AI, ML & Data Engineering

Deep Learning & Predictive Models

Deep models where they actually beat the baselines.

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Transformers, GNNs, sequence models — chosen when justified by data, calibrated, and monitored.

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Capabilities

What we build

Sequence modeling

Time-series transformers, TFT, N-BEATS, LSTM.

Graph learning

Fraud rings, supply graphs, knowledge graphs.

Vision

Defect detection, document AI, satellite imagery.

Calibration

Conformal prediction and reliability diagrams.

Outcomes

Measured results

+25%
Recall on rare events
<100ms
GPU inference
Honest
Uncertainty
Why nexgts

Why teams pick us

  • No deep learning theater
  • GPU cost discipline
  • Hybrid with classical models
Use cases

Where it fits

AML transaction graphsPredictive maintenanceDemand sensingDocument understanding

Ready to put Deep Learning & Predictive Models into production?

We scope, build, and operate — usually in weeks, not quarters.

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