DataRobot Enterprise AI Suite: driving the next evolution of AI for business

After talking to hundreds of AI teams around the world, one thing is clear: the only certainty is uncertainty.

From Boston to Dubai, I hear the same stories: AI teams feel stuck.

Leaders are forced into two bad choices – build AI from scratch or buy a point solution that doesn’t quite fit.

Confidence in AI just isn’t there yet; it is not reliable enough for most businesses to fully rely on.

And in general, many teams lack the full set of skills or expertise needed to truly deliver on the promise of AI.

At DataRobot, we understand the stakes. Since our founding, we’ve focused on AI that delivers meaningful impact and solves challenging AI problems, which is why I’m excited to announce the DataRobot Enterprise AI Suite.

Introducing the DataRobot Enterprise AI Suite

Our commitment to helping organizations achieve meaningful results with AI has led us to create the Enterprise AI Suite – a comprehensive solution comprised of customizable AI applications built on a flexible platform.

This suite is designed to give you everything you need to bring AI to your business, secure AI results, and empower your AI teams.

AI that works where and how your business teams want.

We intimately understand the complex and multifaceted challenges AI teams face when trying to ensure that AI fits seamlessly into stakeholder workflows, tools of choice and precise business requirements.

That’s why we’ve created a fully customizable suite of AI apps to meet your unique business needs and make it easy to incorporate AI wherever your users work—whether in a stand-alone app, SAP apps, or tools like Slack and Microsoft Teams.

A few AI techniques at your fingertips.

We also appreciate that your organization’s needs are not one-size-fits-all. You need different AI techniques to create results that make sense for your business.

Our suite gives you and your team the flexibility to apply AI techniques that align with your business goals—whether it’s agent flows, predictive analytics, or search augmented generation (RAG)—allowing you to address different use cases with confidence.

Streamline collaboration.

One thing we often hear is how challenging it is for teams to work together effectively to develop, implement and manage AI outcomes. Pipelines are often fragile and complex, and passing projects from one team to another can feel like an uphill battle, making it difficult to get AI solutions into production efficiently.

To ease this burden, we’ve designed our AI app development platform with tailored tools to equip each team member with what they need—without the hassle of connecting multiple tools.

You have the flexibility and control to integrate and work with the tools you prefer, access the most popular LLMs and models, or bring your own.

And to accelerate development and delivery even more, our platform automates the most demanding steps, from data preparation and testing to CI/CD pipelines and governance.

Think of the efficiency, collaboration, reliability, transparency, and quality assurance that DevOps brings to software developers.

This is what we do for AI.

By giving everyone on your AI team the exact tools and techniques to work how and where they want, while ensuring seamless collaboration between project handoffs, we ensure the integrity of your AI model is maintained from start to finish.

The combination of our AI application building platform, various AI techniques, and fully customizable applications that seamlessly integrate into business workflows is why leading Fortune 500 companies turn to DataRobot. We are able to help them increase their hyperscaler investment and scale AI, delivering 10x the number of use cases.

We’ve also launched more than 30 new, cutting-edge features within our enterprise AI suite.
In future blog posts, you’ll get a deeper insight into what these are, but since I believe some will have a huge impact, I want to highlight a few that I’m most excited about.

Bring artificial intelligence into your business

Despite billions invested in AI, only a third of AI teams feel equipped with the tools needed to meet their business goals. Generative experience with AI applications and implementing AI into the business were two of the top unmet needs facing teams.

Two new features are proposed to address these specific challenges.

Customizable apps and AI agents

We’ve codified the most common technology patterns in AI use cases into fully customizable templates, drawing on decades of applied AI experience and thousands of different deployments.

This gives you and your team complete control over business logic, application logic, security, management, and user experience, allowing you to focus on results instead of stacking pipelines.

Once apps are built, they can be shared as templates or added to our AI app gallery for others to use and build on.

Embedding AI in popular business applications with one click

Because AI isn’t always used in standalone apps, we’ve added one-click embedding for Slack, Microsoft Teams, and SAP.

As SAP’s only AI partner of choice, we’ve made it easy to integrate your applications and monitoring agents into the SAP ecosystem. With direct access to SAP Datasphere and AI Core, your models are closer to your data, which means faster and more efficient evaluation.

Secure your AI results

For more than a decade, we’ve worked with AI leaders in highly regulated industries such as finance, healthcare and government, making AI security and governance a central focus.

This experience has shaped our approach to regulatory, security and risk management and enhanced our operational understanding that as you scale, your risk grows exponentially with the surface of your AI.

Now, as generative AI and agent-based workflows add new layers of complexity, we leverage our experience to help keep your AI solutions secure and compatible in production.

Our new industry-first tools help you ensure consistent and reliable oversight as you scale:

Regulation-ready AI and one-click generative AI compliance reports

With increasing regulations such as the EU AI Act, NYC Law No. 144 and California law AB-2013, compliance can be complex and time-consuming.

Our one-click generative AI reports simplify this process by mapping key requirements directly to your documentation, streamlining risk model management (MRM) and compliance processes.

And because we know that achieving compliance is only the first step, we’ve implemented management testing and alerts to help you stay compliant, adapt to evolving standards, and reduce manual review time.

We’ve been providing compliance documentation for predictive AI for years, and we’ve seen firsthand how it accelerates MRM processes, scales operations, and increases AI solutions tenfold in manufacturing. Extending this capability to generative AI was a natural next step.

Red team AI testing and additional observability shield

Brand reputation and risk management are top of mind for AI leaders implementing generative AI, and manual security checks can’t always keep up.

To address this, our new red team testing will flag vulnerabilities such as identity leaks, rapid injections, toxicity, and obfuscation, so you can maintain security and compliance with less effort.

Additionally, our new add-on observability offers real-time monitoring for any generative AI application built on the DataRobot platform. With a single line of code, you can:

• Create an AI firewall that provides observability, intervention and moderation across all your agentic and generative AI solutions.
• Apply enterprise control, real-time supervision, and moderation to components such as LLMs, vector databases, and RAG streams.

Boost your AI teams

Unlocking the full potential of artificial intelligence requires overcoming technical hurdles that can take an average of seven months to develop a model. And since most AI projects go through five different teams that use an average of seven different tools and twelve coding languages, the process is often fragmented and complex.

This fragmented approach leaves teams entangled in tools instead of achieving results and growing their skills.

We’ve always prioritized giving teams the flexibility to work in the environments they prefer, with smooth transitions between code and GUI, predictive and generative.

That’s why we prioritized giving teams the flexibility to work in their preferred environments and ensure smooth transitions between code and GUI, predictive and generative models.

Our latest release goes even further with new building blocks that simplify the development process from start to finish.

• Coding blocks: These highly scalable coding blocks remove code complexity, streamline collaboration, accelerate production, and simplify maintenance over time—creating a seamless path to building complex AI applications.
• Automated data preparation: We’ve minimized the manual and complex work required to make data AI-ready for both predictive and generative applications. Enhanced capabilities, including automated data healing, statistical visualization, and feature discovery, help you go from raw data to feature engineering and modeling in minutes instead of hours.
• Multimodal incremental learning and unstructured data processing: With our new incremental learning across different types of data, your teams can finally unlock the full potential of your organization’s data. This unique approach enables teams to address a wide range of AI use cases without limitations on data size or type, efficiently process data, avoid overfitting, improve accuracy, and control computational costs.

In addition, built-in optical character recognition (OCR) transforms unstructured documents into AI-ready generative data, speeding up model training and improving results.

AI that works for your business

The future of AI is about more than just technology – it’s about solving real business challenges in a way that makes sense for your organization.

Imagine AI seamlessly integrated into your workflows, evolving to your needs and empowering your teams to make smarter decisions faster.

This is just the beginning. With the right tools and techniques, you can unlock new potential, streamline processes and increase real value.

The road ahead is full of possibilities and it is up to you to take the next step.

To learn more, check out the full suite of DataRobot products.