Connected by default
One record per person, carrying every application, resume, call and interview. The parts of hiring that belong together are stored together.
Scoreboad brings candidate information, screening, interviews, evaluation and hiring workflows together in one connected workspace — with AI doing the repetitive reading and people making every decision that matters.
Why it exists
Scoreboad is built around a simple idea: hiring works better when candidate information, conversations, evaluation and workflow stay connected. Most of what makes hiring hard is not the decisions — it is everything that has to be true before a decision can be made, spread across tools that do not know about each other.
Modern hiring needs better context, not more tools.
AI and people
Every AI feature in Scoreboad produces a structured result that is checked in code and then shown to a person, beside whatever it was derived from. Nothing a model produces is written to a candidate's record on its own, and when the AI provider is unavailable the manual workflow still works.
How it is built
Each of these is something the codebase does, rather than something we would like to be true.
One record per person, carrying every application, resume, call and interview. The parts of hiring that belong together are stored together.
AI proposes and a human applies. The review step is in the architecture, not in a policy document — there is no path that skips it.
AI is pointed at reading, structuring and summarising. The checkable facts — requirements, experience, notice, location — are settled in code, which is why a score can never contradict them.
No certifications are held, there are no customers to name and pricing is not set. All three are on this site in as many words, because finding out later is worse than reading it now.
End to end
The same sequence every part of the product is built around.
The walkthrough covers all of it, end to end, in fifteen stages.