# InstaLILY

> Lily learns how your business works, builds the software the work needs, and runs it across the systems and agents you already use.

Generated: 2026-10-21T19:57:47.353Z

InstaLILY (instalily.ai) builds Lily, the AI Forward Deployed Engineer for the physical and regulated economy: distribution, manufacturing, healthcare and pharma, field services, logistics, and private equity portfolio companies. Lily embeds with a customer's team, learns the workflow, and ships production systems inside the customer's existing stack (CRM, ERP, data warehouse).

## Product

- [InstaLILY Products](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](https://instalily.ai/lily) | [Markdown](https://instalily.ai/lily.md): 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](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](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](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](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](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](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](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](https://instalily.ai/solutions): Explore how Lily puts AI to work across industrial distribution, manufacturing, automotive, field service, supply chain and logistics, healthcare, pharma, and private equity.
- [AI for Industrial Distribution and MRO](https://instalily.ai/solutions/mro) | [Markdown](https://instalily.ai/solutions/mro.md): 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](https://instalily.ai/solutions/oem) | [Markdown](https://instalily.ai/solutions/oem.md): 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](https://instalily.ai/solutions/automotive) | [Markdown](https://instalily.ai/solutions/automotive.md): 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 Scheduling and Technicians](https://instalily.ai/solutions/field-service) | [Markdown](https://instalily.ai/solutions/field-service.md): 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](https://instalily.ai/solutions/supply-chain-logistics) | [Markdown](https://instalily.ai/solutions/supply-chain-logistics.md): Lily is a forward deployed engineer for shippers and logistics providers. She builds the software that runs quote-to-cash inside the TMS and ERP you already have, including on-premise and legacy.
- [AI for Healthcare and Pharma Operations](https://instalily.ai/solutions/pharma) | [Markdown](https://instalily.ai/solutions/pharma.md): Unify commercial, access, pricing, and patient-support work across healthcare and pharma systems with secure, auditable AI from InstaLILY.
- [Private Equity](https://instalily.ai/solutions/private-equity) | [Markdown](https://instalily.ai/solutions/private-equity.md): We regularly deliver 20X ROI for PE portcos. AI agentic workflows for the physical economy. InstaLILY works alongside and directly with PE companies across their portfolio companies.

## Case studies

Twelve customer deployments, described rather than named at the customers' request: https://instalily.ai/case-studies

- [How fast does a distributor have to answer a quote to win?](https://instalily.ai/case-studies/quoting-speed) | [Markdown](https://instalily.ai/case-studies/quoting-speed.md): 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. (Measured: 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.)
- [What do misrouted support emails actually cost in first response time?](https://instalily.ai/case-studies/misrouting-cost) | [Markdown](https://instalily.ai/case-studies/misrouting-cost.md): 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. (Measured: 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.)
- [Reasons why field technicians make a second trip, and how to stop it?](https://instalily.ai/case-studies/costly-second-trips) | [Markdown](https://instalily.ai/case-studies/costly-second-trips.md): 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. (Measured: 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.)
- [What is it worth when senior sales reps finally adopt the tool?](https://instalily.ai/case-studies/tool-adoption) | [Markdown](https://instalily.ai/case-studies/tool-adoption.md): 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. (Measured: 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.)
- [Can one AI deployment serve technicians, branch managers, sales reps and customers at once?](https://instalily.ai/case-studies/multiplayer-ai) | [Markdown](https://instalily.ai/case-studies/multiplayer-ai.md): 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. (Measured: 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.)
- [How do you coach a hundred field sales reps when ride-alongs don't scale?](https://instalily.ai/case-studies/coaching-reps) | [Markdown](https://instalily.ai/case-studies/coaching-reps.md): 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. (Measured: 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.)
- [Why do pharma reps ignore CRM targeting lists, and what changes that?](https://instalily.ai/case-studies/target-lists) | [Markdown](https://instalily.ai/case-studies/target-lists.md): 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. (Measured: 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.)
- [Why build prescriptive alerts instead of another dashboard?](https://instalily.ai/case-studies/alerts-win) | [Markdown](https://instalily.ai/case-studies/alerts-win.md): 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. (Measured: 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.)
- [What happens when a sales team that has never used a CRM gets one that logs itself?](https://instalily.ai/case-studies/data-entry-is-dead) | [Markdown](https://instalily.ai/case-studies/data-entry-is-dead.md): 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. (Measured: First eight weeks after launch, mid-June to mid-August 2026, against a pre-launch baseline of effectively zero CRM usage.)
- [How do you measure an AI sales lift honestly when the market is also moving?](https://instalily.ai/case-studies/measurability) | [Markdown](https://instalily.ai/case-studies/measurability.md): 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. (Measured: 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.)
- [How long does it take to build a monthly staffing schedule for an urgent care clinic?](https://instalily.ai/case-studies/staff-scheduling) | [Markdown](https://instalily.ai/case-studies/staff-scheduling.md): 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. (Measured: 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.)
- [Can AI agents run inside our own cloud, under our own security controls?](https://instalily.ai/case-studies/get-on-my-cloud) | [Markdown](https://instalily.ai/case-studies/get-on-my-cloud.md): 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. (Measured: Deployment architecture and security governance, 2026. Outcome figures withheld.)

## Company

- [Why InstaLILY](https://instalily.ai/why-instalily): Anyone can build an agent. InstaLILY builds the production system that runs your business: Lily learns how your company works, runs the work, and gets better every day.
- [Forward Deployed Engineering for Enterprise AI](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](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](https://instalily.ai/team): The engineers, operators, and researchers building Lily and the enterprise AI systems behind InstaLILY.
- [Amit Shah - Founder & CEO](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](https://instalily.ai/careers): Open roles across engineering, product, operations, sales, and design.
- [Book a Demo](https://instalily.ai/book-a-demo): Schedule a walkthrough of Lily on your workflows.
- [InstaLILY Media](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](https://instalily.ai/news): Product launches, funding, partnerships, customer stories, and company updates.
- [InstaLILY Press Kit](https://instalily.ai/press-kit): Brand assets and logos, approved boilerplate, company facts, leadership bios and headshots, press coverage, and media contact.
- [InstaLILY Company Facts](https://instalily.ai/company-facts): Canonical company facts: legal entity, funding, investors, leadership, locations, products, and industries served.
- [Enterprise AI Events](https://instalily.ai/events): Meet the InstaLILY team at enterprise AI events, conferences, roundtables, and product demonstrations.
- [The AI Dispatch](https://instalily.ai/ai-dispatch): Practical analysis of enterprise AI, agents, infrastructure, research, and the companies shaping the market.
- [LinkedIn](https://instalily.ai/linkedin): Follow InstaLILY on LinkedIn: product launches, customer stories, events, and life at the company.
- [Security at InstaLILY](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](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](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](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](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](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](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](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.

## Recent news

- [Celebrating Our $60 Million Series B](https://instalily.ai/news/seriesb-celebration) (2026-08-17): 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](https://instalily.ai/news/welcome-adam-isenberg) (2026-08-06): 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](https://instalily.ai/news/ai-operator-run-club) (2026-07-14): 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](https://instalily.ai/news/innovation-session-sf) (2026-07-08): 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](https://instalily.ai/news/women-in-ai-nyc-tech-week-2026) (2026-06-06): 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](https://instalily.ai/news/kedrion-x-instalily-summit-2026) (2026-06-04): 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](https://instalily.ai/news/boston-tech-week-2026) (2026-05-29): 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](https://instalily.ai/news/small-data-center) (2026-05-28): 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](https://instalily.ai/news/toronto-tech-week-2026) (2026-05-26): 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](https://instalily.ai/news/y-combinator-x-google-deepmind) (2026-04-24): Co-founders Amit Shah and Sumantro Das took the stage alongside Demis Hassabis and Garry Tan to unveil the Small Data Center.

## Open positions

- [Associate Videographer](https://job-boards.greenhouse.io/instalilyai/jobs/4423161009) (New York City · Full-time)
- [Business Development Representative](https://job-boards.greenhouse.io/instalilyai/jobs/4356210009) (New York City · Full-time)
- [Deal Desk Lead (SOWs, MSAs, DPAs)](https://job-boards.greenhouse.io/instalilyai/jobs/4423331009) (New York City · Full-time)
- [Design Engineer](https://job-boards.greenhouse.io/instalilyai/jobs/4271810009) (New York City · Full-time)
- [Director, Office of the CEO](https://job-boards.greenhouse.io/instalilyai/jobs/4295069009) (New York City · Full-time)
- [Director, Security Engineering](https://job-boards.greenhouse.io/instalilyai/jobs/4432204009) (New York City · Full-time)
- [Executive Assistant, Founders’ Office](https://job-boards.greenhouse.io/instalilyai/jobs/4453334009) (New York City · Full-time)
- [Growth Associate](https://job-boards.greenhouse.io/instalilyai/jobs/4367589009) (New York City · Full-time)
- [Head of Product Marketing](https://job-boards.greenhouse.io/instalilyai/jobs/4423126009) (New York City · Full-time)
- [Mid-Level Site Reliability Engineer](https://job-boards.greenhouse.io/instalilyai/jobs/4246810009) (New York City, San Francisco · Full-time)
- [Recruiter, Sales](https://job-boards.greenhouse.io/instalilyai/jobs/4403400009) (New York City · Full-time)
- [Revenue Operations Lead](https://job-boards.greenhouse.io/instalilyai/jobs/4402415009) (New York City · Full-time)
- [Senior Brand Writer](https://job-boards.greenhouse.io/instalilyai/jobs/4273054009) (New York City · Full-time)
- [Senior Event Manager](https://job-boards.greenhouse.io/instalilyai/jobs/4423151009) (New York City · Full-time)
- [Software Engineer, Full Stack](https://job-boards.greenhouse.io/instalilyai/jobs/4261595009) (New York City, San Francisco · Full-time)
- [Software Engineer, General - London](https://job-boards.greenhouse.io/instalilyai/jobs/4264790009) (London · Full-time)
- [Software Engineer I, General](https://job-boards.greenhouse.io/instalilyai/jobs/4271757009) (New York City, San Francisco · Full-time)
- [Software Engineer II, General](https://job-boards.greenhouse.io/instalilyai/jobs/4296649009) (New York City, San Francisco · Full-time)
- [Software Engineer II - Toronto](https://job-boards.greenhouse.io/instalilyai/jobs/4271723009) (Toronto · Full-time)
- [Software Engineer I, Toronto Co-op](https://job-boards.greenhouse.io/instalilyai/jobs/4342089009) (Toronto · Full-time)
- [Strategic Associate](https://job-boards.greenhouse.io/instalilyai/jobs/4336961009) (New York City, San Francisco · Full-time)
- [Strategic Partner](https://job-boards.greenhouse.io/instalilyai/jobs/4273002009) (New York City, San Francisco · Full-time)
- [VP, Customer Success](https://job-boards.greenhouse.io/instalilyai/jobs/4330610009) (New York City · Full-time)

## Machine-readable resources

- [Full site content in markdown](https://instalily.ai/llms-full.txt)
- [Sitemap](https://instalily.ai/sitemap.xml)