Alva Labs

Alva Labs Use Alva to scientifically assess a candidate’s real-life skills, team fit, personality, and logic ability.

28/09/2026

"It's like jumping into the future."

On 23 September, Olivier Sibony and Paul Sackett took the stage at MOTM 2026 at Cirkus in Stockholm. Then we launched Alva's Agentic Hiring System and showed it to a room full of HR and talent leaders.

Straight after, we asked them what they thought. Everything was unscripted and filmed on the spot.

One guest summed it up: "We get to become experts again at recruitment."

Another left curious to see how it could make her TA team's life easier.

That reaction matters most to us. It's an agentic system built on validated science, and people still make the final decision.

Missed Cirkus? On Friday 16 October, we're walking through the system in our launch webinar. Sign up here: https://hubs.ly/Q04yq-ZF0

Speaker two: Paul Sackett.Professor at the University of Minnesota and one of the field's most cited voices on selection...
20/08/2026

Speaker two: Paul Sackett.

Professor at the University of Minnesota and one of the field's most cited voices on selection.

His work answers a blunt question: which hiring methods actually predict performance?

At MOTM, he walks you through fifty years of data. You'll leave knowing which methods your team is likely underusing, and why the evidence says that matters.

23 September · Cirkus, Stockholm · Request a key: https://www.alvalabs.io/motm-2026

Speaker one: Olivier Sibony.Co-author of Noise with Nobel laureate Daniel Kahneman. Professor at HEC Paris.He has spent ...
19/08/2026

Speaker one: Olivier Sibony.

Co-author of Noise with Nobel laureate Daniel Kahneman. Professor at HEC Paris.

He has spent his career on a quiet problem: two people looking at the same evidence, reaching different conclusions. It happens in courtrooms, hospitals, and boardrooms. It happens in every interview panel you've ever run.

At MOTM, he gives you the framework to see exactly where this variability enters your process, and the structure to reduce it.

23 September · Cirkus, Stockholm · Request a key: https://www.alvalabs.io/motm-2026

18/08/2026

The two most cited researchers in hiring science. One stage. One day.

Olivier Sibony and Paul Sackett are speaking at MOTM 2026 on September 23. We'll introduce each of them properly over the coming days.

23 September · Cirkus, Stockholm

Entry is by key only. Request key: https://www.alvalabs.io/motm-2026

Most hiring decisions carry more noise than we admit. Two interviewers, same candidate, different conclusions. Fifty yea...
13/08/2026

Most hiring decisions carry more noise than we admit. Two interviewers, same candidate, different conclusions.

Fifty years of evidence points to a better way to predict performance.

On September 23, the two researchers behind that evidence share one stage for the first time.

MOTM 2026: A Meeting of the Minds. Cirkus, Stockholm.

Entry is by key only. Request a key here: https://www.alvalabs.io/motm-2026

Built for recruiters. Loved by hiring managers.No ATS has cracked hiring manager adoption in 30 years.We did.
11/07/2026

Built for recruiters. Loved by hiring managers.

No ATS has cracked hiring manager adoption in 30 years.

We did.

TA keeps getting asked to do more with less. Here's where to put the energy this fall. 3 moves. Swipe ->
10/07/2026

TA keeps getting asked to do more with less. Here's where to put the energy this fall. 3 moves. Swipe ->

09/07/2026

Still relying on gut feeling to predict job performance? Paul Sackett has spent decades studying what really predicts it.

🎙️ Full episode on our website

AI elevates the team. The judgment, the relationships, the decisions stay human. Alva handles the rest.
08/07/2026

AI elevates the team. The judgment, the relationships, the decisions stay human. Alva handles the rest.

Mathias Cedervall Timell (Legora) shared his mental model, and it's the clearest model we've heard. Swipe through each s...
07/07/2026

Mathias Cedervall Timell (Legora) shared his mental model, and it's the clearest model we've heard. Swipe through each step ->

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