Context Performance at Scale

Make agent performance an infrastructure capability.

Standardize how AI agents consume context across teams, frameworks and model providers. Measure every workload against an accepted baseline and deploy versioned performance policies without rebuilding the agent.

Capabilities

Operate context performance across your organization.

performance

Cost / Quality / Latency

Every agent task produces a measurable context path. Cost and quality metrics flow automatically into your evidence system.

control

Profiles / Budgets / Policy

Deploy versioned Performance Profiles. Set context budgets per team. Enforce quality thresholds before promotion.

evidence

Receipts / History / Audit

Every task produces a verifiable Receipt. Compare performance over time. Full audit trail for compliance.

deployment

Local / VPC / On-Prem

Context data never leaves your infrastructure. Deploy where your security and compliance requirements demand.

The Question

Already built your own context layer?

LeanCTX is designed for teams that have moved beyond one-off prompt optimization. Benchmark your existing context strategy against versioned Performance Profiles and keep the winning approach.

Why should every agent team maintain context-performance infrastructure independently?

Scale

One context-performance layer across every agent runtime.

Claude Code

Anthropic's terminal-native agent.

Codex

OpenAI's cloud coding agent.

Cursor

IDE-integrated AI development.

Custom Agents

Your frameworks and runtimes.

Design Partners

Performance you can operate.

Versioned Performance Profiles. Private Context Kits. Shared evidence. Policy. Organization-wide economics.

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