GOKBASE
(00) Pitch

We didn't fix the resume.
We replaced it.

GoKBase is the screening layer hiring should have had. A Knowledge Base Engine that walks every job, every project, every repo, candidate-verified, every claim cited.

10-min read3 density tiers6-section deep divePlug GoKBase in
(01)

Three densities, one thesis

Intro paragraph5 sentences

The full thesis, in one breath.

Hiring runs on the resume. A one-page snapshot of a person's career, designed to be skimmed by software, that almost never describes what someone actually did. Every screening tool ever built sits on top of this broken input and inherits its problem: the old keyword-based ATS misses context, the new wave of black-box AI scorers just hides its guesses behind a number. Different decade, same garbage in. GoKBase didn't try to fix the resume; we replaced it with a Knowledge Base Engine. 53 specialized agents across 4 pipelines walk a candidate's actual career chronologically (every job, every project, every repo) and turn it into a structured Knowledge Base and Knowledge Graph the candidate verifies and approves at every step. Recruiters plug it into their existing hiring stack as a drop-in replacement for the screening layer: 1000 applications come in, the KB Engine processes them, and the recruiter sees exactly where each candidate stands against the job, ranked, with reasoning, every claim cited back to the candidate's own approved KB. On top of the engine, candidates build a public profile through Design Studio that anyone can chat with, turning the recruiter tool into a viral consumer surface.

Elevator~95 words

Tighter. The same thesis at conference cadence.

Hiring runs on the resume. A one-page snapshot designed to be skimmed by software that almost never describes what someone actually did. GoKBase replaces the broken keyword-based screening layer with a Knowledge Base Engine: 53 agents walk a candidate's actual career, every job and every repo, and turn it into a structured KB the candidate verifies and approves at every step. Recruiters plug it into their existing hiring stack to see exactly where each applicant stands against any role, with every claim cited back to the candidate's own approved work. The same engine powers Design Studio, a public profile candidates build that anyone can chat with, turning the recruiter tool into a viral consumer product.

Hallway20 sec / 3 sentences

The shortest version that still lands.

Hiring runs on the resume, a one-page snapshot designed to be skimmed by software that almost never describes what someone actually did. GoKBase replaces the broken keyword-based screening layer with a Knowledge Base Engine: 53 agents walk a candidate's actual career, every job and every repo, build a structured KB the candidate verifies and approves, and recruiters plug it in to see exactly where each applicant stands against any role with every claim cited back to the candidate's own approved work. The same engine powers Design Studio, a public profile candidates build that anyone can chat with, turning the recruiter tool into a viral consumer product.

(02)

The full deep-dive

(02.1)The problem

The problem is the input, not the algorithm.

The problem is the input, not the algorithm. Hiring runs on the resume, a one-page snapshot of a person's career, designed to be skimmed by software, that almost never describes what someone actually did. Every screening tool ever built sits on top of this broken input and inherits its problem.

(02.2)Same garbage in

Every solution is a wrapper around the same broken thing.

Every existing solution is a wrapper around the same broken thing. The old keyword-based ATS misses context. The new wave of black-box AI scorers just hides its guesses behind a number. Different decade, same garbage in.

(02.3)The replacement

We replaced the resume.

We didn't fix the resume. We replaced it. GoKBase is a Knowledge Base Engine. 53 specialized agents across 4 pipelines walk a candidate's actual career chronologically, every job, every project, every repo, and turn it into a structured Knowledge Base and Knowledge Graph. The candidate verifies and approves every step. Transparency isn't a feature on top, it's how the engine is built.

53 agents›4 pipelines›chronological walk›candidate-approved KB + graph
(02.4)Where it plugs in

Drop-in for the screening layer.

We replace the screening layer in the existing hiring stack. Recruiters don't have to change their ATS. They keep Greenhouse or Lever for everything else and plug GoKBase in at the screening step. 1000 applications come in, the KB Engine processes them, the recruiter sees exactly where each candidate stands against the job, ranked, with reasoning, and every claim cited back to the candidate's own approved KB. No opaque score. No FCRA exposure. Decisions you can defend in court.

1000 applications›KB Engine›Ranked, reasoned, cited
(02.5)Design Studio

The consumer surface that ships the engine.

On top of the engine, candidates get their own product. Through Design Studio, every candidate builds a public profile, a clean website backed by their KB. Anyone visiting the page can chat with the candidate's career and get answers grounded in their KB with citations. This turns the recruiter tool into a viral consumer surface: every candidate profile becomes a marketing channel for the engine.

(02.6)Why now

The timing isn't optional anymore.

The timing isn't optional anymore. EU AI Act enforcement August 2026. Eightfold FCRA class action January 2026. Mercor's 4TB breach in April. Black-box hiring AI is becoming a liability the legal team will refuse to underwrite. Cited, candidate-approved reasoning is the only model that survives, and we're the only ones building it.

Aug 2026

EU AI Act enforcement

High-risk hiring systems must show cited, auditable reasoning. Black-box scorers do not qualify.

Jan 2026

Eightfold FCRA class action

The first major precedent that an AI screening vendor can be held to consumer-reporting standards.

Apr 2026

Mercor's 4TB breach

Centralized candidate data without transparency or candidate ownership is now a liability boards refuse to underwrite.

Plug GoKBase in
at the screening step.

Cited reasoning. Candidate-approved. Defendable in court.

Build my KB