Eventum connects the top 1% of AI engineers with the world’s most innovative companies. Based in Silicon Valley and led by seasoned AI experts, we specialize in helping clients hire elite machine learning professionals.
Our engineers often hold advanced degrees in ML and bring years of experience from leading tech companies or high-growth startups.
We have deep expertise in every ML subfield from LLM agents to linear regression.
Rapidly augment your team with engineers, researchers, LLM experts, MLOps specialists, team leads and developers of all seniorities.
Our developers are available part time and full time.
Build Agents on top of OpenAI, Anthropic, or open source LLMs.
Extract relevant information from thousands of PDFs. Create a customer support agent. Screen resumes. Extract structured data from unstructured text.
We expertly orchestrate AI projects from start to finish, building you start of the art models and software. Working together with your team we allocate resources, manage risks, and ensure seamless execution for success.
Our team empowers ML initiatives through seamless MLOps. We build ETL, distributed model training, cloud infrastructure, cloud billing reports, continuous integration/deployment and anything else to keep your ML team efficient.
Book a 30 minute consultation with us absolutely FREE
Empower creativity through Generative AI. Advanced algorithms drive innovative content creation across art, music, text, and design, redefining boundaries and fostering human-AI synergy for exceptional project elevation.
Attain peak stability with our leading Stable Diffusion Services. Our expert team ensures equilibrium in diverse systems, from finance to industry and networks, providing confident navigation through precision-based solutions.
Enhance auditory experiences via AI Audio Projects. Our experts create immersive soundscapes, harnessing AI for noise reduction, enhancement, synthesis, and music generation, resonating deeply with audiences.
Ship data p ipelines with extraordinary velocity. We are a Trusted Partner of Dagster, which we often use to help with all aspects of all things data such as lifecycle, scheduling and observability.
We thoroughly explore your data, challenges, and AI capabilities to identify fresh business prospects, define specific use cases, and chart the course for AI software development.
Subsequently, we elucidate the feature set of the AI solution, devise the architecture, and select appropriate tools and technologies.
During the creation of a Proof of Concept, we engage in training and fine-tuning of ML models and AI algorithms, consistently subjecting them to testing for their feasibility.
We craft the application using optimal artificial intelligence development practices, integrate the ML models, and deploy your solution within the intended environment.
Image, video, text, and audio generation. Training custom generative AI models and fine tuning open source models.
Book a 30 minute consultation with our AI experts absolutely FREE
Book a 30 minute consultation with our AI experts absolutely FREE
"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."
“Eventum helped us go from stuck to cutting edge in a matter of months, rewriting our entire ML training stack and continually supporting our R&D efforts.”
“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”
Generative AI next gen social media. Plai Labs was founded by previous founders of MySpace and Jam City, Chris DeWolfe and Aber Whitcomb, receiving $33M in Seed Funding from a16z.
- We acted as interim ML team lead
- Built a team of 6 ML Engineers and 1 Product Manager from the ground up
- Launched app into the App Store in 4 months, currently going viral
DeepCell ($70M Series B) is a company building micro-fluidic microscope based cell sorting tech.
- Rewrote deep learning computer vision pipeline
- Applied self-supervised representation learning, adversarial learning, recalibration, and neural network architecture design
- Dropped manual labelling requirements from millions to thousands
- Provided R&D roadmapping & mentorship of ML team
Accent removal for call centres, enabling companies to match call centre operator voice to the geography of the customer. $50M raised
- Developed custom CI/CD, dramatically improving developer efficiency and decreasing chances of model regressions
- Created a cloud-agnostic solution to model training
- Decreased cloud spend by ~$30K a month
- Enabled a further 70% cost reduction in model training