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AI infrastructure

Lopus

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.

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 #5751

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.

source
generated read
High Signal interpretation

Lopus 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
AIbusinesscalculatorself-healing semantic layer
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 Lopus

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.

Brewit

match 61

Brewit helps companies to create their role-specific BI agents, trained on their database (through feeding sample queries, metric definitions, column descriptions, etc. to create a semantic layer) that can answer data questions/provide data insights (write SQL, generate plots) through a natural language experience.

shared extracted concept terms: semantic, layer; shared product terms: metric, definition, semantic, layer; shared affiliation: Y Combinator

Kaelio

match 48

Kaelio is the company behind ktx, the open-source context layer that makes data agents reliable. Data agents today fail because they lack structured context and determinism. Metrics are defined in five places, governed in none. Teams spend months on semantic layer projects that never finish. ktx fixes that. Connect your warehouse, BI tools, and docs. ktx builds the context layer automatically. Your team governs it. Any agent can query it. One context layer across your entire data stack.

shared extracted concept terms: layer; shared product terms: layer, metric, defin, semantic; shared product theme: context and memory; shared affiliation: Y Combinator

Honeydew

match 42

The way people use data is constantly changing. Data teams must support every new context without breaking the shared truth. Honeydew’s semantic layer does it automatically. We validate each change and update every data flow. Using Honeydew, data teams can support 10x more data users - without more engineers or compromising integrity.

shared extracted concept terms: semantic, layer; shared product terms: semantic, layer; shared product theme: context and memory; shared affiliation: Y Combinator

Aware

match 39

Aware is an intelligent business semantic layer that makes it possible for humans and AI to unlock the business potential in blockchain data by transforming it into a unified, trustable and understandable business language.

shared extracted concept terms: semantic, layer; shared product terms: semantic, layer; same category: AI infrastructure

Labric

match 35

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.

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

Interfere

match 35

Interfere is the experience layer for modern product teams. Detect, triage, and fix bugs automatically – no human required. Interfere finds issues in your app, understands what's happening, and owns resolution from first signal to production.

shared extracted concept terms: layer; shared product terms: layer, no, what; shared affiliation: Y Combinator