Skip to content
Stork.AIstork.ai
AI Tool

Reality Kernel Review

Reality Kernel is a sovereign reasoning engine designed to prevent rogue AI actions by intercepting commands and evaluating their intent before execution, providing cryptographic audit trails for all decisions.

shipped Aug 14, 2026paid
Reality Kernel — product screenshot

Why it matters

1Provides cryptographic causal verification for autonomous agents.
2Simulates agent actions across parallel 'shadow worlds' to detect attacks.
3Offers deterministic, auditable execution logs with sub-millisecond latency.
4Aids compliance with regulations such as the EU AI Act through court-grade cryptographic proof.

About Reality Kernel

Business Model
Subscription SaaS
Usage Pricing
$0.05/command per command
Founded
2026
Platforms
Web, API
Target Audience
Enterprise AI platform teams

Pricing Plans

Pro
$0.05/command
  • • Dedicate tenant cluster
  • • Custom control mapping on request
  • • Audit chain
  • • Zero trust

Cost Examples

  • • Process 50,000 commands: ~$2,500
API Docs

Specs

API Docs

View Documentation →

API Available

Yes, public API

overview

What is Reality Kernel?

Reality Kernel is a sovereign reasoning engine tool developed by Reality Kernel that enables enterprise AI platform teams, production startups, and regulated teams to prevent rogue AI actions and ensure deterministic security for autonomous agents. It provides cryptographic causal verification by intercepting commands and evaluating their intent before execution, generating cryptographic audit trails to secure all decisions and ensure compliance with regulations like the EU AI Act.

features

Key Features of Reality Kernel

Reality Kernel incorporates several technical features to ensure the security and audibility of autonomous AI agent operations, moving beyond probabilistic models to offer deterministic verification.

  • Sovereign reasoning engine for autonomous AI agents.
  • Cryptographic causal verification through parallel 'shadow world' simulations.
  • API available for integration into existing AI platforms.
  • Cryptographic audit trail with SHA-256 ledger for tamper-evident logging.
  • Effect-class scoring to evaluate the potential impact of agent actions.
  • Zero retention commands for enhanced privacy and data security.
  • Deterministic, auditable execution logs with sub-millisecond latency.
  • Native path defense and canonicalization for robust security.
  • Operator override dashboard for manual intervention and control.

use cases

Who Should Use Reality Kernel?

Reality Kernel is designed for organizations and developers requiring stringent security, compliance, and audibility for their autonomous AI deployments. Its capabilities address critical concerns in regulated industries and high-stakes AI applications.

  • Enterprise AI Platform Teams: For securing autonomous AI fleets and ensuring verifiable execution logs.
  • Production Startups: To implement deterministic security and threat mitigation for AI agents in live environments.
  • Fortune 500 & Regulated Teams: For achieving compliance with regulations such as the EU AI Act through court-grade cryptographic proof.
  • Developers: For local development and CI testing using the free Developer Plan, including local mock mode and in-memory audit logs.

how to use

How to Use Reality Kernel

To begin using Reality Kernel, developers can integrate its API into their autonomous AI agent workflows. The platform supports various deployment options, including SaaS, VPC, or self-hosted configurations.

  • 1Access the API documentation at https://www.realitykernel.dev/docs/integration to understand integration points.
  • 2Utilize the Developer Plan for local development and CI testing, which includes local mock mode and in-memory audit logs.
  • 3Integrate the Reality Kernel API to intercept agent commands for causal verification and intent evaluation.
  • 4Monitor agent actions and audit logs through the operator override dashboard or standard ledger exports.
  • 5Leverage managed browser infrastructure for complex multi-step workflows, including navigation, clicking, reading, filling, and submitting forms.
  • 6Configure for compliance with regulations like the EU AI Act by utilizing SHA-256 cryptographic audit ledgers.

pricing

Reality Kernel Pricing & Plans

Reality Kernel offers a tiered pricing structure designed to accommodate various user needs, from individual developers to large enterprises, with options for both subscription and usage-based billing.

  • Developer Plan: Free. Includes local mock mode, native path defense & canonicalization, in-memory audit logs, and community Discord support. Ideal for local development and CI testing.
  • Team Plan: $799/month. Features live fast-path cloud ingestion, shadow-world simulation access, standard ledger exports & Discord webhooks, an operator override dashboard, and email SLA support. Geared towards production startups.
  • Enterprise Plan: Custom pricing. Offers isolated VPC or air-gapped deployments, SHA-256 cryptographic audit ledger, SOC 2 / HIPAA / EU AI Act compliance, multi-agent trace context, and dedicated support & integration engineering. Designed for Fortune 500 and regulated teams.
  • Usage Pricing: $0.05 per command. For example, processing 50,000 commands would cost approximately $2,500.
  • Managed Auth: Included in all plans, utilizing browser sessions for login and session management, with typical costs for 100 auth connections being less than $5/month in browser usage.

Pros

  • +Provides deterministic security and cryptographic causal verification, moving beyond probabilistic models.
  • +Offers court-grade cryptographic proof for compliance with regulations like the EU AI Act.
  • +Includes comprehensive threat mitigation for critical vulnerabilities such as prompt injection and exfiltration.
  • +Generates auditable execution logs with sub-millisecond latency.
  • +Supports flexible deployment options including SaaS, VPC, and self-hosted configurations.
  • +Features an operator override dashboard for manual control and intervention.

Cons

  • −The Team Plan is priced at $799/month, which may be a significant investment for smaller startups.
  • −Usage-based pricing at $0.05/command can accumulate costs quickly for high-volume operations.
  • −Requires integration into existing AI agent workflows, which may involve development effort.
  • −The complexity of 'shadow world' simulations and cryptographic verification may have a learning curve for new users.

Policies

Pricing Page

View Pricing→

Similar Tools

Reality Kernel vs Competitors

Reality Kernel distinguishes itself from traditional AI security solutions by focusing on deterministic security and cryptographic proof, rather than probabilistic models or 'LLM-as-a-Judge' guardrails.

More on Stork

Related AI Tools

Other tools in this category, matched by shared tags

Let's Foodie AI Recipe GeneratorRipePlateGetWardrobeWord.Studio Movie RecommenderEMSYOURFAVE
Visit Reality Kernel↗
Connect
in
LinkedInwww.linkedin.com/company/keter-labs/