Knowledge Base
Voice rules. Audience profiles. Positioning. Compliance mandates. Persona voices. Tagged, typed, embedded, queried.
- Five typed entity classes
- Asymmetric Voyage embeddings
- Neural reranker · Stage 2
- Three-tier multi-tenant hierarchy
Five typed entity classes, asymmetric embeddings, neural rerank. The architecture that lets the system get sharper instead of forgetful.
Read the deep divePublic blind tests against ChatGPT, Claude, Gemini. Same brief, side-by-side, you pick. We publish results good and bad.
Enter the arenaMid-market financial sponsor. Twelve outputs per campaign, compliance-checked, voice-locked. Six-week ramp, week-twelve outcomes.
Read the caseWhy a structured KB compounds while everyone else's outputs reset every session. A look at the architecture and the math.
Read itWe are looking for people who have run marketing inside a real company and who want to build the tool they wished they had.
See open rolesHallucinations. Context drift. Made up KPIs. A brand voice that sounds right for two outputs then disappears. We built Off Zero to fix this. A proprietary, agentic knowledge base that's intelligently queried on every generation, with two-stage retrieval: vector search followed by a neural reranker tuned to each output. The right knowledge surfacing every time so your marketing and sales content never drifts and gets smarter over time.
We do not read your brand guide. We structure it. Five typed entity classes. Each retrieved differently, weighted differently, applied differently at generation time. Queried every time. Forever.
Voice rules. Audience profiles. Positioning. Compliance mandates. Persona voices. Tagged, typed, embedded, queried.
One brief becomes 21 channel-ready outputs. Generated in parallel, formatted per channel, compliance-checked before they land.
Every output scored on five dimensions before it ships. Every score shows its work. Source entries surfaced on every line.
KB-grounded strategy. Campaigns, positioning, gaps, launches. Answers that change because the system actually knows the brand.
A model with no brand memory is a stranger. A structured KB is the asset. Switching vendors does not transfer the intelligence. That is the point.
Two operators inside Off Zero outproduce a team of ten without it. Not by replacing the people. By giving them the infrastructure their job has always required.
We publish the architecture. We publish the comparisons. We publish what works and what does not. The Arena settles it in public.
How to structure brand intelligence so a system can actually retrieve it. Five entity classes, asymmetric retrieval, when to use what.
Public blind tests against ChatGPT, Claude, and Gemini. Same brief, side-by-side. We publish wins and losses.
From inside the build. Decisions, mistakes, the math. Written by the team shipping the platform.
Six-week ramps. Month-twelve outcomes. Throughput, time-back, voice-match scores. Numbers, not testimonials.
Off Zero was not built by an AI lab. It was built by the people who lived the problem. Marketing leaders who shipped inside companies that grew. Founders who wrote every post themselves until they could not anymore. Engineers who built the infrastructure they wished their last team had.
We watched agencies sell hours and watched in-house teams burn out trying to keep up. We watched executive thought leadership get reduced to LinkedIn vomit. We watched compliance teams get steamrolled by speed. None of it was a writing problem.
The answer was not another writing tool. It was infrastructure. A structured knowledge base. A generation engine. A compliance and brand-fitness layer built around it. The system we wished we had, made available to operators who can use it.
Off Zero is the tool. The Off Zero Method is the operating manual. We will give you both.
Private beta access is limited. We onboard a handful of operators each month. Request access and we will set up a working session to see if it fits.