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AI infrastructure

Secoda

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

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 #2017

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

source
generated read
High Signal interpretation

Secoda 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
AIobservabilitycataloginggovernanceAI-readyanalyticsdatalineagesearchable, intuitive knowledge 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 Secoda

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.

Upsolve AI

match 56

Upsolve AI is the analytics platform for deploying governed, grounded, and trustworthy data agents that know your business. Data teams use Upsolve's Agent Studio to get to AI-ready data foundations fast, unify and curate their context layer, and test, tune and monitor their Upsolve Data Agent to their benchmark. The company is founded by Ka Ling Wu and Serguei Balanovich, who built a similar product at Palantir before (featured in Palantir's S-1), growing it to 50+ enterprise customers and 8-fig

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

Namecard.ai

match 52

In the fast-paced world of business, your success often hinges on who you know. But finding the right people to grow your business shouldn't be left to chance or countless hours of networking. At Namecard.ai, we're transforming how businesses connect and grow. We harness the power of generative AI to understand your unique business DNA - your goals, challenges, strengths, and needs. We then connect you with the right people who can truly catalyze your growth.

shared product terms: fast, find, right, shouldn; same category: AI infrastructure; shared affiliation: Y Combinator

Labric

match 51

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

Airweave

match 50

Open-source context retrieval for AI agents across workspaces. It connects to productivity tools, email, document stores, or any private data source and transforms their contents into searchable knowledge bases for agents.

shared extracted concept terms: searchable, knowledge; shared product terms: transform, searchable, knowledge; shared product theme: context and memory; shared affiliation: Y Combinator

Landeed

match 49

Landeed is the AI-native digital infrastructure for property intelligence, verification, and transactions in India. We provide read/write rails that transform fragmented property and regulatory systems into continuously verified, machine-interpretable state. Powered by Terra, our proprietary property intelligence engine, Landeed converts messy, multi-source records into structured, queryable knowledge that supports legal-grade due diligence, collateral verification, title search, transfers, and

shared product terms: transform, engine, messy, knowledge; shared product theme: context and memory; same category: AI infrastructure; shared affiliation: Y Combinator

Shofo

match 48

We are building the world’s largest video library. We've aggregated billions of videos into a searchable index and use agents to find and label the exact datasets a lab needs on demand. If a lab needs 100K hours of cooking videos where someone is holding a pan, with reasoning annotations on top, our agents search the index, extract the matching subset, route it through our labeling pipeline, and deliver a custom dataset in days, not months.

shared extracted concept terms: searchable; shared product terms: find, hour, searchable, search; shared product theme: context and memory; shared affiliation: Y Combinator