Now accepting design partners
Resumes don't tell you who someone is. Job descriptions don't capture what your team actually wants. Kora rebuilds both, then matches on the result.
We're working with a small group of design partners through 2026. If you're hiring and willing to shape the product with us, we'd like to talk.
Where we sit
Most AI hiring tools filter faster. We fix what's getting filtered.
Resumes were never built to predict job performance, and job descriptions were never built to capture how teams actually decide. Every tool layered on top of them is optimizing the wrong thing.
THE REST OF THE CATEGORY
Better filters on broken inputs.
ATS upgrades and AI screeners that rank resumes faster
Sourcing platforms that translate LinkedIn keywords
Filter tools racing to keep up with AI-generated applications
Same resume, same JD, same proxy signals, just processed at higher volume
KORA
Better inputs, then a real match.
ATS upgrades and AI screeners that rank resumes faster
Sourcing platforms that translate LinkedIn keywords
Filter tools racing to keep up with AI-generated applications
Same resume, same JD, same proxy signals, just processed at higher volume
Our Approach
Profiles + Rubrics = Accurate Hires
We treat hiring like a data problem, not a volume problem. That means rebuilding the inputs on both sides of hiring before any matching happens.
Complete data → Profiles
Who candidates
actually are.
We capture what matters from everything a candidate produces: interviews, work samples, profiles, even resumes. Not a self-edited summary. The full signal.
Team needs → Rubrics
What your team
actually wants.
We capture how your team actually evaluates, from hiring discussions, decision criteria, and past hires you'd want to clone. Not a job description. The actual evaluation framework.
A real profile
See the signal, not the summary.
Every candidate scored against your rubric, with the evidence behind each score. Tradeoffs visible. The strongest candidates surface, including the ones a resume scan would miss.
1
Companies > Alder Ridge Systems > Enterprise Account Executive > Maya Chen
Maya Chen
2
Profile
Resume
Interview Q&A
87
3
Score
Strong fit. 7+ years of experience driving growth across B2B SaaS environments with a focus on operationally complex customer accounts. Strong background in consultative sales, cross-functional collaboration, and long-cycle relationship management.
4
CAREER PATH
5
Rubric Scores
Enterprise Sales Execution
9
Stakeholder Communication
9
Pipeline Ownership
8
Enterprise Sales Execution
7
Cross Functional Collaboration
9
6
Applicant Insights
What we like
Repeated history of succeeding in roles with broad ownership across prospecting, deal execution, and expansion.
Demonstrates strong consistency in quota attainment across multiple companies and role transitions.
Evidence of process-oriented thinking through repeated involvement in onboarding improvements and cross-functional initiatives.
What to check on
Most experience has been in growth-stage environments rather than large enterprises.
Primarily focused on new business and expansion rather than channel partnerships.
Limited evidence of international account ownership.
HOW TO READ THIS PROFILE
Every Kora profile is built from the same parts. Here's what each one is showing you.
1
Where this candidate sits
Kora supports multiple companies and multiple roles per company, so recruiters and fractional teams can manage a whole book in one place.
2
All the source material
Resume and interview Q&A are captured for every candidate. Traditional artifacts aren't missing; they help feed the profile.
3
Overall score
Out of 100, weighted across the rubric. Use it to compare candidates within this role, not across roles.
4
Career path
Most recent roles, at a glance. A quick read on someone's track record before you go deeper.
5
Rubric scores
Each criterion is something your team told us to evaluate. Scores 0 to 10, with traceable reasoning behind every one.
6
Applicant insights
A second pass, deeper than the score. What's worth leaning into, and what to probe further before you decide.
Live Partnerships
Built with the people who hire.
Kora is in production right now, running real roles for real teams. We're learning what works the same way our partners are: one search at a time.
Blanc - Early stage startup
First role narrowed to an 11% shortlist that matched the founder's manual quality bar, without the manual sift. Over 550 candidates evaluated through Kora to date.
"These profiles surface what actually matters to me."
Albara, Founder & CEO
Volterea - HR consultants
Using Kora across their book of clients. Iterating with us on the platform as the team uses it on live searches.
"Kora saved me days sorting through hundreds of similar profiles."
Partner, Talent Management
Partnership
What being a design partner looks like.
Design partners use Kora on real roles, share what's working and what isn't, and shape the platform as we build it.
WHAT YOU DO
Run your live roles through Kora
Share the hiring artifacts that make a great rubric: discussions, decision criteria, past hires you'd want to clone
Give active feedback as you use the platform: what's working, what's missing, what's confusing
Take occasional 30-minute calls when we're sorting through a hard product decision
WHAT YOU GET
Founder-led placements. Our team runs every hire directly alongside you.
Real influence on the roadmap. The product is designed around what current partners need
Preferred terms while the partnership is active, with the option to continue afterward
First access to new features as they ship
A real profile
If this matches a problem you live with, let's talk.
Send a note. We'll set up a 30-minute conversation to learn about your hiring needs and walk through the platform.
Contact Us →