DataRobot
DataRobot accelerates your AI success by putting the power of cutting-edge machine learning technology into the hands of the team you already have in place. The platform incorporates the knowledge, experience, and best practices of the world’s leading data scientists, delivering unmatched levels of automation, accuracy, transparency, and collaboration.
Features
- Simultaneously recommends optimal algorithms by analysing your data
- Leverages the latest global open source machine learning libraries
- H2O, Tensor-Flow, Vowpal Wabbit, Spark ML, XG Boost
- Data model evaluation using dynamic built-in tools and visualisations
- Automated feature engineering transforms features for optimal results
- Time aware forecasting to automatically predict seasonality
- Incorporates advanced proprietary techniques ensures optimal performance
- such as boosting, bagging, random forests, kernel methods, deep learning
- Model explainability using best in class shapley analysis
- Scalable performance via parallel processing and challenger functionality
Benefits
- At scale automation of your data science capability increases productivity
- Built in guardrails enforce consistent best practice in model development
- Robust model management governance and control built in
- Automated model compliance documentation for quick production deployments
- Works with enterprise data in databases, LakeHouse, Hadoop or BLOBS
- Transparency and Explainability to prove model provenance
- Collaborative, unified cross functional platform
- Highly accurate model selection based on global data mining algorithms
- Data science models are continously challenged for accuracy and drift
Pricing
£75,000 a licence a year
- Free trial available
Service documents
Request an accessible format
Framework
G-Cloud 14
Service ID
6 7 2 8 6 9 3 7 0 7 1 9 0 7 4
Contact
Bulien LLP
Bulien - Machine Learning, AI, ETL, Data blend, Predictive Analytics, Data Warehousing, Cloud Services
Telephone: 02039621778
Email: admin@bulien.com
Service scope
- Software add-on or extension
- No
- Cloud deployment model
-
- Public cloud
- Private cloud
- Community cloud
- Hybrid cloud
- Service constraints
- Ingest of up to 20GB training datasets provides large-scale modeling capabilities. When enabled, file ingest limit is increased from 10GB to 20GB. Ingest of up to 20GB training data is preview feature, off by default.
- System requirements
-
- Managed AI Cloud
- Hybrid AI Cloud
- Private AI Cloud
- On premises AI cluster
- Can be installed on Linux server
- Can be installed on existing Hadoop cluster
User support
- Email or online ticketing support
- Email or online ticketing
- Support response times
- This differs depending on the support packages purchased and the levels of criticality experienced.
- User can manage status and priority of support tickets
- Yes
- Online ticketing support accessibility
- WCAG 2.1 AA or EN 301 549
- Phone support
- Yes
- Phone support availability
- 9 to 5 (UK time), Monday to Friday
- Web chat support
- No
- Onsite support
- Yes, at extra cost
- Support levels
-
This depends on client requirements. SLA's are agreed on an individual basis. Every client is given a dedicated account manager.
SEVERITY- INITIAL RESPONSE TARGET & UPDATE FREQUENCY TARGET
Severity 1 Within 1 hour Continuous effort with written updates every 4 hours
Severity 2 Within 2 Business Hours Updated every Business Day
Severity 3 Within 8 Business Hours Updated every 3 Business Days
Severity 4 Within 2 Business Days N/A, feature request - Support available to third parties
- Yes
Onboarding and offboarding
- Getting started
- Comprehensive on site and digital training is available via the DataRobot University complemented by dedicated support from Bulien customer facing data scientists. CFDS. Documentation is provided digitally.
- Service documentation
- Yes
- Documentation formats
-
- HTML
- ODF
- Other
- Other documentation formats
- Word
- End-of-contract data extraction
- DataRobot provides open export routines to allow data ingested into all models to be extracted at will.
- End-of-contract process
- DataRobot is an annual up front subscription and is priced depending on the number of of models and complexity of the workloads being developed in the system. Each package provides a bundle which can be scaled up or down.
Using the service
- Web browser interface
- Yes
- Supported browsers
-
- Internet Explorer 11
- Microsoft Edge
- Firefox
- Chrome
- Safari
- Opera
- Application to install
- Yes
- Compatible operating systems
-
- Android
- IOS
- Linux or Unix
- MacOS
- Windows
- Windows Phone
- Designed for use on mobile devices
- No
- Service interface
- Yes
- User support accessibility
- WCAG 2.1 AA or EN 301 549
- Description of service interface
- DataRobot performs service maintenance regularly. Although most maintenance will occur unnoticed, some may cause a temporary impact. Status page announcements provide information on service outages, scheduled maintenance, and historical uptime. You can view and subscribe to notifications from the DataRobot status page.
- Accessibility standards
- WCAG 2.1 AA or EN 301 549
- Accessibility testing
- Rigorous acceptance testing is carried out by our team in a production-like configuration. Our goal is ensuring the environment is Production Ready, realiable and in line with the requirements of each client including assistive technologies.
- API
- Yes
- What users can and can't do using the API
- DataRobot supports REST, Python, and R APIs as a programmatic alternative to the UI for creating and managing DataRobot projects. It allows you to automate processes and iterate more quickly, and lets you use DataRobot with scripted control. The API provides an intuitive modeling and prediction interface. You can use the API with DataRobot-supported clients in either R or Python, or with your own custom code. The clients are supported in Windows, UNIX, and OS X environments. Additionally, you can generate predictions with the prediction and batch prediction APIs, and build DataRobot blueprints in the blueprint workshop.
- API documentation
- Yes
- API documentation formats
-
- Open API (also known as Swagger)
- HTML
- ODF
- API sandbox or test environment
- Yes
- Customisation available
- Yes
- Description of customisation
-
Custom inference models allow you to bring your own pre-trained models to DataRobot. By uploading a model artifact to the Custom Model Workshop, you can create, test, and deploy custom inference models to a centralized deployment hub. DataRobot supports models built with a variety of coding languages, including Python, R, and Java. If you've created a model outside of DataRobot and you want to upload your model to DataRobot, you need to define two components:
Model content: The compiled artifact, source code, and additional supporting files related to the model.
Model environment: The Docker image where the model will run. Model environments can be either drop-in or custom, containing a Docker file and any necessary supporting files. DataRobot provides a variety of built-in environments. Custom environments are only required to accommodate very specialized models and use cases.
Scaling
- Independence of resources
- DataRobot provides options for autoscaling of resources within your own private cloud hosted deployment which are not affected by other users of the service since they are physically decoupled.
Analytics
- Service usage metrics
- Yes
- Metrics types
- The Service Health tab tracks metrics about a deployment's ability to respond to prediction requests quickly and reliably. This helps identify bottlenecks and assess capacity, which is critical to proper provisioning.
- Reporting types
- Real-time dashboards
Resellers
- Supplier type
- Reseller providing extra features and support
- Organisation whose services are being resold
- DataRobot
Staff security
- Staff security clearance
- Conforms to BS7858:2019
- Government security clearance
- Up to Developed Vetting (DV)
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 every 6 months
- Penetration testing approach
- Another external penetration testing organisation
- Protecting data at rest
-
- Physical access control, complying with CSA CCM v3.0
- Physical access control, complying with SSAE-16 / ISAE 3402
- Physical access control, complying with another standard
- Encryption of all physical media
- Scale, obfuscating techniques, or data storage sharding
- Data sanitisation process
- Yes
- Data sanitisation type
- Deleted data can’t be directly accessed
- Equipment disposal approach
- A third-party destruction service
Data importing and exporting
- Data export approach
- DataRobot provides open export routines to allow data ingested into all models to be extracted at will.
- Data export formats
-
- CSV
- ODF
- Data import formats
-
- CSV
- ODF
Data-in-transit protection
- Data protection between buyer and supplier networks
-
- Private network or public sector network
- TLS (version 1.2 or above)
- Data protection within supplier network
-
- TLS (version 1.2 or above)
- IPsec or TLS VPN gateway
Availability and resilience
- Guaranteed availability
- DataRobot does not offer specific guarantees around levels of availability.
- Approach to resilience
- Where a DataRobot VM is hosted in the cloud, it relies primarily on the resilience of the hosting cloud platform.
- Outage reporting
- DataRobot provides a service centre to monitor service health which is accessible to relevant users.
Identity and authentication
- User authentication needed
- Yes
- User authentication
-
- 2-factor authentication
- Public key authentication (including by TLS client certificate)
- Identity federation with existing provider (for example Google Apps)
- Limited access network (for example PSN)
- Dedicated link (for example VPN)
- Username or password
- Access restrictions in management interfaces and support channels
- DataRobot does not publish this information
- Access restriction testing frequency
- At least every 6 months
- Management access authentication
-
- 2-factor authentication
- Public key authentication (including by TLS client certificate)
- Identity federation with existing provider (for example Google Apps)
- Limited access network (for example PSN)
- Dedicated link (for example VPN)
- Username or password
Audit information for users
- Access to user activity audit information
- You control when users can access audit information
- How long user audit data is stored for
- User-defined
- Access to supplier activity audit information
- You control when users can access audit information
- How long supplier audit data is stored for
- User-defined
- How long system logs are stored for
- User-defined
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
- Yes
- Other security certifications
- Yes
- Any other security certifications
- Staff are security certified to SC level
Security governance
- Named board-level person responsible for service security
- No
- Security governance certified
- Yes
- Security governance standards
- ISO/IEC 27001
- Information security policies and processes
-
We prioritize the highest standards of data confidentiality and privacy to ensure the security and trust of our users. We employ robust encryption measures both in transit and at rest, guaranteeing that your data remains protected from unauthorized access. If you want to keep your data in-house and use our Self-Managed solution, we can provide controls to help you meet your unique security and privacy requirements. Encryption in transit and at rest configurations are available using your own certificate authorities. Compatible with DNSSEC
Experience secure and effortless authentication with the DataRobot AI Platform. Trial users can easily sign up for a 30-day trial using their Google or Github accounts. For enterprises, we support SAML-based SSO, and Self-Managed customers can integrate with LDAP for centralized user management and authentication. Add an extra layer of protection with Multi-Factor Authentication.
Data connections are made secure with OAuth or username & password. Admins now have the power to configure and govern access to OAuth connections without compromising sensitive information.
Operational security
- Configuration and change management standard
- Conforms to a recognised standard, for example CSA CCM v3.0 or SSAE-16 / ISAE 3402
- Configuration and change management approach
-
To enable effective governance and control across DataRobot, you can create approval policies for deployment-related activities. Approval policies help ensure that DataRobot deployments are being produced and used safely with the necessary guardrails in place.
Administrators can create policies from the Approval Policies page, or use an existing policy as a template. Once created, you can perform a variety of actions to manage approval policies. Note that the policies an administrator sees are specific to their organization—each organization may have its own approval policies configured. - Vulnerability management type
- Conforms to a recognised standard, for example CSA CCM v3.0 or SSAE-16 / ISAE 3402
- Vulnerability management approach
- We have systems in place to ensure your data is safe from malware, vulnerabilities, and other cybersecurity threats like network-based attacks and unauthorized access. We regularly perform penetration testing using a trusted third party to ensure that we are proactively identifying and addressing any potential vulnerabilities in our system.DataRobot has implemented a comprehensive GRC program, aligned with industry best practices, that includes annual external audits, security assessments of our production applications, on-prem and cloud assets, and security awareness training for employees. We have comprehensive policies and procedures in place designed to manage the integrity of our environment.
- Protective monitoring type
- Conforms to a recognised standard, for example CSA CCM v3.0 or SSAE-16 / ISAE 3402
- Protective monitoring approach
-
Our most isolated cloud offering is designed for customers with elevated data privacy or data sovereignty requirements. Single-Tenant SaaS provides the latest DataRobot capabilities in a dedicated VPC that only you have access to.
DataRobot AI Platform has achieved the following certifications:
ISO 27001: We are certified under ISO 27001, a globally recognized standard for an organization’s Information Security Management System.
SOC2 Type II: We annually undergo an independent assessment of our cloud control environment.
HIPAA: DataRobot’s HIPAA-compliant Single-Tenant SaaS offering is now available on both Azure and AWS.
DataRobot does not publish information on potential compromises. - Incident management type
- Conforms to a recognised standard, for example, CSA CCM v3.0 or ISO/IEC 27035:2011 or SSAE-16 / ISAE 3402
- Incident management approach
- DataRobot does not publish this information.
Secure development
- Approach to secure software development best practice
- Independent review of processes (for example CESG CPA Build Standard, ISO/IEC 27034, ISO/IEC 27001 or CSA CCM v3.0)
Public sector networks
- Connection to public sector networks
- Yes
- Connected networks
-
- Public Services Network (PSN)
- Police National Network (PNN)
- NHS Network (N3)
- Joint Academic Network (JANET)
- Scottish Wide Area Network (SWAN)
- Health and Social Care Network (HSCN)
- Other
- Other public sector networks
- DataRobot can ingest data from any public sector network
Social Value
- Social Value
-
Social Value
- Fighting climate change
- Covid-19 recovery
- Tackling economic inequality
- Equal opportunity
- Wellbeing
Fighting climate change
Bulien has been a carbon negative company since 2021, with a comprehensive sustainability plan for an SME of our size. We consider our working environment and transport in everything we do, and work with global tree planting associations to help plant trees where they're needed most.Covid-19 recovery
Bulien switched to an entirely work-from-home model as default for all staff to ensure safety, comfort & convenience during the pandemic and thereafter, In 2022, Bulien made the Mental Health at Work Commitment.Tackling economic inequality
Bulien has a successful apprenticeship scheme, both in terms of apprentices joining the business but also with existing employees continuing their education through apprenticeship. We supply guest lectures to universities and schools in the region.Equal opportunity
Bulien is an equal opportunities employer. We pride ourselves on creating a diverse workforce since we believe this creates a highly empowered and positive impact on the work we do. We deliver perpetual in-house training & development to all staff, enhanced by external offerings wherever applicable/desired. We supply a wide program of free to attend webinars on a bi-weekly basis, showcasing a variety of different technologies.Wellbeing
Bulien is committed to employee wellbeing. We regularly hold wellbeing and mental health days and encourage a culture of openness and trust including health issues, further education opportunities and other activities such as away days that foster a culture of happy, healthy people. Bulien grant employees wellness days for mental health. Whilst not at the threshold number of employees (500), Bulien is working towards the mental health standard associated with Thriving at Work.
Pricing
- Price
- £75,000 a licence a year
- Discount for educational organisations
- No
- Free trial available
- Yes
- Description of free trial
- DataRobot provides assisted trials called proof of value projects