StackAI’s cover photo
StackAI

StackAI

Software Development

San Francisco, CA 24,467 followers

Enterprise AI loved by finance, risk and operations teams. Power your AI transformation strategy with StackAI.

About us

Enterprise AI trusted by Finance, Risk and Operations teams. Power your AI transformation strategy with StackAI. Backed by YC and Google. We are a small dedicated team of insanely talented individuals relentlessly pushing the boundaries of what’s possible with AI. We are pioneering a new horizontal platform allowing anyone to build and deploy AI agents and automations. Companies across industries—including healthcare, legal, financial, logistics, and defense—use StackAI make their organizations faster, more efficient, and scalable, leveraging the power of AI. With strong backing from YC and Google, we're set to double our team size in 2026. This is an exciting time to join if you want to build a category-defining product with strong customer momentum. We're looking for user-centric, craft-focused, creative minds who work hard but don't take themselves too seriously. We're ambitious yet pragmatic. We move fast, but care about the important details. We're hiring for a range of roles. Reach out if you'd like to learn more!

Website
https://www.stackai.com
Industry
Software Development
Company size
51-200 employees
Headquarters
San Francisco, CA
Type
Privately Held
Founded
2023
Specialties
AI Automation, Enterprise Search, AI agents, LLMs, Enterprise AI, Chat Assistants, AI Assistants, and Workflows

Products

Locations

Employees at StackAI

Updates

  • StackAI reposted this

    From the early days of StackAI, we chose to do one thing differently: make AI agents seamless and convenient for the people actually using them. That's why we built customizable UI/UX directly into StackAI ⬇️ Pick the interface that fits your use case (chat assistant, website chatbot, form, or batch) or put agents straight into Slack, Teams, email…the list goes on! Every agent deserves a face. Try it out on StackAI today :)

  • StackAI reposted this

    My latest for Forbes: the AI agent architecture winning right now. I've spent three years inside enterprise AI deployments across private capital, legal, healthcare, insurance, and banking. The AI workflows with the highest ROI across industries follow some similar patterns: event based trigger + multi-agent teams + human-in-the-loop. 🏦 In private capital, an inbound deal triggers a team of agents that classify the opportunity, parse the attachments, screen it against the firm's criteria, and draft a preliminary memo before the associate even opens their morning queue. 🏥 In healthcare, a prior auth agent pulls clinical evidence from the EHR, matches it to payer criteria, drafts the letter, and sends it to a nurse case manager who approves or edits in seconds. 📝 For legal teams, a new contract lands and one agent extracts the key clauses, a second compares them against the firm's gold standard, and a third drafts a redline with proposed alternative language, all routed to the reviewing attorney's queue so nothing goes out without sign-off. My advice to CIOs and tech leaders: ignore the noise and focus the patterns driving the most value. Link to full article in comments.

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  • StackAI reposted this

    Healthcare AI has crossed the adoption threshold! The more interesting question now is what health systems are using it for. The fastest growth is still in relatively contained use cases like ambient documentation and patient messaging. Meanwhile, workflows with direct financial impact, such as denials, appeals, and eligibility, remain far less adopted. The highest-value opportunities are rarely solved by adding another standalone AI tool! They require access to the EMR, payer portals, policy documents, operational data, and human approval steps in one workflow. StackAI Asana

  • StackAI reposted this

    Copilot is the JCPenney of Agentic AI. This is something one of my customers said to me, I haven't stopped thinking about (comment if you want to identify yourself😉) At first, I thought the JCPenney comparison was just a good line. Then I looked at the story, and it’s actually the point! JCPenney had distribution. It anchored malls across America. What it lost was the customer. 🏬 Copilot's bundled into 440M M365 seats. Weekly active usage: ~20M. ChatGPT's: 800M+. Distribution ≠ demand. Ron Johnson tried to reinvent the company for a shopper it didn’t have. Sales fell 25% in 2012. Years later, it survived bankruptcy partly because mall landlords needed the anchor to stay open. 🏬 A chat sidebar bolted onto Word and Teams, called "agentic," was never built for the multi-step, regulated workflows healthcare and finance actually run on. That’s the risk with enterprise AI today. Being bundled into every seat is not the same as being adopted. Being everywhere is not the same as owning the workflow. 🏬 Copilot survives because it protects the M365 seat, not because it's winning the workflow. The real question is depth, not distribution! That’s the gap StackAI was built to close :)

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  • StackAI reposted this

    View organization page for Nova

    163,178 followers

    Toni Rosinol built StackAI in under 3 years before the company was acquired by Asana. Our co-founders Ramón Rodrigáñez Riesco and Andrea Marino sat down with him for a conversation most founders don't have candidly. A few things that came up: 🔹 We talked about what StackAI was looking for in its next chapter, why they didn't need to sell, and what ultimately made Asana the right long-term partner 🔹Toni pointed to Slack, GitHub and YouTube as the mergers that worked because the acquired company stayed itself. No scripts. No filters. Just a real conversation about building, selling, and what's next. 🎙️ Signal by Nova. Episode 15 link in the comments. #SignalByNova #NovaTalent #StartupExits #AI #FutureOfWork

  • StackAI reposted this

    🚀 100+ AI Agent Use Cases That Every AI/ML Professional Should Explore As AI continues to evolve, we're entering a new era where AI Agents are becoming more than just conversational assistants—they're autonomous systems capable of reasoning, planning, using tools, and executing complex workflows. I recently explored a StackAI resource covering 100+ real-world AI Agent use cases across multiple industries, and one thing became very clear: The future of AI isn't just about Large Language Models—it's about intelligent agents that can solve real business problems. Some of the domains where AI Agents are already creating measurable impact include: ✅ Banking & Finance ✅ Insurance ✅ Healthcare & Education ✅ Government Services ✅ Legal & Compliance ✅ Sales & Marketing ✅ Operations & Supply Chain ✅ Wealth Management ✅ Real Estate ✅ Manufacturing & Industrial Automation What stood out most wasn't the technology itself—it was the practical applications. From automating customer support and document analysis to fraud detection, compliance monitoring, research assistants, workflow automation, and decision support systems, AI Agents are redefining how organizations operate. For anyone learning AI, Machine Learning, or Generative AI, I believe the next step isn't just prompting LLMs—it's learning how to build agentic systems that combine: • LLMs • Retrieval (RAG) • Memory • Tool Calling • Multi-Agent Collaboration • Workflow Automation • Human-in-the-Loop Decision Making Whether you're an AI Engineer, ML Engineer, Data Scientist, Software Developer, or a student, studying practical AI Agent use cases is one of the best ways to understand how modern AI is being deployed in production. The question is no longer "Can AI do this?" It's becoming: "How can we design AI Agents that reliably solve real-world problems?" I'm excited to continue exploring, building, and sharing practical AI Agent architectures, workflows, and implementation patterns. 💡 Which AI Agent use case do you find most exciting or valuable for the future? #AI #AIAgents #GenerativeAI #MachineLearning #LLM #ArtificialIntelligence #AgenticAI #RAG #Automation #DataScience #Python #OpenAI #LangGraph #CrewAI #AutoGen #AIEngineering #Innovation #Tech #StackAI

  • StackAI reposted this

    🤯 Most ops teams still move data between tools by hand, chase manual status updates, and reconcile records one by one... With StackAI, you don't have to. Here are 3 AI agents transforming operations and saving teams around the world thousands of hours: ✅ 𝗩𝗲𝗻𝗱𝗼𝗿 𝗢𝗻𝗯𝗼𝗮𝗿𝗱𝗶𝗻𝗴 𝗔𝗴𝗲𝗻𝘁 – parses vendor docs, routes for approval, updates records and emails vendors automatically ✅ 𝗜𝗻𝘃𝗼𝗶𝗰𝗲 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝗔𝗴𝗲𝗻𝘁 – extracts invoice data, matches POs against the ERP, posts validated records straight to NetSuite ✅ 𝗜𝗻𝗳𝗼𝗦𝗲𝗰 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝗻𝗮𝗶𝗿𝗲 𝗔𝗴𝗲𝗻𝘁 – drafts security questionnaire answers from your past RFPs, formatted and ready for review Want to automate your most repetitive manual processes with secure, no-code AI agents? Watch the full video, and book a demo using the link below.

  • StackAI reposted this

    Happy to announce, I'm joining an incredible team at Stack AI as a Forward Deployed Engineer! Really excited to work on the bridge between frontier research and real life applications, learning and contributing as much as I can ☘️

    View organization page for StackAI

    24,467 followers

    Introducing Sergey Sedov, StackAI's newest Forward Deployed Engineer! With a strong background in ML research and firsthand founder experience, he'll partner closely with our enterprise customers to build out transformative AI workflows. Welcome to the team!

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