# Eventum.ai

> Senior AI delivery and embedded talent for production AI systems — discovery, build, evaluation, deployment, and handoff. For founders, CTOs, and AI leaders who care more about shipped systems than AI theatre.

## Primary pages

- [Home](https://www.eventum.ai/): Senior AI delivery + embedded talent overview.
- [AI Project Delivery](https://www.eventum.ai/services/ai-project-delivery): Scope, build, ship AI systems.
- [AI Talent & Staffing](https://www.eventum.ai/services/ai-talent-staffing): Embedded senior AI engineers.
- [AI Opportunity Audit](https://www.eventum.ai/audit): Two-week fixed-price diagnostic: where AI will pay, with a build-ready plan.
- [Insights / Blog](https://www.eventum.ai/blog): Technical perspectives from production AI work.
- [Case Studies](https://www.eventum.ai/case-studies): Shipped systems with measured outcomes.
- [About](https://www.eventum.ai/about)
- [Book a Call](https://www.eventum.ai/book-a-call)
- [Apply as Talent](https://www.eventum.ai/talent/apply)

## Services

- [AI Project Delivery](https://www.eventum.ai/services/ai-project-delivery)
- [AI Talent & Staffing](https://www.eventum.ai/services/ai-talent-staffing)

## Case studies

- [How financial analysts unlocked productivity with a custom AI Slackbot](https://www.eventum.ai/case-studies/financial-analysts-custom-ai-slackbot)
- [How Nouns DAO made hundreds of hours of voice and chat searchable with a RAG assistant](https://www.eventum.ai/case-studies/how-nouns-dao-revolutionized-information-sharing-with-roko)
- [How Storia keeps storyboard characters consistent with a custom fine-tuned vision model](https://www.eventum.ai/case-studies/storia-character-consistency-ai-storyboards)
- [Integrating ACE++ and UNO into a production generative AI platform](https://www.eventum.ai/case-studies/advancing-generative-ai-seamless-ace-and-uno-implementation)
- [How Plai Labs shipped a generative AI social app in 4 months](https://www.eventum.ai/case-studies/how-plailabs-launched-a-viral-generative-ai-app-in-4-months)
- [How Deepcell reduced its model training expenses by 50% in 2 months](https://www.eventum.ai/case-studies/how-deepcell-reduced-its-model-training-expenses-by-50-in-2-months)
- [How Sanas achieved a 40% faster ML dev cycle with MLOps and ETL](https://www.eventum.ai/case-studies/how-sanas-achieved-40-faster-ml-dev-cycle-with-mlops-and-etl)
- [How Stellar turned Claude Code into an engineering advantage](https://www.eventum.ai/case-studies/stellar-claude-code-enablement)
- [How a boutique AI consultancy hired 2 senior ML/data engineers on a tight timeline](https://www.eventum.ai/case-studies/boutique-ai-consultancy-ml-hires)
- [How a growing AI consultancy added 2 senior engineers for backend- and data-heavy delivery](https://www.eventum.ai/case-studies/ai-systems-consultancy-backend-data-hires)

## Insights / Articles

- [The AI Maturity Model for Founder-Led Companies](https://www.eventum.ai/blog/the-ai-maturity-model-for-founder-led-companies)
- [Why Most AI Pilots Never Make It to Production](https://www.eventum.ai/blog/why-most-ai-pilots-never-make-it-to-production)
- [Rent First, Hire Later: A Founder's Framework for Building an AI Team](https://www.eventum.ai/blog/rent-first-hire-later-a-founder-s-framework-for-building-an-ai-team)
- [Guardrails for Production Document Processing: A Technical Guide](https://www.eventum.ai/blog/guardrails-for-production-document-processing-a-technical-guide)
- [Hiring for AI Delivery: When the Bottleneck Is MLOps, Not ML Engineering](https://www.eventum.ai/blog/hiring-for-ai-delivery-when-the-bottleneck-is-mlops-not-ml-engineering)
- [Why AI Hiring Takes So Long and How to Fix It Without Lowering the Bar](https://www.eventum.ai/blog/why-ai-hiring-takes-so-long-and-how-to-fix-it-without-lowering-the-bar)
- [Inside Eventum’s AI Talent Vetting Process](https://www.eventum.ai/blog/inside-eventum-s-ai-talent-vetting-process)
- [Here’s How to Hire a Great ML Engineer](https://www.eventum.ai/blog/here-s-how-to-hire-a-great-ml-engineer)
- [AI Project Rescue: How to Stabilize a Brittle Prototype](https://www.eventum.ai/blog/ai-project-rescue-how-to-stabilize-a-brittle-prototype)
- [The AI Agent Launch Readiness Playbook](https://www.eventum.ai/blog/the-ai-agent-launch-readiness-playbook)
- [The LLMOps Playbook for Production AI Applications](https://www.eventum.ai/blog/the-llmops-playbook-for-production-ai-applications)
- [What Makes a RAG System Production-Ready](https://www.eventum.ai/blog/what-makes-a-rag-system-production-ready)
- [How We Run Discovery for AI Initiatives](https://www.eventum.ai/blog/how-we-run-discovery-for-ai-initiatives)
- [What a Strong Machine Learning Engineer Looks Like in 2026](https://www.eventum.ai/blog/what-a-strong-machine-learning-engineer-looks-like-in-2026)
- [How to Evaluate LLM Assistants Before They Reach Production](https://www.eventum.ai/blog/how-to-evaluate-llm-assistants-before-they-reach-production)
- [Eventum’s Guide to Mastering RAG: Chunking Done Right](https://www.eventum.ai/blog/mastering-rag-chunking)
- [Top 10 Tips for Cutting Costs in ML Systems](https://www.eventum.ai/blog/top-10-tips-for-cutting-costs-in-ml-systems)
- [Three Breakthroughs That Shaped the Modern Transformer Architecture](https://www.eventum.ai/blog/transformer-architecture-breakthroughs)
- [Summary of DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning](https://www.eventum.ai/blog/deepseek-r1-reasoning)
- [How to Build a Market Leading AI Product: Strategies for Hiring Elite ML Teams](https://www.eventum.ai/blog/hiring-elite-ml-teams)

## Optional

- [Sitemap (XML)](https://www.eventum.ai/sitemap.xml)
- [Privacy policy](https://www.eventum.ai/privacy)
- [Terms of service](https://www.eventum.ai/terms)