DataRobot

AI that makes business sense

Talk to your data with agentic AI

Deliver AI apps for your business

Our applications and platform integrate into core business processes so teams can develop, deliver, and govern generative and predictive AI at scale.

01 AI Apps

Energy

Amplify and accelerate ROI across the oil and gas value chain with AI.

Financial Services

Deliver value for your financial institution with transformative AI solutions.

Healthcare

Transform healthcare and life sciences with AI.

Manufacturing

Accelerate and scale AI for intelligent manufacturing.

Public Sector

One command center for advanced AI solutions.

02 AI Platforms

Generative AI

Rapidly evaluate and benchmark generative AI experiments and apps.

Generative AI-Ready Data

Easily transform your data to optimise for your specific use cases. Use your documents as context for LLMs by fine-tuning within DataRobot, building your own vector databases, or integrating your existing ones.

Transform your organization’s unstructured documents into unique generative AI applications with streamlined processing to extract data. 

Harness the power of your organization’s unique data to develop vector databases with customizable chunking and embedding strategies.

Manage these databases seamlessly with role-based access controls (RBAC), lineage tracking, and versioning. Maintain quality by filtering metadata, and quickly adding or removing specific documents.

Generative AI Development

Build generative AI applications your way — whether deep-code, low-code, or a blended approach. Start with customisable, code-first application templates that include built-in business logic, application interfaces, and robust generative AI security. Or, create from scratch using enterprise-grade AI pipelines with notebooks or GUI workflows to streamline development and delivery. Tailor everything to fit your organisation’s unique needs.

Quickly deliver comprehensive generative AI applications. Get your generative AI applications into users’ hands in hours, not weeks. Develop a repository of code-first templates for your teams, starting with our customizable and editable generative AI Application Templates. These templates offer seamless GitHub integration and built-in best practices for business logic, application interfaces, and generative AI security. Or, create your own shareable custom templates for a repeatable, scalable AI development process.

Accelerate delivery from idea to application. Empower your business users with high-quality generative AI solutions through our Declarative API Framework. With the ability to easily replicate work and visualise and save AI pipelines, you can scale AI initiatives rapidly and develop innovative, comprehensive generative AI applications faster—driving informed decisions that impact your bottom line.

Evaluation & Benchmarking

Enable iterative experimentation. Elevate the quality of your generative AI applications by creating agentic flows in our Playground, using structured output from your queries. Visually compare different experiments—whether developing with a code-first notebook or through our GUI workflow—to assess output quality side-by-side and track changes effortlessly.

Benchmark and evaluate your experiments. Gain confidence in your generative AI experiments by applying statistical evaluation and CI/CD testing metrics. Easily compare performance to ensure you choose the best model for production.

Use and compare best-of-breed components. Optimise your generative AI experiments by tailoring them to your specific use cases with the tools you prefer. Experiment with popular proprietary LLMs directly from the platform—keys included—or host open-source LLMs to pinpoint the best foundation model for your needs, all seamlessly supported out-of-the-box.

Red-team applications before deployment. Gain confidence in the security and reliability of your generative AI applications by red-teaming your projects before deployment. Use synthetic data to test for jailbreaks, bias, response correctness, toxicity, and other compliance metrics, proactively identifying and addressing vulnerabilities. Once in production, benefit from a wide library of guards for ongoing protection.

Insights & Traceability

Gain deep insight into every prompt and response. Dive into the underlying documents and lineage linked to every prompt and generated response. Validate alerts and intervention decisions, keep your vector databases current, and know when it’s time to retrain your generative AI models to ensure they remain effective and reliable.

Continuously improve application quality. Gain deep insight into your generative AI applications’ performance to drive continuous improvement, ensuring your business stakeholders can make informed decisions based on accurate data.

1. Custom Metrics
   Track the most important metrics for your use case or organisation
2. Usage insights
   Improve your vector databases by assessing alignment with user prompts
   
3. Citations
   Dive deep into the underlying documents leveraged for each generated output
   
4. Human Feedback Loop
   Incorporate human feedback on the quality of generated outputs
   

Easily stay in compliance. Stay compliant with rapidly changing generative AI regulations while simplifying your workload with automated documentation. Run compliance tests for PII protection, toxicity, or prompt injection, generating reports with a single click. Customise these reports to align with your business or industry standards, and use flexible deployment options to ensure your AI infrastructure meets regulations like BAA and HIPAA.

Quality Assurance & Data Security

Detect and prevent unwanted behaviors and hallucinations with a robust library of out-of-the-box, custom and open-source guard models from NVIDIA, Microsoft, and more.

Align stakeholders on model methodology. Overcome the challenge of explaining complex mathematical concepts to business and compliance stakeholders by automatically generating clear, plain-language documentation and presentations.

Maintain consistent standards. Establish scalable security and governance standards with customisable, shareable guard models, intervention rules, and data security guardrails. Ensure your team consistently applies best practices unique to your business to meet regulatory and safety standards.

Generative AI App Experience

Create intuitive generative AI application interfaces. Empower business stakeholders to interact seamlessly with your generative AI applications using the Application Workshop. Create front-end application interfaces through an intuitive, no-code workflow that supports custom options like Streamlit, Dash, and Shiny.

Integrate with existing business applications. Seamlessly integrate generative AI applications with existing chat applications to meet business stakeholders where they already work. Drive usage and track adoption to showcase the business impact of your generative AI solutions.

Stay agile, even as things change. Seamlessly swap underlying generative AI components and URLs without disrupting production, allowing you to adapt to changing needs or market trends as newer, more suitable components emerge.

Predictive AI

Build more accurate models at scale.

ML Ready Data

Start modeling in minutes, not hours. Skip manual data prep. Clean, balance, and ensure your data is compliant and ready for feature engineering and modeling.

Connect to all of your data. Start working with your data without slowdowns due to connections and authentications. Use connectors with best-of-breed data warehouses to integrate all your data seamlessly into one workspace.

Define features without repetitive coding. Streamline
feature discovery by defining every feature of your dataset automatically. Customise and run feature detection and reduction algorithms to define and rank features by importance, and remove anything irrelevant. Rapidly experiment with
different lags structures, data aggregations, and differencing strategies for time series projects.

Remove complexity from multimodal data prep. Effortlessly augment diverse data formats with customisable feature engineering pipelines. Transform features and rapidly experiment with dozens of suggested preprocessing and feature engineering approaches.

Rapid Experimentation

Simplified multimodal data preprocessing. Take the complexity out of processing different types of data for intricate ML use-cases. Select and execute the best data preprocessing approaches, and customise modeling pipelines and recipes.

Automate feature engineering pipelines. Experiment more efficiently with automated feature detection and reduction methods. Customise for your use case, then rank every feature while decluttering low-impact options.

Flexible model tuning at scale. Explore and test hundreds of models and variations to find the most accurate for your use case. Fine-tune and train models with one-to-one experiment comparisons.

Centralised experiments, notebooks, and data. Effortlessly manage and track multiple experiments with automatic version control. Collaborate seamlessly in a unified workspace with role-based access to project data, feature engineering blueprints, experiments, and notebooks.

Predictive Use Cases

Time series modeling. Customise out-of-the-box time series technique suggestions and generate high-quality, hyper-granular forecasts without the complexity of mastering time series modeling approaches.

Multimodal models. Improve accuracy by building supervised and unsupervised models with a mix of data types including: time aware data, images, geospatial coordinates, natural language, and more.

Supervised models. Turn your data into predictive models in a fast and repeatable way.

Unsupervised models. Uncover latent features and patterns in large amounts of data to deliver specialised use cases.

Applied Predictions

One-click deployment. Instantly generate an AI pipeline to build and deploy registered models into production without compromising integrity.

Embed AI into your business and enable data-driven decision making. Maximise your models’ impact by integrating them into downstream business applications or deploying them in user-friendly applications.

Custom metric monitoring. Track the health of each model in production based on your team’s needs. Get automated alerts for data drift, latency, or service degradation.

Seamlessly replace legacy models. Focus on implementing the latest models instead of retraining outdated ones. Compare experimental models with deployed ones on production data, and easily hot swap them in to maintain or improve prediction accuracy without downtime.

Model Integrity

Visualise model explainability and quality. Explore every facet of your model with interactive visualisations of feature impact, effects, coefficients, and more.

Align stakeholders on model methodology. Overcome the challenge of explaining complex mathematical concepts to business and compliance stakeholders by automatically generating clear, plain-language documentation and presentations.

Custom and external model registration. Consolidate your organisation’s models, including DataRobot and external ones, into a single repository. Ensure version control and enhance collaboration.

AI Governance

Adopt, scale, and govern AI safely and effectively

AI Regulations and Compliance

Govern all models. Centralise model management across all generative AI and predictive AI models, regardless of build origin or environment. Deploy LLMs and ML models seamlessly via the UI or API, and leverage built-in generative AI metrics and interventions for OSS LLMs.

Automate compliance with regulations and industry standards. Save time and ensure compliance with automated documentation that meets country or industry requirements (EU AI Act, SR-117, HIPAA, BAA, etc.). Effortlessly run compliance tests for generative AI use cases like PII protection and toxicity, and generate detailed, customisable reports with a single click.

Model risk and policy management. Minimise AI-related risk and uphold MRM policies and security requirements across all AI projects. Leverage built-in Global Model templates, approval workflows, versioning, and performance monitoring to manage changes and reduce risk during model development and as models move to production.

Secure AI

Real-time intervention and moderation. Protect your models from vulnerabilities like PII leakage, prompt injection attacks, and inaccurate responses with DataRobot’s world-class guard models. Access a full suite of ready-to-use and customisable techniques from NVIDIA, Microsoft, DataRobot, and more to continuously monitor and address issues in LLM and predictive models.

Security shield for external models. Secure and govern all models, including externally built LLMs, with ease. Integrate DataRobot into your CI/CD pipeline or MLFlow registry for automatic testing and validation. Monitor and moderate your LLMs in real-time with comprehensive governance policies and custom metrics. Automate these defenses to ensure robust protection for every model in your organisation.

Pre-deployment AI red-teaming. Ensure your models are robust and secure by red-teaming your AI before deployment. Test with synthetic or custom datasets to spot jailbreaks, bias, inaccuracies, toxicity, and compliance issues to identify and address vulnerabilities early. Once in production, maintain protection with a broad library of guards for ongoing security.

Automate and customise alerts. Strengthen your security by automating and configuring guards to quickly report, block, and respond to threats. Modify or block prompt responses to speed up detection and resolution. Get real-time metrics and custom alerts in your data science applications or SIEM tools. Automatically block prompts if guards are delayed, ensuring consistent protection.

Standardised Production Pipelines

Reduce deployment complexity. Centralise your predictive and generative AI assets by organising, deploying, and versioning them from one registry. Automatically serialize your data and feature engineering pipeline, package LLMs, vector databases, and prompting strategies, and deploy a production-ready REST API endpoint with a single click.

Automate resource scaling. Cut operational costs with serverless deployments that auto-adjust compute based on workload and scale-to-zero settings for idle times. Accelerate vector database updates, guard performance, and prediction time with autoscaling.

Secure your AI pipelines with CI/CD testing. Secure your AI development pipelines with standardised CI/CD testing. Automate testing and authentication, streamline approval workflows, and switch production models seamlessly without service interruptions.

Keep your pipelines at peak performance. Ensure high quality across all deployments–databases, generative AI responses, and predictive models. Gain insight into how well AI responses align with your vector database, and leverage DataRobot’s insights for targeted training opportunities.

AI Observability

Uplevel your AI oversight and ensure peak performance

Reliable Performance

Maintain trust in generative AI. Ensure the performance of your generative AI models by combining DataRobot’s library of guardrails and open-source guard models. Automate real-time monitoring and intervention strategies like blocking prompts and custom alerts.

Track what matters most. Get clear insights into custom-built metrics – like cost, ROI, or response correctness – from one place. Calculate custom metrics within DataRobot or effortlessly track changes over time externally.

Ensure business continuity. Gain full visibility into model performance, whether built in DataRobot or externally. Track shifts in drift, accuracy, service health, and data quality, and quickly perform root-cause analysis to resolve issues efficiently.

Challenge and retrain your models. Keep your best models in production. Automate retraining and challenger policies to quickly compare your production models with challengers—whether built in DataRobot or externally. Use built-in metrics to align comparisons with your business goals and generate insights for deep, intuitive performance analysis.

AI Lineage and Transparency

Track model versions and hierarchy. Ensure transparency and compliance in your AI pipelines with automated documentation and versioning. Quickly generate detailed reports and access audit trails so you can maintain efficiency and meet regulatory requirements effortlessly.

Capture end-to-end lineage. Track the full lifecycle of your AI strategies from experimentation to production. DataRobot packages everything—data transformations, feature discovery, LLMs, vector databases, and prompting strategies—making it simple to audit and track every deployment end-to-end.

Interpret complex relationships. Enhance interpretability and visualize complex data structures across generative and predictive use cases, like explaining geospatial models or analysing vector database coverage.

AI Diagnosis and Remediation

Trace and assess prompts. Gain prompt and response insights with automatically generated tracing tables to improve your vector databases and generative AI responses. Monitor production prompts for response quality, user feedback, PII flags, rouge, or custom metrics to better manage risk.

Dive into drift. Uncover deep insights into drift patterns by visually comparing scoring data segments or scoring and training segments across any feature and time period. Access contextual details like prediction value over time to support your investigation and identify root causes.

Maintain high-quality vector databases. Keep your vector databases relevant and comprehensive by tracking, versioning, and managing all aspects, including metadata, benchmarks, and validation results. Quickly identify areas of improvement and gain deep insights into deployments for continuous optimisation.

Collaborate and alert for quick resolution. Improve collaboration with customisable notifications that alert the right teams if performance degrades. Real-time alerts ensure your organisation can quickly respond to changes in deployments and minimise disruptions.

AI Foundation

Streamline your AI workflows and drive collaboration

All AI Workloads

Unify your AI to drive innovation and unlock powerful use cases. Harness the combined power of generative and predictive AI with tailored workflows on a unified platform. With an intuitive user interface, the enterprise AI suite provides a roadmap for developing, delivering, and governing comprehensive AI applications across all environments.

Get started fast with fully managed notebooks. Build with managed, zero-configuration notebooks in seconds, without the need to set up underlying infrastructure, to ensure that all your AI projects and artifacts are well-governed, organszed, and easy-to-share

Draw from a library of shareable templates. Accelerate your development velocity with a library of customisable code-first AI Application Templates. Each template contains reusable code and built-in best practices, and are fully integrated with GitHub. Or, develop your own shareable custom templates. Either way, you can deliver AI applications in hours, not weeks.

Work with your preferred tools. Our open engine, extensive APIs, broad partner ecosystem, and customisable development environments allow you to integrate your existing tools and leverage the latest technologies.

Leverage our developer suite of coding tools. Develop and deliver models end-to-end with the precision, control, and reproducibility of code. Discover insights, build features, develop models, and programmatically schedule processing jobs – all within our hosted notebooks. Customise codespace environments to enable your team to consistently develop production-ready models and applications.

Colloboration

Collaborate in open workspaces and codespaces. Access all project data, experiments, features, and notebooks in one easily accessible location. Use reproducible custom environments to seamlessly collaborate across hosted notebooks and codespaces.

Maintain full visibility across all AI assets. Centralise all AI assets—data catalogs, models, applications, and use cases—in our unified Registry so your entire team can easily access, share, and collaborate on AI projects, regardless of where they were built.

Simplify handoffs between teams. Support easy collaboration across all stakeholders involved in your AI projects and accelerate the process of bringing AI from idea to application.

Maintain control while encouraging teamwork. Ensure that only authorised personnel can make changes to production models with role-based approval workflows (RBAC). Easily track and audit those changes with built-in versioning and lineage tracking.

Streamlined AI Workflow

Harness your data in any format or environment. Our open engine, along with an extensive partner and API ecosystem, enables seamless data integration across your organisation—from any database and data warehouse to object storage and local files. Wherever your data resides, you can leverage it for generative AI and multimodal machine learning, incorporating categorical, text-based, image-based, and geospatial inputs.

Accelerate your AI development and deployment. Use one-click deployment to automatically generate an endpoint that integrates predictions and outputs into downstream business applications and tools. Leverage pre-built, customisable Application Templates to rapidly develop AI-powered applications and interfaces for business users that are accessible via a shareable link.

Simplify your AI application infrastructure. Focus on delivering AI/ML models without worrying about resource management, machine provisioning, or relying on IT for extra capacity. Securely share AI applications with managed authentication and reduce prediction latency while autoscaling tasks like updating vector databases to enhance performance.

Model Serving and Monitoring

Optimise model serving efficiency. Choose the best deployment method for your needs with diverse model serving options, ensuring performance, scalability and seamless integration. Simplify model serving with automated tools, APIs, and an intuitive interface, enabling efficient predictions and easy maintenance of AI/ML models in production.

Gain consistent performance insight. Efficiently assess and analyze generative and predictive AI models with standard out-of-the-box metrics, ensuring that only high-quality models are in production, no matter where they were built.

Enterprise Security and Scale

Ensure enterprise-grade security. Connect to any endpoint – on-prem, multi-tenant or single-tenant SaaS – and take advantage of robust security options.

Scale cost-effectively with GPUs. Accelerate AI/ML workflows with DataRobot’s NVIDIA GPU integration, delivering faster inference and training. Minimize bottlenecks, achieve enterprise scale quickly, and leverage GPUs more cost-effectively than other solutions.

Maximise user adoption. Weave AI into the fabric of your organization to amplify impact and enable AI-driven decision-making across more users. Seamlessly integrate with your existing business intelligence and chat platforms to empower your business stakeholders with generative and predictive AI applications.

03 AI Expertise

Services

Delivering rapid impact with world-class engineering, data science, and project management expertise.

Services Offerings

Our services are designed to accelerate your goals throughout your AI journey.