We design, build, and deploy production-grade LLM and agentic AI systems for enterprise teams.
We help enterprise teams move from AI experiments to production-grade LLM systems that deliver measurable business value.
Multi-agent orchestration systems using LangGraph, tool-using agents, and human-in-the-loop patterns. We design agent architectures that are reliable, observable, and ready for production.
Enterprise retrieval-augmented generation with vector databases, hybrid search, chunking strategies, and grounding pipelines that give your LLMs accurate, source-cited answers.
Systematic benchmarking, guardrails, prompt engineering audits, and team enablement. We help you measure what matters and build internal AI capability that lasts.
We build LLM and agentic AI systems for teams operating in regulated, data-rich, and operations-heavy environments.
LLM agents for compliance, fraud detection, and customer intelligence.
Process intelligence, quality systems, and operational AI.
Clinical workflow automation, document AI, and knowledge retrieval.
Internal AI platforms, developer tooling, and agentic productivity systems.
A structured engagement model that takes you from idea to production deployment, with clarity at every stage.
We audit your current workflows, data sources, and AI readiness. We identify the highest-impact use cases and define success criteria before writing any code.
We architect and implement your LLM system — agents, retrieval pipelines, evaluations, and integrations — with production-grade engineering from day one.
We ship to production with monitoring, guardrails, and observability built in. Then we help your team own and extend the system independently.
Founder, DigiFab AI
Former Staff AI Software Engineer at Intel with a PhD in Electrical Engineering. Dr. Berkun has built production machine learning and LLM systems for enterprise environments and teaches AI, deep learning, and generative AI to over 380,000 learners through LinkedIn Learning and universities including Columbia, Portland State, and Michigan State.
DigiFab AI is her consultancy focused on helping enterprise teams design, build, and deploy production-grade LLM and agentic AI systems that deliver real business outcomes.
Dr. Berkun teaches AI, deep learning, and generative AI to a global audience through LinkedIn Learning and top universities.
If your team is exploring LLM adoption or struggling to move AI projects into production, we should talk.
Technical leaders and engineering teams building internal AI products who need expert guidance on architecture, evaluation, and production readiness.
CTOs, VPs of Engineering, and AI leads evaluating LLM strategies who need a trusted partner to cut through hype and build what actually works.
Organizations in logistics, insurance, healthcare, and supply chain that need AI agents to automate complex, document-heavy workflows at scale.
We work with a select number of enterprise clients at a time to ensure deep, focused engagement. Let's explore how LLM and agentic AI systems can transform your operations.
