Obviously AI

API access allows you to integrate Obviously AI models into your existing software applications. To use it, you need to sign up for a plan that includes API access. Once you have access, follow these steps: Step 1: Log in to your Obviously AI account. Step 2: Navigate to the API section in the dashboard. Step 3: Generate your API key. Step 4: Use the API key to integrate AI models into your application by making API calls. This enables seamless integration and deployment of predictive models.

Dedicated Data Scientists at Obviously AI are highly qualified professionals with extensive experience in data science and AI. They hold advanced degrees in relevant fields and have a proven track record of building and deploying AI models. These professionals are skilled in data cleaning, feature engineering, and model optimization. When you choose the Data Scientist plan, you get access to their expertise, ensuring your AI projects are handled by experts.

A prediction refers to the output generated by an AI model when it processes new input data. In Obviously AI, a prediction could be a classification (e.g., whether a customer will churn), a regression output (e.g., predicting sales numbers), or a time series forecast (e.g., predicting stock prices). Each time the model processes new data to provide an outcome, it counts as a prediction. This helps businesses make informed decisions based on the AI analysis.

To use Obviously AI, follow these steps: Step 1: Sign up and log in to your Obviously AI account. Step 2: Upload your dataset to the platform. Step 3: Select the type of AI model you need (classification, regression, time series). Step 4: The tool will automatically process the data and build the model. Step 5: Review the prediction quality and fine-tune if necessary. Step 6: Deploy the model using the provided REST APIs. Step 7: Start making predictions using your no-code AI model.

With Obviously AI, you can build three main types of models: classification, regression, and time series models. Classification models help with tasks like customer churn prediction, fraud detection, and lead conversion analysis. Regression models predict numerical data trends such as sales numbers and costs. Time series models are used for forecasting data that varies over time, such as stock prices and demand planning. This variety makes the tool versatile for different predictive needs.

Predictions generated by Obviously AI are known for their high accuracy. The tool uses advanced algorithms and automated data processing to ensure precise prediction quality. Additionally, users can review and fine-tune models to improve their accuracy further. By leveraging machine learning techniques, Obviously AI delivers industry-leading results suitable for various business applications, helping users make reliable data-driven decisions.

Yes, Obviously AI is designed to be easily integratable with other tools. It provides REST APIs that enable seamless connection with your existing software applications. Whether you need to integrate with business intelligence tools, CRMs, or custom software, the API access allows you to deploy AI models across your workflows. This ensures smooth and efficient implementation of AI-powered predictions into your business processes.

Obviously AI offers robust support options to its users. Depending on the pricing plan, support includes chat via Slack, email assistance, and zoom calls. The response times range from instant to 72 hours, ensuring that users get prompt help with their queries. The dedicated Data Scientist Support plans provide even more personalized assistance, making sure users have the necessary guidance to maximize the tool's potential.

Pricing for Obviously AI is based on different plans tailored to various user needs. The entry-level plan starts at $999/month and includes full access to the software, unlimited requests, and 72-hour support response time. The premium plan, priced at $1999/month, also provides code files and three monthly Zoom calls. For larger teams requiring express support, custom pricing is available upon inquiry. Each plan offers extensive features to suit different business requirements.

Obviously AI supports various types of data for building AI models. Users can upload structured data formats such as CSV files, which typically contain rows and columns of data. The platform processes this data, whether it's transactional, behavioral, or time-series data. This flexibility allows users from different industries to upload relevant datasets and create predictive models tailored to their specific needs, be it customer behavior analysis, sales forecasting, or operational optimization.