Credal

Credal, founded in 2022 by Jack Fischer and Ravin Thambapillai (both Palantir alumni), provides a control plane for enterprise AI agents and MCP servers.

Reviewed by 7wData

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Profile

Credal provides a platform to build, govern, and deploy enterprise AI agents that securely connect to internal data and systems.

Credal, founded in 2022 by Jack Fischer and Ravin Thambapillai (both Palantir alumni), provides a control plane for enterprise AI agents and MCP servers. The company emerged from Y Combinator and raised a $4.8 million seed round led by Spark Capital in October 2023. As of mid-2026, Credal's platform allows organizations to build, govern, and deploy AI agents that connect to internal data sources while enforcing enterprise security policies.

The product includes an agent registry, a no-code agent builder, and live run monitoring with full audit trails. Credal integrates with major LLM providers (Anthropic, OpenAI, Google) and enterprise tools (Salesforce, Zendesk, Snowflake, Slack, Box, GitHub). The company's customer base includes Comcast, MongoDB, Wise, Lattice, Checkr, Altana AI, Incident.io, Gecko Robotics, Flatiron Health, Guidewheel, InformData, ButterflyMX, IFRS, AppZen, and Moneyhub.

Credal publishes case studies for Wise, MongoDB, Lattice, Checkr, and Incident.io. The company has not disclosed revenue or headcount publicly. Credal was listed in a February 2026 TechCrunch roundup of 17 US-based AI companies that raised $100M or more in 2026, though the specific round details for Credal were not provided in the available sources. The company competes in the enterprise AI governance space against vendors like Guardrails AI, Arize AI, and legacy API management platforms.

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Who buys this

  • Large enterprises needing to deploy AI agents with security and compliance controls
  • Engineering teams building internal AI tools that access sensitive company data
  • Legal and compliance departments requiring audit trails for AI agent actions
  • Sales and customer success teams using AI for account preparation and renewal workflows
  • IT administrators managing third-party AI agent integrations across the organization

Publicly disclosed clients

  • Comcast
  • MongoDB
  • Wise
  • Lattice
  • Checkr
  • Altana AI
  • Incident.io

Strengths and what to watch

Strengths

  • Founded by Palantir alumni with direct experience in enterprise data security and government-scale deployments
  • YC-backed with a $4.8M seed round from Spark Capital, indicating early institutional validation
  • Published case studies with multiple named enterprise clients (Wise, MongoDB, Lattice, Checkr) demonstrating real-world deployment

Watch for

  • No publicly disclosed revenue, headcount, or valuation figures make it difficult to assess financial health or growth trajectory
  • Competes in a crowded enterprise AI governance space with well-funded rivals (Guardrails AI, Arize AI) and incumbents (Microsoft, Google) offering similar capabilities
  • Relies on third-party LLM providers (Anthropic, OpenAI, Google) for core AI functionality, creating dependency on their pricing, availability, and policy changes

Recent moves

Key Information

Industry
AI Safety & Security
Founded
2022

Frequently Asked Questions

What is Credal and what does it do?

Credal is a platform that helps organizations build, govern, and deploy enterprise AI agents. It securely connects these agents to internal data and systems while enforcing security policies, providing audit trails, and integrating with major LLM providers and enterprise tools.

How does Credal ensure security for enterprise AI agents?

Credal enforces enterprise security policies across AI agent actions, provides full audit trails for compliance, and includes live run monitoring. It connects AI agents to internal data sources securely, allowing legal and compliance teams to track all agent activities within the organization.

Who are the founders of Credal and what is their background?

Credal was founded in 2022 by Jack Fischer and Ravin Thambapillai, both Palantir alumni. Their experience in enterprise data security and government-scale deployments directly informs Credal's focus on secure AI agent governance for large organizations.

What integrations does Credal support with LLM providers and enterprise tools?

Credal integrates with major LLM providers including Anthropic, OpenAI, and Google. It also connects with enterprise tools such as Salesforce, Zendesk, Snowflake, Slack, Box, and GitHub, enabling AI agents to access and act on internal data across these platforms.

Which companies use Credal and are there case studies available?

Notable Credal customers include Comcast, MongoDB, Wise, Lattice, Checkr, Altana AI, and Incident.io. The company publishes case studies for Wise, MongoDB, Lattice, Checkr, and Incident.io, demonstrating real-world deployments of its enterprise AI agent platform.

How much funding has Credal raised and from whom?

Credal raised a $4.8 million seed round led by Spark Capital in October 2023, after emerging from Y Combinator. The company was also listed in a February 2026 TechCrunch roundup of US-based AI companies that raised $100 million or more in 2026.

Sources

  1. www.credal.ai — Product description, customer logos, case study links, agent registry features
  2. techcrunch.com — Seed round amount ($4.8M), lead investor (Spark Capital), founding team background (Palantir alumni), Y Combinator backing
  3. techcrunch.com — Credal listed among 17 US-based AI companies that raised $100M+ in 2026
  4. investor.figma.com — Context on MCP adoption and enterprise AI trends (Figma's Q1 2026 earnings, MCP weekly active users growing 5x QoQ)