Company profile

Datarails Tech Stack

Excel-native FP&A, reporting and close platform for finance teams

Software Development New York 201–500 employees Privately Held

Datarails builds a finance platform that keeps users in Excel while consolidating financial and operational data for planning, reporting, close and cash management. Its stack pairs Python, Django, FastAPI and Temporal/Airflow/Dagster orchestration with a broad multi-model AI layer (OpenAI, Anthropic, Gemini, Mistral, Groq) plus MCP, signaling a deliberate model-agnostic AI strategy. Accelerating, sales-led hiring centers on add-on modules and private equity partnerships.

Tech Stack 49 technologies

Core StackPower Query Salesforce HubSpot Python Django Figma Jira Zapier Canva Apache Airflow Dagster Celery Temporal FastAPI Kubernetes Node.js TypeScript OpenAI Anthropic Angular Okta Intune Confluence dbt Linear MCP Google Gemini Mistral Groq Notion+16 more

What Datarails Is BuildingChallenges and projects from their job posts

◆Challenges

Manual, fragmented financial data consolidation
Heavy reliance on Excel spreadsheets
Inefficient financial reporting
Driving customer adoption of AI solutions
Expanding and scaling private equity partnerships

▲Active Projects

Client Datarails implementations
Add-on module implementation and engagement playbooks
Automated financial modeling workflow
Driving adoption of new products
Prototypes for immediate customer needs
Data visualization and analytics initiatives

Hiring Activity

Accelerating10 roles · 5 in 30d

Department

Sales

Engineering

Finance

Product

Seniority

Senior

Mid

Manager

Junior

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About Datarails

Datarails is a privately held software company headquartered in New York with 201–500 employees. It sells a finance operating system to finance teams and CFO offices, unifying financial and operational data into a governed layer that AI tools can draw on. The product works inside Excel and covers FP&A, reporting, month-end close and cash management. The company hires in the United States and Israel across sales, engineering, finance and product.

HeadquartersNew York

Company Size201–500 employees

Hiring MarketsUnited States, Israel

Frequently Asked Questions

What tech stack does Datarails use?

Datarails uses Python, Django, FastAPI, Node.js, TypeScript and Angular, with Kubernetes, Celery, Temporal, Airflow, Dagster and dbt, plus Salesforce and HubSpot for go-to-market.

Does Datarails use AI models like OpenAI or Anthropic?

Yes. Its stack includes OpenAI, Anthropic, Google Gemini, Mistral and Groq, along with MCP, indicating support for multiple AI model providers.

Where does Datarails hire?

Datarails is headquartered in New York and hires in the United States and Israel, with hiring weighted toward sales alongside engineering, finance and product roles.

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How this profile is built

Datarails's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.