Data science and AI always go together

Partner with your data science team to develop models and analyze data within a single AI-driven platform.

Helping organizations utilize the best LLMs out there

Make AI work for your data team

Data science teams have observed a 12x increase in productivity for tasks such as predictive modelling, data cleansing, and insight generation

Generate code for data tasks

Write boilerplate code for common data science tasks

Design experiments

Outline methodology for A/B tests and other experiments

Interpret results

Explain complex model outputs in simple words

Review literature

Summarize relevant research papers for data science projects

Choose the right AI model for the task

Choose the right model for each task directly in your chats – from ChatGPT to Claude. Switch models mid-conversation to leverage each one’s strengths.

Upload and analyze files and image.

Work together in an AI-driven collaboration hub

Turn your data team into a productivity powerhouse in an all-in-one AI workspace. Share chats and findings with your team in real-time.

Upload and analyze multiple files with AI – from PDFs and spreadsheets to code files and images.

Keep your work organized

Store all work in structured Projects. Control access at every level by setting permissions for different team members and departments.

Set Custom instructions to guide the AI responses – from preferred coding styles to specific analysis approaches to maintain consistent results.

Team-GPT can help
Data Scientists with:

Data Cleaning

Spot and correct typos, inconsistencies, and missing values

Pinpoint outliers that may signify errors or special cases

Data Transformation

Automatically generate new, useful features for your analysis

Normalize or scale features for comparability

Data Enrichment

Supplement datasets with external data such as economic indicators or social media trends

Impute missing values based on existing data patterns

Data Integration

Resolve entities and ambiguities from different data sources

Match schemas from separate data sources to a common structure

Predictive Data Quality

Foresee and handle quality issues before they impact your results

Maintain high standards of data quality that directly influence predictive

Data Anonymization & Privacy

Anonymize data to preserve privacy while retaining its value

Implement differential privacy to ensure insights do not infringe on individual privacy

[EDA]
Exploratory Data Analysis

Investigate complex data and reveal underlying structures with AI's assistance

Identify key trends and correlations that might drive strategic decisions

[NLP]
Natural Language Processing

Preprocess text data by tokenizing, stemming, lemmatizing, and removing stopwords

Perform sentiment analysis to extract key insights from text data

See how Team-GPT works

Simplify the path to extreme productivity

Get started with Team-GPT in 3 simple steps

Discover Use Cases

Explore our library of AI use cases tailored to your industry and team needs

Customize & Collaborate

Modify use cases to achieve your specific goals and collaborate seamlessly with your team

Implement & Scale

Deploy the use cases across your organization and watch as AI transforms your productivity

What our customers are saying

Team-GPT has transformed our M&A advisory services. We’re now able to handle more deals, with greater accuracy and efficiency, ultimately delivering superior results for our clients.

Christian Bax
Partner,
Head of US Operations

The key factors to consider are collaboration capabilities, flexibility to adapt to different AI models, avoidance of dependencies on major providers, and robust data security measures. In our experience, Team-GPT effectively met all these criteria, making it the right choice for our needs.

Michael Frank
Co-CEO

Team-GPT allows us to organize conversations and prompts into easily accessible folders, manage multiple AI models, and create more dynamic, variable-based prompts.

Tom Conger
Executive Director

Utilizing the usage analysis that Team-GPT provides, we were able to create a trackable plan for adoption and accelerate AI adoption across the board.

Kris Vachev
AI R&D Lead

Frequently asked questions

Can’t find what you’re looking for here? Feel free to reach out: [email protected]

Is the platform suitable for large scale data projects?

Yes, whether you’re managing big data or more focused projects, Team-GPT scales to meet your needs without losing efficiency.

How does Team-GPT handle data privacy and compliance?

Team-GPT was built with enterprise security, privacy, and compliance in mind from day one. Check out our Enterprise solution where you can choose between on premise deployment or any cloud provider (Vercel, AWS, Azure, GCP, etc.) to keep your data 100% safe.

Can we track how different team members are using AI for data science tasks?

Yes, workspace admins can access Reports to monitor AI usage patterns, helping optimize team workflows and identify areas where additional training might be helpful.

How does collaboration work in real-time?

Team members can share chats comments in real-time, and fork conversations to explore different solutions. Everyone can see updates instantly and contribute to the discussion.

What happens to the AI conversation if we switch models mid-chat?

When you switch models, the new model maintains the context of your conversation, allowing you to leverage different models’ strengths without losing the context.

Speed up work with pre-made prompts, use cases, and editable AI Pages

The right AI tools to ensure knowledge-sharing and improved productivity

Unlock your workspace’s full potential with powerful language models

Safeguard your data at every step, ensuring a seamless and secure experience

Read story ->

Data science and AI always go together

Make AI work for your data team

Choose the right AI model for the task

Work together in an AI-driven collaboration hub

Keep your work organized