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Now in Pilot

Hiring has become
very good
at filtering.
Not at understanding
people.

Aikiyam helps companies evaluate engineers through structured, evidence-backed conversations - not resumes alone.

Skip the resume flood. Hire with Conviction.

Hiring broke when signal became proxy.

Resumes became keyword documents. Interviews became performance theatre. Candidates learned how to optimise for systems that rarely measure real capability.

Meanwhile, hiring teams are forced to make expensive decisions with incomplete information.

Aikiyam was built because we believe hiring works better when:

People are evaluated through depth, not speed
Evidence matters more than presentation
Context matters more than checklists
Companies understand how candidates think before interviews begin

How Aikiyam Works

01
Structured Evaluation Conversations

Candidates participate in deep-dive sessions focused on real projects, decisions, trade-offs, ownership, and execution.

02
Evidence Extraction and Review

Conversations are converted into structured capability evidence linked to references and reviewed by our team before activation.

03
Context-Driven Matching

Companies are matched based on role context, team needs, and demonstrated evidence - not resume keywords alone.

04
Continuous Learning Through Outcomes

Post-hire feedback loops help us understand where signal was strong, weak, or incomplete - improving every future evaluation.

What Changes With Aikiyam

Traditional HiringAikiyam
Resume-first, keyword filteringConversation-first, evidence-backed profiles
Short interviews with inconsistent evaluationStructured evaluation with human-reviewed outputs
Candidates ghosted with no feedbackTransparent feedback loops for both sides
Limited context, checklist-driven decisionsContext-aware matching based on real role needs
Little accountability after hiringOutcome feedback loops that compound over time

Aikiyam does not make hiring decisions. We help companies make better-informed ones.

Why We Started Aikiyam

We have seen strong engineers get rejected because they couldn't compress years of work into a one-page resume.

We have seen hiring teams spend weeks interviewing candidates without truly understanding how they think or execute.

We have also seen what happens after bad hires - teams slow down, trust breaks, delivery suffers, and everyone pays the cost.

What if hiring focused more on understanding work - and less on filtering profiles?

That question became the foundation for Aikiyam.