Neo AI
@withneo
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First autonomous AI Engineer
Matrix
Joined December 2022
AutoML is DEAD!. It was supposed to handle the repetitive parts of machine learning, so teams could focus on the bigger picture. But the reality never lived up to the pitch. You still end up fixing broken outputs, stitching code into pipelines, and spending more time than it
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And that’s why AutoML is dead and the world needs Agentic ML.
@withneo Biggest AutoML challenges in 2025: lack of transparency (black-box models hinder understanding), high computational costs, dependency on high-quality data, and limited customization for complex problems. ML engineers often hate it due to reduced control over processes, perceived.
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Agentic ML is the future!. Everything else is a hack. AutoML is rigid. Co-pilots are clueless. Neither can reason, adapt, or ship full ML workflows. We’ve been duct-taping tools and calling it innovation. Enough. Agentic ML doesn’t just assist. It executes. It plans, builds,
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Fully autonomous ML engineer yet under your command… join the waitlist to get early access.
Introducing NEO: The first Agentic Machine Learning Engineer. NEO handles data exploration, feature engineering, training, tuning, deployment, and monitoring, end to end. Saving ML engineers thousands of hours of grunt work. Benchmarks:.NEO achieved SOTA 34% on MLE Bench.
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Decomposing word-word correlation matrix and computing non-negative matrices:
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Improving the word error rate for whisper model on clinical speech dataset:
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Doing sleep stage data exploration and feature analysis using a publicly sourced wearable dataset:
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Watch NEO develop multiple ETA prediction models and perform comparative evaluation:
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Get early access: Neo is production-ready:.✅ Native integrations: Snowflake, Databricks, BigQuery, and more.✅ Deployable in your own VPC.✅ Fully autonomous, fully auditable.
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Introducing NEO: The first Agentic Machine Learning Engineer. It works like a full-stack ML engineer that never sleeps:.handling data exploration, feature engineering, training, tuning, deployment, and monitoring, end to end. Powered by 11 specialized agents, NEO runs
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Not 1.Not 2.Not 3. But 11 specialised Agents working in sync to clean your data, engineer features, train your models and much more….Stay tuned… we are cooking something great for ML engineers.
Talking to the team right now, this is for people who are building models, has 11 specialized agents, all designed for teams who are building models. What this means? More ML models are coming. Will speed up AI development teams.
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RT @markfielding99: OpenAI's recent benchmark test: 75 Kaggle competitions to measure AI system performance. AI problem-solving for the v….
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Wish you a very Happy New Year 🎉 May 2025 be the year of AI agents!! 🤖
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Launching the first AI machine learning engineer with @Scobleizer . Watch us chat. Join the waitlist here -
First look at @saurabhvij137 and @withneo, launched this morning. "First autonomous AI Engineer.". Unaligned #35.
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NEO can manage datasets and perform exploratory analysis by itself for building models.
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NEO’s score qualifies it as a Kaggle Grandmaster, effectively bringing world-class ML expertise to your fingertips. Neo is getting ready for early beta users. Join our waitlist here:
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Introducing NEO: The first Autonomous Machine Learning Engineer. NEO is a multi-agent system that automates the entire ML workflow, saving engineers thousands of hours of grunt work. Our recent advancements in multi-step reasoning and memory orchestration have enabled NEO to
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