Be Better. Privately.

We make it really easy for you to Be Better.

The Future is g-AI

Every tool you've ever used since the spreadsheet is being redesigned from the ground up with generative AI. Futurum One helps you Be Better. Privately.

Your Data

100% Private

Your data is kept exclusively on your computer. Not a single employee gets to see any of your g-AI activities.

instant adoption

Templates for You

Best practice G-AI templates pre-built for every job at every company in every industry. Adopt company-wide and get access to Prompt Engineering Team for custom prompts throughout the org chart.

cutting edge

Only the best

Engines powered by OpenAI GPT4, front-end processes designed by Enterprise Strategists, revolutionising today, and shaping tomorrow.Sign up for early access to our Infinite Intern.

Pocket friendly

Simple Pricing

80% of users see >10x ROI in the first 30 days.



– Access to 200+ person Prompt Engineering team.
– Limitless access to department-specific pre-built prompts.
– Limitless Prompt Templates.
– Limitless Folders.
– Limitless Custom Variables.
– Limitless Potential.
The Team
+ Drive higher productivity and results with superior AI efficiency.
+ Experience smooth user interactions with advanced semantic comprehension.
+ Save time and effort thanks to optimised output generation.
+ Ignite innovation with AI-assisted creative content production.
+ Get early bird access to new features, keeping you ahead of emerging trends.
Perfectly suited for forward-thinking organisations aiming to provide the best resources, tools, and support for their employees.

Be Better. Privately.

Meet the g-AI Experts

Explore the potential for generative AI to revolutionise your operations with one of our G-AI strategists. Walk away from the meeting with a clear strategy to maximise productivity and stay competitive.

Made with ❤️ by Futurum One 2024

Be Better. Privately.

Data Privacy

At Futurum One, safeguarding customer data is integral to our mission. We do not train our models on any input and output data through our Futurum One Subscription.

Our Commitment
We, at Futurum One, are committed to protecting customer and user data which is fundamental to our Subscription offering and our mission. Our platform adheres to strict data security and privacy standards that organizations demand.

Our pledge includes:
Not training on user data or metadata submitted through our Futurum One Subscription unless the user explicitly opts in.
Striving for transparency about our data handling practices and policies.
Dedicating ourselves to maintaining robust, enterprise-grade security and constantly improving our security measures.

Model Usage and Training
Our models undergo a two-step training process: An initial training phase to grasp data patterns, and then reinforcement learning from human feedback (RLHF) to deliver safer and more aligned outputs. Every system undergoes comprehensive testing and safety precautions before deployment.
When a request is made to our models via the Subscription, the input data is processed by the model to generate a prediction. Subscription inputs and outputs do not become part of the training data unless explicitly opted in.Our models are made available via our Futurum One Subscription post-training. They are statically versioned, without real-time updates or retraining with Subscription requests.
Sources of data for training our models may include:
– Publicly available data.
– Data licensed from third-party providers.
– Data created by human reviewers.
– Data submitted before March 1, 2023 (unless organizations opted out).
The models are not trained on data submitted post March 1, 2023 through our Subscription, unless explicitly opted in.
Fine-tuning a model helps adapt it to specific tasks. Our Subscription facilitates the fine-tuning of certain models using prompt-completion pairs uploaded via training files.
Your organization's uploaded training file is used exclusively to fine-tune a model, and is not used by Futurum One, or any other organization, to train other models. Outputs from fine-tuned models are not used to train your or any other models.
While Futurum One retains ownership of fine-tuned models, they are exclusively accessible to your organization. Your organization's training files or fine-tuned models can be deleted at any time via an API call.
Model Outputs
The output generated by our models is a prediction built from its training learnings. These predictions are not directly derived from the training data.

Customers retain all rights to their inputs and ownership of all outputs. We do not restrict customer use of outputs as long as it complies with Futurum One's Usage Policies and Terms of Use.
We maintain a security program for implementing and maintaining enterprise-grade security in our products and services that includes SOC2 Type 2 compliance, GDPR, CCPA and other state privacy laws, and HIPAA (via Business Associate Agreement).

Abuse Monitoring
We are committed to the safe and responsible use of our models. For potential abuse detection, we may classify Subscription inputs and outputs, retaining them securely for up to 30 days. After this period, the inputs and outputs are permanently deleted unless we are legally mandated to keep them. We do not train our models with this data.
Data Access
Only authorized Futurum One employees or regulated third-party contractors involved in developing, delivering, and protecting our Subscription services can access this data for potential abuse investigations, enquiry responses, or to comply with legal obligations.
Zero Data Retention
We understand the sensitivity of the data our customers handle, which may fall under data protection regulations. You can request zero data retention (ZDR) for eligible endpoints. With approved ZDR, inputs and outputs aren't stored, but may still be run through our safety classifiers.
Addressing Policy Violations
We may prompt customers to adjust their usage if we identify violations of our usage policies. Repeated or serious violations may lead to suspension or termination of the customer's account.
Please refer to for more information.

Made with ❤️ by Futurum One 2023

Data Workflow Document for Futurum One PlatformObjectiveThe purpose of this document is to provide a comprehensive overview of the data workflow within the Futurum One platform, from initial user input through to storage and display, whilst upholding stringent data integrity and security protocols.Data Entry and User Interaction1. Initial User Input via UI:
- Users commence interaction with the platform by inputting data (e.g., text entries) through various user interfaces provided by the Next.js framework. This data can range from simple queries to complex multi-step commands.
2. In-Memory State Management:
- Upon data entry, the platform employs React's useState and useContext hooks to manage the data in-memory. This in-memory state temporarily hosts data as it goes through the system, allowing for real-time UI updates and immediate user feedback.
3. Local Storage for State Persistence:
- Actions such as submitting a query or closing the application trigger the storage of the current state within the user's browser localStorage. This ensures a seamless user experience, as the application's last state is preserved even after a browser refresh or restart.
4. SSO Verification Mechanism:
- To guarantee secure access, the platform requires users to authenticate via Single Sign-On (SSO) prior to accessing or modifying data stored in local storage or prior to initiating actions that would result in an API call to OpenAI's services.
API Interaction and Data Processing5. Initiating Secure API Requests:
- When the application requires external data processing, such as interactions with the AI or accessing additional datasets, it sends a secure API request to OpenAI. These requests are encrypted using HTTPS to ensure the integrity and confidentiality of data in transit.
6. Data Processing by OpenAI API:
- Upon receiving the request, OpenAI's AI models process the provided data. This processing involves the interaction with highly advanced machine learning models to generate a response based on the user's input.
7. Reception of API Responses:
- Once OpenAI completes the processing, the generated response is sent back to the Futurum One platform, again via HTTPS to safeguard the data in transit.
UI Update and Data Display8. State Update with API Response Data:
- The application's state is updated with the new data received from OpenAI. This state update is managed by React's state management system and facilitates immediate responsiveness in the user interface, reflecting the results of the processed data.
9. Update and Retrieval from Local Storage:
- Concurrently with the state update, the new data is also saved in localStorage. This ensures that the application's state is resilient against disruptions, such as loss of internet connection or power outages.
10. User Interface Reflects Output Data:
- In the final step, the user interface is updated to visually present the processed data from the API response. The UI components re-render to display the latest interaction results, completing the user's data journey through the Futurum One platform.
Ensuring Data Integrity and Security- Comprehensive SSO Authentication: Access to data and API interactions are gated behind a robust SSO authentication process, ensuring only authorised users can reach sensitive operations.
- End-to-End Encryption: HTTPS secures all data exchanges, providing end-to-end encryption from the client to OpenAI servers and back.
- Local Storage Security: Browser localStorage follows a same-origin policy, inherently restricting data access to scripts running on the same origin as the originating document, thus preventing cross-origin attacks.
- API Security Practices: API keys and sensitive tokens remain shielded from client-side exposure and are only used in secure environments, following best practices for API interactions.
- Verifiable Data Processing Status: At each processing stage, clear indications or notifications inform the user of the ongoing status, ensuring transparency and accountability.
- Avoidance of Server-Side Persistence: The platform is designed to ensure that no user data is stored on servers after the API interaction is complete.
ConclusionThrough rigorous adherence to data security protocols and a strict client-side data handling policy, the Futurum One platform maintains the integrity and confidentiality of user data while providing seamless and secure service interactions. This data workflow demonstrates the platform's commitment to user privacy and data protection standards.