The “PR/FAQ” documents are fictitious press releases. See details:
This document outlines the vision, problem, and solution
behind the founding of Data I Am.
It is intended to be publicly shared to explain what we’re
building and why it matters.
Inspired by Jeff Bezos’ practice at Amazon, this is the
fictitious press release we wrote in June 2024—
before writing a single line of code.
The product became publicly available in February 2025.
📣 Press Release
Data I Am Launches AI-Powered Data Loader for Salesforce
San Francisco, CA — February 24, 2025 — Today marks the launch of Data I Am, an AI-powered data loader purpose-built for Salesforce. Designed for Salesforce Admins and data professionals alike, Data I Am brings AI intelligence to the data loading process—automatically detecting common issues, suggesting intelligent fixes, and ensuring clean data is loaded into Salesforce.
Salesforce Admins have long been frustrated that data loaders are just that—loaders. They’re forced to manually fix broken or messy data, often in spreadsheets, before even attempting to import it. Data I Am reimagines this workflow by providing an intelligent, supportive interface that streamlines both data cleanup and loading.
“We’re reimagining the data loading experience from the ground up,” said Zeb Mahmood, co-founder of Data I Am. “No more manual cleanup. Just upload your messy CSV—and let our AI fix and load it for you.”
Zeb brings over nine years of product leadership experience at Salesforce and two decades of building data platform products. His deep understanding of enterprise applications and integration pain points inspired the creation of Data I Am.
Customer feedback has already been enthusiastic.
“I used to spend hours cleaning data in Excel just to get it ready for a Salesforce import. Now I just toss the CSV into Data I Am, and it does the fixing for me. What used to be a painful chore is now a quick, confident step,” said Jessica Lin, Salesforce Admin at AcmeTech.
“Having clean, accurate data in Salesforce is a game-changer for our pipeline health and forecasting accuracy. Data I Am gives me confidence in the numbers we’re reporting upstream,” said Raj Mehta, CRO at Cresthill Systems. “Once the data is in Salesforce, it’s 100x more expensive to clean. Data I Am is our gatekeeper for good data!”
This ability to save hours of manual cleanup work is where Data I Am delivers its biggest value. Admins can now focus on delivering business value instead of wrangling spreadsheets and VLOOKUPs.
Try Data I Am for free at https://dataiam.com—no credit card required. You can sign in using your Salesforce credentials (SSO supported) and get started in minutes.
Key Features
Here’s what sets Data I Am apart from traditional data loaders:
- Auto-detects target object and fields based on your CSV—even if headers are missing or incorrect
- Fixes malformed CSVs, like addresses crammed into a single column
- Suggests intelligent fixes for invalid picklist values, incorrect formats, and more
- Fetches missing Record IDs using match fields—no need for Excel VLOOKUPs
- Normalizes values based on field type (e.g., for Revenue field, $100M → 100000000.00)
- Lets you preview fixes before loading into Salesforce
- Supports SSO login with your Salesforce ID—no extra logins to manage
- Free to use, with no credit card required
FAQ
What is Data I Am?
Data I Am is an AI-powered data loader purpose-built for Salesforce. Unlike other data loaders, it helps users fix the data before loading—no engineering skills required.
Who is it for?
Data I Am is designed for Salesforce Admins and non-engineering users who regularly deal with data import/export tasks, as well as for data professionals who want to save time on cleanup. Our primary persona is “Alex Smith,” a Salesforce Admin who juggles multiple data tasks without writing code.
Why are you building this?
Because current tools are just loaders. But in reality, every CSV is messy in its own way, and the Admin is often left to clean up that mess before loading the data. We believe the loading experience should have fixing of data built-in; it should be intelligent, contextual, and supportive—just like a good assistant. And more importantly, it should save users hours of spreadsheet wrangling and guesswork every time they prepare a file.
Fixing data before it enters Salesforce is not just more efficient—it’s essential. Once bad data is loaded, the cost to detect and fix it skyrockets. Broken flows, inaccurate dashboards, failed automations, and degraded user trust all stem from poor data hygiene. In the age of AI, accurate and timely data is everything—because AI is only as good as the data it learns from and operates on.
What’s next?
Salesforce is the first ecosystem; we’ll be building AI-powered data loaders for ServiceNow, NetSuite, Workday, and many more.
To learn more or sign up: https://dataiam.com
