Run your product's AI features on machines you already own
Context optimization for production AI
Stage
Not given
MVP
Founded
Not given
Not given
Based in
IL
GB
Pricing model
Not given
Freemium
Pricing
Not given
Free: 1M context tokens (one-time). Pro: $15/month for 100M tokens/month, $0.18 per extra 1M tokens. Scale: $49/month for 350M tokens/month, $0.15 per extra 1M tokens. 30% off Pro or Scale for the first year for early access teams.
Key features
OpenAI-compatible API
Zero data retention
Automatic idle detection and workload routing
MDM-based agent installation
Cloud fallback with transparent logging
Support for Macs, Windows and Linux
Memory and speed estimation for models
Optional on-premises deployment
Data routing controls for sensitive workloads
Removes duplicate context and off-topic results
Works with any LLM provider
API and SDK integrations
Quality guard checks if kept context is sufficient
Local cleanup of tool output and JSON fields
Fallback to original context on service failure
Per-agent budgets and token limits
Savings report showing cost avoided
What makes it different
Costs stay flat as you grow because you pay for electricity instead of per-token cloud fees
Only uses idle time, stepping back immediately when users return
Code stays the same - just change the API base URL and key
Works with hardware you already own without buying new equipment
No data storage of prompts or responses
Reduces input tokens to LLMs by 56–71% on average
Optimizes in milliseconds without slowing requests
kibbu
Contextwaise