19 Best AI Platforms for Marketers and Marketing Analysts in 2023

If you’ve used newly accessible generative AI tools, you’ve likely realized how many tasks you can streamline in just seconds.

The right AI  platforms can help you or your business bridge the gap between cutting-edge algorithms and real-world applications, enabling AI systems to mimic human processes like reasoning, learning, and even social intelligence.

But, with so many AI platforms hitting the market, the minutes you save using ChatGPT might be eaten up by hours of vetting which AI platforms and features are right for you. 

In this post, we’ll help by highlighting 19 great AI platforms, organized into these categories:

Best AI Platforms for Marketers
Best AI Platforms for Conversational Marketing
Best AI Platforms for Marketing Analysts & Tech-Savvy Marketers
Best AI Platforms for Developers


Best AI Platforms for Marketers

HubSpot AI

Get started with HubSpot AI.

HubSpot Marketing Hub offers AI tools including Content Assistant, a content creation tool for bloggers and web copywriters. 

Specifically, Content Assistant can help you generate topic ideas for blogs, create blog outlines, write paragraphs, professional prospecting or marketing emails, and more within a Marketing Hub account. 

HubSpot’s also launched ChatSpot, a free conversational bot that can provide you information about your CRM. With ChatSpot, you can use a chat interface to ask a question or give commands related to your CRM to get a generative AI response. For example, you can ask it to give you contact details, send follow-up emails, pull reports, and create new contact segments.

Key features:

Generate blog, marketing, and email copy. (Content Assistant)
Get content topic and tone suggestions. (Content Assistant)
Command CRM-related tasks (ChatSpot)
Request auto-generated information related to your CRM (ChatSpot)

Price: HubSpot AI features, in Public Beta and Alpha, are free with additional features available to premium customers. Learn more or sign up here.



OpenAI, known for its GPT (text generator), Dall-E (image generator), and Whisper (speech recognition) models, also provides businesses with tools and platforms that can be used for streamlining and even site or product features. In fact, you might have interacted with one of OpenAI’s GPT integrations on platforms of customers like Stripe, Duolingo, or Morgan Stanley. 

Its OpenAI API enables developers and researchers to explore, experiment, and leverage AI models and frameworks. 

With safety and ethical concerns being common with the evolution of this type of technology, OpenAI claims its tools were built with security and safety mechanisms in mind.

For example, for teachers and other professionals that worry about AI-based plagiarism, OpenAI offers GPT-detection tools. Businesses deploying OpenAI features can also add “moderation endpoints” to their models to monitor, filter, and limit responses to inappropriate queries or language misuse.

Key features:

GPT: reasoning, creative and technical writing tasks
Dalle-E: image generation
Whisper: speech transcription

Price: Detailed pricing is available on this page.


MindMeld is a conversational AI platform that enables businesses to build intelligent and natural language processing (NLP) capabilities, such as chat features or auto-generated reminders, around their workplace applications. 

With MindMeld, organizations can create voice and chat experiences that understand user intent and engage in contextually aware conversations.

MindMeld, which offers models and frameworks compatible with Python, has pre-made conversational AI “blueprints” for business scenarios that virtual assistants or service reps might commonly handle via instant messaging, including online banking support, home assistant tasks, online food ordering, and human resources questions.

Key features:

Knowledge base creation
Natural language processing
Question answering
Dialogue management
Conversational AI Blueprints

Pricing: Pricing is available upon request.



Rainbird is a cloud-based decision-making platform for businesses. It uses a data-first approach, enabling you to import data from external sources or use data from your internal systems. The data is synthesized with its graph-based decision engine called Studio.

With blueprints for revenue assurance, price optimization, liability assessment, and more, you’ll be able to start with a solid foundation. Rainbird also enables integrations with platforms like Microsoft Power Automate.

Key features:

Graph-based decision engine
Built-in workflow tool
Data insights

Pricing: Pricing is available upon request.

Best AI Platforms for Conversational Marketing



Rasa is a conversational AI platform that allows you to customize and adapt your virtual assistant to your business needs. Its open-source nature also enables you to integrate it into existing systems and data sources.

With Rasa’s machine learning capabilities, you can train your models to understand and respond accurately to complex user or customer inputs (such as message-based comments or questions). Rasa’s natural language processing engine learns from conversations and continuously refines itself, enabling your virtual assistant to provide contextually relevant and personalized responses.

Rasa ChatOps, a combination of Rasa and DevOps practices, lets you deploy and manage your conversational agents across different channels, be it web chat, messaging apps, or voice interfaces. 

Key features:

Open-source conversational AI
Machine learning
Automatic refinement

Pricing: Pro and Enterprise pricing is available by request..



Wit.ai enables people to interact with your products using voice and text. Through this platform, you can create bots people can chat with on their preferred platform — for example, Facebook messenger.

The “Train Your App” feature turns what users say into actions. In order to unlock that capability, you can enter samples (called utterances) of what your users would say. Wit.ai also supports the development of mobile apps, smart home integrations, and wearable devices. However, if you want to use Wit.ai, you will need to sign up through Meta.

Through Wit.ai, you will be able to create your own app.

Key features:

Voice and text-based conversational AI
Supports 132 languages
Tutorials on the site

Pricing: Wit.ai is free.



Dialogflow is a Google conversational AI platform with virtual agents. Dialogflow features a visual flow builder which consists of interactive flow visualizations, omnichannel implementation, and natural language understanding (NLU) models that are capable of recognizing intent and context.

Key features:

Visual flow builder
Omnichannel implementation
NLU models

Pricing: Virtual Agent pricing varies, but the 2023 version of CX Agent costs $.007 per text request, $.001 per second of audio in/output. CX Agent with data from June 2020 or earlier costs $20 for every 100 text sessions or $45 for every 100 voice sessions.

Best AI Platforms for Marketing Analysts and/or Marketing Ops

Google Vertex AI


Google Vertex AI enables organizations to build, deploy, and scale machine learning (ML) models

The platform’s “Model Garden” contains pre-trained and custom models for accelerating ML development, including APIs, foundation models, and open source models. You can also build generative AI apps with the Model Garden and Generative AI Studio features. 

Once you’ve launched a machine learning model, Vertex’s machine learning operations (MLOps) feature lets you scale, manage, and monitor your workloads.

Key features:

End-to-end ML operations (MLOps) tools
Data and AI integration
Low-code and no-code tooling

Price: Tools and features vary in price but range from $.0001 for every 1000 text characters input with no output charge, to $.0010 per 1000 characters input or output. 

DataRobot AI Platform


Businesses can also use DataRobot’s platform  to build, deploy, and manage AI models., while automating complex tasks, like data preparation, feature selection, model selection, and model deployment).

The open, end-to-end AI lifecycle platform, is also designed for multi-cloud operations, offering organizations the flexibility to operate on various public clouds, data centers, or at the edge. 

DataRobot can also unify performance data from any source so organizations can quickly access and analyze the AI lifecycle. 

Additionally, DataRobot AI Platform is modular and extensible, allowing businesses to build upon existing applications, infrastructure, and IT operations systems for streamlined and efficient AI implementation.

Key features:

Task automation and streamlining features
Governance features for security
Multi-cloud operations

Price: Pricing is available upon request.



TensorFlow is an open-source software and machine learning model (MLM) library that helps businesses, analysts, developers, and researchers to run, organize, transform and graph data with numerical computations (in simple terms – solving complex math problems with formulas upon formulas). 

In these graphs, or nodes, represent mathematical operations (like complex multiplication, division, exponentiation), while edges represent the exchange of multidimensional data arrays (known as tensors).

With its flexible, open-source architecture and application programming interface (API), TensorFlow lets users build, deploy, and monitor ML-based computations on various devices, including desktops, servers, or mobile devices. Users can also run models across one or more central processing units or CPUs (also thought of as “control centers”) and graphic processing units (GPUs), through a unified programming interface.

While this affordable platform can perform many complex tasks, keep in mind that the company recommends having knowledge of Python, C++, or JavaScript, so it might require a steep learning curve for marketing teams without this training. 

However, if you’re interested in expanding your skills, you can learn more about Python and other languages on our Website Blog.

Key features:

Process and load data
Build and deploy ML models
Implement ML operations (MLOps)

Price: Free

Microsoft Azure


Microsoft Azure is a portfolio of AI services tailored to developers and data scientists. You’ll be able to access vision, speech, language, and decision-making AI models through API calls

Additionally, you can create your own machine learning models using an AI supercomputing infrastructure, tools such as Jupyter Notebooks or Visual Studio Code, and open-source frameworks like TensorFlow and PyTorch. 

This platform also features knowledge mining, conversational AI, document process automation, machine translation, and speech transcription.

Key features:

Machine learning
Knowledge mining
Conversational AI

Price: Varies based on seats and software needs. Most paid tiers start at $167/month but include free add ons.

Watson Studio


IBM Watson Studio allows data scientists, developers, and analysts to create and manage AI models. It can be used on IBM Cloud Pack for Data, enabling teams to collaborate and automate AI processes. 

With Watson Studio, users can leverage open source frameworks like PyTorch and TensorFlow, as well as programming languages like Python, R, and Scala. Jupyter notebooks, JupyterLab, and command-line interfaces can also be used for data analysis and visualization.

Key features:

AutoAI to automatically build model pipelines
Graphical flow editor to cleanse and shape data
Open source notebook support

Pricing: Free ‘Lite’ tier available. Professional add ons start at $1.02 per capacity unit hour/month. (Price does not include tax)



NVIDIA offers solutions like cloud and edge computing for various AI workloads including machine learning, deep learning, and data analytics. With its ecosystem comprising graphic processing units (GPUs) and other processing technologies, NVIDIA AI aims to speed up the process of gaining insights. 

One of NVIDIA AI’s proprietary features, called CUDA-X AI, is a collection of libraries, tools, and technologies that could help accelerate development and deployment of applications across multiple domains. 

NVDIA also supports generative AI capabilities that can help marketers and web creators once deployed, like text generation, summarization, chatbots, image creation, and video generation. Other AI capabilities NVIDIA supports include training, data analytics, inference making, generative voice models, transcription, as well as cybersecurity.

Key features:

Generative AI
AI training
Data analytics

Pricing: Pricing is available upon request.



For those whose roles mix marketing, budgeting, retail, or finance tasks, SymphonyAI offers AI solutions for financial tracking, risk management, crime detection and fraud prevention in retail, banking, finance, and insurance industries.

It also offers features to help businesses with regulatory compliance, including identity verification, watch list screening and management, anti-money laundering (or AML) monitoring.

Key features:

Regulatory compliance features
Payment fraud prevention and detection
Financial markets risk management feature for financial trading

Pricing: Pricing available upon request.

Best AI Platforms for Developers



H2O is an open-source software that provides support for various machine learning tasks, from quick data ingestion and transformation, to advanced model building and model interpretation.

With H2O, users can simultaneously build and evaluate thousands of models across multiple machines. Additionally, H2O offers AutoML capabilities for developers looking to automate the model selection and tuning (or adjusting) machine learning parameters.

Key features:

Open-source, multi machine capabilities
Automated ML tasks
Large language model and generative AI tools.

Pricing: Pricing is available upon request.



PyTorch is a deep learning framework for building and training neural networks. PyTorch uses a computing mechanism called automatic differentiation to help update and optimize models.

The wide range of pre-trained models and architectures available in PyTorch Hub allows you to jumpstart your projects with transfer learning – an ML technique where a trained task is then remembered and used in other tasks and model development.

The platform is also equipped with educational resources, like tools and libraries of documentation.

Key features:

Updates, optimizes, and helps develop deep learning models
Ecosystem of tools and libraries
Cloud support

Pricing: Free



GitHub has collaborated with OpenAI to develop an AI development tool called GitHub Copilot. Powered by OpenAI’s Codex model, a GPT-3 successor that translates natural language into code, GitHub Copilot offers at-scale generative AI capabilities for developers. With GitHub Copilot Voice, you can give natural language prompts.

Key features:

Chat interface in the editor
Verbally give natural language prompts

Pricing: Free



Government institutions, enterprises, and startups have all used OpenCV for its AI vision applications, like computer vision, which can detect product issues or analyze behavior; and face recognition, which can identify people and facial interactions.

For example, the platform’s been used processes like  factory product inspection, medical imaging, security analysis, human-machine interfaces (such as touch screen dashboards on large machinery), camera calibration (such as anti-blur or color stabilization), stereo vision (3D vision), and robotic vision (AI vision specifically used to help robots/machines detect tasks).

How could you use this in marketing? Well, as the world becomes more hybrid, and marketing grows more reliant on first party data, you could leverage it to gather in-store customer behaviors, reactions to products, sentiment analysis of reactions to public ads, or deeper emotional analytics in focus groups or video-call based research where you’re permitted to record.

Additionally, if swag or products produced by your company directly are part of a bigger campaign, these tools could help manufacturers ensure what you send out is on point and detect low-quality issues.

Key features:

Cloud, local, or edge device deployment
Computer vision

Pricing: OpenCV is free.



A deep learning framework, Keras offers a user-friendly interface that simplifies the complex process of building neural networks. Its intuitive API allows you to quickly define, train, and evaluate models, eliminating the need for low-level coding.

Powered by TensorFlow, an end-to-end open source machine learning platform, Keras provides an extensive library of pre-configured layers, activations, and optimizers that can be customized to suit your specific needs.

Key features:

Extensive documentation
Model training, activation, and monitoring
Deploy anywhere

Pricing: Free

Get Started With an AI Platform

The world of AI is quickly changing and businesses that don’t adapt risk falling behind. AI platforms serve many purposes, from powering chatbots to enabling app-building.

Learn more about how to leverage HubSpot AI products for your business.

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