Imagine all your business functions aligned, working without friction with the same data
Decidr AI roles always align to your goals and aspirations. They have perfect memory, are aware of all other data and work tirelessly.
Operations business function powered by Decidr
Decidr uses AI to transform operations into a seamless and efficient process. From managing production and supply chains to optimising maintenance and customer service, our platform ensures your business runs smoothly and effectively. With AI micro roles handling everything from demand forecasting to process improvement, you can focus on strategic growth and innovation while we take care of the details.
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Business data is always messy. This makes deploying AI costly for most organisations. Decidr's unique technology can ingest the most popular types of business data — from SaaS tools, unwieldy custom databases, PPT, Excel, website data and even images — making it available for AI immediately. This creates high context data for AI to consume and learn from, offering low cost AI and whole business intelligence.
Hypervector architecture
With over 6 years of research and development, Decidr has pioneered a unique database architure optimised for artificial intelligence. This architecture allows for most data to be made available to AI without the typical preperation and normalization costs. This means that businesses can train custom AI agents quickly at a fraction of the cost.
- Hyper-dimentional computing is inspired by the human brain's way of processing information using high-dimensional vectors called hypervectors.
- It offers competitive accuracy with lower computational and energy requirements compared to traditional machine learning algorithms.
- Data points are mapped to high-dimensional space, and these representations (hypervectors) are used for various tasks like classification and recognition.
Massive multi agent model
Decidr's Massive Multi-Agent Model is an advanced AI system designed to revolutionize your business operations. This model features a network of specialized AI agents, each dedicated to performing specific tasks across various business processes. These agents work together seamlessly to optimize efficiency, accuracy, and overall performance.
Efficient Data Representation
Hyperdimensional vectors provide a compact and efficient way to represent data for multi-agent AI systems, facilitating quick data sharing and processing across agents.
Scalability
The optimized hypervector design ensures scalability by reducing the computational load on individual agents, making it feasible to deploy large numbers of agents without significant performance degradation.
Robustness
The trade-off between accuracy and robustness in hypervector design ensures that the AI system can handle noisy data and uncertain environments, which are common in multi-agent scenarios.
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