Company profile

Onehouse

Onehouse delivers a new bedrock for your data, through a cloud-native, fully-managed lakehouse service built on Apache Hudi.
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Live profile

Last verified 4 months ago
kustiq.com/company/onehouse.ai · cite this page

Onehouse delivers a new bedrock for your data, through a cloud-native, fully-managed lakehouse service built on Apache Hudi.

Employees

51-200

Funding

Series B

AI Classification

DataAIData Infrastructure

Onehouse is a fully-managed, open data lakehouse platform built on Apache Hudi, Apache Iceberg, and Delta Lake, deployed in the customer's VPC. It serves enterprises running analytics, data science, ML, and GenAI workloads from a unified, vendor-neutral data architecture.

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Competitors

Zepl — Company Comparison (2026)

Onehouse is one of 2,671 B2B companies in the Kustiq directory.

Onehouse sits among 50 data infrastructure companies in our Data & AI directory.

Similar profiles: Betterworks, Appcues, Freshpaint, and Comet.

Both sit in the 51-200 headcount band, and both are at Series B. See Onehouse vs Betterworks side by side.

Both sit in the 51-200 headcount band, and both are at Series B. See Onehouse vs Appcues side by side.

Both sit in the 51-200 headcount band, and both are at Series B. See Onehouse vs Freshpaint side by side.

Segment benchmark

How Onehouse compares with other Data Infrastructure companies

Onehouse is one of 50 Data Infrastructure companies profiled in the Kustiq DataAI directory, which holds 242 DataAI companies in total. Every number below is computed from those profiles.

Onehouse sits in the 51-200 headcount band. 40% of the 40 segment peers with a known team size are smaller. 18% of those peers share the same band.

The most common tech detections across the 16 peers with a visible stack are Cloudflare (56%), Vercel (31%), and Next.js (31%). Onehouse lists none of them.

Among the 22 segment companies with disclosed funding, Seed is the most common stage (18%). Onehouse is at Series B.

The median founding year across 13 peers with a known founding date is 2015.

San Francisco is the most common HQ city in this segment, home to 20% of the 10 peers with a known location.

Benchmarks are recomputed from live directory data, so they move as profiles refresh. Counts cover Kustiq-profiled companies, not the whole market.

How Kustiq built this profile

How this profile was built

  • Live web rendering via Browserless headless Chrome, not a stale cached scrape.
  • Search intelligence via Serper API across the company site, LinkedIn, press, and GitHub.
  • Claude only picks the buckets. It never decides facts.
  • 12-factor churn engine. Deterministic score, zero LLM at scoring time.
  • SMTP RCPT TO handshake on every contact, at delivery time on full profiles (paid plan).

This profile was built from 1 rendered page of onehouse.ai and search coverage across the live web on .

Read the full methodology in our LLM-readable reference or compare against the deterministic-vs-AI framework.

Frequently asked questions

How many employees does Onehouse have?
Onehouse has 51-200 employees, based on public sources read at the last profile run. That makes it larger than 40% of the 40 profiled Data Infrastructure peers with a known team size.
What industry is Onehouse in?
Onehouse is a DataAI company in the Data Infrastructure segment.
Who are Onehouse's competitors?
Public sources list Zepl — Company Comparison (2026) as Onehouse competitors. The list comes from live search coverage at the last profile run, not a static database.
Is this profile actually verified, or just generated by AI?
The structured fields come from a hybrid pipeline. Facts (location, employee range, funding, tech stack) come from live web rendering plus Serper search across the company site, LinkedIn, press, and GitHub. Claude only picks the buckets: vertical, segment, growth signal. It never decides facts. Contact emails on full profiles pass an SMTP RCPT TO handshake at delivery time.
How is this different from a contact database?
Kustiq profiles one company at a time, live from the web when you ask. Tools like Apollo and ZoomInfo rent access to a 50M+ row pool that ages every quarter. Different shape, different price, and the freshness story is the opposite.
What does "track this profile" do?
Tracking saves Onehouse to your free dashboard so you can re-run the full pipeline on it anytime. Free with a signed-in account: 3 profiles a week, no card.
Can the profiled company remove this page?
Any company in the Kustiq directory can request removal at /trust#removal. Removed profiles return 410 Gone and stay out of search.
How fresh is the data?
Onehouse was last verified 4 months ago. The data refreshes when anyone re-runs the profile (the Re-run now button above does exactly that), and we run the SMTP handshake on contacts when you ask for them, not when we cached the row. The freshness card above the profile shows the exact relative date for the current visit.
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