o11
Builds and maintains a data warehouse that integrates applications and provides governed data access across enterprises.
≈ 425visits/mo
Emerging · estimate, read 2026-09-19
- For
- Financial services teams managing deal workflows and firm context across applications
- Price
- Contact salespricing page, read 2026-09-20
- Activity
- Actively maintainednothing dated on the site
- Company
- founding year not on record
- Turn firm documents and CRM data into permission-aware memory layer
- Apply firm context across investment banking deal workflows
- Create and execute tasks within Google Workspace with firm context
- #2
Rippling
Manages HR, IT, payroll, and finance for global workforces on a unified platform with AI automation.
704knot readContact sales2016 - #3
Ramp
Issues corporate cards and automates expense reports, invoice processing, and accounting entries across spend categories.
738knot readFrom $15/user/mo2019 - #5
AngelList
Software platform for fund administration, capital calls, distributions, and investor management in private markets.
74.2kActive—2010 - #6
Digits
Automates bookkeeping, month-end close, bill pay, and invoicing with real-time transaction categorization.
48.4knot readFrom $65/mo - #8
Numeric
Automates month-end close, bank reconciliation, and financial reporting for accounting teams.
78.7knot readFrom $30/user/mo - #16
DualEntry
Cloud accounting platform automating general ledger, accounts payable and receivable, and financial close processes.
11.3kActiveContact sales2024
What is o11?
Builds and maintains a data warehouse that integrates applications and provides governed data access across enterprises.
Who is o11 for?
Financial services teams managing deal workflows and firm context across applications
How much does o11 cost?
o11 does not publish prices; its pricing page says to contact sales (2026-09-20).
Do people use o11?
Emerging: ≈ 425 visits a month · estimate, 2026-09.
Is o11 still maintained?
Actively maintained.
What are alternatives to o11?
In Finance, by use: Rippling, Ramp, AngelList, Digits, Numeric, DualEntry.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one row at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.