




"Having one set of data that our CFO, our VP, or even our CEO can toggle and view in any way is really important given the number of dimensions we look at our business with."

Carta (formerly eShares, Inc.), was founded in 2012 and is a San Francisco, California-based technology company that helps customers manage their cap tables, valuations, investments, and equity plans. The company serves customers in Latin America, Europe and Asia, with offices in Brazil and Singapore.
Carta has more than doubled in size over the last two years and now counts over 1,800 employees. The company also doubled in size and revenue.
As of March 2021, the company was reportedly tracking over $800 billion in company equity, and had facilitated nearly $1 billion in secondary-market sales. Its customers include Intercom, Coinbase, Classpass, Tilray, and Affirm.
Carta's rapid growth created the need for a robust business planning solution. The company tried numerous solutions from spreadsheets to other known EPM software.
Constant changes and reorganizations meant that they were not able to model what they wanted with their existing solution and had to revert to spreadsheets for planning and analysis.“We weren't able to cut data to look at the business in the way we truly needed, so we reverted back to Excel."
Carta wanted to scale the company with enterprise-grade solutions by investing in its team and infrastructure. The company wanted a planning tool agile enough to pivot data to extract maximum insight.
Carta also wanted to be able to plan from both an operational and financial perspective. The company’s current structure meant managing two different P&Ls. Leveraging Pigment’s capabilities, driving financial and operational plans in a connected way, means real-time analytics between the two. Driving plans from the top down, bottom up with visibility to variance and collaboration between all stakeholders.
Carta's core team didn't want to pick between externally reporting P&L and having a more operational view of their business. Also, the company valued the partnership with the Pigment internal team over a third party to help with implementation as they experienced with their former EPM implementation.
Carta has several business units, many products and services all spanning over 28,000 customers. This ranges from investor services to Carta X, which makes them a transaction-based company with large amounts of customer data to handle and to measure against.
Carta’s main pain point was being unable to look at the business in a customized way. The company structure doesn’t always map teams perfectly to a P&L and granularity and data segmentation were pressing needs.
Carta needed a planning solution that would offer meaningful impact and a custom set of measures to evaluate success.
Based on the need for agility and flexibility, Carta chose Pigment.
One of Carta's critical missions before implementation was to win team buy-in for transitioning out of spreadsheets.
The company started by training five out of eight team members on how to use Pigment. One highly technical team member immediately became a Pigment power user. The remaining team members quickly learned how to model in Pigment despite having no prior SQL experience.
Pigment’s modern interface and supportive community helped get all team members involved and engaged. The team empowered junior employees to dream up new ideas, and they went on to create templates automating reports for execs and business partners so they would never have to repeat any manual work again.
Together with Pigment expert modelers, the team started building two workstreams: one for the FP&A team and one for the Revenue team. They uploaded all customer data and rebuilt their entire suite of ARR metrics.
By splitting the work into two workstreams, the company achieved more than ever before. In less than two months, Carta had rebuilt complete financial models in Pigment and successfully trained the team.
After mastering implementation and training, Carta's main focus was consolidation of all existing data.
The company used the Google Sheets connector to sync all vendor data, to directly import data fed into monthly forecast calculations.
At present, all actuals are synced from NetSuite. To make things even easier, the team has saved searches in NetSuite to auto-populate vendor actuals and exchange rates. Additionally, all workforce data is pulled from Workday to feed the Workforce Planning application used by their people team and managers.
The team has built a board to review data integrity and ensure that they’re loading the data and mapping it correctly.
This expanded quickly from P&L reporting and budgeting to boards for their ARR metrics and workforce planning, as the team grew extremely eager to use Pigment
Carta now has access to the P&L per country, allowing teams to slice and dice data in any way they want. Enhanced benefits include superior version control and multiple screenshots of data.
Finally, the sleek and functional data visualization has convinced Carta to designate Pigment the BI tool of choice for all financial metrics, replacing Looker as the most accurate view of the business.
To report on ARR metrics, teams were able to pull 30,000 rows of customers data going back to 2015.
On the workforce planning use case, Carta has set up efficient workflows to give teams access to current and near term headcount, with the ability to review headcount (FTE level) and approve salary envelopes every quarter. By having all data updated in real-time from Workday, the company is able to run continuous planning with a 12-month rolling forecast.
By using Pigment, Carta has been able to:
Carta is continuing to build on its Pigment foundation by leveraging both the Analyst Agent and the Modeler Agent, accelerating insight, expanding access to modeling, and elevating the role of Finance across the business.
With the Analyst Agent, the team has transformed how it delivers insights to leadership. Each week, Finance produces ARR summary reports outlining the main drivers of growth and flagging areas of divergence versus plan. The Analyst Agent now produces the first draft of these reports, saving approximately two hours per team member every week while enabling faster turnaround and more frequent analysis.
For departments or cost centers requiring closer attention, the team also runs deep dives — for example, when Marketing results fluctuate significantly versus expectations. These analyses previously required 10–15 hours across the team. Today, most of that time is saved thanks to the Analyst Agent, allowing Finance to go deeper without adding overhead.
“By taking away the often repetitive grunt work, our team is free to focus on strategy and spend more time driving impact rather than just compiling data. A task that used to take three hours can now be done in just 30 minutes, all the while allowing us to go deeper in our analyses, run them more frequently, and uncover insights that simply weren’t possible before.”
Anthony Lewis, Strategic Finance Manager
Beyond time savings, the impact is one of scale and role evolution. With manual reporting work reduced, the team can extend analyses to additional departments — such as running headcount variance analyses for HR Business Partners — unlocking visibility that wasn’t previously feasible. Analysts are empowered to think more strategically, operating less as data compilers and more as true business partners.
At the same time, the Modeler Agent is transforming how models are built and who can build them.
“The Modeler Agent is extremely powerful and is something I’m using every day. We went from something taking a week to build down to two days, because the Modeler Agent cuts trial and error, rework, and back and forth by laying out a clear plan and guiding execution. It also makes modeling accessible to non-technical users by explaining what it’s doing and why, so they can build confidently, troubleshoot later, and keep work moving. The result is more velocity and compounding capability across the whole team.”
Montaek Kohli, Strategic Finance Manager
Pigment’s AI Agents are helping Carta’s finance team operate with greater speed, autonomy, and confidence - empowering more team members to think and act like “mini CFOs” while ensuring the models underpinning their decisions are transparent, scalable, and built for long-term growth.