THE DATA LAB

tu-nerr::Platform

Technology that tunes into you.

I. tu-nerr::Resonance

The Metric Engine - Nearing Beta

tu-nerr::Resonance represents a departure from metadata-dependent Music discovery. The Beta utilizes a proprietary deconstruction process to map the underlying foundation of an asset rather than relying on unreliable user-generated tags or social popularity.

Through a multi-faceted analysis of Musical properties, the engine identifies a deep kinship between assets that genre-based systems would never link. This is discovery via architectural symmetry—ensuring that your sensory environment remains coherent and aligned.

FEATURE DEVELOPMENT: AI Neighbors

  • Neighborhood Lock: A tri-state boundary filter governing environmental drift (Off / Loose: 1 Genre / Strict: 2 Genre).
  • Flow Mode: Predictive bounding logic restricting transitions to a BPM ± 15% variance from the seed track.

FEATURE DEVELOPMENT: Road Trip Mode

  • Anchor Limit: Select up to 4 specific Artists to act as the "Structural Anchors" for the collaborative mix.
  • Resonance Interleaving: Heavy rotation of seed Artists with one AI Neighbor track presented for every seed track.

FEATURE DEVELOPMENT: HALO Mode

  • Genre-Locked Randomization: A "High-Altitude Low-Opening" jump into a genre via a randomized starting point.
  • Era Blindness: Dives into any era or movement (e.g., Seattle Grunge vs. '80s Glam) based on shared structural math.
II. tu-nerr::Identity

The Identity Vault - Active Development

The most critical component of the tu-nerr ecosystem is the transition to Identity-Anchored Retrieval. We are currently developing the first iterations of the Identity Vault, ensuring that your data is never aggregated into a global pool.

Your interaction with the Data Lab informs a private, encrypted baseline. This foundation allows the system to understand your personal sensitivity thresholds—tuning the environment to what your physiological state requires for equilibrium.

BASELINE CALIBRATION: We are refining the ability for users to define their "Optimal State," allowing the engine to prioritize assets that actively support focus or transition goals.