---
title: "Unique Friend | Integer Intelligence’s Lin Qunshu: Data Engineering Is Worth Going All-In on in the AI Era"
author: "Unique Research"
sourcePublication: "Unique Research (FFCAP English library)"
originalPublishedAt: "2024-01-18T16:30:00+08:00"
canonical: "https://ffcap.cn/en/research/20240118a06i4a00"
source: "https://ffcap.cn/en/research/20240118a06i4a00"
language: "en"
cnSourceUrl: "https://view.inews.qq.com/a/20240118A06I4A00"
---

# Unique Friend | Integer Intelligence’s Lin Qunshu: Data Engineering Is Worth Going All-In on in the AI Era

_Unique Research · Insight / Unique Friend Q&A · January 18, 2024 · Guest: Lin Qunshu, founder & CEO, Integer Intelligence (整数智能)_

Inventory type remains **insight** (Unique Friend series — not partner welcome).

## Guest

**Lin Qunshu** — founder & CEO, Integer Intelligence; PhD Computer Science, Zhejiang University; Forbes China 30 Under 30 (2023).

**Integer Intelligence IT (Hangzhou)** spun out of Zhejiang University’s Computer Innovation Technology Research Institute — aims to be the data navigator for the AI industry. Member of China AI Industry Development Alliance, ASAM, and Zhejiang AI Industry Tech Alliance. Offers intelligent data-engineering platform **ABAVA Platform** and dataset-build service **ACE Service** for dozens of scenes: autonomous driving, AIGC, smart healthcare, security, smart city, industrial manufacturing, speech, public administration. 1,000+ top tech firms and labs worldwide; dozens of IP assets; frequent contributor to AI standards and white papers.

## Q&A

**1\. Product and core scenes?**  
ABAVA Platform + ACE Service for data needs across autonomous driving, AIGC, healthcare, security, smart city, industry, speech, public admin and more.

**2\. R&D / GTM — 2023?**  
Strong products in intelligent annotation tooling and frontier 4D annotation — recognized and paid by autonomous-driving customers.

**3\. Opportunities vs. past waves?**  
From a data-services view, the AIGC wave brings large demand for text and multimodal data procurement.

**4\. Are LLMs still too weak?**  
Yes — hallucination blocks serious / high-accuracy scenes. Selectively pick scenes that today’s tech can land — just as pre-AGI AI still shipped well in face-recognition security.

**5\. 2024 tech to watch?**  
Multimodal capability.

_1 CN image; attach on ingest. Signup CTA in CN omitted. Shortest piece in batch (~629 CJK); Q&A preserved without padding._

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Editorial English edition published on UniqueCapital: https://ffcap.cn/en/research/20240118a06i4a00
On-site reading page: https://ffcap.cn/en/research/20240118a06i4a00