Distyl’s cover photo
Distyl

Distyl

Software Development

San Francisco, California 7,997 followers

Rearchitecting Entire Industries for Frontier Technologies

About us

Distyl AI partners with blue-chip leaders to help them create the enterprises of the future. The company’s technology, talent, and research have driven outcomes for the world’s greatest companies, including leaders in telecommunications, healthcare, and financial services. Their proprietary platform, Distillery, curates context from across the enterprise and adapts to each customer’s needs, prioritizing the outcomes customers need to show impact in months, not years. Headquartered in San Francisco, Distyl has reached more than 120 million end users and delivered hundreds of millions in operating impact across industries. Distyl is backed by Lightspeed Venture Partners, Khosla Ventures, DST Global, Coatue, and Dell Technologies Capital.

Website
https://www.distyl.ai/
Industry
Software Development
Company size
51-200 employees
Headquarters
San Francisco, California
Type
Privately Held

Locations

Employees at Distyl

Updates

  • Ever wondered what happens when thousands of AI agents are allowed to freely share ideas, debate, and evolve in real time? Visit us at #NeurIPS2025 this week to join in on an interactive, many-agent simulation featuring: 🕵️♀️ Investigators: Objective-driven agents tasked with discovering their purpose. 🃏 Distractors: Chaos creators trying to disrupt and distract. 🌀 Bystanders: Highly influenceable agents adapting to their neighbors. 🧩 Custom Agents: Agents reshaping the simulation according to user specifications The simulation will run from the Dec 2nd through the 5th at Booth #635, with findings shared afterward. Come find us and inject your own agent, add an investigator, or stir things up with another distractor. #distylai #neurips #distylresearch

  • Who’s heading to #NeurIPS2025 next week? Distyl is a proud sponsor this year, and our Research team will be on site all week. If you’re building systems that can discover opportunities, self-construct production-grade pipelines, or coordinate multi-agent workflows, we should talk. Find us at Booth #635 or come meet the whole team and play 👾 OG arcade games at our Systems Social on Friday, December 5th @ 6:30pm.   🔗 Register → Space is limited → https://luma.com/hy0nf3d1 We hope to see you there! Karime Maamari, Daniel Jaroslawicz, Philippe Wyder, Yenchia Feng, Ph.D., Durga Sandeep Saluru, Benjamin Fowlersmith, Nikhil Gangaram, Rahul Singhal

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    7,997 followers

    The next frontier in enterprise AI is systems that can discover, self-construct, and continuously improve themselves. Over the past few years, the space has moved from single-call prompts to structured workflows to autonomous agents. But this newfound autonomy is still aimed at utility: how do we discover and self-construct architectures that accomplish the task at hand? For our customers, utility isn’t enough. Systems must operate at or near state-of-the-art levels to earn trust, integrate into real workflows, and survive production considerations. With this in mind, our goal is to direct autonomy not toward utility, but toward mastery. Systems that don’t just execute tasks, but actively push toward frontier performance. Ask your favorite coding agent to produce a conversational system, a text-to-SQL engine, a digital twin—would you deploy it into production out-of-the-box? Three pillars define this push: 1. System Discovery: The automated identification of high-impact opportunities and associated architectures. 2. System Self-Construction: The automated translation of opportunities into production-grade, state-of-the-art systems. 3. System Self-Improvement: The automated refinement of system scaffolding according to a set of objectives, verifiable or not. Beyond frontier-grade performance, this triad also forms the basis for compounding enterprise transformation. As systems come online, they of course provide value in their isolated scopes. But they also expand the opportunity landscape by feeding their functionality and data products back into system discovery. The combination of discovery, self-construction, and self-improvement is not just an efficiency gain—it is an engine enabling transformation. 👉 Ready to move beyond utility? Read more → https://lnkd.in/gz9pbUeq

  • If you’re working with agents, voice, or multi-agent systems, join us tomorrow for ⚡️AI Lightning Talks at 6pm in our NY office. We’re running three focused 15-minute sessions, with food, drinks, and plenty of time to meet other builders: • Jake Wallin, Distyl — Stagehand: Orchestrating Agentic Browser Use • Taruni Paleru, Hathora — Modeling the Future of Voice AI • Alex Kesling, Empathic — Human, may I? Authorization as Dialogue in Multi-Agent Systems 🗓️ Last call to RSVP: https://luma.com/j6um4g2s See you there.

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    7,997 followers

    Our engineering team is teaming up with Hathora to host AI Lightning Talks at our NYC office. If you’re looking to level up your AI understanding or connect with the local builder community, join us for an evening of 15-minute technical deep dives from leading practitioners: ‣ Stagehand: Orchestrating Agentic Browser Use — Jake Wallin, AI Researcher, Distyl ‣ Human, may I? Authorization as dialogue in multi-agent systems — Alex Kesling, CTO, Empathic ‣ Modeling the Future of Voice AI — Taruni Paleru, AI Special Projects PM, Hathora   🗓️ Sign up → luma.com/j6um4g2s Thank you to Hathora and Gabi Weinberg for building this community learning space with us.

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    7,997 followers

    Contact centers are among the most impactful real-world applications of AI. At Distyl, we power advanced agentic contact center systems where every interaction must reflect a brand’s voice and values, not just resolve an inquiry. In our latest blog, we explore three major risk vectors in AI-driven contact centers and provide practical architectural and guardrail based mitigations. Featuring examples from a sample contact-center agent, we show how to design systems that stay helpful, compliant, and brand-aligned . Read the full post: https://lnkd.in/gBm9WR7T #AI #ContactCenter #LLM #BrandSafety #OpenAI #Distyl #AgenticAI #CustomerExperience

  • View organization page for Distyl

    7,997 followers

    Our New York team is growing fast. As Distyl continues to scale partnerships with the world’s most ambitious enterprises, we’ve moved into a larger Manhattan office to support our next stage of growth. If you’re driven to build the systems that will define the next era of enterprise, we’re hiring for: • AI Engineer • Head of Strategic Impact & Dialogue • Head of Finance • Executive Assistant 📍 Join our NY team → distyl.ai/careers

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    7,997 followers

    Vinod Khosla recently shared his perspective with The Information on what separates successful enterprise AI implementations from the 95 % that stall out: execution by AI-native partners. “If a company like Distyl runs the project, it goes swimmingly well,” he said. “When in-house teams try, it usually goes poorly.” His point underscores the shift underway, where enterprises are realizing that strategy and delivery in AI demand a new kind of partner. 👀 Watch the clip below 🔗 Full Interview → https://lnkd.in/gHAhGBsA

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    7,997 followers

    We're thrilled to be part of Redpoint’s AI64 list, which highlights 64 private companies shaping AI applications. Proud to be in such outstanding company, congratulations to everyone listed! 👀 View the List→ redpoint.com/ai64/

    View organization page for Redpoint

    58,627 followers

    Introducing the Redpoint AI64: our list of the top emerging enterprise AI applications. Check out the honorees and dive deeper with the full report, linked in the comments!

  • View organization page for Distyl

    7,997 followers

    We're hiring within Distyl Research across six key dimensions, each pushing the boundary on a different frontier. If you want a front-row seat in redefining how enterprises build and deploy intelligent systems, now's the time to join! Open research roles: • Applied AI Researcher, System Discovery – building systems to uncover new classes of AI systems emerging from recent advancements in the space. https://lnkd.in/g2AGsWfB • Applied AI Researcher, System Self-Construction – building systems to self-construct state-of-the-art AI systems. https://lnkd.in/grEPrGmq • Applied AI Researcher, System Self-Improvement – building systems to iterate upon and self-improve AI systems. https://lnkd.in/g3M8_EdU • Applied AI Researcher, Benchmarking – establishing rigorous evaluation frameworks to define how progress is measured. https://lnkd.in/gKbAmnD8 • Applied AI Researcher, AI Systems – designing, building, and optimizing end-to-end AI systems both for internal and external use. https://lnkd.in/gBteY83V • Applied AI Researcher, Post-Training – adapting and aligning foundation models for enterprise-scale intelligence and safety. https://lnkd.in/gwCBNDjY 🔗 View all roles: https://lnkd.in/egYRXyKw

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