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Wirkung vs Tenki

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

Wirkung compared with Tenki
DetailWirkung logo WirkungTenki logo Tenki
What it doesEverything has an algorithm Cloud infrastructure for your code and agents
StageNot given Startup
FoundedNot given 2024
Based inNot given US
Pricing modelNot given Freemium
PricingNot given Starter: Free with $100 in credits; Team: $200/mo (annual) or $250/mo (monthly) with $100/mo credits. Usage-based rates: Code Reviews $1.00 per review, x64 Runners $0.002 per vCPU/minute, macOS Runners $0.020 per vCPU/minute, Sandbox vCPU $0.000014 per second, Sandbox Memory $0.0000045 per GiB/secon
Key features
  • Constant-state attention: models serve any context length from the same memory per request
  • HCGM: models run from disk storage instead of memory
  • M-Rail: context processed by a model can be reused instantly in future requests
  • CPUDA/sGPU: run unmodified CUDA programs on CPUs with bit-identical results
  • Organ grafting: transfer capabilities between models without training
  • Personal instruction set (ISA) compiled on device from phone signals
  • Population ISA: compile laws from many people without personal records
  • Digital twins of customers, fleets, cities or markets
  • Results identical across all machines and architectures
  • Computation cost follows novelty not data size
  • Instant sandboxes that boot in under one second
  • GitHub Actions runners for x64 and macOS
  • AI-powered code review on every pull request
  • Support for Go, TypeScript, and Python SDKs
  • Git operations including clone, checkout, and diff
  • Persistent volumes and snapshots
  • Outbound domain and CIDR allowlists
  • Pre-built container images
  • OpenCode integration for AI workflows
  • Configurable CPU and memory options
What makes it different
  • Constant memory cost regardless of context length or data size
  • Exact reuse: every computed result is kept and reused instantly
  • Portable execution with bit-identical results across all hardware
  • Models run from storage without retraining or fitting in memory
  • Privacy-preserving: raw data never leaves the device
  • Bare-metal infrastructure for 30% faster performance and up to 60% cheaper than alternatives
  • Sandboxes boot in under one second, enabling instant isolation for AI agents
  • AI code review that reads your full codebase and reviews every PR
  • Drop-in GitHub Actions replacement requiring no configuration changes
  • Infrastructure built specifically for AI agents to write, run, and ship code
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check47 no change since last check
Trust Flow (Majestic)010
Citation Flow (Majestic)034
Referring domains (Majestic)0222

3 details filled in for both companies.

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