Gradient's Co-Founder and CEO, Chris Chang, is heading to IMAGINE AI LIVE 2024 this Friday July 12th in NYC! Chris will be participating on stage and conducting a workshop - sharing his learnings and expertise around building agentic automation across enterprise solutions. If you're around, we would love to chat! 👏 🔗 https://imagineai.live ✅ AI Agents for Enterprise Solutions ✅ Customizing LLMs for Enterprise Applications #Gradient #GradientAI #AIAutomation #LLM #Agents #ImagineLive2024
About us
Advancing AI agents for the modern enterprise.
- Website
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http://www.gradient.ai
External link for Gradient
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- San Francisco
- Type
- Privately Held
- Founded
- 2022
Locations
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Primary
San Francisco, US
Employees at Gradient
Updates
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We recently worked with an asset manager to help automate and enhance their trade settlement process using Gradient Agent Foundry. Powered by Albatross, Gradient’s domain-specific LLM in finance, the team saw significant operational improvements and cost savings. 🔗 https://lnkd.in/gHi7syda 📉 75% Reduction in Manual Processing 📉 85% Decrease in Error Rates 📈 Improved Regulatory Compliance 📈 Enhanced Counterparty Relationships With Gradient, you’ll discover the fastest way to automate your manual processes with AI. Explore what other financial institutions are working on: https://lnkd.in/dZvJfa8c #Gradient #GradientAI #AIAutomation #LLM #GradientAgentFoundry #EnterpriseAutomation #FinServ
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Gradient's Chief Scientist, Leonid Pekelis, will be joining the team at Data Phoenix on July 18th to share his thoughts on how to build time series foundational models and the impact it has on enterprise automation! 🔥 Register today to learn about: 🔗 https://lnkd.in/gc5m-BZ6 ✅ Cross-Industry Time Series Analysis ✅ Intro to Transformer Modalities in Time Series ✅ State-of-the-Art Time Series Models ✅ Preview of Multimodal Foundational Models #Gradient #GradientAI #LLMs #AIAutomation #EnterpriseAIAutomation #TimeSeries
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Gradient's Co-Founder and Chief Architect, Mark Huang, recently had the opportunity to sit down with Amanda Robson and Timothy Chen on Open Source Startup Podcast to share all the things we've been working on! 🔥 🎥 https://lnkd.in/gMkBDH3w ✅ Empowering AI Automation ✅ Developing Open-Source Long Context Models ✅ Enterprise Use Cases Across Industries #Gradient #GradientAI #LLM #OSSPodcast #LongContextModels #FinTech #Healthcare #EnterpriseAutomation #AIAutomation
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Our team had a fantastic time last night at TensorWave's fireside chat, discussing the future of compute. A huge thank you to Darrick and team for inviting Leonid Pekelis to join in on the fun and all the other panelists who took time out of their day to share their insights (Paul Merolla and Ramine Roane). Cannot wait to join in on the next one. If you're interested in how Gradient is enabling AI-powered solutions for enterprise use cases - lets chat! https://lnkd.in/g5yymUFC #Gradient #GradientAI #Tensorwave #AMD #MK1 #FutureofCompute
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Gradient is constantly working with enterprise customers to automate their operations, which is why we’re excited to share an in-depth look at one of our existing customers - Sinpex. Discover how Sinpex partnered with Gradient to develop an AI-powered data extraction solution to automate their KYB process - significantly driving ROI and ease-of-use for their customers. 🔗 https://lnkd.in/dmwM6Rgt 📈 Improved Response Capabilities 📈 Increased Accuracy 🌎 Expanded Coverage on KYB Related Questions "Partnering with Gradient was an important step forward for us. The impact of their custom AI-powered solutions on our KYB processes has been transformative. Not only have we seen a significant improvement in accuracy and efficiency, but the ease of integration into our existing infrastructure was seamless, allowing us to leverage our current GCP stack without disruption. - Dr. Camillo Werdich Founder and CEO at Sinpex. #Gradient #GradientAI #Sinpex #CustomerStory #KYC #KYB #FinServ #AITransformation
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Gradient's Chief Scientist, Leonid Pekelis, recently sat down with VentureBeat to discuss how we developed several AI at Meta Llama-3 models with context lengths of over 1M! In addition to the handful of open-source models we've developed, we've also crated proprietary long context models that are designed for enterprise as well. As always, a huge thank you to Crusoe for sponsoring the compute on the work and we look forward to future projects together! 🤝 https://lnkd.in/gcsEpHvU #Gradient #GradientAI #Meta #Llama3 #ContextLength #Crusoe
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Join us on Tuesday June 25th as Gradient’s Co-Founder and Chief Architect, Mark Huang, will be joining TensorWave and other thought leaders (see below) for an exciting fireside chat on the future of compute. We’ll be touching up on AMD's MI300X, the impact that it's had on emerging ecosystems, cross-platform benefits, and how you can implement the latest updates in your inference workloads. 🎟️ https://lu.ma/z5zq966l Darrick Horton - CEO of TensorWave Paul Merolla - CEO of MK1 Ramine Roane - CVP of AI at AMD #Gradient #GradientAI #AMD #MI300X #Tensorwave #Compute
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Co-founder and Chief Architect, Mark Huang, recently sat down with the team at Software Huddle to chat about autonomous AI agents and why it's been such an interesting area to work on for our team at Gradient! 🙌 Watch the Full Episode Here: https://lnkd.in/gfkzKZBZ A huge thank you to Sean Falconer and Alex DeBrie for having us! If you're interested in chatting with our team to see how you can automate your enterprise workloads, don't hesitate to reach out! 👋 https://lnkd.in/g5yymUFC #Gradient #GradientAI #EnterpriseAutomation #AIAgents #Agents #LLMs #SoftwareHuddl
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Are you attending AI Engineer World’s Fair this year? Our team will be attending and participating as a guest speaker! Come checkout out our session as Gradient’s Chief Scientist, Leonid Pekelis, dives into the intricacies of developing Albatross - Gradient’s domain-specific model in finance. 📍 San Francisco CA. 📅 June 26th at 2PM 🗣️: Room YBB Salon 8 🎟️ https://lnkd.in/ePFTZhh3 #Gradient #GradientAI #AIEngineerWorldFair #LLM #Inference #Training
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