Can you trust your AI and data?

As data piles up, many struggle with AI systems that risk questionable outputs. At NimbleNova, we tackle this challenge with Explainable AI for transparent, traceable decisions—no black boxes, no “hallucinations”.

Our AI WonderMachine powers Rapid Prototyping through a unique assembly of pre-built Building Bricks, enabling you to quickly create prototypes with results you can trust. Now, your team can make informed decisions confidently. We know what you’re thinking: “Finally, AI we can trust.”

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How we do this

Our 5-Step AI Solution

With our full AI toolkit, we move quickly through every step—our tools are ready to go. Here's how it works:

Data Acquisition

The first step is capturing the right data. Our pre-built connectors pull from sources like public websites and cloud platforms (Google Drive, SharePoint, OneDrive), giving your AI instant access to reliable datasets.

Examples from our Toolkit:

Public Data Scrapers: Automatically gather public data using cutting-edge scraping techniques.
Cloud Connectors: Seamless integration with popular cloud services to capture and manage your documents and files in real-time.

Data Processing

After capturing data, we swiftly process it our pre-built tools. This ensures the data is clean, consistent, and fully optimised for AI models.

Examples from our Toolkit:

File Converters: Instantly convert data formats like JSON, XML, and CSV for easy AI processing.
Data Normalisation: Standardises currency, units, and other data formats for seamless processing.

Large Language Models (LLM)

We use powerful LLMs to analyse your data and deliver insights. Our models adapt quickly to your business context, providing fast, accurate results with few-shot learning for new tasks.

Examples from our Toolkit:

Open Source LLMs: Access the power of open-source language models for advanced data processing.
Few-shot Learning: Enhance model performance with minimal data, improving training times and adaptability.

Knowledge Graph

We turn processed data into clear Knowledge Graphs, organising complex relationships for easy understanding. Our tools ensure accuracy and consistency, adding trust and transparency to AI decisions.

Examples from our Toolkit:

Knowledge Graph Generator: Automatically create knowledge graphs from unstructured data, identifying key entities and relationships.
Visualise Knowledge Graph: Explore and analyse relationships through an intuitive visual representation.

Retrieval & Generation

In the final step, we turn your data into actionable insights. Provinding accurate answers to complex questions and generate detailed reports, whether via chatbots or custom reports.

Examples from our Toolkit:

Conversational AI (Chatbot Interface): Build dynamic, context-aware conversations using your data to deliver real-time insights.
Report Generators: Automatically create detailed reports based on the insights derived from your knowledge graphs.

Our AI Workflow

Our streamlined process transforms your data into accurate, actionable insights—fast. No need to start from scratch or manage unreliable models. NimbleNova jump-starts your AI initiatives with premade Building Bricks, delivering value within weeks. Here's how it flows:

1. Data Acquisition

The first step is capturing the right data. With our pre-built connectors, we pull real-time and relevant data from sources like public websites, social media, cloud platforms, private documents, and any other data sources. This foundation of trustworthy information ensures that future AI processes are built on solid, relevant data.