INOD 最新10-Q变化
将 INOD 最新的定期申报(10-K/10-Q)与上一份同类型申报逐章节对比:每个章节新增/删除的段落数与原文摘录。全部为确定性文本对比——无相似度评分、无方向判断、非投资建议。
对比:10-Q · 2026-05-07 与上一份 10-Q · 2025-11-06
| 章节 | 结果 | 新增 | 删除 | 微调 | 未变 |
|---|---|---|---|---|---|
| 管理层讨论与分析 | 文字有新增/删除 | +39 | −94 | ~16 | 18 |
| 控制与程序 | 文字有新增/删除 | 0 | 0 | ~3 | 0 |
| 其他信息 | 文字有新增/删除 | 0 | 0 | ~1 | 0 |
计数单位为段落;"新增/删除"指相对上一份文件新增/删除的文字,不含方向或好坏判断。
未列出(无法可靠提取或缺失):市场风险(第3项)、法律诉讼、风险因素
代表性摘录
每个章节最多 5 条、每条约 300 字符的原文摘录,直接来自两份 SEC 文件。
管理层讨论与分析
相对上期新增的文字 · 来源:10-Q · 2026-05-07
Innodata Inc. (Nasdaq: INOD) (together with its subsidiaries, the “Company”, “Innodata”, “we”, “us” or “our”) is a global data engineering and AI systems services company that supports the development, training, post-training, evaluation, and deployment of advanced artificial intelligence systems. W…
Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We believe that AI will increasingly function as a foundational layer of the digital economy - …
Innodata was founded more than 35 years ago on the principle that high-quality, well-structured data is essential to leading information-retrieval systems. In 2016-2017, we began building proprietary AI language models based on then-emerging research and frameworks and integrating them into our data…
Today, leading AI innovation labs and Big Tech companies (including five of the so-called “Magnificent Seven”) building frontier generative AI models and leading enterprises engage us to provide (i) training and post-training data development; (ii) alignment and preference optimization; (iii) capabi…
We believe Innodata is differentiated by: (i) our ability to operate across the AI lifecycle in alignment with AI developers’ internal development and deployment pipelines; (ii) our scale of specialized human expertise; (iii) purpose-built platforms and processes that combine automation with rigorou…
相对上期删除的文字 · 来源:10-Q · 2025-11-06
Innodata Inc. (Nasdaq: INOD) (including its subsidiaries, the “Company,” “Innodata,” “we,” “us” or “our”) is a leading data engineering company. Our mission is to help the world’s most prestigious companies deliver the promise of ethical, high-performing artificial intelligence (“AI”), which we beli…
Innodata was founded on a simple idea: engineer the highest quality data so organizations across broad industry segments could make smarter decisions. Today, we believe we are delivering the highest quality data for some of the world’s most innovative technology companies to use to train the AI mode…
AI holds the promise that computers can perceive and understand the world, enabling products and services that would have been previously unimaginable and impossible with traditional coding. AI learns from data, and the highest-performing AI will have learned from the highest-quality data. We believ…
We are also helping companies deploy and integrate AI into their operations and products and providing innovative AI-enabled industry platforms, helping ensure that our customers’ businesses are prepared for a world in which machines augment human activity in ways previously unimaginable.
We developed our capabilities and honed our approaches progressively over the last 35+ years creating high-quality data for many of the world’s most demanding information companies. Approximately nine years ago, we formed Innodata Labs, a research and development center, to research, develop and app…
如何读 10-Q 的风险因素(第 1A 项)
10-Q 的风险因素章节有三种常见形态,本页按其一分类展示:
- 指向(pointer) — 公司仅声明"无重大变化"并指向年度 10-K 的完整风险因素;本季没有自己的风险文本可对比。
- 部分更新(partial) — 公司写明"除下述外无重大变化",只更新部分风险;摘录展示的正是本季新增的内容。
- 全文重述(restated) — 本季重新给出完整风险因素。若上一季只是"指向",则无法逐段对比,本页会将其标为"本季全文重述"。
这只是对文件结构的客观描述,不构成对风险高低的判断。
数据来自 SEC EDGAR 两份申报文件的文本级对比 · 确定性计算(无 AI 生成内容)· 仅供参考 · 非投资建议