OneSchema logo — The AI Cowork for big data.

OneSchema

The AI Cowork for big data.

Founded 2021 United States San Francisco, United States 16 employees Seed Total: $6.43M Big Data, Productivity +1

General Information

Company Name OneSchema
Founded Year 2021
Location United States San Francisco, United States
Employees 16
Industries Big Data, Productivity, SaaS
Funding Stage Seed
Business Model B2B, SaaS, Platform
Revenue Model Subscription, Usage Based, Tiered Pricing
Social

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About OneSchema

OneSchema is based in San Francisco, United States, and provides AI-powered big data solutions specifically designed for enhancing productivity across various industries. The company enables teams to clean and validate large-scale datasets securely, maintaining data privacy within users' networks.

Founded in 2021, OneSchema offers services such as AI Cowork for Enterprise Data and Data Validation and Cleaning, targeting system integrators and various industries including healthcare, manufacturing, and finance. The company operates on a B2B SaaS platform with a revenue model encompassing subscription, usage-based, and tiered pricing, providing flexible options for businesses to integrate AI capabilities into their data operations securely.

Business keywords: AI Cowork, Private Cloud Solutions, Big Data Management, Data Cleaning, Data Validation, Self-hosting, AWS Integration, Azure Integration, GCP Integration, Role-based Access Control, System Integration, CSV Data Error Detection, Product Development Acceleration, Customer Data Correction, Spreadsheet Import Automation

Services & Products

AI Cowork for Enterprise Data
Filefeeds AI-powered Integrations
Embeddable CSV Importer
AI Agents for Data Operations
Data Ingestion and Transformation
Data Validation and Cleaning
Data Importing into Systems

Target Customers

System Integrators Healthcare & Life Sciences Companies HR & Benefits Teams Manufacturers Financial Institutions Energy & Utilities Companies CRM and ERP Users

Funding Rounds & Investors (2)

View All
Funding Stage Amount Investors Lead Investors Date
Seed Round $6.30M 10
BoxGroup, Y Combinator +8
16 Nov 2022
Pre Seed Round $125.00K -
31 Aug 2021

OneSchema Alternatives & Competitors

View All Alternatives
OneSchema vs
Cien.ai
Cien.ai United States

Measure What Matters

Seed
18 employees
AI, Analytics
OneSchema vs
Confident LIMS
Confident LIMS United States

The easiest way to test

Series A
12 employees
Analytics, Automation
OneSchema vs
Duco
Duco United Kingdom

We make managing your mission-critical data easy

Venture round
238 employees
Big Data, SaaS

FAQ About OneSchema

The AI Cowork for big data.
OneSchema was founded in 2021.
OneSchema is headquartered in San Francisco, United States.
OneSchema operates in Big Data, Productivity and SaaS. Its work centres on AI Cowork, Private Cloud Solutions, Big Data Management and Data Cleaning. Its customers include System Integrators, Healthcare & Life Sciences Companies and HR & Benefits Teams.
OneSchema has a B2B, SaaS and Platform business model. Its revenue comes from Subscription, Usage Based and Tiered Pricing.
OneSchema has approximately 16 employees.
OneSchema has completed 2 funding rounds, raising a total of $6.43M. The latest funding stage is Seed.
OneSchema offers: AI Cowork for Enterprise Data, Filefeeds AI-powered Integrations, Embeddable CSV Importer, AI Agents for Data Operations, Data Ingestion and Transformation, Data Validation and Cleaning, Data Importing into Systems.
Top alternatives and competitors to OneSchema include Cien.ai, Confident LIMS, Duco, Parabola, IVTREE. These companies operate in related industries and serve comparable markets. You can compare them side by side on Bounce Watch.
OneSchema and Cien.ai are both companies in similar industries. Compare their funding, team size, growth signals, and market position on Bounce Watch to see which one fits your needs.

Source: BounceWatch company record for OneSchema, https://bouncewatch.com/company/oneschema, updated 8 October 2026. When citing, please name BounceWatch and link this page.

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