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Wirkung vs offrec

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 offrec
DetailWirkung logo Wirkungoffrec logo offrec
What it doesEverything has an algorithm Zero-retention inference for frontier models
StageNot given Startup
FoundedNot given Not given
Based inNot given MX
Pricing modelNot given Freemium
PricingNot given Pay as you go from $10. Monthly subscriptions: Run $19/month, Run Plus $99/month (5× allowance), Run Max $199/month (10× allowance). Model pricing per million tokens varies: qwen3.8-max $2.00 input/$6.00 output, claude-haiku-5-5 $0.10 input/$0.50 output, claude-sonnet-5 $2.00 input/$10.00 output, cl
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
  • Zero-retention guarantees with signed cryptographic receipts for every API call
  • OpenAI-compatible API endpoint
  • Web-based chat interface with encrypted conversations
  • Access to 15+ frontier models including Claude, Gemini, Qwen, DeepSeek
  • Python SDK and R package support
  • Receipts show token usage, cost, model, provider and retention basis
  • No data storage on offrec infrastructure
  • Models run on managed third-party providers
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
  • Every call returns a cryptographically signed receipt proving zero retention
  • No need to negotiate zero-retention terms with each provider individually
  • Unified access to frontier models from multiple labs via single API key
  • Offrec owns no infrastructure; models run on managed providers
  • Verifiable accountability through transparent receipt system
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)00
Referring domains (Majestic)00

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