VernLLM is a lightweight resilience layer for LLM clients that handles retries, timeouts, circuit breakers, caching, rate limiting, observability and cross provider fallbacks for your calls.
Works with OpenAI, Anthropic, Bedrock, Gemini, and 30+ providers.
Get schema-validated outputs, cache coalescing, tool calling, and streaming too.
Framework agnostic and adapter-based, so you can swap providers easily. Built to save teams the sprints and incidents of maintaining LLM infrastructure.
Most tools paste your CV into a generic prompt and hope, or lock tailoring behind a paywall first. Applera scores skill and text overlap deterministically first, then uses AI to refine anything that isn't already a strong match. Every CV and job pair is cached, so reruns never rescore or rebill. It also builds interview prep from the actual job, not generic questions. No card, no demo call: upload a CV, paste a listing, get a tailored application immediately.
