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SHIP vs Kronumos

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

SHIP compared with Kronumos
DetailSHIP logo SHIPKronumos logo Kronumos
What it doesAn agentic engineering platform that takes assigned issues to reviewed, tested pull requests Autonomous AI coding agent with deterministic program repair
StageStartup Not given
Founded2026 Not given
Based inNL ID
Pricing modelFreemium Freemium
PricingFree: 3 credits when you connect your first repository. Credit packs: 10 credits for $49, 50 credits for $199, 100 credits for $349 (one-time purchases, credits never expire). Starter plan: $170/month for 50 credits plus 5 agents at once. Scale plan: $480/month for 160 credits plus 8 agents at once. Core Basic: free (20 CLI / 15 Web runs per day, 50K daily AST tokens). Apex Pro: $11/month (100 CLI / 75 Web runs per day, 250K daily AST tokens). Sovereign Ultra: $44/month (400 CLI / 300 Web runs per day, 1.0M daily AST tokens). Annual subscriptions include 2 months free.
Key features
  • Planner agent creates implementation and testing specs from tickets and docs
  • Builder agent writes code, runs formatters, linters, type checks and tests in sandbox
  • Reviewer agent validates code against plan and project guidelines
  • Tester agent runs deployment pipeline and validates acceptance criteria
  • Real-time mission monitoring with cost attribution per stage
  • Configure different agents and models per role
  • Integrates with Linear, Jira, GitHub Issues or CLI
  • Human checkpoints to pause pipeline at any stage
  • Zero-trust security with encrypted credentials never entering sandbox
  • Scheduled maintenance tasks with auto-merge option
  • 4.1µs C-ABI latency native Rust Sub-Cortex execution
  • Zero dirty diffs with strict AST grammar validation and dry-run verification
  • Support for 6 production languages: Python, Rust, TypeScript/JavaScript, Go, C/C++, and Java
  • Polyglot language engines with direct Tree-sitter CST surgery
  • Machine-to-Machine sub-cortex infrastructure for autonomous agents
  • Zero Code Retention policy with ephemeral in-memory processing
  • 91.3% AST token pruning for repository context efficiency
  • Multi-file repository context with automated test-runner verification
  • Automated 5-Whys Root Cause Analysis and SRE incident diagnostics
  • System-wide dependency mapping and security audit capabilities
What makes it different
  • Only platform where all agents review and test before person reads PR
  • Mix agents and models by role for cost and quality optimization
  • Bring your own AI provider contracts and run inference on your accounts
  • Works with existing tools, repositories and CI/CD pipelines
  • Eliminates 95% of LLM token overhead through deterministic compiler verification instead of probabilistic inference loops
  • Operates locally with strict Zero Code Retention policy—no code logging, storage, or model training usage
  • Sub-microsecond repairs in CPU L1 cache without garbage collection pauses via native Rust FFI
  • Engineered as M2M sub-cortex infrastructure for autonomous agents, not consumer chatbot utility
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)6 −1 (down) since last checkNot checked yet no change since last check
Trust Flow (Majestic)10
Citation Flow (Majestic)2915
Referring domains (Majestic)532

6 details filled in for both companies.

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