About Lane Vector
An engineering approach to information dynamics and decision quality.
In plain terms
Lane Vector is the research: how to measure which way information points, how fast it is changing, and how many separate sources are really behind it. TruVector is the product that runs those measurements before an AI acts.
Research foundation
Lane Vector brings the measurement discipline of chemical engineering to information systems: define variables and units, state assumptions, propagate uncertainty, and compare predictions with observed outcomes. Statistical definitions govern the information models.
The program studies directional projections, finite-difference rates and acceleration, source dependence, and semantic interpretation. These are connected through reproducible evaluation rather than physical analogies.
The relationship to TruVector
Lane Vector is the research framework. TruVector is the decision checkpoint built around reader interpretation, subject guards, dependence-aware weighting, and explicit action checks. InTellMe AI is the company responsible for both.
Research leadership
The program was founded by Michael Brandon Lane, a chemical engineer and chemist with experience developing and scaling coated lithium-ion battery separator technology. The work applies the same discipline of measurement, uncertainty, and controlled comparison to information systems.