Governed data foundation
Neuron consolidates, cleans, and organizes scattered business data into an AI-ready foundation, including relationships among entities such as orders, inventory, customers, and processes.
Enterprise AI infrastructure combining governed data, workflows, agents, evaluations, and expert support.
Invisible Technologies is an enterprise AI platform for turning operational data and complex business processes into production workflows. Its modular platform combines Neuron for data preparation, Atomic for process orchestration, Axon for governed AI agents, Synapse for evaluation, and Meridial for access to vetted domain experts. Organizations can connect the platform to existing infrastructure, configure workflows around their operations, and use human review where needed. The platform supports applications including back-office automation, contact center intelligence, demand forecasting, computer vision, AI training, and custom enterprise solutions. Enterprise deployments require workflow discovery, data access, system integration, and use-case-specific evaluation. Keep accountable human reviewers for consequential decisions and compare outputs with your own standards before expanding automation.
Neuron consolidates, cleans, and organizes scattered business data into an AI-ready foundation, including relationships among entities such as orders, inventory, customers, and processes.
Atomic maps operational workflows and automates steps such as data retrieval, routing to AI or people, quality checks, and delivery of results back to business systems.
Axon deploys agents for complex, multi-step work that can use tools and write code when needed. Workflows are versioned, trackable, and separated by customer for controlled testing and promotion.
Synapse evaluates AI systems against realistic work scenarios and criteria such as accuracy, safety, tone, and domain fit, with side-by-side comparisons showing where systems pass or fail.
Meridial provides on-demand experts organized by skill, language, and domain to support training data work, AI stress testing, and edge cases that require human input.
Invisible works with an enterprise to identify production gaps, connect platform components to existing infrastructure, deploy configured workflows, and monitor performance as operations change. Scope and timing depend on the implementation.
Design workflows for exception-heavy operations such as invoice reconciliation and document processing. Retrieve and check data, route uncertain cases to people, and return reviewed results to existing business systems.
Unify ERP, point-of-sale, ecommerce, labor, operations, and external signals to train forecasting models and deliver planning views for inventory, staffing, and other operational decisions.
Analyze contact center interactions using unified customer and policy data, automated quality scoring, sentiment and risk signals, dashboards, and AI voice agents.
Use expert support for training data and edge cases, then evaluate models against realistic scenarios to measure accuracy, safety, tone, and suitability for a specific domain.
Design an AI solution for an enterprise process that does not fit a standard offering, starting with production discovery and continuing through deployment, monitoring, and optimization.
The platform can connect to existing infrastructure. For demand forecasting, begin with data from systems such as ERP, point-of-sale, and ecommerce, compare forecasts with your existing approach on a few categories, and expand when measured results justify it. Integration scope depends on the systems and workflow.
Axon is intended for complex, multi-step workflows. Agents can use tools and write code when needed, and can support work such as engineering reviews, compliance checks, and back-office operations.
Synapse runs AI systems through realistic work scenarios using criteria selected for the use case, including accuracy, safety, tone, and domain fit. Automated checks compare responses with the defined standard and provide side-by-side results.
Meridial supplies vetted experts for tasks such as training-data labeling, AI stress testing, and handling cases that agents are not ready to manage. Custom workflows can also route work to people and incorporate corrections.
Yes. Its custom-solutions process covers identifying production gaps, connecting to existing infrastructure, deploying the solution, and monitoring it as business conditions change.
Os dados de tráfego são apenas para referência.
| mai. | 231155 |
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| jun. | 189373 |
| jul. | 201955 |
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