Agent optimization layer that automatically optimizes agent workloads to extend context windows and reduce costs
Stage
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Founded
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Based in
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Pricing model
Paid
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Pricing
Pro: $29 per month (billed monthly) or $278.40 per year with 20% savings. Includes 3,000 queries per month, KB-DEEP and KB-CORE reasoning engines, all thinking modes, API key, and priority support. Custom plans available with negotiated query quota, dedicated support, and custom integrations.
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Key features
Works with multiple AI models and clients (OpenAI, Claude, Cursor, VS Code, Gemini)
KB-DEEP and KB-CORE reasoning engines
All thinking modes included
MCP integration without workflow changes
API key for programmatic access
Priority and dedicated support options
Custom integrations for enterprise plans
3,000 queries per month on Pro plan
Automatically removes redundant and stale context from agent workflows in real time
Reduces token usage by 37–67% across agent workloads
Maintains baseline pass rates and success rates without code changes
Extends context windows for longer-running workflows
Zero code changes required for integration
Continually monitors and learns agent workloads
What makes it different
Enhances existing models without replacing them or requiring retraining
Single connection integrates with entire AI stack
Proven performance improvements on custom expert tasks
Generates sharper answers with fewer blind spots
Works with any compatible AI model without vendor lock-in
Reduces agent inference costs by 37–67% while maintaining the same success rates
Works transparently with zero code changes required
Focuses optimization on removing wasted tokens while keeping success rates high
Enables teams to take on more ambitious problems with the same resources