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Eventum.ai

from eventum import talent, ai, consulting

We are a highly technical AI talent network and consulting agency that works with companies to accelerate research, development, and engineering of AI systems.

No fluff, just world-class AI talent to help you build incredible technology.

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About us

Our talent is split SF/Bay Area are and Eastern Europe

• SF/Bay Area Talent
  • Includes former Meta, OpenAI, Google, and early-employees of AI unicorn startups
• International ML talent
  • Experience at world's biggest tech companies
  • Graduates from top ML university programs
  • Winners of international ML competitions and science olympiads
  • Lower rates, higher quality work

We have a very rigorous ML interview process for all talent

• Our most Senior ML Engineers perform technical-interviews
  • ML theory, ML practice, statistics, probability, Software engineering
  • Narrow ML domains like NLP/LLMs, vision, audio, MLOPs
• We only accept top 1% of talent
  • Vast majority of applicants fail the technical interviews
  • Our ML Engineers are usually the most technical and experienced people to join our clients' teams

Our founder Erik Gafni is a seasoned AI entrepreneur, researcher, and engineer.

Services

Consult-to-hire (most popular)

• Work with a top 1% ML Engineer on a consulting basis, with an option to hire them full-time at a later date
  • Consultant must also be interested in the full-time hire
• European ML Engineer:
  • $40-$75/hr
• SF/Bay Area ML Engineer:
  • $150+/hr
• Minimum hours:
  • 20/week

Recruiting

• Directly hire a top 1% ML Engineer as a full-time employee

Project-based Consulting

• Work with our team directly to deliver a result or specific milestones. We only work with companies that are funded.

Advising

• Get advice on your AI strategy, team, or project.

Example Case Studies

Salt AI

A visual development platform for teams to build AI faster in an open ecosystem designed for scale ($33M A16Z Seed round, founders of MySpace).

• Seeded the entire initial team with 5+ Eventum ML Engineers and 1 ML Product Manager
  • Model fine-tuning
  • Perplexity like search
  • Audio visualization
  • LLM Agents
  • Image upscaling
• A senior ML Manager on our team in SF helped get the initial product and research off the ground

Eventum built and managed our ML team, models, and software from the ground up at below market rates delivering incredible results. They are an essential partner for us that I couldn’t recommend more highly.

Jim Benedetto, CTO, Co-Founder

Storia.ai

AI expert agent for the worlds code (YC startup).

• We helped with ML talent to rapidly iterate on the product
• Fine-tuning (LLMs, stable-diffusion) and model capability R&D

Sanas.ai

AI voice accent-removal for call centers (Series B, $75M Raised).

• 6+ Eventum ML Engineers helped
  • MLOps
    • Implemented ETL system with Dagster to automate extremely manual data and ML processes, saving a huge amount of developer time
      • Eventum is one of Dagster's Trusted Partners
      • Dagster is our current recommended software for all ETL needs
    • Custom CI/CD on windows machines
    • Cloud cost optimization
  • Audio Research and Development
    • Assisted R&D for neural network model improvements

"Eventum came in and quenched our MLOps fire in quick order ensuring our ML Scientists could make rapid progress. We then immediately hired them to help build us a generative AI audio model from scratch"

Shawn Zhang, CTO, Co-Founder

Nouns DAO

World's Largest DAO ($30M+ treasury).

• Question/Answering chat-bot (RAG, knowledge graphs) and knowledge-base of Nouns information
  • Voice Conversation Recording and Summarization
  • Auto-Indexing for Searchable Knowledge Hub
  • Web Application for Accessibility

DeepCell.ai

Biological cell-sorting with microfluidics and AI (Series B, $70M raised).

• Rebuilt their entire computer vision training pipeline from scratch
• Rebuilt their ML training job submission system from scratch
• R&D
  • Decreased labeling requirements by >90% using self-supervised learning
  • Decreased mean error of neural network predictions by >40%

GenerativeAlpha AI

Making LLM agents to automate investment research and decisions in stock and crypto markets (Series A).

• We've worked with them on:
  • Deep learning and classical ML for financial time-series modeling
  • Fine-tuning LLMs to better reason about financial news and its market impact
  • MLOps
    • Multi-cloud ML job submission system
    • Kubernetes based low-latency and real-time prediction of financial markets with custom models

etc.

Contact us