About

Bridging the physical macro and the cognitive micro.

D3pth AI is a Data Science practice for enterprises whose hardest problem isn't the model — it's the data feeding it.

Charles Wallace · Founder & Principal Architect, D3pth AI

Where the practice was forged

NASAPlanetary spatial compute
Scale AILarge-scale AI data
HarvardM.S. Data Science

Experience

From the planetary macro to the token-level micro.

The career was built deliberately along one axis — from the planetary macro to the token-level micro — so the practice can speak both languages fluently in a single engagement.

  1. 01

    The Macro

    Planetary

    NASA oceanographic & GLOBE programs — planetary water quality, fluid dynamics & environmental telemetry.

  2. 02

    Education

    Foundation

    M.S. Data Science — Harvard University.

  3. 03

    Logistics

    Operational

    National-scale cold-chain & shipment anomaly detection — sensor fusion and predictive modeling under crisis-grade conditions.

  4. 04

    The Micro

    Token-level

    Ex-Scale AI · Large-scale AI data engineering & quality — speech, vision & structured datasets.

Founder's philosophy

“You don't need a massive, trillion-parameter model just to automate your billing or track logistics — you need a custom solution that actually fits your business.”

— Charles Wallace

The founder

A career built along one axis, on purpose.

Start with a consult — 30 minutes, no slides. We map your data, build what's missing, and you own what we ship.

The engagement

Four disciplines. One signature in the data.

Each pillar names a practice area and a representative outcome, linked to the matching engagement. Every engagement ends the same way — a production pipeline handed over for you to own and run.

01Cognitive

Data Refinery

Raw, noisy enterprise data taken from ingest to a query-ready gold layer — owned by the client.

1,031,640 genomic variant records reaching gold-layer quality from 1.18M ingested across a multi-species reference pipeline (repr.).

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02Spatial

Spatial Compute

Sub-centimeter LIDAR processing, geospatial modeling, and 3D surface reconstruction.

Petabyte-scale global spatial data and LIDAR mapping for a national environmental-research program (repr.).

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03Forensics

Forensics & Anomaly Extraction

Fragmented or degraded documents reconstructed; structured data extracted from extreme noise.

Straightening, denoising, and digital cleanup with +11.2° skew correction; structured fields recovered for legal discovery (repr.).

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04Logistics

Logistics & Operations Intelligence

Sensor fusion and predictive modeling for national-scale supply chains.

Financial transit audit and volume logging for crops, timber, and water-canal discharges across a regional county network (repr.).

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Engagements are limited and selective.

D3pth AI works with a small number of partners at a time — reach out to discuss fit.