🚀 Discover how to drive innovation through AI into your business.
Request your CopyWe offer both design services and reusable frameworks to expedite the delivery of use cases as well as your platform renovation efforts:
Intellixens custom solutions
Just provide us with the desired outcome and concept. If existing products or processes are not well-documented, that's OK—we'll fill in the gaps to create an MVP (Minimum Viable Product).
Our 'Learning-Centric' design approach ensures that both existing and new types of AI, as well as human actors, collaborate to achieve better outcomes and enhance critical aspects of your product or process use case.This method is fundamentally different from conventional design approaches. Traditional systems process data based on preset rules, relying on human intervention for case-by-case overrides.
In contrast, we focus on segmenting the ontology patterns specific to each human agent's role. This approach ensures that every interaction—whether human or AI-driven—is recorded. Both human agents and AI systems then receive feedback on their actions or decision-making processes, facilitating continuous improvement and collaboration.
Our 'Learning-Centric' design approach ensures that both existing and new types of AI, along with human actors, collaborate to achieve better outcomes and upgrade the critical aspects of your product or process use cases, while enhancing your team's learning rate on an ongoing basis.
Intellixens Collective Intelligence Processing Platform
Our Intelligent Data platforms accelerate the training of traditional and GenAI agents, provide seamless human interaction, and enable the storage and enhancement of insights in your own vector knowledge database.
At the base of our 'Collective Intelligence' Processing Framework, enhanced connectivity artifacts enable rapid connections to structured, unstructured, and image data. These artifacts break away from conventional ETL (Extract, Transform, Load) patterns, dramatically improving the data mapping timeline.
We employ straight-through processing approaches to seamlessly transition from multiple types of data with varying latencies to semantic knowledge. This is facilitated by our ELI (Extract, Load, Interpret) mechanism, which focuses on accelerating context processing to expedite model training and analytical activities. At the heart of the architecture lies your proprietary vector database, one of the most critical assets for a knowledge-driven organization going forward.
At the top layer of the stack, which interacts with products and processes, we rely on a variety of scalable artifacts. These include chatbots and advanced UI/UX ready-to-use components that can be embedded across apps and workflows. These artifacts ensure augmented outcomes for customer experiences, operational activities, investigations, and analyses. A critical aspect of this layer is its ability to enable reinforcing feedback loops across both human and AI agents, facilitating continuous learning improvement and transparency.
Finally, supporting this robust architecture is an expanding array of callable services that ensure intelligent data privacy, explainability, and governance. These services set a solid foundation and aim to anticipate the emerging drivers of new oversight and customer accountability frameworks in AI
Discover how we're transforming the industry through AI.