# InstaLILY - full site content > Lily learns how your business works, builds the software the work needs, and runs it across the systems and agents you already use. InstaLILY (instalily.ai) builds Lily, the AI Forward Deployed Engineer for the physical and regulated economy. Lily embeds with a customer's team, learns the workflow, and ships production systems inside the customer's existing stack. Founded 2023, US-based. ## Product ### InstaLILY Products URL: https://instalily.ai/products The InstaLILY product suite: Lily the AI Forward Deployed Engineer, Forward Deployed Engineering, the platform beneath every system she builds, and the Small Data Center. ### Lily: AI Engineer Across Your Business URL: https://instalily.ai/lily Meet Lily, the AI Forward Deployed Engineer that works across enterprise systems and agents, coordinates the work, and builds what is missing. ### InstaBrain: Your Company's Brain URL: https://instalily.ai/instabrain InstaBrain learns how your business works, captures the judgment your people carry, and keeps it current. Single-tenant, deployed in your environment, and the knowledge it builds is yours. ### InstaCoach: AI Sales Coaching for Field Teams URL: https://instalily.ai/instacoach InstaCoach learns how your best reps sell, coaches every rep to that standard on every conversation they have, then does the work that moves the deal forward. ### InstaControl: Agent Control Plane URL: https://instalily.ai/instacontrol InstaControl is where you set what agents may do, watch what they cost, and prove what they did. Policy, approvals, and the full trace of every action, in your cloud, your data center, or air-gapped. ### InstaProspect: AI Lead Generation URL: https://instalily.ai/instaprospect InstaProspect learns how your best reps generate pipeline and runs that playbook across your entire market: finding, scoring, enriching, and working leads inside your existing CRM and outreach tools. ### InstaQuote: AI Quoting and RFQ Automation URL: https://instalily.ai/instaquote InstaQuote learns how your best reps quote, including the exceptions, the customer rules and the margin calls, then runs that on every request that hits your inbox, inside the systems you already use. ### Enterprise AI Platform for Lily URL: https://instalily.ai/platform One shared platform beneath every system Lily builds: contracts, connectors, controls, deployment, and audit, built once and configured around your business. ### Small Data Center for Enterprise AI URL: https://instalily.ai/small-data-center Run enterprise AI in the cloud, on premises, or at the edge with an always-on intelligence stack built with NVIDIA technology. ## Solutions ### Solutions URL: https://instalily.ai/solutions Explore how Lily puts AI to work across industrial distribution, manufacturing, automotive, field service, healthcare, and pharma. ### AI for Industrial Distribution and MRO URL: https://instalily.ai/solutions/mro Automate RFQs, quoting, order entry, product search, and sales follow-up across email, PDF, fax, CRM, and ERP with Lily. ### AI for Manufacturing and OEM Dealer Networks URL: https://instalily.ai/solutions/oem Give every territory manager a live view of dealer demand, inventory, and competitive exposure, and automate rules-compliant quotes with Lily. ### AI for Automotive Dealer Networks, Parts and Suppliers URL: https://instalily.ai/solutions/automotive Rank every dealer visit and account call, clear the warranty, order, and claims backlog, and get ahead of quality and delivery risk with Lily. ### AI for Field Service URL: https://instalily.ai/solutions/field-service Build compliant schedules, rebalance callouts, surface the right procedure, and turn service signals into revenue inside your FSM and CRM. ### AI for Supply Chain and Logistics URL: https://instalily.ai/solutions/supply-chain-logistics Run quote-to-cash on the freight desk: rate requests, quoting, tendering, appointments, exceptions, documents, and invoice audit inside the TMS and ERP you already have. ### AI for Healthcare and Pharma Operations URL: https://instalily.ai/solutions/pharma Unify commercial, access, pricing, and patient-support work across healthcare and pharma systems with secure, auditable AI from InstaLILY. ### Private Equity URL: https://instalily.ai/solutions/private-equity AI built for the complexity of the physical economy. InstaLILY works alongside PE operating teams and inside their portfolio companies - AI that executes the work. ## Case studies Twelve customer deployments, described rather than named at the customers' request. Index: https://instalily.ai/case-studies ### How fast does a distributor have to answer a quote to win? URL: https://instalily.ai/case-studies/quoting-speed At a national distributor of industrial automation components, about one in ten inbound quote requests arrived through the website contact form. AI agents took that queue in late 2025. In the first month they answered more than six thousand emails and returned roughly fifteen hundred quotes, escalating to a human only when it required one. Measurement window: Website quote queue, first thirty days after launch and first two months after launch, late 2025 into early 2026. Response time baseline measured pre-launch. Industry: industrial automation distribution. Task: inbound quote automation. Q: How quickly does a distributor need to respond to an inbound quote request? A: Response probability falls sharply by the hour. This distributor's own read was that a response inside an hour carries the highest win probability, and that past four or five hours it is barely worth responding. Q: What share of inbound volume is safe to automate first? A: This deployment began with roughly a tenth of inbound volume, the website contact form, chosen specifically as the lowest-complexity queue, then worked up the complexity chain. ### What do misrouted support emails actually cost in first response time? URL: https://instalily.ai/case-studies/misrouting-cost At a multibillion-dollar third-party logistics provider, support emails that had to be moved between teams added about nine business hours to the first response. InstaLILY agents took over triage at the end of 2025, classifying each email on arrival. Four months in, routing cycle time was down roughly ninety-eight percent and throughput per person had more than tripled. Measurement window: Launch late 2025. Routing cycle time, daily case volume and per-person throughput measured at four months, early 2026. Nine-hour first response penalty is a pre-launch baseline. Industry: third-party logistics. Task: support email triage and routing. Q: What does it cost when a support case is routed to the wrong team? A: At this provider, roughly nine additional business hours of first response time on every case that had to be moved across the organization. Q: What happens to staffing once triage is automated? A: This company reduced resources on the triage team, then negotiated a service level agreement with escalation paths and manual-reversion contingencies, because the manual fallback capacity no longer existed. ### Reasons why field technicians make a second trip, and how to stop it? URL: https://instalily.ai/case-studies/costly-second-trips Technicians at a billion-dollar distributor of commercial kitchen and HVAC replacement parts could spend close to two hours identifying an unfamiliar component. An InstaLILY part identification agent returns a likely match in a fraction of a second. In the divisions with the company's worst first-time fix rates, requiring technicians to run it before the visit lifted first-time fix by five to six points. Measurement window: Technician count, search volume and hours returned are cumulative to early 2026. First-time fix lift measured in the pilot divisions during 2026, against those divisions' own prior rates. Industry: foodservice equipment and HVAC parts distribution. Task: field service parts identification. Q: How long does it take a technician to identify a replacement part manually? A: Close to two hours for an unfamiliar unit, cross-referencing model numbers, schematics and superseded part codes across systems that do not connect. Q: Does part identification alone improve first-time fix rate? A: Not by itself. The lift of five to six points came from a procedural change, requiring technicians to run the lookup before the visit and stock the likely part on the van. ### What is it worth when senior sales reps finally adopt the tool? URL: https://instalily.ai/case-studies/tool-adoption At a national industrial fastener and construction products distributor, the most senior reps would not touch a new AI sales platform. After commissions were restructured around what the platform surfaced, usage doubled inside a month. Over the following year, reps who used it grew their books month over month while reps who never logged in shrank theirs, in the same market. Measurement window: Launch autumn 2025. Adoption inflection mid-June 2026. Active versus inactive divergence and rep coverage measured through July 2026. Daily revenue and company growth cover the first two quarters after launch and the full year to mid-2026. Industry: industrial fastener and construction products distribution. Task: sales tool adoption. Q: Why won't senior outside sales reps use a new sales tool? A: At this distributor the pattern was inverse to tenure. Senior reps read any new tool as an additional task rather than a faster route to work they were already doing. The lever that moved it was restructuring commissions around what the tool surfaced. Q: Is sales tool adoption measurable in revenue? A: At this company it was. Reps who used the platform grew their books month over month while reps who never logged in shrank theirs over the same period in the same market, with the gap widening every month it was measured. ### Can one AI deployment serve technicians, branch managers, sales reps and customers at once? URL: https://instalily.ai/case-studies/multiplayer-ai At a Fortune 500 equipment rental company, finding the right page of a service manual took one to two hours. It now returns in seconds, across roughly eighty percent of fleet value. The same deployment answers policy questions for branch managers, part questions for technicians, product questions for customers on the storefront, and planning questions for outside sales reps. Measurement window: Production, early to mid 2026. Fleet value coverage and lookup time measured against a pre-launch manual baseline of one to two hours. Sales pilot weekly active rate measured spring 2026. Industry: equipment rental. Task: service manual and parts lookup. Q: Can a single AI deployment serve internal and customer-facing users? A: At this company, yes. One deployment answers branch policy questions, technician part questions, customer storefront questions and sales planning questions, across several thousand users on production systems. Q: Do outside sales reps actually use AI sales tools? A: This company's sales pilot ran at roughly two-thirds weekly active, well above the norm for sales tooling. ### How do you coach a hundred field sales reps when ride-alongs don't scale? URL: https://instalily.ai/case-studies/coaching-reps At a national residential foundation repair company, reps in the bottom quartile closed roughly half as many appointments as reps at the top. Recording appointments and returning an automated coaching report card cut post-visit paperwork by more than half an hour per visit and pulled new-hire time to productivity from about ninety days to about forty-five. Measurement window: Paperwork saving and new-hire ramp are the company's own reporting, 2026. Heavy-user net sales per lead measured week over week against non-adopting reps during the same period. Closing-rate quartile gap is a pre-launch baseline. Industry: residential foundation repair. Task: field sales coaching. Q: How do you deliver sales coaching to reps who work alone? A: Recording the appointment and returning an automated report card reproduces the ride-along feedback loop without requiring a manager in the passenger seat, which is what limits coaching to the reps who need it least. Q: What proves adoption is worth the spend? A: At this company, separating genuine users from installers and charting net sales per lead week over week. The adopting cohort climbed while the rest stayed flat, which justified the spend to the board and the effort to the field at the same time. ### Why do pharma reps ignore CRM targeting lists, and what changes that? URL: https://instalily.ai/case-studies/target-lists Industry adoption of CRM targeting in pharma runs roughly twenty to thirty percent. At a specialty manufacturer of plasma-derived therapies, an agent that reads dispensing data continuously and attaches the reasoning to every recommended call reached adoption above ninety percent within six months, with adherence to high-priority targets above eighty-five percent. Measurement window: Six months after deployment, 2026, against the company's own pre-launch norms and against published industry CRM adoption baselines of twenty to thirty percent. Industry: plasma-derived therapies manufacturing. Task: pharmaceutical field force targeting. Q: Why do pharmaceutical reps ignore CRM targeting lists? A: Because a list that names a physician without explaining why, built on data that was current last quarter, competes with an experienced rep's instinct and loses. Industry adoption sits at roughly twenty to thirty percent. Q: What makes a rep trust an AI-generated call list? A: Attaching the reasoning to every recommendation, refreshing off continuous dispensing data, and being willing to say where not to go. Reps check the recommendations against what they already know and stop arguing once they are right often enough. ### Why build prescriptive alerts instead of another dashboard? URL: https://instalily.ai/case-studies/alerts-win A multibillion-dollar building products distributor deployed AI to more than two thousand territory managers and returned roughly a quarter of a million hours a year, doubling rep productivity inside six months. When it turned to branch managers in 2026 it refused to build a dashboard, on the grounds that consolidating systems into one view encodes a human judgment about what matters and then inherits that bias permanently. Measurement window: Territory manager deployment: hours returned, productivity and overhead measured across the first six months and annualized, 2024 into 2025. Branch manager work is 2026 and pre-outcome. Industry: building products distribution. Task: prescriptive operational alerting. Q: Is a consolidated dashboard the right answer to operational data spread across systems? A: This company argued no. Choosing which numbers appear in a single view is a human judgment the system then inherits permanently, which suppresses exactly the unknown patterns AI is useful for surfacing. Q: What does prescriptive mean in practice for a branch manager? A: Flagging a revenue anomaly while there is still time to call the customer rather than at month close, projecting Friday overtime from Monday-to-Thursday hours, and noticing when a nearer branch could deliver more cheaply. ### What happens when a sales team that has never used a CRM gets one that logs itself? URL: https://instalily.ai/case-studies/data-entry-is-dead At a national trailer manufacturer selling through more than a thousand independent dealers, reps did not know how to log into the CRM the company had bought, because logging a day of calls properly took about three hours in the evening after driving all day. Eight weeks after replacing it, weekly logged activity had grown roughly sevenfold from a standing start. Measurement window: First eight weeks after launch, mid-June to mid-August 2026, against a pre-launch baseline of effectively zero CRM usage. Industry: trailer manufacturing and dealer networks. Task: CRM activity capture. Q: Why do outside reps abandon a CRM the company already paid for? A: At this manufacturer, because logging a day of calls properly took roughly three hours in the evening after a full day of driving. The cost of compliance exceeded any benefit the rep could see. Q: How fast can a team with no CRM habit build one? A: This team went from effectively zero to roughly sevenfold weekly logged activity in eight weeks, with task completion above eighty-five percent, by shrinking the logging burden rather than enforcing it. ### How do you measure an AI sales lift honestly when the market is also moving? URL: https://instalily.ai/case-studies/measurability A manufacturer with a territory-based outside sales force refused to grade its AI pilot against the prior year. It compared pilot reps against non-pilot reps selling the same products into the same conditions over the same period, subtracted what the market was doing anyway, and published the roughly five percent lift in sales per account that survived. Measurement window: Single pilot month, 2026. Lift measured against a matched non-pilot rep cohort over the same period rather than against the prior year, with market movement subtracted. Daily-user and top-performer figures cover the same month. Industry: territory-based manufacturing sales. Task: AI sales lift measurement. Q: Why is year-over-year the wrong comparison for an AI sales pilot? A: Because a rising market inflates the result. This company compared pilot reps to a matched cohort of non-pilot reps over the same period and subtracted market movement, which cut the headline substantially and left a defensible number. Q: What lift is realistic from an AI sales assistant? A: At this company, roughly five percent on sales per account across the full pilot population after controlling for the market, with the daily-user cohort up close to thirty percent. ### How long does it take to build a monthly staffing schedule for an urgent care clinic? URL: https://instalily.ai/case-studies/staff-scheduling About a week per clinic, followed by a fifteen-day cross-clinic reconciliation, every month. Across a regional urgent care network of several dozen clinics in the Northeast, that consumed roughly forty percent of a practice manager's working time. The network expanded AI scheduling from a single district to its full footprint in summer 2026, before the first measurement window had closed. Measurement window: Baseline schedule build time, reconciliation cycle and practice manager time allocation are pre-launch, 2025 into 2026. The five contractual outcome measures are in their first window and unreported. Industry: urgent care. Task: clinical staff scheduling. Q: How much of a practice manager's time goes to scheduling? A: At this network, roughly forty percent, driven by a week-long build per clinic plus a fifteen-day cross-clinic reconciliation on a repeating monthly cycle. Q: What breaks a clinic schedule after it publishes? A: A six a.m. call-out. The schedule gets rebuilt live by phone while patients are arriving, which is where overtime, agency spend, longer wait times and patients leaving without being seen all originate. ### Can AI agents run inside our own cloud, under our own security controls? URL: https://instalily.ai/case-studies/get-on-my-cloud Yes. At a multibillion-dollar healthcare products distributor, that was the condition of the project. The work runs inside the customer's own managed cloud environment, under the customer's own access controls, cleared through the customer's own IT and security review, and managed by the customer's existing infrastructure partner. The data never leaves. Measurement window: Deployment architecture and security governance, 2026. Outcome figures withheld. Industry: healthcare products distribution. Task: customer-controlled cloud deployment. Q: Can AI agents be deployed without moving data to the vendor? A: Yes. At this distributor the deployment runs inside the customer's own managed cloud tenancy, under the customer's access controls, with systems of record reached through controlled exports. Q: Who manages the environment? A: The customer's existing infrastructure partner, under the customer's own IT and security governance, cleared through the customer's review process before any data moved. ## Company ### Forward Deployed Engineering for Enterprise AI URL: https://instalily.ai/fde How InstaLILY embeds AI into high-value workflows, connects enterprise systems, and delivers measurable results in weeks, not quarters. ### About InstaLILY URL: https://instalily.ai/about InstaLILY builds Lily, the AI Forward Deployed Engineer for businesses that make, move, and fix the things the world runs on. ### The Team Building Lily URL: https://instalily.ai/team The engineers, operators, and researchers building Lily and the enterprise AI systems behind InstaLILY. ### Amit Shah - Founder & CEO URL: https://instalily.ai/team/amit-shah Amit Shah is Founder and CEO of InstaLILY, the autonomous AI platform for the physical economy. Two decades building and scaling technology-driven businesses, from early-stage innovation to public-company leadership. ### AI Careers at InstaLILY URL: https://instalily.ai/careers Open roles across engineering, product, operations, sales, and design. ### Book a Demo URL: https://instalily.ai/book-a-demo Schedule a walkthrough of Lily on your workflows. ### InstaLILY Media URL: https://instalily.ai/media News, analysis, events, and press resources from InstaLILY: product announcements, The AI Dispatch, where to meet the team, and the press kit. ### InstaLILY News and Announcements URL: https://instalily.ai/news Product launches, funding, partnerships, customer stories, and company updates. ### InstaLILY Press Kit URL: https://instalily.ai/press-kit Brand assets and logos, approved boilerplate, company facts, leadership bios and headshots, press coverage, and media contact. ### Enterprise AI Events URL: https://instalily.ai/events Meet the InstaLILY team at enterprise AI events, conferences, roundtables, and product demonstrations. ### The AI Dispatch URL: https://instalily.ai/ai-dispatch Practical analysis of enterprise AI, agents, infrastructure, research, and the companies shaping the market. ### LinkedIn URL: https://instalily.ai/linkedin Follow InstaLILY on LinkedIn: product launches, customer stories, events, and life at the company. ### Security at InstaLILY URL: https://instalily.ai/security Single-tenant isolation per customer, SOC 2 Type II and HIPAA attestation, six controls on every agent action, deployment in our cloud or yours or on premises, the subprocessor list, and our European regulatory position. ### EU AI Act Overview URL: https://instalily.ai/security/eu-ai-act How InstaLILY's platform controls correspond to Regulation (EU) 2024/1689, the roles of provider and deployer, how deployments classify, and what the Digital Omnibus changed about the compliance calendar. ### GDPR and Data Processing Pack URL: https://instalily.ai/security/gdpr InstaLILY as processor: description of processing, Article 32 technical and organisational measures, subprocessors, international transfers, data subject rights, retention, and breach notification. ### Azure Marketplace Support URL: https://instalily.ai/azure-marketplace-support Support contact, hours, response time, and what to include in a request for customers evaluating, purchasing, deploying, or using InstaLILY through Microsoft Azure Marketplace. ### Google Cloud Marketplace Support URL: https://instalily.ai/gcp-support Support contact, hours, response time, and what to include in a request for customers evaluating, purchasing, deploying, or using InstaLILY through Google Cloud Marketplace. ## Research ### Enterprise AI Research URL: https://instalily.ai/research Read InstaLILY research on AI agents, enterprise memory, evaluation, reliability, and the systems required to put AI to work. ### Build the Environment, Then Optimize the Harness URL: https://instalily.ai/research/build-the-environment-optimize-the-harness How we turn real production codebases into a private, resettable evaluation environment, and then point an automated optimizer at it - a two-part InstaLILY engineering research series. ### The Engineer That Never Leaves URL: https://instalily.ai/research/the-engineer-that-never-leaves Announcing our $60 million Series B, and the belief behind it: the model is no longer the bottleneck in enterprise AI. Deployment is. Lily learns how a business works, builds the software it needs, deploys it, and stays. ## Frequently asked questions (booking a demo) ### What happens in an InstaLILY demo? A personalized walkthrough of how InstaWorkers™ automate your team's actual workflows - quoting, order management, dealer sales, dispatch - inside the systems you already use, like your CRM and ERP. We close with a discussion of your specific use cases and what an engagement would look like. ### How long does the demo take? About 30-45 minutes, including time for your questions and a look at your specific use cases. ### Is the demo free? Yes. The demo and consultation are free, with no obligation. ### What industries does InstaLILY work with? InstaLILY works across the physical goods economy: industrial and specialty distribution, manufacturing and OEM dealer networks, healthcare and pharma, field services, logistics, and private equity portfolio companies. ### How quickly can we go live? Lily embeds with your team, learns the workflow, and ships production systems that keep improving. First workflows typically go live in weeks, not months. ## Open positions - Business Development Representative (New York City · Full-time): https://job-boards.greenhouse.io/instalilyai/jobs/4356210009 - Design Engineer (New York City · Full-time): https://job-boards.greenhouse.io/instalilyai/jobs/4271810009 - Director, Office of the COO (New York City · Full-time): https://job-boards.greenhouse.io/instalilyai/jobs/4295069009 - Engineering Manager - London (London · Full-time): https://job-boards.greenhouse.io/instalilyai/jobs/4305015009 - Go-To-Market Engineer (New York City · Full-time): https://job-boards.greenhouse.io/instalilyai/jobs/4273106009 - Growth Associate (New York City · Full-time): https://job-boards.greenhouse.io/instalilyai/jobs/4367589009 - GTM-Operations Intern, Events (New York City · Internship): https://job-boards.greenhouse.io/instalilyai/jobs/4273058009 - Mid-Level Site Reliability Engineer (New York City · Full-time): https://job-boards.greenhouse.io/instalilyai/jobs/4246810009 - Revenue Operations Lead (New York City · Full-time): https://job-boards.greenhouse.io/instalilyai/jobs/4402415009 - Software Engineer, Full Stack (New York City, San Francisco · Full-time): https://job-boards.greenhouse.io/instalilyai/jobs/4261595009 - Software Engineer I, General (New York City, San Francisco · Full-time): https://job-boards.greenhouse.io/instalilyai/jobs/4271757009 - Software Engineer II, General (New York City, San Francisco · Full-time): https://job-boards.greenhouse.io/instalilyai/jobs/4296649009 - Software Engineer II - Toronto (Toronto · Full-time): https://job-boards.greenhouse.io/instalilyai/jobs/4271723009 - Software Engineer I, Toronto Co-op (Toronto · Full-time): https://job-boards.greenhouse.io/instalilyai/jobs/4342089009 - Strategic Associate (New York City, San Francisco · Full-time): https://job-boards.greenhouse.io/instalilyai/jobs/4336961009 - Strategic Partner (New York City, San Francisco · Full-time): https://job-boards.greenhouse.io/instalilyai/jobs/4273002009 - VP, Customer Success (New York City · Full-time): https://job-boards.greenhouse.io/instalilyai/jobs/4330610009 ## News ### Celebrating Our $60 Million Series B (2026-08-17) URL: https://instalily.ai/news/seriesb-celebration Last week, InstaLILY AI celebrated the close of our $60 million Series B and the launch of Lily™, the first AI forward deployed engineer, alongside the team, investors, and clients who made it possible. ### InstaLILY Names Adam Isenberg Head of Distribution (2026-08-06) URL: https://instalily.ai/news/welcome-adam-isenberg Adam brings more than 14 years serving wholesale distribution, most recently at the National Association of Wholesaler-Distributors, to lead InstaLILY's work with distributors and manufacturers. ### From SF to London to NYC: Our Run Club Finds Its Stride (2026-07-14) URL: https://instalily.ai/news/ai-operator-run-club What began for us as a must-need morning run in San Francisco has become a three-city ritual - bringing AI operators, founders, and engineers together over miles logged and ideas exchanged. ### Inside Our Mission Rock Innovation Session with Hilti and Google DeepMind (2026-07-08) URL: https://instalily.ai/news/innovation-session-sf We brought together leaders from Google DeepMind, Hilti Group, ShipStation Global, Parts Town, and Applicate Commerce at our San Francisco office to talk about where AI is headed in the physical goods economy, and what it takes to move beyond experimentation. ### Women in AI Closes Out New York Tech Week (2026-06-06) URL: https://instalily.ai/news/women-in-ai-nyc-tech-week-2026 More than 600 founders, operators, and investors gathered at the Chief Clubhouse for one of the biggest Women in AI event of the season. ### Rare Connections: The Healthcare AI Innovation Summit with Kedrion (2026-06-04) URL: https://instalily.ai/news/kedrion-x-instalily-summit-2026 During New York Tech Week, InstaLILY AI and Kedrion Biopharma brought 100+ healthcare, AI, and investment leaders to the SoHo office to answer one question: where does AI move the needle for patients today? ### Creating Operating Leverage with AI: Our Panel at Boston Tech Week (2026-05-29) URL: https://instalily.ai/news/boston-tech-week-2026 At Boston's Tech Week 2026, InstaLILY AI hosted an exclusive panel and mixer for the private-equity community on turning AI into real operating leverage across portfolio companies. ### InstaLILY Launches the Small Data Center, Extending Autonomous AI to the Physical Economy (2026-05-28) URL: https://instalily.ai/news/small-data-center First unveiled on stage at Y Combinator x Google DeepMind Startups Day, the Small Data Center brings always-on, autonomous AI to where the work truthfully happens. Learn more at sdc.instalily.ai. ### Building AI for Enterprise: A Fireside with Google at Toronto Tech Week (2026-05-26) URL: https://instalily.ai/news/toronto-tech-week-2026 We opened Toronto Tech Week alongside Google for Startups: a fireside between CEO Amit Shah and Google's Naveen Nigam, and drew 600+ signups on day one. ### InstaLILY Takes the Stage at Y Combinator x Google DeepMind Startups Day (2026-04-24) URL: https://instalily.ai/news/y-combinator-x-google-deepmind Co-founders Amit Shah and Sumantro Das took the stage alongside Demis Hassabis and Garry Tan to unveil the Small Data Center. ### InstaLILY AI Opens San Francisco Office (2026-03-09) URL: https://instalily.ai/news/sf-office-opening From New York to the Bay: InstaLILY AI marks a new chapter with the launch party of its Mission Rock office, and a night that set the tone for what's ahead. ### Cultural Fluency Summit 2025: Agentic AI Is Closing the Culture Loop (2025-11-07) URL: https://instalily.ai/news/cultural-fluency-summit-2025 At the Cultural Fluency Summit hosted by Collage Group and SiriusXM, InstaLILY AI’s Amit Shah explored how agentic systems are closing the loop between culture and its creators, transforming authenticity from messaging to mechanism design. ### How SRS Distribution and InstaLILY Prove Leadership Drives Adoption (2025-10-21) URL: https://instalily.ai/news/srs-instalily-leadership-drives-adoption SRS Distribution's partnership with InstaLILY has turned into an industry-wide learning platform, proving that collaboration is driving the next phase of growth. ### NACD Directors Summit 2025™: Governing the Autonomous Enterprise (2025-10-20) URL: https://instalily.ai/news/nacd-directors-summit-2025 At this year’s NACD Directors Summit™, one theme rose above all others: boards are no longer governing systems that inform humans - they are now governing systems that act. In the featured session, AI Agents and the Enterprise: What Every Board Member Needs to Know, InstaLILY CEO Amit Shah explained how autonomous AI agents are reshaping operations, accountability, and board oversight. ### InstaLILY Launches AI Agents on Google Cloud Marketplace (2025-10-20) URL: https://instalily.ai/news/ai-agents-google-cloud-marketplace After graduating from the Google Cloud ISV Startup Springboard program, InstaWorkers™ are now available on Google Cloud Marketplace. ### InstaLILY Selected for Inaugural Google for Startups Gemini Founders Forum (2025-10-17) URL: https://instalily.ai/news/gemini-founders-forum Google chose 53 startups to shape the future of AI. InstaLILY AI is one of them. ### Women In AI Breakfast & Coffee at SF Tech Week 2025 (2025-10-17) URL: https://instalily.ai/news/women-in-ai-2025-sf InstaLILY was proud to host the Women in AI Breakfast & Coffee during SF Tech Week 2025. ### InstaLILY Raises $25M to Bring AI Teammates to the Frontlines of Distribution (2025-09-02) URL: https://instalily.ai/news/instalily-series-a-funding Vertical AI platform deploys domain-trained agents, called InstaWorkers™ to automate sales, service, and operations across industries that rely on complex distribution. ### Women In AI Breakfast & Coffee at NY Tech Week 2025 (2025-06-06) URL: https://instalily.ai/news/women-in-ai-2025-ny InstaLILY was thrilled to host Women In AI Breakfast & Coffee at NY Tech Week ### Women In AI Breakfast & Coffee at SF Tech Week (2024-11-08) URL: https://instalily.ai/news/women-in-ai-2024-sf InstaLILY was thrilled to host Women In AI Breakfast & Coffee at SF Tech Week ### Women In AI Breakfast & Coffee at NY Tech Week (2024-06-07) URL: https://instalily.ai/news/women-in-ai-2024 InstaLILY was thrilled to host Women In AI Breakfast & Coffee on Friday, June 7th! ### InstaLILY Office Opening (2023-08-28) URL: https://instalily.ai/news/instalily-office-opening The company celebrates on the rooftop of their new SoHo office. For a shorter index of this site, see https://instalily.ai/llms.txt