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AI infrastructure

Labric

Labric is building the data layer that makes AI work for science. We capture messy lab data from instruments and tools, clean it, and connect it—so researchers can actually use AI to accelerate discovery.

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 #319

Labric is building the data layer that makes AI work for science. We capture messy lab data from instruments and tools, clean it, and connect it—so researchers can actually use AI to accelerate discovery.

source
generated read
High Signal interpretation

Labric 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
AIsciencedata layerinstruments and tools
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 Labric

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.

Secoda

match 51

We believe that finding the right data shouldn’t require a technical background or hours of digging. That’s why Secoda applies AI to transform messy, siloed analytics into a searchable, intuitive knowledge layer—so every question gets a fast, useful answer. Our vision is to become the AI search engine for your company’s analytics, making data discovery as seamless as finding a website on Google. To do that, Secoda gets data AI-ready by unifying governance, cataloging, observability, and lineage

shared extracted concept terms: layer; shared product terms: layer, messy, so, discovery; shared product theme: context and memory; same category: AI infrastructure; shared affiliation: Y Combinator

Lopus

match 35

Pointing an AI at all your data is a recipe for disaster - it will confidently lie, hallucinate, and drive your business into the ground. What if you could trust your AI the way you trust a calculator? That's Lopus. We build a self-healing semantic layer that captures your business logic. Including every metric, every definition, every edge case. Defined once, and trusted everywhere. No SQL. No dashboards. No waiting on the data team.

shared extracted concept terms: layer; shared product terms: layer, capture; shared product theme: context and memory; same category: AI infrastructure; shared affiliation: Y Combinator

Splashup

match 27

Splashup, formerly known as fauxto, is an online image editing service that provides some advanced tools and is unique for its incorporation of image editing layer effects. The site is still in beta, and so does not offer full editing capabilities yet.

shared extracted concept terms: layer; shared product terms: layer, so; shared affiliation: Y Combinator

Tokuma Labs

match 26

Building the institutional memory layer for professional services in the age of commoditised AI.

shared extracted concept terms: layer; shared product terms: layer; shared product theme: context and memory; same category: AI infrastructure

Outlander Materials

match 26

Clean biotech and materials science company eradicating waste.

shared extracted concept terms: science; shared product terms: clean, science

AirMyne

match 25

AirMyne is building machines to capture & remove carbon dioxide from ambient atmospheric air so it can be utilized or sequestered downstream. Our team is based in Berkeley, CA.

shared product terms: capture, so; shared product theme: context and memory; same category: AI infrastructure; shared affiliation: Y Combinator