Why gradix.ai
Curation at Scale
Manual review breaks under volume. This system turns a short prompt into a fully automated evaluation pipeline - letting you shortlist candidates at scale without compromising on quality.
Clarity You Can Trust
Every decision comes with reasoning. Whether it's a rejection or a top score, you’ll get structured explanations, filter justifications, and rubric-backed evaluations. No more gut calls or invisible logic.
Locked In. Laser-Focused.
Engineered by you. Just describe your ideal candidate once - the system takes care of the rest. From parsing applications to scoring them, the setup is fast, structured and aligned with your goals.
The Way it is done
Frictionless Onboarding
Whether you're curating a pitch event or running an accelerator, getting started takes just minutes. Sign up, describe your ideal candidate, upload your form responses, and the system begins evaluating. No complex setup.
Automatic Criteria Generation
Your requirement is converted into structured logic. The system builds a well-rounded set of evaluation guidelines to ensure candidates are judged consistently, fairly and in accordance with you.
Effortless Filtering
Ineligible candidates are automatically filtered out using precise constraints. Each rejection includes a logged reason. We're not just fast, we're also transparent.
Transparent Scoring Engine
Eligible candidates are scored against your rubric on a 0–1 scale. Every score is backed by reasoning and citations from the candidate’s submission, giving you clarity, not black-box results.
Instant Shortlisting
Get a ranked list of top candidates in minutes. No more spreadsheets, internal scoring debates, or reviewer burnout. The best applicants rise to the top and you see exactly why.
Get Started with Gradix Now!
Frequently Asked Questions
Why can’t I just use ChatGPT to review applications manually?
You could, but this tool is designed to eliminate the overhead of repeated prompting, inconsistent reasoning, and human error at scale. Unlike one-off GPT use, this system turns subjective requirements into a reproducible evaluation pipeline.
Does gradix.ai adapt to different event types?
Yes. gradix.ai is fully event-specific. Each new event gets its own grading agent, tailored from the organizer's input. There’s no fixed scoring logic or predefined categories.
Does gradix.ai provide analytics or cohort-level insights?
Yes, while gradix.ai focuses on candidate-level evaluation, aggregated insights (such as average overall scores) are available in the analytics dashboard.
How do you ensure the evaluations are trustworthy?
gradix.ai provides justifications for each score based on candidate data, transparent logs for rejections and a clear audit trail of how each decision was made. Organizers can review everything. No “black box” logic.
Can gradix.ai make final selection decisions?
No - and that’s intentional. gradix.ai shortlists high-quality candidates with transparent scoring, but final decisions remain with human organizers. gradix.ai is a decision-support tool, not a replacement for judgment.
How do you validate the information candidates submit?
gradix.ai doesn’t blindly trust candidate inputs. It performs web enrichment by scraping candidate-provided URLs (e.g. Portfolios, LinkedIn) as well as document parsing for attachments like pitch decks or investor memos. This allows for deeper, context-aware evaluation and improves scoring accuracy.
Who is behind gradix.ai?
gradix.ai is from the house of BlockSurvey.