altshare introduces AI self-onboarding to make legal…
For startups, a cap table is supposed to answer a relatively straightforward question: who owns what? But as companies raise new rounds, issue shares, grant employees equity, and layer on investor preferences, that answer can become difficult to track and even harder to keep accurate.
The problem is that the data entered into equity management software does not always reflect the legal documents behind it. Ownership details may be transferred manually from incorporation documents, financing agreements, or spreadsheets, creating opportunities for discrepancies between what was legally agreed and what ultimately appears on the cap table
The same problem exists across nearly every industry. Organizations depend on digital systems to manage patient records, financial statements, inventory, employee information, and other critical data. When those systems fall out of sync with the documents or records behind them, the consequences can go well beyond an administrative headache.
As software takes on a larger role in day-to-day operations, maintaining the accuracy of digital records is becoming just as important as digitizing them in the first place. For companies tracking equity, that means ensuring the cap table keeps pace with every financing round, option grant, and other change that can affect who owns what. altshare, an AI-powered Equity Management Intelligence Platform, is addressing this gap with a new AI-native onboarding system that reads a company’s legal documents and automatically translates the information within them into structured equity data.
In equity management, this is especially challenging because investment agreements can span hundreds of pages, with critical terms affecting ownership and future payouts. Traditionally, transferring those terms into an equity management system has required manual review and data entry, creating room for typos, duplicate entries, or missed information. As a company raises additional rounds or prepares for a transaction, even small mistakes can affect valuations, investor returns, and decisions about who is entitled to what.
altshare says its technology can read those agreements, identify the relevant provisions and assign the information to the appropriate stakeholders automatically. Once the documents are uploaded, the goal is for the data represented in the platform to reflect the company’s legal records, creating a single source of truth that can be shared by founders, CFOs, lawyers and investors.
Ronen Solomon, CEO and Founder of altshare said, “By building equity records directly from a company’s legal documents and keeping them up to date as the company grows, teams can work from a live view of ownership rather than waiting days for changes to be reflected. This new suite is an important step toward breaking down the barriers that have made equity management more time-consuming and complex than it should be, using AI to help teams spend less time managing processes and more time creating value.”
The company is applying the same approach to onboarding. Setting up an equity management platform has traditionally involved demos, introductory calls, and back-and-forth with customer support, often stretching the process over weeks. According to altshare, the process can reduce onboarding from weeks to minutes. The update also adds tools for equity plan administration, funding and waterfall modeling, 409A valuations, ASC 718, HRIS integrations, stakeholder reporting, and automated compliance controls.
As more business processes become automated, the challenge will be ensuring that speed does not come at the expense of accuracy. AI can handle more of the work involved in setting up and maintaining digital records, but its value depends on whether companies can trust the information it produces. The next phase of digitization may be less about moving information online and more about ensuring that information remains accurate as businesses inevitably change.