Sigmared Ai Labs

Migrations.ml seeks to collect known data sets and use Machine Learning to train models to generate analytics. The ability to gather and analyze large sets of data and train models leads to a credit analysis machine that is always on and can work from a wider and deeper pool of data than is humanly possible. Using a subscription enterprise license model, the Migrations.ml's output can be integrated with clients' existing processes, or evaluated separately, giving clients the discretion to use the data only as a 'signal' that can drive their own research processes. Its thin web-based client and use solely of public data means that the only 'installation' necessary is to obtain a login and password: there is no need for installation on client servers, no proprietary data security concerns, and no professional services feeds.

Experimenter is a no-code task design software that enables users to create and combine: 2D, 3D and real-world tasks; and traditional self-report measures (e.g. surveys). This enables more effective methods for testing human behaviour and AI across all platforms (i.e. desktop, mobile, VR and AR headsets), and saves time and resources. Participant allows users to administer tasks locally or remotely to reach participants anywhere in the world and in any environment. This leads to greater accessibility, including for hard-to-reach populations (e.g., vulnerably housed people, patients with limited mobility, remote communities), resulting in richer and more diverse pools of data. The SilicoLabs Cloud creates a collaborative global network and provides a marketplace where users can share and combine tasks and datasets to create new assessments and uncover new insights.

We are building the industry's first AI-driven performance monitoring platform that uses data and machine learning to provide relevant insights to risk takers (banks, bonding companies, and project owners) on a contractor's performance of a specific job. This allows stakeholders to identify problems rapidly and take corrective actions to complete projects on time and budget. While bonding companies rely on conventional sources like historic financial statements to assess risk, our approach adds a real-time 360 dimension to assessing a contractor's likelihood of meeting contract commitments.