow, PyTorch, LangChain, and Hugging Face into production systems with evaluation harnesses, guardrails, cost controls, and monitoring. Every AI feature is designed with fallback behavior, human oversight where required, and clear metrics tied to product goals.

Whether you need an enterprise assistant grounded in internal knowledge, fraud scoring models, forecasting pipelines, or agentic workflows that connect to your existing systems, we deliver AI that survives contact with real users and auditors.

Our approach

We start by defining success metrics and failure modes before writing model code. Prototypes move to production only after evaluation against held-out data and stakeholder review.

What we deliver

Retrieval-augmented generation (RAG) with citation and access controls

LLM evaluation, prompt versioning, and production guardrails

Predictive models for fraud, churn, forecasting, and recommendations

Feature pipelines, model training, and MLOps deployment workflows

Cost and latency optimization for high-volume inference

Integration with existing data warehouses and operational systems

Technologies we use

OpenAIAnthropic ClaudeTensorFlowPyTorchLangChainHugging Facescikit-learnNumPyPandas