The Data Engine
for Generative AI Solutions

Our integrated data, AI data platform enables you to extract real-time metrics and predictive insights from all your data sources, and create custom AI solutions, simply.

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Start Creating a Real Impact
With Your Data (no coding needed!)

Leveraging your data with Large Language Models (LLMs) and Generative AI can transform your businesses by providing real-time insights and forecasts, enhancing decision-making processes.

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BIG PICTURE

We integrate and ingest data from anywhere, guaranteed

Rayven has dynamic integration nodes that enable 3rd party integrations by configuration (no coding needed!)

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50+ integrations

Rayven excels at connecting to any data source, aggregating diverse data streams into one centralized location. This capability simplifies data management, ensuring that all insights are derived from a comprehensive data set, which is crucial for accurate analysis and decision-making.

Advanced ETL Workflow Programming

The platform offers a sophisticated workflow programming toolkit for Extract, Transform, Load (ETL) processes, facilitating efficient data preparation and integration. This feature supports the automation of data workflows, enhancing efficiency and enabling businesses to focus on strategic activities rather than manual data manipulation.

Advanced Interactive Insights with LLMs and Generative AI

Utilizing Large Language Models and Generative AI, Rayven excels at analyzing complex data sets to generate deep insights. This advanced analytical power enables businesses to uncover hidden patterns, predict future trends, and make data-driven decisions efficiently.

Intuitive Drag-and-Drop Toolkit

The platform's user-friendly drag-and-drop toolkit is designed for both data professionals and developers, streamlining the process of building and deploying data models without requiring extensive coding expertise. This democratizes data analysis, making it accessible to a broader audience within an organization.

“We needed a way to show our senior leadership away to manage their resources more effectively, scale operations up or down as needed, and improve their overall efficiency. by combining historical data, seasonal trends, and current real time data, Generative AI was able to accurately forecast demand.

“We needed a way to track the quantity and quality of material being extracted and transported in real-time. This information helps our mining operations optimize their extraction processes, ensure that high-grade material is processed appropriately, and reduce waste..”

“We needed a way to analyze patterns in a building's energy usage to identify inefficiencies and suggest optimizations. By learning from historical data, including weather conditions, occupancy rates, and energy prices”

Challenge

Solve energy problems in buildings through various innovative and efficient ways, focusing on optimization, predictive analysis, and design improvements

SOLUTION

Combination of data collection (from sensors and IoT devices), sophisticated modeling techniques, and an integrated approach to building management systems

IMPACT

Transform the energy efficiency of buildings grows, offering a promising avenue for reducing energy consumption and environmental impact

SITUATION

For days, HubSpot manually tracked marketing metrics using Excel, Google sheets, and complex macros

SOLUTION

Logoipsum partnered with T2D3 to document their entire customer journey and map metrics at each stage

IMPACT

Logoipsum increased data accuracy by 76% and decreased manual data collection time by 4 hours per week

Energy

Energy forecasting, Power factor correction and more...

Logistics & Retail

Inventory optimization, DIFOT and more..

Mining

Load and hall optimization, OEE, Production Efficiency, Safety and more..

Infrastructure & Smart Cities

Air quality, noise pollution, water quality, people tracking and more..

IT & Cyber

Anomaly Detection, Log Monitoring and more..

Finance-&-Insurance

Fraud Detection and Risk Management, Financial Modeling, Insurance Risk Assessment and more..

Generative AI models, such as GPT (Generative Pre-trained Transformer) or DALL·E, require a vast amount of diverse data to train. These models learn patterns, styles, and information from the data they are fed. A platform that can integrate data from multiple sources ensures that the AI has access to a wide range of information, leading to more accurate and creative outputs.

Before training or running generative AI models, data must be cleaned and preprocessed. This includes removing duplicates, correcting errors, and formatting data consistently. A platform that can automate these tasks saves time and reduces the risk of human error, ensuring that the AI models have the highest quality data to learn from.

Generative AI applications often benefit from access to real-time data for tasks such as content creation, decision making, and predictive modeling. A platform that can integrate data in real-time enables AI models to produce relevant and timely outputs, significantly enhancing their usefulness.

As AI models grow in complexity, the amount of data needed to train them increases exponentially. A platform like Rayven can help manage this scalability by efficiently handling large volumes of data, ensuring that data ingestion, processing, and storage are not bottlenecks in the AI development process.

Integrating data into one platform allows for better control over data privacy, security, and compliance with regulations such as GDPR or CCPA. A platform designed with these considerations in mind will ensure that data is handled securely, maintaining user trust and legal compliance.

Generative AI projects often involve team members from different domains, such as data scientists, developers, and domain experts. A unified data platform facilitates collaboration by providing a common ground where all team members can work with the same data sets, making the development process more cohesive and efficient.

Managing data across multiple platforms and systems can be costly, not just in terms of subscription fees but also in terms of integration and maintenance efforts. Consolidating data into a single platform can reduce these costs and streamline operations, making generative AI projects more viable and sustainable.

The Data Engine
for Generative AI Solutions

Start Creating a Real Impact
With Your Data (no coding needed!)

We integrate and ingest data from anywhere, guaranteed