KEREON
Technology
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01
Executive summary
Institutional-grade AI,
running inside your walls.
Vertical AI for Financial Markets. Fine-tuned LLMs deployed on your infrastructure — zero data leaves the building. Purpose-built workflows for PMs, traders, analysts, risk officers and CIOs.
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61%
Financial firms using GenAI in 2025 (vs 40% in 2023)
$58B
AI spend in financial services 2025 (TAM)
40%
Cite data privacy & sovereignty as #1 barrier
38.4%
Front office share of GenAI value potential
02
Problem & solution
The problem
Finance has an AI problem.
61% of financial firms use GenAI in 2025, but adoption is bottlenecked by trust.
Data privacy & sovereignty cited as the #1 barrier (40% of firms).
Frontier models score only 0.398 on financial reasoning — short of institutional standards.
Source: Nvidia 2025 · KPMG 2025 · Finance benchmark eval
Our solution
Kereon Technology.
Fine-tuned LLM deployed on your infrastructure (on-premises or VPN).
Zero data leaves the building — full data sovereignty.
Purpose-built workflows for PMs, traders, analysts, risk officers and CIOs.
GDPR / MiFID II / DORA compliance by design.
03
Use cases
📈
Stock Conviction Scores
Multi-factor scoring with full attribution.
📝
Document Q&A
Earnings, research, internal docs (RAG).
🔎
Scenario Analysis
Macro, sector, idiosyncratic scenarios.
⚠
Risk Reports
Automated daily / weekly digests.
04
Team
R
Romain Paternot
CEO & Co-Founder
17 years in trading & portfolio management
Hedge funds — built & managed business lines
HEC EMBA — entrepreneurship track
Deep institutional network in European markets
A
Aymeric Lahonde
CTO & Co-Founder
JEDHA Data Science Certificate
Expert in AI engineering & LLM deployment
On-premise infrastructure & MLOps specialist
Experience in financial data pipelines
05
Get started
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Role
Portfolio Manager
Trader
Analyst
Risk Officer
CIO
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