
Invisible Technologies provides a modular AI platform plus vetted expert talent to clean and unify data, map and automate workflows, evaluate AI quality/safety, and deploy governed AI agents into enterprise operations.
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Invisible Technologies Inc.Invisible Technologies Inc. builds modular AI software and human-in-the-loop infrastructure for labs and enterprises, focused on turning messy data and manual processes into governed, agent-ready workflows. The company positions its offering as “services-to-software,” combining platform components with embedded execution to move from AI insight to operational deployment. Invisible states it has trained over 80% of the world’s leading AI models and deploys them at enterprise scale across sectors (examples referenced include the NBA and the Navy). Its platform is organized into building blocks—data, process mapping, expert talent, evaluation, and agents—so enterprises can plug in only what they need while tracking quality, safety, and outcomes. Invisible also operates an expert marketplace (Meridial) with a large pool of vetted specialists and emphasizes research-grade annotation, continuous evaluation, and governed agent deployment. The company highlights enterprise readiness through compliance/security posture and offers industry-specific use cases across asset management, banking, consumer, healthcare, insurance, public sector, and sports. Founded in 2015, Invisible reports a 400+ person team and a hiring footprint spanning 70+ countries, with offices in the United States, United Kingdom, and Poland.
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Visual process mapping and orchestration that documents workflows and runs steps automatically across systems, routing work to AI or humans with quality checks and traceability.
Process Mapping
Workflow Orchestration
Quality Checks
Deploy governed AI agents that mirror customer workflows, can use tools and write code, and hand off finished results to business systems with versioning, tracking, and audit controls.
AI Agents
Workflow Versioning
Audit Trail
A global pool of vetted specialists matched to tasks such as labeling training data, stress-testing AI systems, and handling edge cases for human-in-the-loop workflows.
Vetted Experts
On-demand Staffing
Skill Matching
Governed data platform that pulls multi-source enterprise data into a single place, cleaning and organizing it for teams and AI, and creating a living map of business entities and relationships.
Data Unification
Data Governance
Data Cleaning
Run realistic, criteria-based evaluations of AI systems (accuracy, safety, tone, domain fit) with automated checks and side-by-side model comparisons tied to enterprise use cases.
Model Evaluation
Safety Checks
Quality Metrics
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