内容来源：https://techcrunch.com/2026/01/26/qualcomm-backs-spotdraft-to-scale-on-device-contract-ai-with-valuation-doubling-toward-400m/

内容总结：

【科技创投观察】随着企业对数据隐私与本地化部署需求激增，专注法律科技的人工智能初创企业SpotDraft近日宣布获得高通风险投资公司800万美元战略投资，作为其B轮融资的扩展。本轮融资后，该公司估值已达约3.8亿美元，较去年2月完成5600万美元B轮融资时的估值翻倍。

在高度监管的法律、医药、国防等领域，生成式AI的落地常因数据安全、隐私合规等问题受阻。SpotDraft瞄准这一痛点，推出可完全在本地设备运行的合同审核解决方案VerifAI，确保敏感合同条款、知识产权及商业信息无需上传至云端即可完成风险分析、批注编辑等全流程操作。在2025年高通骁龙峰会上，该技术已成功演示于搭载骁龙X Elite芯片的笔记本电脑，实现离线合同智能处理。

公司联合创始人兼CEO沙尚克·比贾普尔指出：“企业AI的未来必然包含贴近文档的本地化智能——这对隐私保护、响应速度和法律合规都至关重要。”其CTO马德哈夫·巴加特进一步说明，VerifAI不仅能生成摘要，更能基于企业自有的合同指南与历史条款，在Microsoft Word内直接提供合规建议。

目前SpotDraft已服务超700家企业客户，年处理合同量超百万份，同比增长173%，月活跃用户近5万。公司预计2026年收入将实现同比翻倍增长，并计划借助本轮融资深化AI产品研发，拓展美洲、欧洲、中东及印度市场。高通除资本支持外，亦将协同推进本地化AI技术的联合开发与市场落地。

SpotDraft成立于2017年，团队规模超300人，总部位于印度班加罗尔和美国纽约。截至目前，其融资总额已达9200万美元。

中文翻译：

随着企业对无需向云端发送敏感数据、以隐私为先的人工智能需求日益增长，SpotDraft已从高通风险投资公司获得800万美元战略B轮扩展融资，旨在为受监管的法律工作流程扩展其设备端合同审查技术。

这家初创公司向TechCrunch透露，本轮扩展融资使其估值达到约3.8亿美元，几乎是去年2月完成5600万美元B轮融资后1.9亿美元投后估值的两倍。

在受监管行业中，企业虽已迅速开始测试生成式人工智能，但隐私、安全和数据治理问题仍持续拖慢敏感工作流程的采用速度——尤其是在法律领域，合同可能包含特权信息、知识产权、定价和交易条款。行业研究持续指出数据安全与隐私是专业服务领域广泛部署生成式人工智能的主要障碍，这促使SpotDraft等供应商致力于开发将核心合同智能保留在用户设备端而非经由云端传输的架构。

在2025年高通骁龙峰会上，SpotDraft展示了其VerifAI工作流程在骁龙X Elite笔记本电脑上的端到端运行效果，可在离线状态下执行合同审查与编辑，同时将文档保存在本地设备。SpotDraft表示登录、授权和协作功能仍需网络连接，但合同审查、风险评分和修订标记可完全离线运行，无需将文档发送至云端。

SpotDraft将法律领域视为设备端企业人工智能的早期试验场，指出由于隐私、安全与合规限制，敏感合同通常无法通过外部云端模型处理。"企业人工智能的未来形态已然显现——当下必须存在贴近文档的人工智能，这类应用对隐私保护、响应延迟和法律敏感性具有极高要求，而这些正是将向设备端迁移的关键。"SpotDraft联合创始人兼首席执行官沙尚克·比贾普尔（上图左）在接受采访时表示。

SpotDraft称VerifAI的设备端能力不仅限于生成摘要，该工具还设计为在法律团队现有工作模式下，直接在Microsoft Word内部应用操作手册和建议方案。"VerifAI会将合同与您的指导原则、操作手册及既往政策进行比对。"联合创始人兼首席技术官马德哈夫·巴加特（上图右）解释道。

比贾普尔向TechCrunch指出，对设备端人工智能的需求在监管严格领域最为明显，包括国防和制药行业，这些领域内部安全审查和数据驻留要求会延缓或阻碍基于云端的人工智能工具处理敏感文档。

巴加特表示，设备端模型在输出质量和响应速度方面正迅速缩小与云端系统的差距。"目前评估数据显示，前沿模型与部分经微调的设备端模型差异已缩小至5%以内"，他补充说新一代芯片上的运行速度"已达到云端速度的三分之一"。

SpotDraft表示自2017年成立以来，客户数量已从去年2月的约400家增长至700余家，用户包括Apollo.io、松下、Zeplin和Whatfix等企业。该公司称其合同生命周期管理平台采用率持续上升，客户年处理合同量超100万份，合同总量同比增长173%，月活跃用户近5万。尽管未披露具体营收数据，公司预计在2024年增长169%、2025年保持相近增速的基础上，2026年将实现营收同比翻番。

比贾普尔透露，新资金将用于深化产品与人工智能能力，并拓展在美洲、欧洲中东非洲地区及印度的企业市场。高通除提供资金外，还将共同推进设备端部署的联合开发与市场推广。目前该初创公司的设备端工作流程仅向部分客户开放，创始人预计随着兼容人工智能个人电脑硬件的普及，该服务将更广泛推广。

总部位于班加罗尔和纽约的SpotDraft拥有300余名员工，其中15-20人在美国（首席运营官阿克沙伊·维尔马常驻），4-5人在英国，其余团队均在班加罗尔。

截至目前，这家初创公司已融资9200万美元，最新投资方为高通风险投资。早期投资者包括新加坡Vertex Growth、Trident Growth Partners、Xeed VC、Arkam Ventures和Prosus Ventures。

英文来源：

As demand grows for privacy-first enterprise AI that can run without sending sensitive data to the cloud, SpotDraft has raised $8 million from Qualcomm Ventures in a strategic Series B extension to scale its on-device contract review tech for regulated legal workflows.
The extension values SpotDraft at around $380 million, the startup told TechCrunch, nearly double its $190 million post-money valuation following its $56 million Series B in February of last year.
Across regulated sectors, enterprises have moved quickly to test generative AI, but privacy, security, and data governance concerns continue to slow adoption for sensitive workflows — especially in legal, where contracts can include privileged information, intellectual property, pricing, and deal terms. Industry research has consistently flagged data security and privacy as key barriers to wider GenAI deployment in professional services, pushing vendors like SpotDraft to pursue architectures that keep core contract intelligence on the user’s device rather than routing it through the cloud.
At Qualcomm’s Snapdragon Summit 2025, SpotDraft demonstrated its VerifAI workflow running end-to-end on Snapdragon X Elite-powered laptops, executing contract review and edits offline while keeping the document on the local machine. SpotDraft said internet connectivity is still required for login, licensing, and collaboration features, but contract review, risk scoring, and redlining can run fully offline without sending documents to the cloud.
SpotDraft sees legal as an early proving ground for on-device enterprise AI, arguing that sensitive contracts often cannot be routed through external cloud models due to privacy, security, and compliance constraints.
“The future of how enterprise AI is going to be — right now, there’s got to be AI that is close to the document, which is privacy critical, latency sensitive, [and] legally sensitive, and those are the things that will move on device,” said Shashank Bijapur (pictured above, left), co-founder and CEO of SpotDraft, in an interview.
SpotDraft says VerifAI’s on-device capability extends beyond simply generating summaries, with the tool designed to apply playbooks and recommendations directly inside Microsoft Word, the way legal teams already work. “VerifAI will compare a contract against your guidelines, your playbooks, your prior policies,” said Madhav Bhagat (pictured above, right), co-founder and CTO of SpotDraft.
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Tickets are live! Save up to $680 while these rates last, and be among the first 500 registrants to get 50% off your +1 pass. TechCrunch Disrupt brings top leaders from Google Cloud, Netflix, Microsoft, Box, a16z, Hugging Face, and more to 250+ sessions designed to fuel growth and sharpen your edge. Connect with hundreds of innovative startups and join curated networking that drives deals, insights, and inspiration.
Bijapur told TechCrunch that the demand for on-device AI is emerging most clearly in tightly regulated sectors, including defense and pharma, where internal security reviews and data residency requirements can slow or block the use of cloud-based AI tools for sensitive documents.
On-device models have rapidly closed the gap with cloud-based systems, both in output quality and response times, Bhagat said. “Now we’ve come to a place where, in terms of eval, we are seeing as little as 5% difference between the frontier models, and some of these fine-tuned on device models,” he said, adding that speeds on newer chips are now “one-third of what we get in the cloud.”
Since its launch in 2017, SpotDraft said it has reached more than 700 customers, up from around 400 in February last year, and counts Apollo.io, Panasonic, Zeplin, and Whatfix among its users. The company said adoption is rising on its contract lifecycle management platform, with customers now processing over 1 million contracts annually, contract volumes growing 173% year-over-year, and nearly 50,000 monthly active users. It also expects 100% year-over-year revenue growth in 2026, after growing 169% in 2024 and posting a similar growth rate in 2025, though it did not share specific revenue figures.
SpotDraft plans to use the new capital to deepen its product and AI capabilities and expand its enterprise presence across the Americas, the EMEA region (Europe, Middle East, and Africa), and India, Bijapur said, adding that Qualcomm’s involvement extends beyond financing into joint development and go-to-market efforts for on-device deployments. The startup’s on-device workflow is currently available to a limited set of customers, and the founders expect it to expand more broadly as compatible AI PC hardware becomes more widely available.
Bengaluru- and New York-based SpotDraft said it has a team of 300-plus employees, including 15–20 in the U.S., where COO Akshay Verma is based, and four to five in the UK, with the rest of the workforce in Bengaluru.
To date, the startup has raised $92 million, including the latest Qualcomm Ventures investment. Its earlier investors include Vertex Growth Singapore, Trident Growth Partners, Xeed VC, Arkam Ventures, and Prosus Ventures.