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Palma
QUIET
#6265 Radar 26

Governs AI agent tool calls, managing access, policies, and costs for enterprises.

Track this product and keep its revenue milestones in your Radar.
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Product memo

Palma provides an enterprise governance layer for AI agents interacting with core systems via MCP. It manages tool access, enforces policies, tracks costs, and audits every agent's tool call. This ensures accuracy, accountability, and compliance for both human and autonomous agent interactions within complex enterprise environments.

For who

Enterprises managing AI agents and MCP systems

Solves what

Governance, control, and cost management for AI agent tool calls.

  • AI agent governance
  • MCP tool access control
  • Audit trails and cost tracking
"

In their own words

Trust Your Agents to Execute.

The enterprise layer that unlocks MCP at scale.

Manage, govern, and audit every tool call.

Commercial cues

Pricing snapshot contact only pricing

Model

contact only

Free tier

No

Trial

No

No public pricing tiers captured.

Pricing Strategy

Palma uses custom pricing for its Enterprise tier, reflecting the specialized governance and audit needs of large organizations.

Key Tactics
  • No public pricing suggests a sales-led, high-touch go-to-market motion.
  • Visible limits define plan boundaries.
  • Public prices are not listed.

Operator context

Founded

Apr 2026

Platform

Web app

Audience

Developers

Tech stack

SvelteSvelteKitHubSpot

Builder Strategy

Strategy Type
Niche Specialist
Stage
Vc Growth
Effort
Small Team
About Palma Expand

Palma delivers a critical governance layer for enterprises deploying AI agents that interact with core systems via MCP. It addresses the complex challenges of managing tool access, enforcing organizational policies, and tracking operational costs associated with AI agent activity.

By providing audit trails for every agent tool call, Palma ensures accountability and compliance. This specialized positioning helps organizations maintain control over autonomous and human-assisted AI interactions, mitigating risks and optimizing resource use in sophisticated AI deployments.