GENERATIVE AI & LLMs

Build with GenAI.
Deploy with Confidence.

Pyrex designs and deploys production-ready generative AI solutions—AI assistants, RAG knowledge search, and automated workflows—built with security, evaluation, and LLMOps reliability from day one.

Finance analytics on devices

From Prototypes
to Production LLM Systems

Pyrex helps organizations move beyond demos and deploy generative AI that works inside real operations. We build AI assistants, RAG knowledge search, and agentic automation that improves speed, quality, and productivity—without sacrificing control.

Our approach includes use-case discovery, model selection, prompt + retrieval design, evaluation and testing, security guardrails, and LLMOps for monitoring and cost control—so your GenAI solutions scale with predictable quality and performance.

WE BUILD GENAI THAT WORKS IN REAL OPERATIONS

Generative AI should reduce workload and improve outcomes—not add risk. Pyrex delivers secure, evaluated LLM solutions that integrate cleanly, perform reliably, and scale across teams with confidence.

01

Launch AI Assistants that Improve Productivity

Deploy copilots that answer questions, summarize conversations, and complete tasks—reducing agent workload and improving customer experience.

02

Turn Documents into Searchable Enterprise Knowledge

Use RAG to convert policies, SOPs, manuals, and FAQs into a trusted knowledge layer that teams can query in seconds—securely and accurately.

03

Automate Content, Reporting & Back-Office Work

Speed up operations by automating drafts, reports, email responses, ticket triage, and workflow steps using agent-driven automation.

04

Reduce Risk with Tested, Governed GenAI

Improve quality and safety with evaluation, human-in-the-loop review, access controls, guardrails, and auditability—minimizing hallucinations and errors.

05

Integrate GenAI into Your CRM, ERP & Tools

Connect generative AI to your stack through APIs and secure connectors—so assistants can retrieve context and execute actions inside real workflows.

06

Scale LLM Systems Reliably and Cost-Efficiently

Operationalize GenAI with monitoring, caching, routing, and cost controls—delivering consistent latency, quality, and spend at scale.

How Pyrex Delivers Generative AI & LLMs

We combine LLM strategy, RAG knowledge search, agentic workflow automation, and LLMOps to deliver scalable, production-ready GenAI systems.

GenAI Use-Case Discovery & LLM Strategy

Identify high-impact generative AI use cases, prioritize quick wins, and define a practical LLM roadmap aligned to business goals and workflows.

AI Chatbots, Copilots & Virtual Assistants

Build customer and internal AI assistants for support, sales, operations, and HR—improving response quality, speed, and consistency across channels.

RAG Knowledge Search & Enterprise Q&A

Connect LLMs to your documents, policies, and systems using Retrieval-Augmented Generation (RAG) for accurate, grounded answers with citations and controls.

Agentic Workflow Automation & Approvals

Automate repetitive work with AI agents that draft, summarize, classify, and execute tasks using tools—while keeping approvals and human oversight in place.

Security, Privacy, Governance & Guardrails

Protect sensitive data with access control, redaction, retention, audit logs, and responsible AI practices that reduce risk and improve compliance.

LLMOps, Evaluation, Monitoring & Cost Control

Deploy production LLM systems with automated evaluation, observability, prompt/version management, caching, and cost optimization for predictable performance.

GenAI Outcomes You Can Measure

30–70%

Time saved on writing, summarization, and knowledge lookup with GenAI copilots and RAG workflows.

2–4x

Faster customer support and internal response times using production-ready AI assistants.

25–40%

Lower operational cost through automation, reuse, and LLM cost optimization with LLMOps.

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