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Speakeasy

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www.speakeasy.com

Enterprise-grade platform for secure AI governance and observability across an organization.

Overview

Speakeasy is a technology company that provides an enterprise-grade governance and security platform to scale AI across organizations. The company started in developer tooling and has evolved into a central control layer that helps enterprises securely connect AI agents to internal systems, enforce access controls and policies, centralize monitoring, and maintain an auditable log of AI activities. The audience includes security, IT, product, and engineering teams seeking to enable safe AI adoption at scale.

Mission statement

Give enterprises the control to scale AI securely.

What would you like to do?
Analyze as a competitorCompare positioning, offers and segments against your own company.Evaluate as a vendorScore Speakeasy against alternatives on your own criteria.Claim this company's AI agentWork at Speakeasy? Improve your AI agent so it ranks higher when people ask AI about you.How AI sees this companyThe metadata, structured data and Markdown that assistants read.

What we offer

AI Control Plane

Centralize and govern AI usage across your organization effortlessly.

www.speakeasy.com/product/ai-control-plane

API Platform

Streamline API development and integration for enhanced AI control and governance.

app.speakeasy.com/

Who do we serve

Global Enterprise AI Governance And Security

Global enterprises scaling AI with centralized governance.

TechnologyFinancial ServicesHealthcareManufacturing

Platform Teams In Large Enterprises

Technology teams building AI-enabled products require governance and security at scale.

TechnologySoftwareCloud Services

Regulated Industry Compliance Leaders

Compliance and risk leaders in finance and healthcare ensuring auditable AI governance.

Financial ServicesHealthcare

Mid-Market Enterprises Scaling AI

Mid-market firms expanding AI use require secure, scalable governance.

TechnologyManufacturingServices

Market segments

Market size by segment

Growth potential (CAGR)

AI governance and compliance

2.2 Billion USD30% CAGR

Frameworks and controls to govern AI assets, manage model risk, enforce policies, ensure explainability and auditability, and support regulatory compliance.

AI agent identity governance

1.6 Billion USD20.9% CAGR

Governance and access controls for machine and AI agent identities, including agent provisioning, cross-application access policies, and auditability for autonomous agents.

AI agent orchestration

0.622 Billion USD42.5% CAGR

Orchestration and composition of domain-specific AI agents, connectors, and automated workflows to create agentic experiences across enterprise functions.

Agent lifecycle management

0.8 Billion USD30% CAGR

Platform and developer capabilities to design, version, test, and deploy AI agents, including git-native workflows, reusable agent templates, and rapid deployment pipelines.

More information about our offering

AI Control Plane

A unified control plane to safely scale AI across the organization. It centralizes governance, security, distribution, and observability of AI agents, MCP servers, and skills, enabling permissioned identity for agent actions, real-time security enforcement, centralized distribution of MCPs and skills, and end-to-end visibility of usage and costs.

  • Govern Actions
    Ensure every agent acts within defined permissions granted by the organization's identity provider.
  • Empower Teams With Approved Servers
    Make every approved MCP server available to all teams through a centralized catalog, ensuring governance and efficiency.
  • Simplify Access With One Gateway
    Provide a single point of entry for all AI tools, streamlining the connection process for users.
  • Prevent Leaks
    Automatically detect and protect sensitive information from being exposed during agent interactions.
  • Ensure Transparency And Compliance
    Maintain a detailed history of all interactions with MCP servers, crucial for audits and governance.
  • Monitor Usage
    Gain insights into tool engagement and costs associated with AI usage to facilitate budget management.
  • Centralize Management
    Streamline the integration and management of multiple MCP servers and AI skills for your organization.
  • Mitigate Risks
    Identify and block actions by agents that could violate security policies or lead to data breach scenarios.
  • Control Access At The Tool Level
    Customize access permissions for users and tools to enhance security and manageability of AI integrations.
  • Identify Shadow AI
    Uncover unapproved AI tools and operations within the organization to strengthen governance.
  • Streamline User Onboarding
    Leverage existing identity provider systems for easy and secure user access to AI tools.
  • Monitor Resource Utilization
    Provide insights into usage trends and resource consumption for better planning and budgeting.
  • Customize User Guidance
    Empower administrators to update instructions, ensuring relevant and clear guidance for users.

API Platform

A developer-facing suite that supports building and integrating the AI control plane, including idiomatic SDKs, OpenAPI-based Terraform providers, a CLI, and MCP documentation to enable seamless developer workflows.

  • Rapid Development with SDKs
    Provides idiomatic, type-safe SDKs that simplify development processes, enabling faster integration with various programming languages.
  • Manage APIs Directly from Terminal
    The CLI allows developers to manage and interact with APIs directly from their terminal, streamlining workflows and enhancing efficiency.
  • Infrastructure as Code Support
    Integrates Terraform providers to facilitate infrastructure management, allowing users to define and provision resources through code.
  • Agent-Friendly Documentation
    Comprehensive documentation designed for agents, ensuring they can effectively utilize and understand platform functionalities.
  • Access Comprehensive Resource Library
    Offers a resource library containing reference architecture and definitions that help teams streamline the understanding of the control plane.

References

Methodology and sourcing behind the market figures shown above.

AI governance and compliance

I used the provided market reports. Future Market Insights explicitly values the enterprise AI governance and compliance market at USD 2.20B in 2025 and served as the primary market-size source. Reported CAGRs vary (15.8%–51%); I selected a 30% CAGR as a conservative consensus estimate (median of cited forecasts) supported directly by Forrester and consistent with other sources showing high growth potential.

AI agent identity governance

Primary source: Globe Market Research reports the U.S. AI agent identity/identity-management market at USD 0.5B in 2026 with a 2026–2035 CAGR of 20.9%. I extrapolated to a 2026 global market by assuming the U.S. represents roughly 25–35% of the global market for this cybersecurity niche (0.5B / ~0.30 ≈ 1.6B). I used broader AI-agents market growth (MarketsandMarkets) and Globe’s larger AI identity/security forecast to confirm high growth potential for agent identity governance, and therefore applied Globe’s 20.9% CAGR as the growth estimate for this segment.

AI agent orchestration

Primary estimate uses TrendX Insights’ AI Agent Orchestration 2025 base (USD 622M) and its 42.5% CAGR. Cross-checked with SNSInsider (broader AI orchestration) and MarketsandMarkets (AI agents) for context and bounds.

Agent lifecycle management

Estimate based on available market reports and sector signals. MarketsandMarkets projects the broader AI Agents market at USD 7.84B (2025) growing at 46.3% CAGR; traditional Application Lifecycle Management (ALM) was USD 4.77B (2025) with ~10.9% CAGR (Fortune Business Insights). Agent lifecycle management is a narrower, tooling/governance subsegment of the AI agents ecosystem (versioning, testing, deployment, governance). Assuming this subsegment initially captures roughly 8–12% of the 2025 AI Agents market (~0.78B ≈ 0.8B), and given strong adoption signals (IBM: expected 38% increase in deployed agents by 2027) and high growth in adjacent contact-center agent markets (~24.3% CAGR), a plausible near-to-mid-term CAGR for agent lifecycle management tools is ~30% (between ALM and AI Agents growth rates, weighted toward the faster AI adoption trend).

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