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AI infrastructure

Landeed

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

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 #2229

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

source
generated read
High Signal interpretation

Landeed 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
LandeedLandeedTerraread/write railsAI-native digital infrastructuretransfers
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 Landeed

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.

Verdant

match 51

Verdant is building the AI infrastructure for local government, and we’re starting with AI-native end-to-end permitting software that dramatically cuts local government permit review time. We help applicants file complete, compliant applications upfront, then help staff review them - our AI reads documents, plans, and diagrams, then flags issues and drafts the final report. Staff just sign off. Pandemic-era incumbent contracts are churning because staff are stuck with legacy systems that only in

shared extracted concept terms: native; shared product terms: native, infrastructure, read, system; shared product theme: developer infrastructure; same category: AI infrastructure; shared affiliation: Y Combinator

Spade

match 49

We take messy transaction data and turn it into structured, verified records — with a platform, models, and tooling that help our customers use it everywhere it matters.

shared product terms: transaction, verifi, messy, record; shared product theme: context and memory; same category: AI infrastructure; shared affiliation: Y Combinator

Secoda

match 49

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

Cyble

match 48

To reimagine cybersecurity with an AI-native platform that unifies detection, protection and remediation across the digital attack surface Headquartered in Alpharetta, Georgia, and with offices in Australia, Malaysia, Singapore, Dubai, Saudi Arabia and India, Cyble has a global presence. To learn more about Cyble, visit www.cyble.com.

shared extracted concept terms: native, digital; shared product terms: native, digital, india; same category: AI infrastructure; shared affiliation: Y Combinator

HelixDB

match 45

As AI agents replace traditional software, they need a way to store, recall, and reason over contextual data. HelixDB gives them all of that in one system. We’re building the knowledge infrastructure every AI agent will depend on.

shared extracted concept terms: infrastructure; shared product terms: system, knowledge, infrastructure; shared product theme: context and memory, developer infrastructure; shared affiliation: Y Combinator

20n

match 45

The next decade is going to see a biotech revolution fueled by three technologies: ability to read DNA (sequencing), ability to write DNA (synthesis), and computational systems that predict what DNA to read and write. With sequencing and synthesis being mainstream now [1], 20n provides the computational systems that predict DNA design for novel industrial biotech and health applications. At 20n, we are taking a fresh look at turning biological data into information. We approach it as a big data

shared extracted concept terms: read, write; shared product terms: read, write, system; shared affiliation: Y Combinator