The Californer - Pervaziv AI Advances Cortex with 3-Tier Inference Cache Architecture for Faster, Trusted AI Workflows

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Cortex adds context, prompt prefix and exact response reuse, delivering up to 150× faster prefill, 11× faster response delivery and 2.25× throughput.

SAN FRANCISCO - Californer -- Pervaziv AI today announced a new 3-Tier Cortex Inference Cache Architecture designed to make repeated enterprise AI work faster while preserving the controls required for current, authorized and trustworthy results.

The architecture introduces three forms of reuse across Cortex: context reuse, prompt prefix reuse and exact response reuse. Each tier has its own validity rules and security boundary.

"The next step in enterprise AI performance is not simply caching more," said Anoop Jaishankar, Founder and CEO of Pervaziv AI. "It is knowing exactly what can be reused, what changed, who is still authorized to use it, and when fresh computation is required. Cortex is turning inference caching into a governed capability, where speed comes from removing repeated work without removing the checks that make the result trustworthy."

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Reuse What Is Safe. Recompute What Changed.

The first tier, context reuse, can avoid rebuilding eligible application context when source state and permissions remain valid. The model still reasons over the current request.

The second tier, prompt prefix reuse, can reuse eligible model preparation when the beginning of a model request remains identical. In repeated tests, prompt processing fell from 2,913 milliseconds to 19.3 milliseconds for a tested workload, approximately 150 times faster, while the model continued generating a new response.

The third tier, exact response reuse, is designed for narrowly approved, identical, read only requests. In one live test, an initial request completed in 3,132 milliseconds and an identical repeat returned a reported cache hit in 281 milliseconds, approximately 11 times faster with about 91 percent lower latency.

A separate workload matrix completed 240 requests with zero request failures and showed up to 2.25 times the throughput under moderate concurrency for one mid length workload, while also reinforcing the need to evaluate tail latency and capacity alongside speed.

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The architecture follows recent Cortex releases that expanded where enterprise AI work can happen. Cortex Connect established continuity, Cortex Cloud added durable managed execution, and Cortex Discover brought Cortex into a dedicated agentic AI browser. The new architecture focuses on repeated work across those experiences.

Cortex evaluates reuse against authorization, source freshness, model and tool configuration, task state and route eligibility. When reuse cannot be proven valid, it falls back to fresh computation.

About Pervaziv AI

Pervaziv AI builds Cortex, an Enterprise AI Control Layer designed to coordinate specialized AI models, agents, search, skills, security, privacy, verification and governed execution across browser, mobile, development and cloud environments. The company focuses on helping organizations move from AI assistance toward trusted, controlled outcomes. Learn more at https://pervaziv.com.