Synthetic Sciences

We build modular humanoid robots and the software platform that allows anyone to train, deploy, and scale robots for real-world tasks. Today, teaching a robot a new skill requires robotics engineers, machine learning engineers, training infrastructure, and significant compute resources. We reduce that process to: Record → Upload → Train → Deploy. Our robots are modular and configurable, with interchangeable end effectors, configurable sensors, and multiple deployment configurations. We believe c

shared product terms: infrastructure, real, require, proces; shared product theme: context and memory, developer infrastructure; same category: AI infrastructure; shared affiliation: Y Combinator

Here’s a secret between you and me: even the world’s largest manufacturers, companies like Tesla and Toyota, waste billions of dollars every year making products with quality issues. Building high-quality things at scale is incredibly hard. It doesn’t just happen because you hire smart people or buy good machines. It requires seeing problems early, understanding them deeply, and acting in real time, something factories were never designed to do. At Overview.ai, we’re changing that. We build cust

shared product terms: quality, high, thing, scale; same category: AI infrastructure; shared affiliation: Y Combinator

Every breakthrough AI application, from foundation models to autonomous vehicles, relies on processing massive volumes of images, video, and complex data. But today’s data platforms (like Databricks and Snowflake) are built on top of tools made for spreadsheet-like analytics, not the petabytes of multimodal data that power AI. As a result, teams waste months on brittle infrastructure instead of conducting research and building their core product. Eventual was founded in 2022 to solve this. Our m

shared product terms: foundation, model, autonomou, infrastructure; shared product theme: developer infrastructure; same category: AI infrastructure; shared affiliation: Y Combinator

We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI. Our mission is to bring frontier-grade infrastructure to everyone. We're starting by building large scale high performance computing (HPC) clusters for quantitative trading firms to run parallel simulation workloads such as backtesting. Our technology generalizes to critical AI workloads such as post-training with reinforcement learning, fine-tuning, long-horizon agents with high tool

shared product terms: re, infrastructure, parallel, high; shared product theme: developer infrastructure; shared affiliation: Y Combinator

UrbanKisaan is an AI-for-plant-biology company. We build foundation models and the physical infrastructure that trains them. Shipping a single new seed variety takes about ten+ years. Two on germplasm, three on crosses and selection, three or four on field trials, one on regulatory. Inside that decade, prediction and experiment never properly meet. DNA is abundant, phenotype data is scarce and unpaired, and the cycle never trains itself. We closed that loop. Three foundation models cover the ups

shared product terms: infrastructure, foundation, model, two; shared product theme: developer infrastructure; same category: AI infrastructure; shared affiliation: Y Combinator

The new way to train and scale scientific advisory boards.

shared product terms: train, scale, scientific