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← Companies
Datarails
Fintech / FP&A250+Tel Aviv, Israel / New York, USAFounded 2015
About Datarails
Datarails builds an AI-powered FP&A platform that lets finance teams automate reporting, forecasting and analysis while keeping their spreadsheet models.
People & hiring
Company scale, with the denominator visible
Employee figures and vacancy signals describe different things. Each chart names its scope and observation period.
No sourced employee headcount or technical-staff share is available for this company yet. Vacancy counts below are never used as employee estimates.
ApplyDjinn hiring evidence · current 30-day window
Explore these jobs →Current open roles
5+1
Change versus 2026-10-07.
Technical open roles
120%
Classified from the same current vacancies. This is a hiring mix, not the employee mix.
Live vacancy evidence
Technology coverage at Datarails
Coverage always uses all 5 active roles as the denominator. Scope only changes which requirement signals count.
- Active roles
- 5
- Technologies
- 16
- Hard mentions
- 3
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- 33%
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Curated company stack
Company-level metadata, kept separate from live vacancy requirements.
AIDataPythonReactCloudSecurity
Perks & Benefits
✓Finance innovation
✓Hybrid work
✓Global teams
✓Benefits
Company Details
Industry
Fintech / FP&A
Company size
250+
Headquarters
Tel Aviv, Israel / New York, USA
Founded
2015
Domain
datarails.com
Rating
—
Open roles
5
Technical roles
1 of 5
Observed hiring change
+4 roles
Hiring and market history
Daily vacancy snapshots show this company’s observed hiring; no standalone public ticker is assigned.
Open roles
Vacancy history
Current role mix
1 technical · 4 other
20% of currently observed roles are technical.
5 open positions at Datarails
Showing the latest 0 here.
Employee perspectives
Reviews of Datarails
Search Google for employees’ reviews on Glassdoor. ApplyDjinn does not copy review text.
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Company monitor
Published about Datarails
Official updates and independent stories that name Datarails, with dates and source attribution. Each preview opens here first.
8 verified updatesOfficial feed monitored
View news and attention signals for Datarails →Official · datarails.com
Finance Teams Now Spend a Quarter of Their Week Fact-Checking AI, New Datarails Survey Finds
Study also finds that fears of AI-driven layoffs have not materialized, while vast majority of CFOs do not trust AI to produce board-ready materials New York, October 6, 2026 – With every CFO now using AI as standard, finance teams are spending over a quarter of their working week (26%) verifying or correcting output from… The post Finance Teams Now Spend a
Open story →Official · datarails.com
What is the Semantic Layer?
This piece answers the question about a critical component of the FinanceOS® architecture: the semantic layer. It gives AI tools the business context and metric definitions they need to answer finance questions correctly.A finance operating system is a governed data layer that consolidates financial and operational data from across an organization, applies c
Open story →Official · datarails.com
The Best Data Analysis Tools in Excel for Finance Teams in 2026
Your finance team already knows how to build models in Excel with working formulas and PivotTables. The problem is everything that happens before the analysis starts. Things like pulling exports from the ERP, reconciling numbers across six departmental spreadsheets, and rebuilding the report that broke when someone saved over the master file. According to th
Open story →Official · datarails.com
Can You Keep Excel and Still Get Real FP&A Automation?
Finance teams can keep working in Excel and still get real FP&A automation, because the automation that matters happens around the spreadsheet, not inside it. Real automation means eliminating manual copy-paste between the ERP, CRM, payroll system, and a dozen department budgets, not swapping out the modeling tool analysts have used for decades. “E
Open story →Official · datarails.com
Can I use ChatGPT or Claude to do my financial data transformation?
An analyst pastes a trial balance into Claude on a Tuesday afternoon and has a variance pack by the end of the day. Nobody approved a pilot. It happened, it was useful enough to happen again the following month, and the second output came back in a different shape to the first. That gap, between… The post Can I use ChatGPT or Claude to do my financial
Open story →Official · datarails.com
Can I build my own MCP server instead of buying a vendor connector?
Someone on the engineering side points out that the protocol is open and the specification is short, and both of those things are true. A prototype connecting an AI client to a database is a small piece of work. The cost lands later, in the parts nobody scoped: the mapping, the permissions, the schema change… The post Can I build my own MCP server inst
Open story →Official · datarails.com
Do I need AI built into my FP&A tool, or can I use a general AI tool across everything?
Sit through four vendor demos in a week and the AI section of each blurs into the next, everyone’s pitching some version of embedded AI vs. bring-your-own AI without naming it that. Everyone has commentary generation, anomaly flags, and a chat box over the data. The slides are close to interchangeable. What is not interchangeable… The post Do I n
Open story →Official · datarails.com
What can AI actually do in FP&A right now?
Most writing on AI in FP&A is either a demo video or a forecast about 2030, and neither helps a controller deciding what to try this quarter. The narrower question is what finance teams are running in production now, where it holds up under review, and where it still needs a person in the loop.… The post What can AI actually do in FP&A right n
Open story →