Hire builders
who ship real value
with AI
With AgenticRank, see how your teams actually work with AI agents. Real assessments for the new era.
Works with
Why AgenticRank
Hiring one engineer costs 60+ hours of your best people's time.
Your HM spends 20+ hours preparing challenges, interviewing, and deciding. Your senior engineers lose 18+ hours in technical panels. That's ~$6,000 in team time per position, and 1 to 3 months before your new hire delivers real value.
A bad hire? All of it gone. Back to zero. And 85% of hiring managers still make that call on gut feeling.
Now the bar is higher: engineers today orchestrate AI agents, not just write code. The skills that matter have changed. The way you evaluate them should too.
The real time cost of hiring one engineer
Accumulated team hours across the hiring pipeline
Old Process
62h
of team time
Using AgenticRank
5h
of team time
2h
HM time per hire
0h
Engineering panel hours
5h
Total team time per hire
weeks
Time to productive hire
10x
free time back to your team
AgenticRank gives your hiring manager structured, data-backed signal before your team ever gets involved.
No more building technical challenges from scratch. No more pulling senior engineers into panels for candidates who won't make the cut. AgenticRank evaluates how engineers actually work today: orchestrating AI agents, debugging real problems, shipping real solutions.
Your HM gets a detailed assessment report with objective scores, behavioral evidence, and a clear recommendation. Enough to reject, advance, or hire with confidence.
Less time hiring. Better hires. More time building.
How it works
Real Challenge
Your candidate gets a production grade coding challenge with real issues baked in. It feels like day one at the job, not a LeetCode puzzle.
Their Environment
They work in their own IDE, their own setup, their preferred AI agents. Cursor, Copilot, Claude Code. No artificial sandboxes. How they work every day is how they get evaluated.
Given an array of integers nums and an integer target, return indices of two numbers...
We Observe & Analyze
Our AI agents watch the full session: how they decompose the problem, how they orchestrate their tools, how they verify their work. Not just the result, the process.
Your Report
You get a structured assessment across 5 dimensions with behavioral evidence, video timestamps, and a clear hire or no hire signal. Enough to decide with confidence.
Five dimensions. One signal.
Problem Decomposition
Do they understand the problem before touching code, or do they just start prompting?
Environment Setup
Do they configure their tools for the codebase, or jump in blind?
Agent Delegation
Do they give clear, scoped tasks to AI agents, or dump everything and hope?
Verification
Do they review, test, and challenge AI output, or accept it blindly?
Technical Results
Does the final code actually work, pass tests, and solve the problem?
Built for how you hire
Stop losing weeks on bad hires when every seat matters.
- //Know if they can actually build before you commit
- //Stop pulling your best engineers into interview panels
- //Get a hire/no-hire signal in 30 minutes, not 3 rounds
- //See how they use AI tools, not just if they pass a puzzle
- //Benchmark your current team and find where to level them up
Send clients proof, not résumés.
- §Show exactly how candidates work, not just what they claim
- §Filter 10x faster without needing your own technical team
- §Stand out from every other agency sending the same CV stack
- §Give your clients video evidence, not just your word
- §Evaluate candidates you can't technically assess yourself
Scale hiring without scaling your interview bottleneck.
- →Evaluate consistently across teams and geographies
- →Free your senior engineers to build instead of interview
- →Standardize what "senior" actually means in your org
- →Measure your existing teams' AI fluency and close skill gaps
- →Replace tribal knowledge with measurable, auditable signals