Invisible Technologies

AI and ML

AI Training — Where the world's top AI models are trained

Research-grade annotation, training, and evaluation. The platform blends elite global talent with automation to deliver training data at enterprise speed without compromising research-grade quality.

AI and ML

Back Office Automation — From days of manual work to minutes of execution

Automates complex or tedious back-office work including messy data inputs and complex logic with human-informed precision. Uses intelligent data ingestion, adaptive process mapping, and custom AI agents that learn from corrections.

AI and ML

Computer Vision — Turn motion into data for advanced insights

Converts motion into structured time-series data to support high-stakes decisions with real-time, actionable insights.

AI and ML

Contact Center — Real-time, systemwide contact center intelligence

Contact center intelligence grounded in client data and policies, offering unified data, automated QA, sentiment and risk signals, manager-ready dashboards, and AI voice agents. Evaluates 100% of interactions without relying on sampling.

AI and ML

Demand Forecasting — Unified data. Reliable forecasts.

Decision-ready forecasts shaped around client data, operations, and reality. Turns intent, history, and policy into actionable forecasts.

AI and ML

RL Environments — Where the real world meets reinforcement learning

Expert-built reinforcement learning environments informed by real workflows and verified with domain experts, ready for agents that need to do more than pass a test.

Data and analytics

Data Platform (Neuron) — Get your messy, multi-source data machine-ready

Neuron pulls scattered data from across client systems into one governed place, automatically cleaning and organizing it for AI readiness. Builds a living map of how business pieces fit together so models and workflows know where to look.

AI agent deployment platform that lets clients build governed agents mirroring their workflows. Agents handle complex multi-step work, use tools and write code, with versioned and trackable workflows separated by customer. Compresses weeks of human work into minutes with audit trail and controls.

Our assessment: Productized agent platform with detailed method description, versioning, and stated 70%+ reduction in workflow processing time — flagship IP.

Data platform that pulls messy, multi-source data into one governed place, automatically cleaning and organizing it for AI readiness. Builds a living map of business data relationships for models and workflows.

Our assessment: Clearly productized data foundation layer with described method; positioned as enabling infrastructure for the rest of the platform.

Process builder that documents manual workflows for automation. Provides a visual map of how work gets done, then runs every step automatically — pulling from systems, routing to the right AI or person, enforcing quality checks, and sending results back.

Our assessment: Well-described workflow orchestration tool with claimed 80% reduction in process complexity vs. legacy; substantive branded IP.

Evaluation platform that runs any AI system through realistic work scenarios using client-defined criteria: accuracy, safety, tone, domain fit. Automated checks compare every response against a 'good' baseline and shows model comparisons side-by-side.

Our assessment: Productized evaluation layer with described methodology; addresses the 'is this AI actually good enough?' question with ongoing, use-case-tied evaluations.

Global network of 24,000+ vetted experts deployed on demand for AI training data labeling, model stress-testing, edge case handling, and domain-specific tasks. Continuously screened, tested, and organized by skill, language, and domain.

Our assessment: Separately branded expert network with its own domain; 24,000+ vetted experts claimed — substantive human-in-the-loop asset tightly integrated with the platform.