AI Squared的封面图片
AI Squared

AI Squared

软件开发

Washington,DC 5,248 位关注者

Render AI insights into business applications and create a feedback loop between AI consumers and AI developers.

关于我们

At AI Squared, our vision is to foster widespread AI adoption by embedding AI insights directly into mission-critical business applications and everyday workflows. By leveraging AI Squared's platform, organizations can access and integrate any data or machine-learning insight directly into their web-based business applications — leading to data-driven decisions and ML-powered innovation. Ready to learn more about how AI Squared can help you quickly infuse AI into your business workflows? Contact us today at www.squared.ai.

网站
https://squared.ai
所属行业
软件开发
规模
51-200 人
总部
Washington,DC
类型
私人持股
创立
2021
领域
machine learning、data science、business intelligence、augmented reality、trustworthy ai、Artificial intelligence、AI、ML、Last Mile和Adoption

地点

AI Squared员工

动态

  • 查看AI Squared的组织主页

    5,248 位关注者

    We are pleased to announce AI Squared was awarded a $1.5M Phase III Small Business Innovative Research Contract With Naval Information Warfare Systems Command (NAVWAR). This award aids in deploying an AI Activation platform for NAVWAR, and further extends our current partnerships within the federal sector. Learn more here - https://buff.ly/3TWtAbl Congrats to the team on successfully securing this award - Benjamin Harvey, Ph.D., Nate Fosbenner, Napoleon Paxton, and Lloyd Pierre! #aisquared #DataActivation #AIActivation

    • 该图片无替代文字
  • 查看AI Squared的组织主页

    5,248 位关注者

    ?? Automation is revolutionizing warehouses and transforming the future of supply chain operations, while AI drives smarter forecasting, streamlined planning, and greater efficiency. ?? As our founder, Benjamin Harvey, Ph.D. explains in the article, we've helped clients successfully leverage AI in order fulfillment, demonstrating how strategic AI implementation delivers real business value. ?? Read more here: https://lnkd.in/gsVtwkjY #AIIntegration #AIAdoption #AI

  • 查看AI Squared的组织主页

    5,248 位关注者

    Our founder of AI Squared Benjamin Harvey, Ph.D. discusses how Founder-Led Sales helped?AI Squared?achieve a near 6X increase in ARR in 2024 and how this founder-led method of sales led to a Salesforce proof-of-concept (POC) opportunity.

    查看Benjamin Harvey, Ph.D.的档案

    Founder & CEO of AI Squared | Research Professor | Data Science Leader

    How did AI Squared get an almost 6X increase in total booked ARR in 2024? Answer: Founder-led Sales Engine. In the early stages of founder-led sales, your network is everything. Warm introductions and trusted relationships open doors that cold outreach never could. Selling isn’t just about the product—it’s about credibility, understanding pain points firsthand, and aligning with the right champions who can drive adoption. Strong networks accelerate trust, shorten sales cycles, and create opportunities that wouldn’t exist otherwise. For example, had a great conversation with Salesforce Chief Legal Officer Sabastian V. Niles about the evolving role of AI in legal operations. That led to a second conversation with Salesforce Chief Data and Analytics Officer (CDAO) Robin Glinton. At AI Squared, we’re focused on seamlessly integrating AI into enterprise workflows, and the legal domain is no exception. Now we are working on a POC with Salesforce followed closely by Salesforce Ventures Zak Kokosa. From enhancing contract analysis to streamlining compliance, AI Squared can help Salesforce drive efficient, responsible AI adoption in its legal processes. Excited about the possibilities ahead! #AI #LegalTech #Salesforce #AISquared

    • 该图片无替代文字
  • AI Squared转发了

    查看AI Squared的组织主页

    5,248 位关注者

    ?? April Dodd-Frank Reporting Deadline: Is Your Bank's Data + AI Strategy Ready? ?? Leading banks are leveraging AI to streamline their regulatory compliance processes. Our platform helps financial institutions: ? Leverage AI-powered data aggregation to consolidate and validate cross-organizational data, ensuring regulatory submissions meet the highest standards of accuracy. ? Streamline end-to-end data pipelines, ensuring regulatory precision. ? Gain real-time data and AI insights that empower organizations to identify and mitigate risks proactively. ? Utilize continuous monitoring and automated alerts for ongoing oversight and seamless compliance audits. Whether you're a SIFI managing CCAR requirements or a regional bank optimizing resources, AI Squared helps ensure appropriate data aggregation and validation. ?? Don't wait until April. Let's discuss how AI can enable your compliance process. #AI #AIRegulation #FinServ #AIAdoption

    • 该图片无替代文字
  • 查看AI Squared的组织主页

    5,248 位关注者

    ?? April Dodd-Frank Reporting Deadline: Is Your Bank's Data + AI Strategy Ready? ?? Leading banks are leveraging AI to streamline their regulatory compliance processes. Our platform helps financial institutions: ? Leverage AI-powered data aggregation to consolidate and validate cross-organizational data, ensuring regulatory submissions meet the highest standards of accuracy. ? Streamline end-to-end data pipelines, ensuring regulatory precision. ? Gain real-time data and AI insights that empower organizations to identify and mitigate risks proactively. ? Utilize continuous monitoring and automated alerts for ongoing oversight and seamless compliance audits. Whether you're a SIFI managing CCAR requirements or a regional bank optimizing resources, AI Squared helps ensure appropriate data aggregation and validation. ?? Don't wait until April. Let's discuss how AI can enable your compliance process. #AI #AIRegulation #FinServ #AIAdoption

    • 该图片无替代文字
  • AI Squared转发了

    查看Nagendra Dhanakeerthi的档案

    CTO @ AI Squared

    ?? AI Agents Are Shaping Business Workflows, But What Makes Them Effective? It all comes down to RAG (Retrieval-Augmented Generation) the engine that enables AI Agents to retrieve, reason, and respond with real-time, context-rich insights. How RAG Works ??Think of it this way: If you asked me about our next feature launch, my brain would naturally pull together past discussions, roadmap updates, and key decisions to give you a complete answer. ?? That's essentially what RAG does, but continuously, with deeper contextual awareness. Why RAG is Gaining Momentum Now ??♂? 1. More data control than ever ??With recent breakthroughs in data lakes & warehouses, companies can finally tap into both structured & unstructured data in real-time. 2. Rising demand for context-aware workflows ??From CRM automation to customer engagement and sales intelligence—businesses need AI-driven automation that actually increases efficiency. 3. Scalability without heavy costs ??Unlike traditional approaches, RAG adapts dynamically to business needs without constant fine-tuning. At AI Squared, we're connecting enterprise data, automation, and decision-making with RAG-powered AI ???? freeing teams to focus on solving problems, not building infrastructure

    • 该图片无替代文字
  • 查看AI Squared的组织主页

    5,248 位关注者

    ???? ?????????? ???????? ???????????????????? ?????????? ???? ???? ?????????????????? ???????????????? The future of financial innovation lies at the intersection of robust data governance and AI.??As AI transforms how we manage and leverage data, financial institutions must prioritize: ?? Secure data infrastructure ?? Intelligent governance tools ?? Adaptive regulatory compliance The key? Turning data challenges into strategic advantages. ??Read more here: https://lnkd.in/dX28mTWh #AIAdoption #DataGovernance #FinServ

  • AI Squared转发了

    查看Benjamin Harvey, Ph.D.的档案

    Founder & CEO of AI Squared | Research Professor | Data Science Leader

    Great linking up with one of my colleagues and one of the greatest minds in AI - Jeff Dean from Google Had an insightful discussion with Jeff Dean from Google DeepMind on the distinction between elastic and inelastic career fields in AI. Jeff emphasized the importance of steering AI innovation towards elastic fields to foster human-machine collaboration, augmenting decision-making processes, and how AI can be a catalyst for creating new opportunities in these fields. In elastic career fields, AI complements human skills, leading to the emergence of roles centered around human-machine teaming. Conversely, in inelastic fields like agriculture, AI tends to replace human talent. #AI #Google #AISquared

    • 该图片无替代文字

相似主页

查看职位

融资