Invisible AI
Enterprise AI solutions with full visibility and control
Invisible AI Overview
Invisible AI provides a comprehensive enterprise AI platform that bridges the gap between AI potential and real-world business applications. The platform offers end-to-end solutions for data processing, process documentation, human-assisted training, model evaluation, and agentic execution. Designed specifically for enterprises, Invisible AI works with any existing data infrastructure to clean, integrate, and analyze complex organizational data. The platform stands out by combining automated AI capabilities with human expertise through its global Expert Marketplace, ensuring models are properly trained and evaluated. With complete visibility into AI operations and decision-making processes, enterprises can deploy AI solutions with confidence, knowing they maintain control and can audit every step of the process.
Invisible AI Screenshot
Invisible AI Official screenshot of the tool interface
Invisible AI Core Features
Neuron Data Platform
Neuron processes any enterprise data format, structure, and schema, transforming raw data into usable inputs for AI systems. The platform's advanced data ontology cleans and integrates information from across your organization, breaking down data silos and preparing information for AI consumption. Unlike generic data platforms, Neuron is specifically designed to handle the complexity and scale of enterprise data environments while maintaining strict governance controls.
Atomic Process Builder
Atomic documents and maps enterprise workflows with precision, creating the foundation for effective AI implementation. The platform captures how work actually happens in your organization, not just how it's supposed to happen. This detailed process documentation enables the creation of AI agents that truly understand and can improve your operations, driving measurable ROI by fine-tuning models to your specific systems and requirements.
Expert Marketplace
Invisible's global network of human experts enhances AI models with critical human judgment where needed. The marketplace allows for surgical deployment of human expertise to train models, validate outputs, and handle edge cases. This hybrid approach combines the scalability of AI with the nuanced understanding of human professionals, particularly valuable in complex decision-making scenarios where pure AI might fall short.
Synapse Evaluations
Synapse provides comprehensive model testing and improvement through combined automated and human-led evaluation. The platform enables robust red teaming, annotation, and targeted training data creation to ensure models perform as intended in production environments. This iterative evaluation process catches issues early and continuously improves model performance, reducing risk in enterprise deployments.
Axon Agentic Engine
Axon executes AI workflows with complete transparency and auditability. Unlike black box AI solutions, Axon follows defined logic, logs every action, and provides full visibility into decision-making processes. This approach ensures enterprises maintain control over AI operations, can explain outcomes, and adjust processes as needed - critical requirements for regulated industries and mission-critical applications.
Invisible AI Use Cases
Financial Services Compliance
A bank uses Invisible AI to automate loan approval processes while maintaining regulatory compliance. Neuron integrates customer data from multiple systems, Atomic documents the complete decision workflow, and experts from the marketplace validate model outputs. Synapse continuously tests for bias or compliance issues, while Axon provides full audit trails for regulators.
Healthcare Operations Optimization
A hospital network implements Invisible AI to streamline patient flow. Neuron processes EHR data from different systems, Atomic maps patient journey workflows, and medical experts fine-tune decision models. Synapse evaluates model recommendations against clinical guidelines, while Axon ensures transparent execution of scheduling and resource allocation decisions.
Manufacturing Quality Control
An automotive manufacturer deploys Invisible AI for defect detection. Neuron aggregates sensor data from production lines, Atomic documents inspection protocols, and quality engineers train models through the Expert Marketplace. Synapse validates detection accuracy, while Axon manages the interface between AI recommendations and human review stations.
How to Use Invisible AI
Integrate your enterprise data sources with the Neuron platform, which will automatically begin processing and normalizing your data regardless of format or structure. The system identifies relationships between disparate data sources and creates a unified ontology for AI consumption.
Use the Atomic Process Builder to document your existing workflows. The platform guides you through capturing each step of your business processes, including decision points, inputs, and outputs. This creates the foundation for AI automation and optimization.
Access the Expert Marketplace to source human expertise for model training and validation. Define the specific skills and knowledge areas needed, and the platform will match you with qualified professionals who can enhance your AI implementation.
Configure evaluation protocols in Synapse to test your models before deployment. Set up automated testing routines and human review workflows to identify areas needing improvement and validate model performance against your business requirements.
Deploy your AI solutions through the Axon agentic engine, which will execute processes with full transparency. Monitor operations through the dashboard, review logs, and make adjustments as needed to optimize performance over time.