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ChinaFinance and insurance2023 – ongoing

LexinFintech Holdings

Singularity large model built on localized DeepSeek

LexinFintech said its in-house large model generated code 860,000 times a month and raised coding efficiency about 35%

WorkingCompany's own claim

Problem

LexinFintech, a Chinese consumer-finance company, runs high-volume customer service, telemarketing, collections and risk control, and has a large development team.

Approach

Lexin developed a proprietary large model called Singularity and deployed leading models such as DeepSeek locally, later upgrading to DeepSeek R1. Management said the model was used in daily operations including customer service, telemarketing, collections, coding, data analysis and risk control.

Results

about 15%improvement in risk identification accuracy compared with the previous quarter, per Lexin managementCompany's own claim[1]
860,000times per month the model helped generate code, per Lexin managementCompany's own claim[1]
about 35%increase in coding efficiency, per Lexin managementCompany's own claim[1]

Takeaway

These figures were stated by management on an earnings call. Lexin did not give the baseline for the 15% risk-identification gain beyond saying it was against the previous quarter.

Categories

Innovation type
Process innovation
Evidence
Company's own claim

Sources

  1. LexinFintech (LX) Q4 2024 Earnings Call Transcript
    The Motley Fool19 Mar 2025News article

Source summaries

[1]The Motley Fool19 Mar 2025

Transcript of Lexin's call of 18 March 2025. Management described the proprietary Singularity model and local deployment of DeepSeek, then R1. They gave the risk-identification, code-generation and coding-efficiency figures above.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026
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