Flagship Project

Client: FinCorp Global

Objective: Neutralize high-frequency algorithmic trading attacks aimed at destabilizing the client's forex liquidity pools.


Deployment: We installed 'Watchdog', a recursive neural net that sits between the exchange and the order book. It identifies "predatory" micro-patterns in < 3ms.


  • > Threat Detection: 99.9%
  • > False Positives: 0.01%
  • > Capital Saved: $42M (Q1)

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FinTech Data

Impact Analysis

Pre-integration vs Post-integration metrics.

Processing Speed

300%

Increase

OpEx Costs

-40%

Reduction

Error Rate

0.02%

Down from 5%

Uptime

99.99

Guaranteed

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encrypted_feed.log

"NTN didn't just optimize our database. They rebuilt our entire logic model. We are now 5 years ahead of the competition."

-- CTO, FinCorp Global


"The latency on the Nova-7 model is physically impossible... yet here it is."

-- Lead Engineer, OmniHealth