www.causalens.com Open in urlscan Pro
18.135.61.17  Public Scan

Submitted URL: https://emails.the-causa-lens-ai.com/Cl?p1=31d505c1-5372-4be0-8989-713f032420e1&p2=291915787
Effective URL: https://www.causalens.com/?_obid=bcba800f-b31f-436f-a8f1-ddda5de8568a
Submission: On December 06 via manual from GB — Scanned from GB

Form analysis 7 forms found in the DOM

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      <div class="CybotCookiebotDialogBodyLevelButtonWrapper"><label class="CybotCookiebotDialogBodyLevelButtonLabel" for="CybotCookiebotDialogBodyLevelButtonNecessary"><span
            class="CybotCookiebotDialogBodyLevelButtonDescription">Necessary</span></label>
        <div class="CybotCookiebotDialogBodyLevelButtonSliderWrapper CybotCookiebotDialogBodyLevelButtonSliderWrapperDisabled"><input type="checkbox" id="CybotCookiebotDialogBodyLevelButtonNecessary"
            class="CybotCookiebotDialogBodyLevelButton CybotCookiebotDialogBodyLevelButtonDisabled" disabled="disabled" checked="checked"> <span class="CybotCookiebotDialogBodyLevelButtonSlider"></span></div>
      </div>
      <div class="CybotCookiebotDialogBodyLevelButtonWrapper"><label class="CybotCookiebotDialogBodyLevelButtonLabel" for="CybotCookiebotDialogBodyLevelButtonPreferences"><span
            class="CybotCookiebotDialogBodyLevelButtonDescription">Preferences</span></label>
        <div class="CybotCookiebotDialogBodyLevelButtonSliderWrapper"><input type="checkbox" id="CybotCookiebotDialogBodyLevelButtonPreferences" class="CybotCookiebotDialogBodyLevelButton CybotCookiebotDialogBodyLevelConsentCheckbox"
            data-target="CybotCookiebotDialogBodyLevelButtonPreferencesInline" checked="checked" tabindex="0"> <span class="CybotCookiebotDialogBodyLevelButtonSlider"></span></div>
      </div>
      <div class="CybotCookiebotDialogBodyLevelButtonWrapper"><label class="CybotCookiebotDialogBodyLevelButtonLabel" for="CybotCookiebotDialogBodyLevelButtonStatistics"><span
            class="CybotCookiebotDialogBodyLevelButtonDescription">Statistics</span></label>
        <div class="CybotCookiebotDialogBodyLevelButtonSliderWrapper"><input type="checkbox" id="CybotCookiebotDialogBodyLevelButtonStatistics" class="CybotCookiebotDialogBodyLevelButton CybotCookiebotDialogBodyLevelConsentCheckbox"
            data-target="CybotCookiebotDialogBodyLevelButtonStatisticsInline" checked="checked" tabindex="0"> <span class="CybotCookiebotDialogBodyLevelButtonSlider"></span></div>
      </div>
      <div class="CybotCookiebotDialogBodyLevelButtonWrapper"><label class="CybotCookiebotDialogBodyLevelButtonLabel" for="CybotCookiebotDialogBodyLevelButtonMarketing"><span
            class="CybotCookiebotDialogBodyLevelButtonDescription">Marketing</span></label>
        <div class="CybotCookiebotDialogBodyLevelButtonSliderWrapper"><input type="checkbox" id="CybotCookiebotDialogBodyLevelButtonMarketing" class="CybotCookiebotDialogBodyLevelButton CybotCookiebotDialogBodyLevelConsentCheckbox"
            data-target="CybotCookiebotDialogBodyLevelButtonMarketingInline" checked="checked" tabindex="0"> <span class="CybotCookiebotDialogBodyLevelButtonSlider"></span></div>
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  </fieldset>
</form>

<form><input type="checkbox" id="CybotCookiebotDialogBodyLevelButtonNecessaryInline" class="CybotCookiebotDialogBodyLevelButton CybotCookiebotDialogBodyLevelButtonDisabled" disabled="disabled" checked="checked"> <span
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<form><input type="checkbox" id="CybotCookiebotDialogBodyLevelButtonPreferencesInline" class="CybotCookiebotDialogBodyLevelButton CybotCookiebotDialogBodyLevelConsentCheckbox" data-target="CybotCookiebotDialogBodyLevelButtonPreferences"
    checked="checked" tabindex="0"> <span class="CybotCookiebotDialogBodyLevelButtonSlider"></span></form>

<form><input type="checkbox" id="CybotCookiebotDialogBodyLevelButtonStatisticsInline" class="CybotCookiebotDialogBodyLevelButton CybotCookiebotDialogBodyLevelConsentCheckbox" data-target="CybotCookiebotDialogBodyLevelButtonStatistics"
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<form><input type="checkbox" id="CybotCookiebotDialogBodyLevelButtonMarketingInline" class="CybotCookiebotDialogBodyLevelButton CybotCookiebotDialogBodyLevelConsentCheckbox" data-target="CybotCookiebotDialogBodyLevelButtonMarketing" checked="checked"
    tabindex="0"> <span class="CybotCookiebotDialogBodyLevelButtonSlider"></span></form>

GET https://www.causalens.com/

<form role="search" method="get" class="search-form" action="https://www.causalens.com/">
  <label>
    <span class="screen-reader-text">Search for:</span>
    <input type="search" class="search-field" placeholder="Search …" value="" name="s">
  </label>
  <input type="submit" class="search-submit" value="Search">
</form>

POST https://forms.hsforms.com/submissions/v3/public/submit/formsnext/multipart/3400903/6899b2cd-9ce4-4590-9a28-5eb73ccd5c59

<form id="hsForm_6899b2cd-9ce4-4590-9a28-5eb73ccd5c59" method="POST" accept-charset="UTF-8" enctype="multipart/form-data" novalidate=""
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  target="target_iframe_6899b2cd-9ce4-4590-9a28-5eb73ccd5c59" data-instance-id="69b84a06-4918-4478-ac3a-f9855427af05" data-form-id="6899b2cd-9ce4-4590-9a28-5eb73ccd5c59" data-portal-id="3400903">
  <fieldset class="form-columns-2">
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        for="firstname-6899b2cd-9ce4-4590-9a28-5eb73ccd5c59"><span>First Name</span><span class="hs-form-required">*</span></label>
      <legend class="hs-field-desc" style="display: none;"></legend>
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          name</span></label>
      <legend class="hs-field-desc" style="display: none;"></legend>
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      <legend class="hs-field-desc" style="display: none;"></legend>
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        <legend class="hs-field-desc" style="display: none;"></legend>
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        for="utm_campaign-6899b2cd-9ce4-4590-9a28-5eb73ccd5c59"><span>utm_campaign</span></label>
      <legend class="hs-field-desc" style="display: none;"></legend>
      <div class="input"><input name="utm_campaign" class="hs-input" type="hidden" value=""></div>
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  </fieldset>
  <fieldset class="form-columns-1">
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        for="utm_medium-6899b2cd-9ce4-4590-9a28-5eb73ccd5c59"><span>utm_medium</span></label>
      <legend class="hs-field-desc" style="display: none;"></legend>
      <div class="input"><input name="utm_medium" class="hs-input" type="hidden" value=""></div>
    </div>
  </fieldset>
  <fieldset class="form-columns-1">
    <div class="hs_utm_source hs-utm_source hs-fieldtype-text field hs-form-field" style="display: none;"><label id="label-utm_source-6899b2cd-9ce4-4590-9a28-5eb73ccd5c59" class="" placeholder="Enter your utm_source"
        for="utm_source-6899b2cd-9ce4-4590-9a28-5eb73ccd5c59"><span>utm_source</span></label>
      <legend class="hs-field-desc" style="display: none;"></legend>
      <div class="input"><input name="utm_source" class="hs-input" type="hidden" value=""></div>
    </div>
  </fieldset>
  <fieldset class="form-columns-1">
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        for="utm_term-6899b2cd-9ce4-4590-9a28-5eb73ccd5c59"><span>utm_term</span></label>
      <legend class="hs-field-desc" style="display: none;"></legend>
      <div class="input"><input name="utm_term" class="hs-input" type="hidden" value=""></div>
    </div>
  </fieldset>
  <fieldset class="form-columns-1">
    <div class="legal-consent-container">
      <div class="hs-richtext">
        <p>By submitting your information, you agree to our <a href="https://www.causalens.com/privacy-policy/" target="_blank" rel="noopener">Privacy Policy</a>.</p>
      </div>
    </div>
  </fieldset>
  <div class="hs_submit hs-submit">
    <div class="hs-field-desc" style="display: none;"></div>
    <div class="actions"><input type="submit" class="hs-button primary large" value="Submit"></div>
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</form>

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THIS WEBSITE USES COOKIES

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and to analyse our traffic. We also share information about your use of our site
with our social media, advertising and analytics partners who may combine it
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Necessary 13

Necessary cookies help make a website usable by enabling basic functions like
page navigation and access to secure areas of the website. The website cannot
function properly without these cookies.
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CookieConsentStores the user's cookie consent state for the current domain
Expiry: 1 yearType: HTTP
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laravel_sessionThis cookie is used internally by the website’s owners, when
uploading or renewing website content.
Expiry: 1 dayType: HTTP
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test_cookieUsed to check if the user's browser supports cookies.
Expiry: 1 dayType: HTTP
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embed/v3/counters.gif [x2]Used to implement forms on the website.
Expiry: SessionType: Pixel
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li_gcStores the user's cookie consent state for the current domain
Expiry: 179 daysType: HTTP
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JSESSIONIDPreserves users states across page requests.
Expiry: SessionType: HTTP
info.causalens.com
1
__cfruidThis cookie is a part of the services provided by Cloudflare - Including
load-balancing, deliverance of website content and serving DNS connection for
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Expiry: 399 daysType: HTTP
Statistics 27

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visited the website as well as dates for the first and most recent visit.
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_hjAbsoluteSessionInProgressThis cookie is used to count how many times a
website has been visited by different visitors - this is done by assigning the
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_hjIncludedInPageviewSampleUsed to detect whether the user navigation and
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Expiry: 1 dayType: HTTP
_hjIncludedInSessionSampleRegisters data on visitors' website-behaviour. This is
used for internal analysis and website optimization.
Expiry: 1 dayType: HTTP
_hjSession_#Collects statistics on the visitor's visits to the website, such as
the number of visits, average time spent on the website and what pages have been
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Expiry: 1 dayType: HTTP
_hjSessionUser_#Collects statistics on the visitor's visits to the website, such
as the number of visits, average time spent on the website and what pages have
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_hjTLDTestRegisters statistical data on users' behaviour on the website. Used
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ln_orRegisters statistical data on users' behaviour on the website. Used for
internal analytics by the website operator.
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AnalyticsSyncHistoryUsed in connection with data-synchronization with
third-party analysis service.
Expiry: 29 daysType: HTTP
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events/1/#Used to monitor website performance for statistical purposes.
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jserrors/1/#Pending
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sliguidContains an visitor ID - This is used to track visitors' navigation and
interaction on the website for internal website-optimization.
Expiry: 1 yearType: HTTP
slirequestedContains an visitor ID - This is used to track visitors' navigation
and interaction on the website for internal website-optimization.
Expiry: 1 yearType: HTTP
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vuidCollects data on the user's visits to the website, such as which pages have
been read.
Expiry: 399 daysType: HTTP
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Jump to:
 * Introduction
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1 December 2022 causaLens is attending AI & Big Data Expo causaLens is attending
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CAUSAL AI:
AI
 * ASSET MANAGERS
 * GOVERNMENTS
 * BANKS
 * MARKETERS
 * INVESTORS
 * INSURERS
 * AGENCIES
 * DECISION-MAKERS

CAN TRUST

causaLens develops decision-making AI
that organizations trust.

Request a demo



TRUSTED BY LEADING ORGANIZATIONS

 * 
 * 
 * 
 * 
 * 
 * 

CAUSALENS IS THE PIONEER OF CAUSAL AI — A NEW CATEGORY OF INTELLIGENT MACHINES
THAT REASON ABOUT THE WORLD THE WAY HUMANS DO, THROUGH CAUSE-AND-EFFECT
RELATIONSHIPS AND WITH IMAGINATION.


WHY CAUSAL AI

Causal AI goes beyond standard predictive analytics, directly augmenting human
decision-making. Its recommendations are intrinsically explainable, reliable in
real-world scenarios, and sensitive to business and governance constraints.

 

 


WE HAVE A VISION OF A SOCIETY POWERED BY CAUSAL AI

Learn more about our vision



DECISIONOS

Turn raw data into optimized decisions.

decisionOS is the operating system for trusted enterprise decision-making
powered by Causal AI.

Learn More
Create decision workflows
Build Causal AI Models
Identify valuable data


ENTERPRISE DECISION-MAKING AI LEVELS

AI maturity is a critical determinant of success in almost every industry. A
chasm is opening between early and late adopters. Leading organizations use
traditional AI to find solutions to business-critical problems, but their
challenges cannot be solved with standard correlation-based machine learning.
Forward-thinking organizations are turning to Causal AI.


Level 0 Level 1 Level 2 Level 3

Level 0


NO AI

The organization doesn’t use artificial intelligence to make decisions. Most
organizations are stuck at L0. AI is confined to data science experiments and
has no impact on real decision-making. The limitations of standard machine
learning technology are to blame.

 

Core problems include a lack of adaptability to real-world dynamics, and a lack
of explainability. Data scientists may attempt to implement “post hoc
explainability” methods, but these methods do not produce actionable insights. 

There are many other limitations of standard machine learning (see L1). However,
these two mean that business decision-makers do not trust AI systems
sufficiently to let them out of the lab. Read up on the shortfalls of current
state-of-the-art AI here. 

Organizations stuck at L0 are wasting resources on AI investment which has zero
impact.



Level 1


CORRELATION-BASED AI

AI is deployed in a narrow range of use cases across the organization and may
factor in some real decision-making. Fewer than one in ten organizations have
reached L1. They can begin to participate in some of the benefits of AI.
However, at L1 the organization is still frustrated with its AI systems, which
have minimal impact on significant decisions. 

Machine learning technology is again responsible. The core problems at L1
include:

Lack of adaptability and explainability. The key problems at L0 remain, but at
L1 organizations cope with these problems by deploying AI in low-stakes
contexts. 

Predictions only. Conventional machine learning models are only suitable for
making predictions. They can’t meaningfully help with decision-making, which
requires a model of how interventions impact an environment. 

Need for big data. Machine learning techniques and open-source software
developed by big tech are designed for data-intensive problems. They have little
transferable applicability to most industries which need to work with small
data. Enterprise AI platforms simply automate open-source software that is not
designed for the enterprise. 

Limited human-machine interaction. Users can direct machine learning algorithms
to focus on certain variables, but that’s where interaction begins and ends.
They can’t convey context to the AI or constrain its assumptions.

Fairness. Machine learning algorithms amplify human biases and perpetuate
historical injustices. This creates ethical, legal, and reputational
liabilities.  

These shortcomings of machine learning severely limit the range of applications
of AI. Decision-makers do not trust them to assist with important decisions. At
L1, AI has no impact on most stakeholders and their decisions.



Level 2


CAUSAL AI

The organization harnesses Causal AI, the only technology that learns and
reasons about the world as humans do. Causal AI has three key pillars: an
ability to learn cause-and-effect relationships; the capability to simulate
interventions; and a computer imagination that can reason beyond the constraints
of historical data. Causal AI is the only AI that decision-makers can trust. 

While L1 technology is essentially a form of “pattern-matching” or “curve
fitting”, L2 technology is genuinely intelligent. 

Causal AI provides:

Intrinsic explainability. Causal AI can explain why it took a decision in
human-friendly terms. The assumptions behind the model can be scrutinized,
constrained, and corrected by humans before the model is fully trained. This
reinforces trust that the model will perform as expected in production. Read
more here. 

Adaptability to regime shifts. Causal AI continuously discovers invariant
relationships that tend to hold over time, and so it can be relied on to make
sound decisions even as the world changes. Learn more here. 

Optimal decision-making. The AI can go beyond predictions and directly take
decisions and make recommendations. The most mature Causal AI systems are
capable of autonomously optimizing for abstract business goals and KPIs
(autoKPI™). View our product pages here. 

Human-machine interface. Causal AI keeps humans in the loop — users can
communicate business context to the AI, shaping the way the algorithm “thinks”
via a shared language of causality. Read up on how Causal AI empowers experts
here. 

Small data handling. Causal AI autonomously finds the critical information in
limited data and harnesses human knowledge, allowing it to make recommendations
with small datasets that are ubiquitous in business and government. Find out
more from our blog. 

Algorithmic fairness. Causal AI can envision futures that are decoupled from
historical data, enabling users to eliminate biases in input data. Causal AI
empowers humans to impose fairness constraints before models are deployed. Read
more in this article. 

These breakthrough capabilities enable Causal AI to make trustworthy decisions
in applied settings. This is what’s needed to take AI from the lab to the field
where it can make an impact and unlock enormous value.

 



Level 3


AGI

The enterprise is controlled by an Artificial General Intelligence (AGI) — a
general-purpose technology at least as intelligent as humans. Higher causal
reasoning is a defining feature of human cognition — equipping machines with
this ability is a necessary condition for reaching AGI. L3 is beyond the
technological horizon for now — we estimate it is some decades away.

If reached, we envision AGI having a dramatic impact on businesses.
Unconstrained by biological substrate, an AGI’s digital mind may innovate,
strategize, and execute on superhuman timescales. There may be a
“winner-takes-all” effect for companies that first reach L3. The current
economic development model may change beyond recognition.   

 




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