Every resume read. Nothing binned unread.

Nothing gets rejected
by a machine.

Whether a software does it or you do it at 11pm, the resumes that read well get the time and the ones that are right get skimmed. Every resume here gets the same attention as the first one. You get the reasoning in writing.

No shortlist leaves here without a named person behind it.

One offer.
Done properly.

Independent recruiting firms lose hours every week to resume screening: reading 80 applications to build a shortlist of six. We take that work off your desk. Send us a batch and a job spec, and we send back a ranked shortlist with a written assessment of every candidate, within the hour.

Two forces making recruiting
harder every year.

Most shortlisting tools don't fix this. They make both problems worse.

AI keyword tools bury the candidates you're looking for

When automated tools filter by keyword match, strong candidates disappear simply because they described the same skill differently. You never see them. Your client never meets them. A placement falls through three months later, and it's your reputation on the line, not the algorithm's. The cost of a missed hire at independent firms isn't an abstraction: it's a client relationship.

AI-written resumes are flooding your inbox

A growing share of the applications in your pile were drafted by AI: keyword-dense, polished, and almost entirely hollow. They sail past automated filters and into your interview schedule. Only a trained eye spots them, the same trained eye that recognises genuine potential buried under a non-standard format or a career path that doesn't follow the obvious script.

Both problems have the same fix: someone who reads for meaning, not keywords, and knows what a strong hire actually looks like.

Two stages.
Every shortlist.

Reading stage

Scores and ranks every resume against your job spec

The moment your batch lands, AI reads every resume for meaning, not keyword matches. Within minutes, every candidate is ranked with a written rationale: why they fit, what to probe on a call, any gaps worth noting. You see the reasoning behind every ranking, not just a score.

Reads for semantic fit, not keyword density. A resume that says "built ML pipelines in PyTorch" matches a spec asking for "Python ML experience." A keyword tool misses that entirely.
Judgement stage

Every shortlist reviewed by a leading industry expert

Before any shortlist leaves our desk, a leading industry expert goes through it. Not to review from scratch, but to catch what AI tends to miss: strong candidates with unconventional career paths or non-standard resume formats. They calibrate to what your specific clients actually want, and that calibration compounds over time.

Domain expertise you can't replicate with a prompt. Our experts know the tech hiring market. They spot the signal that raw AI misses.

AI speed. Expert judgement. You always see the reasoning behind every shortlist. You always make the final call. We just get you there faster.

A shortlist you can act on.

Every batch comes back as a ranked list with a written brief for each candidate: not scores or flags, but the kind of notes a thorough researcher would write.

Reading stage Scores & ranks every resume in minutes
Judgement stage Leading industry expert checks every shortlist
You decide Ranked shortlist with full reasoning, ready to act on
Shortlist — Senior AI Engineer
From: Superceptron <info@superceptron.com> Subject: Shortlist — Senior AI Engineer
47 screened · 5 shortlisted · Ready in 52 min
#1 A. Okonkwo Agreed
#2 D. Kaur Readers split
#3 P. Nandakumar Agreed
#4 T. Reyes Readers split
#5 J. Whitlock Readers split
Reviewed · All 5 shortlist positions confirmed

Full rationale for each candidate attached ↓

Candidate Brief — A. Okonkwo
#1 A. Okonkwo Agreed

"Meets every hard requirement without needing interpretation — six years of production Python, four of those owning model-serving infrastructure rather than notebooks. The scale gap reads smaller once you look closer: two roles back they handled payments throughput at far higher volume, and the architectural problems are the same shape."

"One thing to probe: the largest system they've named serves roughly 40k requests/day, and the spec implies an order of magnitude above that. Worth asking how the architecture would change at higher scale."

Recommended: move to first call, early in the week.
My call

"Top of the list, and it wasn't close. The only real question is scale, and it's an interview question rather than a screening one — the underlying experience is there, just in a different domain."

View a real sample shortlist

Built for focused,
independent recruiting firms.

Independent enough to actually
pick up the phone.

Large platforms are built for enterprise accounts with procurement teams and IT departments. We're not. We work the way independent recruiting firms work: direct, fast, without the overhead.

Meet the founder
01

Founder does the work directly

You talk to Snehal, the person who built the system and runs it. No account manager, no handoffs, no ticket queue to log requests into.

02

No enterprise pricing model

No seat licences. No minimum contracts. No annual commitments before you've tried it. Pay for what you actually use.

03

Works with your existing ATS and CRM

We work with whatever you already have: Bullhorn, Crelate, JobDiva, anything. No migration, no training, no change management project.

The honest comparison.

Most recruiters at small firms land on the same three options before deciding. Here's where each one falls short.

Alternative 01 ChatGPT & off-the-shelf AI tools

You do all the work: writing prompts, handling file uploads, deciding what to evaluate. No integration into your actual workflow. No accountability if the shortlist misses someone good.

A real person reads every resume and returns a ranked shortlist through the portal. The reasoning is visible. If the shortlist misses someone good, that's on us to explain.

Alternative 02 Self-serve screening softwareShortlistHQ and similar tools

You still do the work. Log in, upload resumes, configure the model, interpret the results, every search. No human reviews the output. Edge cases and formatting quirks are your problem.

We do the screening. You review the shortlist. No model to configure, no results to second-guess, no edge cases that are mysteriously your problem.

Alternative 03 Hiring an internal ops or admin person

Fixed salary cost whether you have 80 resumes to screen or eight. Months of ramp-up and training. Ongoing management overhead that compounds as your team grows.

Pay only for the volume that exists right now. No recruiting, no onboarding, no performance reviews. Flex up when a big mandate lands; step back when it's quiet.

We track time saved on shortlisting and shortlist-to-interview conversion from day one, and share it back with you.

Now open

Now onboarding recruiting firms.

Try Superceptron on your first role, free. No commitment, no sales call. Send us your resumes and a job spec and you'll have a shortlist back within the hour.

Get your first role free →

Thinking that shapes
the work.

Recruiting Operations · May 2025 · 12 min read

The 6% Problem

The average recruiter spends 6% of their day on work that actually drives placements. Here's what's eating the other 94%, and what happens when you take it back.

Snehal Roymedhi Founder, Superceptron
Read the piece
94% of recruiter time spent on non-placement work
38% lost to resume shortlisting alone
4 min for AI to read what takes a human 40 hours
View all posts

Send us your next batch of resumes.

Try Superceptron on your first role, free. Send us your resumes and a job spec. You'll have a shortlist back within the hour. No commitment, no sales pitch, no strings attached.

Get your first role free →

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