Model Success.
Predict Potential.

A decision-grade scientific signal identifying those most likely to succeed for high-stakes decisions.
COGNITIVE PATTERN257 unique markersLIKELIHOOD TO SUCCEEDPĀ³ = 0.84CONTEXT MODELProven success
Trusted by
IAF
Rafael
HTX
Mafaat
HD
SOSA
42
P
IAF
Rafael
HTX
Mafaat
HD
SOSA
42
P
IAF
Rafael
HTX
Mafaat
HD
SOSA
42
P

From Evaluation to Prediction

Evaluation focuses on
what someone has done
Skills expire. Past performance
fades. Neither predicts potential.
Prediction uncovers what
someone is capable of
Empirical models generate
signals of future success.

Three steps to a
decision-grade signal

01 - MODEL

Model success in your context

We start with your winners.

Glimpse builds neuroscience-grounded models from individuals who have already succeeded in your specific environment - capturing the cognitive patterns that made the difference.
02 - MEASURE

Measure the patterns that drive performance

Each individual is assessed once through a brief, neuroscience-based digital experience - creating a reusable capability pattern.

257 unique markers.
No self-reporting.
Performance-based.

03 - PREDICT

Predict who is most likely to succeed

Glimpse matches each individual's capability pattern against your success model - generating a clear, objective signal of likelihood to succeed.

One assessment.
Any model.
No retesting.

Card
Models
Candidate
Trends

The Powerful Impact of P3:
Predictive Potential Patterns

Industry
BPO
Company size
1,000-5,000
Slashing early dropout in contact centers
48%
Reduction in early dropout
$2.5M
Annual savings projection
Show Details

Slashing early dropout in contact centers

In the Business Process Outsourcing industry, early dropout is a key challenge, with annual attrition ranging between 30-50%.
High turnover drives increased hiring, training and knowledge management costs, with productivity implications that are directly linked to bottom-line business results.
Glimpse partnered with a large BPO provider, to predict the likelihood for early dropout as part of the recruitment process. A predictive model was generated, identifying the likelihood for early attrition (less than 6 months). 129 new hires across three contact centers were tested during their first week on the job. The results were sealed for 8 months, during which 58 of these new employees resigned.
After 8 months the data was accessed, demonstrating astounding results: Had the new hires been selected according to the predictive model, early dropout would have been cut in half!
Industry
BPO
Company size
1,000-5,000
48%
Reduction in early dropout
$2.5M
Annual savings projection
Check out our interactive graph for more details(accessible on desktop / laptop):
Graph
Access to Glimpse's one-stop-shop decision support capabilities
7 of the 32 "low-risk" new hires dropped out within 8 months of starting the job
51 of the 97 "high-risk" new hires dropped out within 8 months of startingĀ  the job
The threshold generated by Glimpse's predictive model, differentiating between the groups with low and high risk of early attrition
Employees predicted to have higher likelihood for retention:
32 of the new hires were determined to have lower risk of early attrition (within 8 months of hire)
Employees predicted to have lower likelihood for retention:
97 of the new hires were determined to have higher risk of early attrition (within 8 months of hire)
Industry
Security
Company size
10,000-50,000
Eliminating bias to drive candidate quality
8.5X
Improvement in role fit
40%
Bias-free diversity gain
91%
Positive user experience
Show Details

Eliminating bias to drive candidate quality

Glimpse supports selection decisions for an elite 3-year-long military training program.Ā The criticality of fit for this role is immense, driving a significant investment in the selection process and in intensive professional training.
Glimpse enables the program to identify both candidates with low likelihood to succeed as well as candidates with high potential for success who might otherwise be missed. This ability to highlight candidates based on their potential for success drives both quality and representation.
The Glimpse assessment captures no demographic or gender data. Selection recommendations are based entirely on cognitive capability patterns. With bias structurally removed from the process, gender representation improved by 40% - not through targeted selection, but as a natural outcome of measuring what actually predicts success.
Following the outcomes of this program over several years demonstrated anĀ >8X increase in the likelihood to succeedĀ of the candidates recommended.
Industry
Security
Company size
10,000-50,000
8.5X
Improvement in role fit
40%
Bias-free diversity gain
91%
Positive user experience
Check out our interactive graph for more details(accessible on desktop / laptop):
Graph
Access to Glimpse's one-stop-shop decision support capabilities
77 of the 443 "high likelihood" candidates ended up completing the training program
3 of the 130 "low likelihood" candidates ended up completing the training program
The threshold generated by Glimpseā€™s predictive model, differentiating between the groups with a low and high likelihood to successfully complete the program
Candidates predicted to have higher likelihood for role fit:
443 candidates were deemed to have higher likelihood to successfully complete the training program
Candidates predicted to have lower likelihood for role fit:
130 candidates were deemed to have lower likelihood to successfully complete the training program
Industry
E-commerce
Company size
1,000-5,000
Enhancing early-career selection
4.1X
Improvement in role fit
88%
Positive user experience
Show Details

Enhancing early-career selection

Glimpse partnered with a leading European e-commerce company to enhance hiring for its Editorial team. As with many early-career roles,Ā potential plays a crucial role in predicting success.
Leveraging insights from the company's existing high-performing editors, Glimpse developed a predictive model that identified candidates with aĀ 4x higher likelihood of succeeding in the role.
This solution not only streamlined the recruitment process,Ā saving valuable timeĀ for the People and Culture team, but also enabled hiring managers to focus their efforts on interviewing the most promising candidates.
Industry
E-commerce
Company size
1,000-5,000
4.1X
Improvement in role fit
88%
Positive user experience
Check out our interactive graph for more details(accessible on desktop / laptop):
Graph
Access to Glimpse's one-stop-shop decision support capabilities
24 of the 73 "high likelihood" candidates were independently identified by the customer as "high-potential" candidates
3 of the 37 "low likelihood" candidates were independently identified by the customer as "high-potential" candidates
The threshold generated by Glimpse's predictive model, differentiating between the groups with low and high likelihood of succeeding in the editorial role.
Candidates predicted to have higher likelihood for role fit:
73 candidates were deemed to have higher likelihood to be successful editors
Candidates predicted to have lower likelihood for role fit:
37 candidates were deemed to have lower likelihood to be successful editors
Testimonials
"We've optimized everything: logistics, operations, finance. People was the last frontier where we were still guessing. Glimpse changed that."
VP Operations
Large Contact Center BPO
"Candidate selection supported by the Glimpse signals of likelihood to succeed boosted our ROI: successful completion rates jumped 400%."
Head of Talent Acquisition
Defense Industry Organization
"With Glimpse, we reduced our management evaluation process from two full days to 1.5 hours."
Head of Behavioral Science Unit
Large Public Sector Organization
Greater Decision Certainty

Greater Decision
Certainty

Signal likelihood to succeed before the commitment - not after the cost.
Reduce risk. Decide with clarity.

Predictive
Advantage

Augment the information you have with an entirely new layer of data. Ground every decision in a scientifically modeled prediction of future success - specific to your context.
Predictive Advantage
Defensible, Consistent Decisions

Defensible, Consistent
Decisions

Every prediction is built from your proven performers - grounded in neuroscience, not opinion. The same methodology,
the same rigor, every time.
Uncover the DNA of your success

The Science
behind the
Signal

Glimpse combines neuroscience-based measurement with machine learning to generate objective predictions of future success.

We measure 250+ unique cognitive and behavioral markers - how individuals make decisions under pressure, adapt to change, learn, and collaborate in real conditions. These are performance-based measurements, not self-reports or questionnaires - capturing what people do, not what they say they do.

From these measurements, we build Predictive Potential Patterns (PĀ³) - success models trained on individuals who have already succeeded in your specific context. These models identify the cognitive patterns that statistically distinguish success from average performance. When applied to new individuals, they produce a decision-grade signal of likelihood to succeed - specific to your organization, your challenge, your definition of success.

Our Values

Prediction over interpretation

We prioritize empirical signals of capability over beliefs or opinions.

Context-specific modeling

We model success based on real-world tailored examples of success.

Decision-grade rigor

People decisions require the same rigor as other business critical decisions.

Fairness through accuracy

Fairness emerges from our objective-by-design methodology, not adjusted standards.

Built for change

We measure capabilities that remain relevant when everything else is shifting.

Augmentation over automation

We deliver rigorous insight to support human judgement - not replace it.

We're here to signal success

Every high-stakes decision about people is a prediction of future success. But the signals most organizations rely on - resumes, interviews, and past performance - that used to predict success no longer do in today's fast-evolving industries. Credentials show what someone has done. Glimpse predicts what they are capable of.

Through a brief neuroscience-based digital experience, Glimpse captures how individuals think, decide and adapt under pressure - with no self-reporting, no prior knowledge required, and bias-neutral by design. From these signals, we model the Predictive Potential Patterns (PĀ³) that distinguish your top performers, creating a reusable capability pattern applicable to any future decision.

The result is a decision-grade signal of likelihood to succeed - before you commit, not after the consequences. Glimpse doesn't replace your judgment or your process. It augments both with the one layer of insight that has always been missing: not what someone has done, but what they are capable of achieving.