BULIEN LLP

DataRobot Software

DataRobot accelerates your AI success by putting the power of cutting edge automated machine learning technology into the hands of your existing team. 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, TensorFlow, 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/series forecasting to automatically predict seasonality
• Auto deployment of API endpoints
• Boosting, bagging, random forests, kernel methods, deep learning
• Model explainability and documentation 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
• Works with any LLM (CoPilot, ChatGPT, Anthropic, Gemini, Grok)
• Works with enterprise data in databases, LakeHouse, Hadoop or BLOBS
• Transparency and Explainability to prove model provenance
• Data visualisations of model evaluation including word clouds, histograms, ROC
• Highly accurate model selection based on global data mining algorithms
• Data science models are continously challenged for accuracy and drift
• Gen/AgenticAI functions (RAG, prompt management, LLM gateway)

• Education pricing available
• Free trial available

Service documents

• Pricing document

  PDF

• Service definition document

  PDF

• Terms and conditions

  PDF

Request an accessible format

If you use assistive technology (such as a screen reader) and need versions of these documents in a more accessible format, email the supplier at frameworks@bulien.com. Tell them what format you need. It will help if you say what assistive technology you use.

Framework

G-Cloud 15

Service ID

717244427960154

Contact

Mark Jackson
02039621778
frameworks@bulien.com

About your service

• Service categories:

  Application Development and Deployment

  AI platforms

  AI life cycle

  • Data Labeling Software
  • AI Build Software
  • MLOps and Foundation Model Ops Software
  • Trustworthy AI Software
• Multi cloud support: Yes

Service scope

• Software add-on or extension: No
• Cloud deployment model:
  • Public cloud
  • Private cloud
  • Hybrid cloud
• Service constraints: Complex data engineering steps may need to be performed upstream of the service.
• System requirements:
  • Java 11
  • NVIDIA GPUs may be required for deep learning
  • Adequate CPU and RAM depending on scale
  • Accessible via a web browser (Chrome)
  • Can be installed on Linux Server
  • Can be installed on existing Hadoop cluster

User support

• Email or online ticketing support: Yes
• Support response times: Support hours and availability depend on your agreement both directly with DataRobot and with Bulien.; ; 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
• User can manage status and priority of support tickets: Yes
• Online ticketing support accessibility: WCAG 2.2 AA
• Phone support: Yes
• Phone support availability: 9 to 5 (UK time), Monday to Friday
• Web chat support: Yes
• Web chat support availability: 9 to 5 (UK time), Monday to Friday
• Web chat support accessibility standard: WCAG 2.2 AA
• Web chat accessibility testing: Bulien only use tools that are compatible with the above standard including Microsoft technologies such as Teams. Testing is done manually using screen readers, a keyboard only interface, and contrast checkers, in addition to automated evaluation methods.
• Onsite support: Yes, at extra cost
• Support levels: Bulien provide triage to DataRobot support at zero cost. Additional costs for on site support and development are provided subject to contract and based on our SFIA day rate and the level of software purchased. Technical account managers and support engineers are also available including Customer Facing Data Scientists (CFDS) who are usually part of the onboarding process and supplied by the vendor.
• Support available to third parties: Yes
• AI chatbot: No

Onboarding and offboarding

• Getting started: Bulien provide all aspects of on boarding from initial discovery, POCs, guided trials and other support mechanisms to provide as much support as required to help implement and embed the software. Onsite, online and documentation is provided if required as well as a full end to end service of implementation and enablement. This is supported by a customer facing data scientist assigned to each project by the vendor.
• Service documentation: Yes
• Documentation formats:
  • HTML
  • PDF
• End-of-contract data extraction: DataRobot allows customers to export data and model outputs from the platform using supported export and integration features during the subscription term. DataRobot documents that customers can retrieve data, results, and artifacts generated through their use of the service.
• End-of-contract process: DataRobot supports customer exit through standard data export capabilities available during the subscription term. Customers are responsible for extracting their data, models, and outputs using the platform’s supported export and integration features prior to contract expiry.
• Documentation accessibility standard: EN 301 549

Using the service

• Web browser interface: Yes
• Supported browsers: Chrome
• Application to install: No
• Designed for use on mobile devices: No
• Service interface: Yes
• User support accessibility: EN 301 549
• Description of service interface: The main interface is web based and is easy to use and intuative. It is split between workbench for experimentation, registry to deploy and console to review, each have extensive features.; DataRobot provides a comprehensive REST API that allows users to interact with the platform programmatically as an alternative to the web interface. Using the API, users can automate key tasks such as creating and managing projects, uploading datasets, training models, monitoring results, and retrieving outputs. DataRobot also offers official client libraries for Python and R that wrap the REST API, enabling integration into scripts, notebooks, and data workflows.
• Accessibility standards: EN 301 549
• Accessibility testing: DataRobot continually works to improve the accessibility of the platform and strives to be compatible with the Web Content Accessibility Guidelines (WCAG) 2.21 Level A and AA standards.; Due to the complex nature of data science, the platform includes numerous tables, grids, graphs, and data visualizations. While these elements have been designed to be as accessible as possible, some pages with extensive data may not reflow or resize perfectly on all devices or screen sizes. DataRobot is actively working on enhancing the responsiveness and accessibility of these features to provide a better experience for all users.
• 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
  • PDF
• 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 is delivered using a cloud native architecture that supports logical tenant isolation. Customer data, projects, models, and deployments are segregated so that one customer’s workloads do not provide access to or interfere with another’s. For managed SaaS deployments, DataRobot operates and monitors the underlying infrastructure and capacity, scaling resources as required to support customer workloads.

Analytics

• Service usage metrics: Yes
• Metrics types: DataRobot provides detailed operational and performance metrics for deployed models through its MLOps and monitoring capabilities. Within the platform, users can monitor metrics such as prediction volumes, latency, error rates, data drift, accuracy, and overall model service health over time. DataRobot also documents support for defining and tracking custom metrics to reflect business-specific performance indicators. These metrics are accessible through the user interface and, where supported, programmatically via APIs.
• Reporting types:
  • API access
  • Real-time dashboards
• Resource tagging: Yes
• FOCUS resource tagging: Yes

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: Developed Vetting (DV)

Asset protection

• Knowledge of data storage and processing locations: Yes
• Data storage and processing locations:
  • United Kingdom
  • European Economic Area (EEA)
• User control over data storage and processing locations: Yes
• Datacentre security standards: Managed by a third party
• Penetration testing frequency: At least once a year
• Penetration testing approach: Another external penetration testing organisation
• Protecting data at rest: Encryption of all physical media
• Data sanitisation process: Yes
• Equipment disposal approach: A third-party destruction service
• Data sanitisation type:
  • Deleted data can’t be directly accessed / Cryptographic Erasure
  • Data Erasure
  • Physical Destruction / Hardware containing data is completely destroyed

Data importing and exporting

• Data export approach: DataRobot allows users to export data and artifacts using supported features available during the subscription term. Data can be exported through the web interface and programmatically via the REST API and supported client libraries, enabling retrieval of datasets, prediction outputs, and model artifacts for use outside the platform. Users may also direct outputs of batch predictions to external storage systems as part of normal workflows.
• Data export formats:
  • CSV
  • Other
• Other data export formats:
  • Direct to Snowflake, BigQuery, AWS S3, Azure BLOB
  • Generic JDBC
  • HTTP stream scored data
  • Model export in .jar (JAVA) or Python
  • PNG for images
  • Vector databases
• Data import formats:
  • CSV
  • Other
• Other data import formats:
  • Xls xlsx
  • SAS
  • ESRI
  • WKT
  • Parquet
  • JDBC,PostGIS, Redshift, Snowflake, Google BigQuery, SQL Server, Oracle, PostgreSQL.
  • AWS-S3, Google Cloud Storage, Azure Blob Storage.
  • HTTP, HTTPS

Data-in-transit protection

• Data protection between buyer and supplier networks:
  • Private network or public sector network
  • TLS (version 1.2 or above)
  • Other
• Other protection between networks: Secure, authenticated API access and session management are used in conjunction with encrypted transport to protect data in transit.; DataRobot utilises role-based access control (RBAC) ; Single-Tenant SaaS is currently available on AWS, Azure and GCP.; DataRobot is compatible with DNSSEC
• Data protection within supplier network: TLS (version 1.2 or above)

Availability and resilience

• Guaranteed availability: For standard SaaS deployments, DataRobot relies on the high-availability capabilities of its underlying cloud providers such as AWS which offer resilient infrastructure, multi-zone redundancy, and robust failover mechanisms. the platform is designed for continuous operation with proactive monitoring, alerting, and automated scaling to maintain performance. Operationally, DataRobot maintains availability through continuous monitoring, automated health checks, scheduled maintenance procedures, and rapid incident response. These measures enable quick detection and mitigation of service disruptions.
• 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:
  • Multi-Factor Authentication (MFA)
  • Username or password
  • Other
• Other user authentication: Trial users can sign up for a 30 day trial using their Google or Github accounts. Enterprises are supported with SAML based SSO, and Self Managed customers can integrate with LDAP for centralised user management and authentication. ; Data connections are made secure with OAuth or username and password.
• Access restrictions in management interfaces and support channels: The DataRobot AI Platform uses role-based access control (RBAC) with default and custom roles, as well as fine-tuned sharing permissions. RBAC allows you to define and assign roles with specific privileges, ensuring users have access to only the functionality they need. Sharing permissions allow you to selectively grant access to resources, promoting collaboration while maintaining data security. This combination provides a flexible and robust access control framework, assuring a safe and seamless experience.
• Access restriction testing frequency: At least once a year
• Management access authentication:
  • Multi-Factor Authentication (MFA)
  • Username or password
  • Other
• Description of management access authentication: Data connections are made secure with OAuth or username and password. Admins now have the power to configure and govern access to OAuth connections without compromising sensitive information.

Audit information for users

• Access to user activity audit information: No audit information available
• Access to supplier activity audit information: No audit information available
• How long system logs are stored for: At least 12 months

Security governance

• Named board-level person responsible for service security: No
• Security governance certified: Yes
• Security governance standards:
  • ISO/IEC 27001
  • Other
• Other security governance standards: SOC 2 Type II – Independently audited security, availability, and confidentiality controls; ; HIPAA-aligned controls where applicable for healthcare customers.
• Information security policies and processes: DataRobot follows a defined set of information security policies and operational processes designed to protect customer data and support secure service delivery. DataRobot documents policies covering security governance, data protection, access control, incident response, change management, and vendor risk management. Privacy and data handling practices are described through publicly available privacy and data protection notices. Security controls are independently assessed through SOC 2 Type II, which evaluates the design and operating effectiveness of controls related to security, availability, and confidentiality. Technical processes include secure software development practices, vulnerability management, and monitoring. Access to systems and data is controlled through role-based access controls and least privilege principles. Logging, monitoring, and incident response processes are in place to detect and respond to security events. Employees receive security awareness training appropriate to their roles.
• Software Security Code of Practice: Yes

Operational security

• Configuration and change management standard: Supplier-defined controls
• Configuration and change management approach: DataRobot’s configuration and change management processes follow the requirements of its SOC 2 Type II–audited controls, ensuring changes are secure, controlled, and auditable. Configuration management maintains approved baselines, version control, and restricted access to production systems. All changes follow a formal workflow that includes risk assessment, security review, approval, testing in non-production environments, and documented deployment. Segregation of duties ensures no single individual can introduce unreviewed changes. Emergency changes follow an accelerated but still controlled process. Continuous monitoring and logging verify that configurations remain compliant and that no unauthorised changes occur in the environment.
• Vulnerability management type: Supplier-defined controls
• Vulnerability management approach: DataRobot’s vulnerability management processes align with its SOC 2 Type II security frameworks, ensuring a structured and audited approach to identifying and mitigating risks. The organisation conducts continuous automated vulnerability scanning across infrastructure and applications, supported by regular third party penetration tests. Findings are prioritised using a risk-based methodology, with defined remediation timeframes for high severity issues. Patch management procedures ensure fixes are deployed securely and documented. As part of its secure development lifecycle, DataRobot performs code reviews and dependency checks to detect vulnerabilities early. Threat intelligence monitoring and incident response workflows further strengthen ongoing vulnerability management.
• Protective monitoring type: Supplier-defined controls
• Protective monitoring approach: DataRobot’s protective monitoring processes align with SOC 2 Type II controls, ensuring continuous oversight of security events across its environments. The platform uses centralised logging to capture system, access, and application events, supported by automated alerting that identifies anomalous behaviour or policy violations. Real time monitoring tools analyse logs and metrics to detect threats quickly, enhanced by integrated threat intelligence feeds. Alerts are escalated to security teams following defined incident-response procedures and playbooks. Comprehensive audit trails support investigation and compliance requirements. Together, these measures provide ongoing visibility and rapid detection of potential security issues.
• Incident management type: Supplier-defined controls
• Incident management approach: DataRobot’s incident management process follows a structured framework aligned with SOC 2 Type II controls. Incidents are detected through continuous monitoring and automated alerting, then logged and classified by severity. A defined response plan guides containment, investigation, eradication, and recovery activities. Security specialists are assigned based on impact, and escalation procedures ensure the right teams are engaged quickly. Communication protocols provide timely updates to affected customers when required. After resolution, DataRobot conducts a post incident review to capture lessons learned, update documentation, and strengthen controls.
• Post-quantum cryptography secure: No

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 v4.0)

Public sector networks

• Connection to public sector networks: Yes
• Connected networks:
  • Public Services Network (PSN)
  • Police National Network (PNN)
  • Joint Academic Network (JANET)
  • Scottish Wide Area Network (SWAN)
  • Health and Social Care Network (HSCN)

Pricing

• Discount for educational organisations: Yes
• Free trial available: Yes
• Description of free trial: DataRobot offers a time limited free trial that gives users access to core platform features. The trial allows users to upload data, build models, explore insights and deploy test predictions. Advanced capabilities, enterprise integration and governance features require a paid subscription.

Discount percentage by annual call-off contract value (excluding VAT)

• Less than £250,000: 0%
• Between £250,000 and £500,000: 0%
• Between £500,001 and £1,000,000: 0%
• Between £1,000,001 and £2,500,000: 0%
• Between £2,500,001 and £5,000,000: 0%
• Over £5,000,001: 0%

Non-mandatory Standards and certifications

• ISO/IEC 27001 certification: No
• ISO 28000:2022 certification: No
• ISO 9001 certification: No
• Quality management systems (QMS): Yes
• CSA STAR certification: No
• PCI certification: No
• Cyber essentials: Yes
• Please provide your Cyber Essentials Certificate Number: F82fc1c1-e80e-4033-b616-621ccb051f76
• Cyber essentials plus: Yes
• Please provide your Cyber Essentials Plus Certificate Number: 6744aee8-a275-4c59-ac0f-4eb6bbc86679
• Other security certifications: No

Social value

• Section B - Commitment for Future: Delivery:

  • Mission: Kick start economic growth. To secure the highest sustained growth in the G7 - with good jobs and productivity growth in every part of the country making everyone, not just a few, better off.

    Policy Outcome 1: Fair work: That offers fair wages and good working conditions. Help people get a job, stay in work, and progress in their careers, with good employment opportunities across the country. Notes: Where there is a large proportion of labour costs in the contract, commercial teams should consider MAC in Outcome 1 as a priority

    • New or retained jobs on the contract workforce in the relevant area that meet the criteria set out in MAC 1b, 1c and 1d
    • New apprenticeships on the contract workforce in the relevant area that meet the criteria set out in MAC 1b
    • Providing opportunities for, and measuring and monitoring of, staff workforce conditions over time, including employee engagement, involvement in decision-making and satisfaction and adapting to any changes in the results, with clear processes for acting on issues identified
    • Plans to engage the contract workforce in deciding the most important workplace issues to address
    • Ensuring new workers are informed of their right to join a trade union
    • Monitoring of employee engagement rates (by protected characteristic) and, where necessary, the development of actions to ensure all voices are heard across the diversity of the workforce
    • Employment contracts that reflect actual hours worked; steps taken to ensure employees understand their contracts and have the ability to review and adjust them if actual hours regularly exceed contracted hours
    • Activities that support an environment where staff are educated about, and feel empowered to, address their physical wellbeing
    • Activities that support an environment where staff are educated about and feel empowered to report and address bullying and harassment
    • Activities to cascade good practice on fair working conditions throughout the supply chain
    • Offer a pay and leave entitlement to all eligible staff who become kinship carers, ideally equivalent to statutory adoption pay and leave
    • Payment of more than the National Minimum Wage or National Living Wage (as appropriate) to the contract workforce
    • Monitoring and reporting of gender and ethnicity pay gaps and plans to address them where necessary
    • Entitlement to sick pay for the contract workforce, with provision in place for any staff who do not meet the earnings threshold for statutory sick pay, payment of sick pay from day one of absence and payment of staff on the contract workforce who are off sick a replacement income of 100% of their usual earnings for as long as possible
    • Plans for an appropriate income replacement policy for staff who are required to spend time away from work to care for a sick dependent or close relative
    • Understanding of in-work progression issues affecting the market, industry or sector relevant to the contract, and in the supplier’s own organisation and those of its key sub-contractors
    • Measures to support in-work progression to help people in the contract workforce, to move into higher paid work by developing new skills relevant to the contract
    • Support for the contract workforce by providing career advice, and providing opportunities for staff working on the contract with in-work progression career development into known skills shortages or high growth areas
    • Support for educational attainment relevant to the contract, including training schemes that address skills gaps and result in recognised qualifications
    • Volunteering opportunities for staff
    • Understanding of the modern slavery risks and issues affecting the market, industry, sector or country (of origin or of source) relevant to the contract, and the workforce in the supplier’s own organisation and those of its key subcontractors
    • Measures to identify, mitigate and manage modern slavery risks relating to the contract and how these will be implemented
    • Outline policies and practices to be applied to or put in place for the contract to mitigate and manage modern slavery risks, including: Pre-employment checks, recruitment practices. Workplace conditions, safeguarding plans and processes in place and regular monitoring with relevant groups considered, which may include sampling
    • How these flow down the supply chain and are monitored Illustrative examples include reporting, site visits, audits, etc.
    • How to ensure business decisions re: price/cost, short lead times, payment timescales do not create modern slavery risks in the supply chain
    • How the supplier will work with NGOs, trade unions or other businesses to address modern slavery risk
    • Means of influencing staff, suppliers, customers, communities and/or any other appropriate stakeholders with respect to modern slavery risks relating to the contract

  • Mission: Kick start economic growth. To secure the highest sustained growth in the G7 - with good jobs and productivity growth in every part of the country making everyone, not just a few, better off.

    Policy Outcome 2: Skills for growth: Supporting growth sectors and addressing skills gaps.

    • Understanding of employment and relevant skills issues, and of the education and training issues relating to the contract. Illustrative examples: demographics, skills shortages, new opportunities in high growth sectors, geographic/local community and skills/employment challenges
    • Support for educational attainment relevant to the contract, including training schemes that address skills gaps and result in recognised qualifications
    • Activities to support relevant sector related skills growth and sustainability in the contract workforce. Illustrative examples: careers talks, curriculum support, literacy support, safety talks and volunteering
    • Delivery of apprenticeships, supported internships and T Level industry placement opportunities (Level 2, 3 and 4+) in relation to the contract

  • Mission: Kick start economic growth. To secure the highest sustained growth in the G7 - with good jobs and productivity growth in every part of the country making everyone, not just a few, better off.

    Policy Outcome 3: Resilient, innovative and flexible supply chains: Support economic growth through enabling resilient businesses, opportunities for small businesses and voluntary, community and social enterprises

    • Understanding of the types of businesses in the market and the level of participation by new businesses, entrepreneurs, start-ups, SMEs, VCSEs and mutuals
    • Activities to identify opportunities to open up sub-contracts under the prime contract to a diverse range of businesses, including new businesses, entrepreneurs, start-ups, SMEs, VCSEs and mutuals
    • Plans for engaging a diverse range of businesses in engagement activities prior to appointing subcontractors (including activities prior to award of the main contract and during the contract term)
    • Activities that demonstrate a collaborative way to work with a diverse range of businesses as part of the supply chain
    • Advertising of supply chain opportunities openly and to ensure they are accessible to a diverse range of businesses, including advertising all subcontracting opportunities on Contracts Finder
    • Ensuring accessibility to contracting and subcontracting opportunities for disabled business owners and employees
    • Structuring of the supply chain selection process to ensure fairness (e.g. anti-corruption) and encourages participation by a diverse range of businesses, including with regard to new businesses, entrepreneurs, start-ups, SMEs, VCSEs and mutual
    • Understanding of local demographics, needs and opportunities for the co-design of the goods, services and works to be delivered under the contract
    • Methods for engaging with different parts of the community (including the education system and charities representing the community) and how communities come together to inform decisions, strategy and projects to leave a positive legacy for future generations
    • Measures to involve local stakeholders and/or users in design (e.g. in the design of services, systems, products or buildings)
    • Plans for positive actions with community groups.
    • Measures for making facilities used in the delivery of the contract available for community groups, education or training
    • Measures to engage users and communities and build relationships to increase community integration build trust and influence how the contract is delivered
    • Plans to respond flexibly and adapt approaches to community engagement and initiatives
    • Support for community-led initiatives relevant to the contract. Illustrative examples: improving transport links; reducing loneliness; helping with English language proficiency; and facilitating social mixing among people with different backgrounds
    • Collaborating with anchor institutions and community groups to make facilities available for education, training or community events

  • Mission: Make Britain a clean energy superpower: To cut bills, create jobs and deliver security with cheaper, zero-carbon electricity by 2030, accelerating to net zero

    Policy Outcome 4: Sustainable procurement practices: Reducing carbon footprints, minimising waste, and promoting the use of clean energy and green technologies.

    • Understanding of opportunities for additional environmental benefits delivery in the performance of the contract, including working towards net zero carbon emissions and use of clean energy and green technologies
    • Collaborative ways of working with the supply chain to deliver additional environmental benefits in the performance of the contract, including working towards net zero carbon emissions and use of clean energy and green technologies
    • Delivery of additional environmental benefits through the performance of the contract, including working towards net zero carbon emissions and use of clean energy and green technologies
    • Understanding of how to influence staff, suppliers, customers, communities and/or any other appropriate stakeholders through the delivery of the contract to support climate and nature protection and improvement
    • Activities to reconnect people with the environment and increase awareness of ways to protect and enhance it

  • Mission: Break down barriers to opportunity: By reforming our childcare and education systems, to make sure there is no class ceiling on the ambitions of young people in Britain

    Policy Outcome 6: Employment and training: For those who face barriers to employment

    • Understanding of employment and skills issues, and of the skills and employment shortages of high growth sectors relating to the contract
    • Creation of employment opportunities particularly for those who face barriers to employment, such as prison leavers, care leavers and/or who are located in deprived areas, and for people in industries with known skills shortages or in high growth sectors
    • Understanding of the issues affecting the representation of disabled people in the workforce in the market, industry or sector relevant to the contract, and in the supplier’s own organisation and those of its key sub-contractors
    • Collection of the views and expertise of disabled people and their representative organisations on successfully supporting disabled employees or applicants
    • Inclusive and accessible recruitment practices, and retention-focused activities, including those provided in the Guide for line managers on recruiting, managing and developing people with a disability or health condition
    • Introducing transparency to pay and reward processes
    • Offering a range of quality opportunities with routes of progression if appropriate, e.g. T Level industry placements, students supported into higher level apprenticeships.
    • Working conditions which promote an inclusive working environment and promote retention and progression
    • Other measures to provide equality of opportunity for disabled people and those with health conditions into employment, including becoming a Disability Confident employer and inclusion of supported businesses in the contract supply chain
    • Understanding of the issues affecting inequality in employment, skills and pay in the market, industry or sector relevant to the contract, and in the supplier’s own organisation and those of its key sub-contractors. Measures to tackle inequality in employment, skills and pay in the contract workforce
    • Inclusive and accessible development practices, including guidance for line managers on recruiting, managing and developing people with a disability or health condition

  • Mission: Break down barriers to opportunity: By reforming our childcare and education systems, to make sure there is no class ceiling on the ambitions of young people in Britain

    Policy Outcome 7: Creating a pipeline of opportunities: For the contract workforce, reducing barriers to entry for under-represented groups.

    • Understanding of the issues affecting the development of new skills by target cohort
    • Understanding of the underlying factors affecting improvements to reduce barriers to entry and training schemes for the target cohort(s) related to the contract workforce
    • Other measures to offer development opportunities for the target cohort(s) in the contract workforce
    • Advertising, promotional and outreach activities designed to raise awareness of the offer to reach the target cohort
    • Understanding of issues relating to entering the contract workforce
    • Creation of outreach activities to create a pipeline of employees for the future contract delivery
    • Content of the outreach activity is designed to suit the target cohort
    • Advertising, promotional and outreach activities designed to raise awareness of the offer to reach the target cohort

  • Mission: Build an NHS fit for the future: That is there when people need it; with fewer lives lost to the biggest killers; in a fairer Britain, where everyone lives well for longer.

    Policy Outcome 8: Increasing productivity through physical and mental wellbeing: In the supply chain and communities in the relevant area.

    • Understanding of issues relating to health and wellbeing, including physical and mental health, in the contract workforce
    • Understanding barriers to access to health and social care services or employment opportunities e.g. digital inclusion
    • Inclusive and accessible recruitment practices, development practices and retention policies that support-focused activities including those provided in the Guide for line managers on recruiting, managing and developing which support people with a disability or health condition
    • Actions to invest in the physical and mental health and wellbeing of the contract workforce

Service documents

• Pricing document

  PDF

• Service definition document

  PDF

• Terms and conditions

  PDF

Request an accessible format

If you use assistive technology (such as a screen reader) and need versions of these documents in a more accessible format, email the supplier at frameworks@bulien.com. Tell them what format you need. It will help if you say what assistive technology you use.