Causal AI Decision-Making Platform
causaLens are the pioneers of Causal AI, a giant leap in machine intelligence. We build Causal AI powered products that are trusted by leading organizations across industries. Our No Code Causal AI Platform empowers all types of users to make informed decisions through an intuitive user interface.
Features
- Decision apps bridge the gap between predictions and business decisions
- Human machine partnerships enabled to build trust in AI
- Autonomously identify the cause and effect relationships for your KPIs
- causaLab is the most powerful causal model building technology
- Analyse and make real time decisions using the causaLens AI
- Build intuitive Decision Apps using our no code interface
- causaLens' cutting edge R&D is immediately available for use
- 40+ proprietary algorithms for causal AI available in the platform
- AI models built on cause and effect for full explainability
- Intelligently uncover the most valuable data for any use case
Benefits
- Build trusted AI models through discovered causal relationships in data
- Enhance business optimisation through discovery of valuable external data
- Optimise decision making and planning with scenarios and simulations
- Configurable business constraints and objectives directly into the AI predictions
- Optimise high value KPIs to move beyond predictions
- Enable trusted, data driven, decision making through Explainable AI models
- Embed domain expertise for human in the loop AI
- Increase AI adoption through explainable and trusted models
- Data driven decisions through interactive dashboards
- Re-imagine counterfactual worlds to optimise every business KPI
Pricing
£50,000.00 a licence a year
Service documents
Request an accessible format
Framework
G-Cloud 13
Service ID
8 3 7 9 0 1 2 3 5 2 0 0 5 2 5
Contact
causaLens
causaLens Team
Telephone: 07909541181
Email: info@causalens.com
Service scope
- Software add-on or extension
- No
- Cloud deployment model
-
- Public cloud
- Private cloud
- Service constraints
-
Monthly maintenance windows are used for deploying updates with downtime outside of working hours, with interruptions to service kept to a minimum. Services are monitored to identify when service limits are being reached, with additional deployments on demand able to address and scaling needs.
Support hours are UK Office hours, 9:00-17:00 weekdays - System requirements
-
- 4 CPU cores
- 32GB of RAM
User support
- Email or online ticketing support
- Email or online ticketing
- Support response times
- Within 1 business day for all incidents during weekdays.
- User can manage status and priority of support tickets
- No
- Phone support
- Yes
- Phone support availability
- 9 to 5 (UK time), Monday to Friday
- Web chat support
- Web chat
- Web chat support availability
- 9 to 5 (UK time), Monday to Friday
- Web chat support accessibility standard
- None or don’t know
- How the web chat support is accessible
- Web chats are accessible via web browser with use of configurable fonts, size and colour.
- Web chat accessibility testing
- None at present - planned later in 2022/23.
- Onsite support
- Yes, at extra cost
- Support levels
-
Support and maintenance is included in the cost of the service with all support requests treated as priority.
Support hours are UK Office hours, 9:00-17:00 weekdays, maintenance windows will be schedule as much as possible to fall outside of these support hours.
All technical queries are handled through the Account management team. - Support available to third parties
- Yes
Onboarding and offboarding
- Getting started
-
A kick off meeting is held within the first week of the engagement to ensure stakeholders are aligned to the objectives and clarity on the plan provided. Weekly calls, held over video conferencing, take place to review progress and provide end users with the opportunity to understand the progress and visualise the use of the platform and developing decision apps. Training needs are agreed and documented during the first 2 months of the engagement and executed by the causaLens team - this includes training on the use of the platform, the decision apps and on causal AI
For data scientists, user documentation for causaLab is provided as a link in the data science platform cloud instance. - Service documentation
- Yes
- Documentation formats
- HTML
- End-of-contract data extraction
- Data uploaded on the cloud instance can be accessed through the user interface or through an API. Modelling output from decision apps can be exported in a bespoke manner upon request
- End-of-contract process
-
Customer Data available to customer for electronic retrieval for a period of sixty (60) days after the end of the contract, but thereafter causaLens will delete stored Customer Data.
Access to the platform and any decision apps will cease at the contract end date.
Using the service
- Web browser interface
- Yes
- Supported browsers
-
- Firefox
- Chrome
- Safari
- Application to install
- No
- Designed for use on mobile devices
- No
- Service interface
- Yes
- User support accessibility
- None or don’t know
- Description of service interface
-
Decision Apps are used through a web application interface. Each decision app consists of a number of tabs that enable users to understand the causal diagram, run what-if/scenario analysis and make informed predictions.
causaLab can be used through either a web interface or an API connecting to Python notebooks, enabling end users to run causal discovery and build causal models. - Accessibility standards
- None or don’t know
- Description of accessibility
-
Users are able to use the interface to interact with the causal diagrams, configure scenarios using sliders or user input fields and one-click buttons to run pre-configured scenarios and predictions.
Standard web browser accessibility features are able to be used - increasing font size, zoom, amending interface colours and sizes of fonts. - Accessibility testing
- None at present - planned later in 2022/23.
- API
- Yes
- What users can and can't do using the API
-
Data scientists can use the API to directly interact with causal models on the causaLab platform. the API is called from within Python or Jupyter notebooks using a provided API client package. Customers can utilise causal algorithms available on the platform to build and execute models.
Customers can amend models using the API to enhance the model. - API documentation
- Yes
- API documentation formats
- HTML
- API sandbox or test environment
- No
- Customisation available
- Yes
- Description of customisation
-
Decision apps are developed in conjunction with end users and training on these can be provided as needed.
The structure, content of each screen and look and feel of the app can be customised by the development team, aligning to user requirements. Users can add new data, provide domain expertise into the causal model and one-click run scenarios and predictions to customise the output of the apps.
Scaling
- Independence of resources
-
The application can be scaled on demand: it has a scalable worker mechanism which is used to offload data processing and user load.
Different organisations are segregated into their own instances to prevent service impacts from extensive usage.
Analytics
- Service usage metrics
- Yes
- Metrics types
- Statistics on the CPU, RAM and Disk usage of the service is available on the platform for access by end users. End user analytics is also available e.g. number of logins and by whom.
- Reporting types
- Regular reports
Resellers
- Supplier type
- Not a reseller
Staff security
- Staff security clearance
- Other security clearance
- Government security clearance
- Up to Security Clearance (SC)
Asset protection
- Knowledge of data storage and processing locations
- Yes
- Data storage and processing locations
-
- United Kingdom
- European Economic Area (EEA)
- Other locations
- User control over data storage and processing locations
- Yes
- Datacentre security standards
- Complies with a recognised standard (for example CSA CCM version 3.0)
- Penetration testing frequency
- At least once a year
- Penetration testing approach
- ‘IT Health Check’ performed by a Tigerscheme qualified provider or a CREST-approved service provider
- Protecting data at rest
-
- Physical access control, complying with CSA CCM v3.0
- Encryption of all physical media
- Data sanitisation process
- Yes
- Data sanitisation type
-
- Explicit overwriting of storage before reallocation
- Deleted data can’t be directly accessed
- Equipment disposal approach
- In-house destruction process
Data importing and exporting
- Data export approach
- Data uploaded on the cloud instance can be accessed through the user interface or through an API. Modelling output from decision apps can be exported in pdf or csv format on request via email and will be returned within 14 working days.
- Data export formats
- CSV
- Data import formats
- CSV
Data-in-transit protection
- Data protection between buyer and supplier networks
-
- TLS (version 1.2 or above)
- IPsec or TLS VPN gateway
- Data protection within supplier network
- TLS (version 1.2 or above)
Availability and resilience
- Guaranteed availability
-
99% monthly uptime outside of scheduled maintenance events.
For each period of downtime lasting longer than four hours, causaLens will credit Customer 5% of Service fees for each period of 4 or more consecutive hours of downtime; provided that no more than one such credit will accrue per day. - Approach to resilience
- Service can be deployed across 3 availability zones, load-balancing and allowing traffic migration between zones. Service is also designed to be restored from backups in under an hour, and raw data in under 5 hours
- Outage reporting
-
Internal monitoring dashboards are provided, along with email alerts.
External alerts to users is provided through email by account support personnel
Identity and authentication
- User authentication needed
- Yes
- User authentication
-
- 2-factor authentication
- Limited access network (for example PSN)
- Dedicated link (for example VPN)
- Username or password
- Access restrictions in management interfaces and support channels
- Users access is restricted using role based access controls to functionality - this is managed by the causaLens admin team. Resource access policies limit the access to data to specific users based on their agreed access rights which are agreed during the rollout planning phase.
- Access restriction testing frequency
- At least once a year
- Management access authentication
-
- 2-factor authentication
- Identity federation with existing provider (for example Google Apps)
- Dedicated link (for example VPN)
Audit information for users
- Access to user activity audit information
- Users contact the support team to get audit information
- How long user audit data is stored for
- Between 6 months and 12 months
- Access to supplier activity audit information
- Users contact the support team to get audit information
- How long supplier audit data is stored for
- Between 6 months and 12 months
- How long system logs are stored for
- At least 12 months
Standards and certifications
- ISO/IEC 27001 certification
- No
- ISO 28000:2007 certification
- No
- CSA STAR certification
- No
- PCI certification
- No
- Cyber essentials
- No
- Cyber essentials plus
- No
- Other security certifications
- No
Security governance
- Named board-level person responsible for service security
- Yes
- Security governance certified
- No
- Security governance approach
- Industry standard SOC2 and ISO27001 accreditation is being progressed - these are expected to complete in Q2 2022.
- Information security policies and processes
-
CausaLens follows the same structure as required for SOC2/ISO27001 for information security policies and processes.
The policies cover all aspects of technology use within the company. Staff review and confirm acceptance of all policies during onboarding.
Operational security
- Configuration and change management standard
- Supplier-defined controls
- Configuration and change management approach
-
Service component health is tracked and evaluated on a daily basis as part of the standard development cycle.
Changes to services are evaluated through initial review as well as static and dynamic scans. Testing is undertaken at each release to maintain standards and test for functional, technical and security breaches. - Vulnerability management type
- Supplier-defined controls
- Vulnerability management approach
-
System design phase includes threat modeling, which is repeated at each release.
Penetration testing is performed at least annually and after every major service update. Threats are sourced from NVD and CVE databases and included in dependency scans.
Engineering and support resources from causaLens deploy patches and fixes to remedy vulnerabilities on a priority basis where required. - Protective monitoring type
- Supplier-defined controls
- Protective monitoring approach
- Service deployments are managed with logs being monitored for potential vulnerabilities. Incidents when detected are responded to by engineering and support resources in accordance with our incident response policy with priority for significant vulnerabilities.
- Incident management type
- Supplier-defined controls
- Incident management approach
- Incident management process cover common events, including security, disruption and service interruption. Incidents are reported either to the Information Security Forum, the CTO or CEO directly. Incident reports follow a predefined template and are logged in a central repository to support the process of investigation. Where incidents are identified by end users, they can be reported to their dedicated causaLens account team.
Secure development
- Approach to secure software development best practice
- Conforms to a recognised standard, but self-assessed
Public sector networks
- Connection to public sector networks
- No
Social Value
- Fighting climate change
-
Fighting climate change
Our organisation has helped to enhance the global drive to net zero. For example, we have optimised logistics and supply chains, reducing the number of trucks and aircraft used to transport goods. This resulted in large reductions in CO2 emissions and other pollutants.
causaLens will work collaboratively with your supply chain to deliver environmental benefits and work towards net zero. - Covid-19 recovery
-
Covid-19 recovery
causaLens has helped a G7 government to understand the drivers of vaccine hesitancy, and thus improve the effectiveness of their vaccination campaigns, reducing the number of infections and illness.
In addition, we are helping retailers to quickly adapt their business to the rapidly changing commercial environment. In times of crisis such as the Covid-19 pandemic, the demand for products changes wildly, as we have seen with consumer goods and mask shortages.
One of the innovations we delivered is the ability to algorithmically identify the causal drivers behind demand trends, and to model changing circumstances such as the eventuality of another lockdown, or a change in government policy. This helps retailers minimise product shortages and maintain adequate volumes of stock, resulting in a drastic, positive impact on their customers and helping retailers maintain their financial robustness. - Equal opportunity
-
Equal opportunity
causaLens is committed to promoting a diverse and inclusive environment that promotes equality of opportunity for everyone – a place where we are united in the commitment to scientific and operational excellence, that helps us to find and express ourselves and thrive to success.
Our vision is to create an environment where everyone feels like the place where a mixture of race, gender, sexual orientation, religion, ethnicity, national origin, disability, age and all other unique characteristics are celebrated.
Pricing
- Price
- £50,000.00 a licence a year
- Discount for educational organisations
- No
- Free trial available
- Yes
- Description of free trial
- Trial access to pre-built Decision Apps in the app store can be provided on request
- Link to free trial
- https://www.causalens.com/causal-ai-decision-apps/