Sources
Loading...
Additional media
Loading...
DeepNewz, mobile.
People-sourced. AI-powered. Unbiased News.
Startup WithNeo has introduced “NEO,” a multi-agent artificial-intelligence system designed to automate end-to-end machine-learning development. The platform deploys 11 specialized agents that clean data, select and train models, tune hyper-parameters and push code to production without human intervention. WithNeo says the autonomous workflow allows users to describe a desired outcome rather than write and stitch together code, positioning NEO as a step beyond conventional coding copilots. In early testing, the system achieved a 34% medal rate on Kaggle competitions, according to the company.
Machine learning is powerful, but let’s be real: it’s painful to build & ship. Cleaning data, picking models, wrangling infra… feels like three jobs in one. Meet @withneo , the first Agentic ML engineer that does the grunt work for you. 11 specialized agents think & build https://t.co/uMpGfAWwkS
You built the model. You tuned the hyperparams. You babysat the training. You fought the infra. NEO does all of that. On its own. One command → full ML pipeline. This isn’t Copilot. This is command center. Join the @withneo waitlist → https://t.co/xvcI79RHc6 Here’s the https://t.co/4O0nlHNau2
check out Neo’s agentic ML engineer https://t.co/DRFRsweSUb
