Replace your entire recruiting stack with one AI-native ATS platform that learns from every hire

One platform. One closed loop.

Step 1Job Intake
Step 2Sourcing
Step 3CRM
Step 4ATS
Step 8Offer Letters
Step 7Interviews
Step 6Scheduling
Step 5Screening
AICPA SOC 2GDPR compliantWarden Assured — Fair and transparent continuous AI auditing

SCALIS is an AI-native platform with out—of-the-box enterprise security and configuration that supports 10k+ employee organizations while not getting in the way of small, nimble teams who need to move quickly.

Powering Recruiting Teams Worldwide

Fountain
Thnks
Korpack
Bandwidth
Superfiliale
Stronghold Investment Management
Boundless
CoAdvantage
Primepay
Dash
Partyslate
ISC
Intelligems
Hired Guns

"SCALIS is the best ATS I've ever used. I love how the platform intelligently assists with sourcing, candidate discovery, interview scheduling, scorecards, and pipeline management, significantly reducing manual admin work."

Anthony L.

Director of Recruiting at THNKS

"I love the SCALIS platform. It's easy to use and allows us to source candidates within a single system while creating efficiencies in our hiring process."

Frank R.

People Leader @ PartySlate

“I like how easy SCALIS is to implement and use, and the product team’s responsiveness to feedback has been exceptional.”

Lulu P.

Director of Talent at PosterElite

The SCALIS JOBSEEKER PROFILE

Every applicant joins your talent network for life

Stop paying job boards for the same candidate twice. Every applicant gets a universal SCALIS profile - persistent across every future application, enriched with interview data, scorecards, skills assessments, and rejection reasons.

500K+

Jobseekers in network

$0

Acquisition cost

22%+

Cross‑network hires

Jon Tucker profile photo

Jon Tucker

Sr. Software Engineer · Miami Flordia

90%

Match Score

Based on skills, experience & past performance

Skills

ReactNode.jsTypeScriptGraphQLAWS

Skills Assessment: 94th percentile

Silver medalist - 2 previous pipelines

Interview avg: 4.6 / 5.0

We have a 12:1 engineer to sales headcount ratio. Your ATS has a 1:1 ratio.

From intake to sourcing to screening to offer letter signed — 131+ features and counting.

AI Sourcing Agent

Search 850M+ profiles in plain language. Layer queries on top of a resume or open req, refine across passes, and let the system expand your search to adjacent titles, skills, and companies.

Match Scoring & Explainability

One scoring model across sourcing and your pipeline. See exactly which criteria each candidate meets, and tell the system in plain language which ones matter most.

Closed-Loop Learning

Rejection reasons, scorecards, and hires feed back into the match model, so recommendations sharpen with every req you run.

Advanced Search & Filtering

Boolean and natural-language search across 40+ filters — title history, education, tenure, employer size, funding stage, location radius, likelihood to relocate. Save filter sets and reuse them.

Saved & Shareable Searches

Save an entire sourcing session, rename it, and share it with your team or send a public link to your shortlist.

Bulk Sourcing Actions

Move up to 100 profiles at once into a talent pool, sequence, or open pipeline — with anyone already in your database flagged before you add them.

Browser Extension

One-click capture from LinkedIn and GitHub. Profile, work history, and contact email land straight in the ATS.

Contact Data Included

Email and contact reveals are included. No credit metering, no per-reveal overages, no monthly cap to blow through.

Talent Database

Every applicant you have ever received, searchable with the same filters as your live pipelines — including former-employee and rehire-eligibility flags.

Talent Pools & Medalists

Group and nurture candidates by skill, role, or medalist status. Silver and bronze medalists flow into pools automatically, ready for your next req.

Showing 10 of 131 features

A Note From Our Founder

At my last startup, we primarily used Linkedin and Indeed, an ATS that shall go unnamed that left a lot to be desired, and a variety of bolt-on tools to help fill in the gaps.

Not only was it expensive and cumbersome, we never saw any improvement in the quality of applicants nor the recommendations tools like LinkedIn Recruiter were giving us despite hiring for the same 5 positions for over 4 years.

Why? The sourcing platforms have no idea what happens after a candidate clicks apply. Did they submit their application? Are they even a real human being? Which round did they make it to? What did we rank them on our scorecards? What did the AI screener/notetaker learn? What did they score on skills assessments tests? If we rejected them, why did we reject them, and are they a short-listed candidate we could potentially hire later on? All of this immensely valuable training data was trapped in the ATS and other 3rd party tools we were using.

We saw firsthand with my younger brother the result of this through the job recommendations emails he was getting. My favorite? The one that suggested he apply to be the CTO of a Fortune 500 company right alongside an air traffic controller position at the Dallas airport... and keep in mind this was all pre-AI.

I sold my first startup in April of 2022 and fortunately had a 2-year earn out that allowed us to see the explosion of AI in 2023, which not only had significant implications for us from a technical architecture and development standpoint, but it gave us a front row seat to how much of a negative impact AI has had on recruiting. In the past 3 years, applicant volume has exploded by 543%, time-to-hire increased by 14 days, and the average cost per hire increased by $2,000.

Why? Everyone rushed to bolt AI on top of their existing solutions, simply increasing the volume of what was already broken.

So, we built the hiring platform that should already exist: one system from intake to offer, with a connected jobseeker talent network to facilitate a closed loop of training data that improves the recommendations and quality of outcomes not just for employers but for candidates as well.

I had the business owner experience, not hands on keyboard TA experience, so before a single line of code was written we brought in the best and brightest minds in TA that you see below to help craft what the future of hiring looks like.

Our vision is simple - Hiring Shouldn’t Suck™ - and we get closer and closer to this new reality with your support. I’d love for you to not only see what we’ve built but to have an active hand in what comes next for us. My calendar is always open here.

Brandon Amoroso, Founder and CEO of SCALIS

Brandon Amoroso, brandon@scalis.ai

Founder & CEO

SCALIS is built by Industry Leaders

Donald Knight

Donald Knight

Former CPO at Greenhouse · SVP, People at Warner Bros

Investor / Advisor

Chris Forman

Chris Forman

Board Member at Employ · Founder of Appcast

Investor / Advisor

Pilar Muner

Pilar Muner

VP, People/Talent · ChartHop

Investor / Advisor

Jeremy Lyons

Jeremy Lyons

Co-Founder · RecOps Collective

Investor / Advisor

Mike Greenleaf

Mike Greenleaf

Senior Talent · Paradigm

Investor / Advisor

Sherri Manning

Sherri Manning

Chief People Officer · OLO

Advisor

Taylor Roa

Taylor Roa

Head of Talent · Forus

Advisor

Lizzy Mann

Lizzy Mann

Senior Manager, Recruiting · Upstart

Advisor

Viet Nguyen

Viet Nguyen

Head of TA · AirOps

Advisor

Devin Lari

Devin Lari

Technical Recruiter · Neros

Advisor

Maggie Ark

Maggie Ark

Senior TA · Bounce

Advisor

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