DealCycl launches cap table platform with agent-native AI and published pricing

By AI, Created 10:02 AM UTC, May 20, 2026, /AGP/ – DealCycl has launched general availability of DealCycl Company, a cap table and corporate governance platform for private companies, with four published pricing tiers, no waitlist and no per-stakeholder fees. The company is also pitching contractual data sovereignty and one-click migration from Carta as it targets startups worried about AI access and cap table privacy.

Why it matters: - DealCycl is aiming at two pain points in private-company cap table software: opaque pricing and trust over how sensitive equity data is used. - The launch adds an agent-native architecture on day one, which could let companies connect AI tools directly to cap table workflows without custom integration work. - The company is also making a legal promise about customer data use, a direct response to concerns raised by the January 2024 Carta data incident.

What happened: - DealCycl, Inc. announced general availability of DealCycl Company, its cap table management and corporate governance platform for private companies. - The platform is available immediately across four tiers: Free, Starter, Growth and Scale. - The launch includes no waitlist, no sales calls and no per-stakeholder pricing. - The product is available at dealcycl.com/captable. - DealCycl said the platform is the first in the cap table category to ship a fully agent-native architecture on day one.

The details: - Every paid plan includes the full DealCycl MCP Server and Claude Skill. - The MCP Server exposes the same capabilities and data model that power the user interface to AI agents through Anthropic’s open Model Context Protocol. - DealCycl says that means customers can connect their own agents, auditors’ agents and internal finance tools to their tenant with a configuration change instead of an integration project. - Chris Caldwell, COO and co-founder, said anything a person can do in the DealCycl UI, an agent can do through the MCP Server. - Published pricing is available on day one. - Free costs $0 per year and includes 1 Full User and 25 Stakeholders. - Starter costs $1,999 per year and includes 3 Full Users and unlimited stakeholders. - Growth costs $4,999 per year and includes 5 Full Users and unlimited stakeholders. - Scale costs $9,999 per year and includes 10 Full Users and unlimited stakeholders. - DealCycl positions Starter for post-seed startups, Growth for Series A and B companies and Scale for Series C+ and multi-entity companies. - Every paid plan includes a 3-year price lock, one-click cancellation, full data export, a 30-day money-back guarantee and the contractual data sovereignty commitment. - DealCycl supports one-click import from Carta on every plan, including the Free tier. - Prioritized white-glove migration assistance is available during the launch window for customers moving from per-stakeholder cap table products.

Between the lines: - DealCycl is turning a product launch into a trust message, especially for founders who are wary of vendors handling investor and cap table data. - The contractual sovereignty language goes beyond marketing claims and is designed to be enforceable in customer agreements. - Published pricing and no per-stakeholder fees put DealCycl in sharp contrast with legacy cap table models that often scale costs with stakeholder count. - The company is also trying to make AI a built-in feature rather than an enterprise add-on, which could appeal to finance and governance teams seeking automation without new procurement friction.

What’s next: - DealCycl says every product it ships from here on out will inherit agent-native parity by default. - The launch window migration support suggests the company is looking to convert customers from existing cap table providers right away. - DealCycl will likely be judged on whether its data sovereignty promise, migration flow and AI access hold up in day-to-day private-market operations.

The bottom line: - DealCycl is betting that cap table software buyers will pay for transparent pricing, open AI access and a legally binding promise not to monetize their equity data.