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AI infrastructure

Topological

Topological is developing physics-based foundation models for CAD optimization. We help hardware teams iterate at the same speed that software teams do. Our technology is accelerating the engineering workflow with AI and scales design and optimization to identify the ideal designs for complex problems given their physical constraints with enhanced speed and performance. Our first model, UToP-v1, is a SOTA topology optimization model that understands physics, geometry, and manufacturability. It c

sources
1
Evidence entries preserved.
affiliations
1
Y Combinator
competitors
6
Mapped from High Signal graph features.
status
generated
D1 lookup
last updated
2026-07-15
16:41 UTC
source evidence
Why this company exists here

Y Combinator

yc-company-directory #3048

Topological is developing physics-based foundation models for CAD optimization. We help hardware teams iterate at the same speed that software teams do. Our technology is accelerating the engineering workflow with AI and scales design and optimization to identify the ideal designs for complex problems given their physical constraints with enhanced speed and performance. Our first model, UToP-v1, is a SOTA topology optimization model that understands physics, geometry, and manufacturability. It c

source
generated read
High Signal interpretation

Topological is classified as AI infrastructure from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.

offline extraction
Product facets
UToP-v1SOTA topology optimization modelengineering workflowAI
mapping method
Similarity graph

Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.

discovery cluster

Companies similar to Topological

AI infrastructure · 6 peers

A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.

Quary

match 63

Quary is the first analytics engineering platform that brings the entire model-test-deploy workflow into the browser. At our first customer, a fast-growing fintech company, Quary empowers analysts in the growth team to self-serve, contribute, and reduce reliance on the data engineering team, letting teams ship metrics faster & executives get answers sooner

shared extracted concept terms: model, workflow, engineer; shared product terms: engineer, model, workflow; shared product theme: workflow automation; same category: AI infrastructure; shared affiliation: Y Combinator

Partcl

match 58

Partcl modernizes chip design automation with physics-informed models powered by GPU acceleration. Our tools run up to 700× faster than legacy solutions, cutting weeks off development and unlocking AI-driven optimization.

shared extracted concept terms: optimization, model; shared product terms: design, physic, model, optimization; shared product theme: workflow automation; shared affiliation: Y Combinator

Ginkgo Bioworks

match 56

Ginkgo Bioworks is the organism company. We design custom organisms for customers across multiple markets. We build our foundries to scale the process of organism engineering using software and hardware automation. Organism engineers at Ginkgo learn from nature to develop new organisms that replace technology with biology.

shared extracted concept terms: engineer; shared product terms: design, scale, engineer, hardware; shared product theme: workflow automation; shared affiliation: Y Combinator

Bidflow

match 54

We use AI to help electricians speed up the time it takes to submit a competitive bid to a job. We do this by scanning complex CAD drawings and 10X-ing the time it takes to estimate a job. This involves using vision models to read and count complex symbols in large PDFs, which typically take hours (sometimes days) to do precisely. Every missed symbol can cost thousands, and our AI can count to 99% accuracy.

shared extracted concept terms: model; shared product terms: speed, do, complex, cad; same category: AI infrastructure; shared affiliation: Y Combinator

DeltaGenAI

match 52

DeltaGen transforms AI from a complex tool for the elite into an accessible, powerful asset for employees at all levels. Our enterprise AI platform eliminates the need for prompting and coding, delivering tailored results seamlessly. Key features include LinkedIn integration, role-specific workflows, and multi-model capabilities, all secured with top-tier data privacy. Join us in redefining AI usability and driving widespread adoption.

shared extracted concept terms: model, workflow; shared product terms: complex, workflow, model; shared product theme: workflow automation; same category: AI infrastructure

RunAnywhere

match 51

Edge AI is inevitable, but shipping it is painful: every device class behaves differently, runtimes vary, models are huge, and performance collapses under memory/power constraints. RunAnywhere turns that into an enterprise-ready workflow: one SDK to run models on-device, plus a control plane to manage models, enforce policies, and measure outcomes across thousands of devices.

shared extracted concept terms: model; shared product terms: model, performance, constraint, workflow; shared product theme: workflow automation; same category: AI infrastructure; shared affiliation: Y Combinator