# machine61 – Full Context > Engineering and strategic advisory delivering mission-critical data, machine learning, AI, quantum computing, and embedded systems for defense, insurance, legal, and manufacturing. Last updated: 2026-02-05T15:00:00+00:00 --- ## About machine61 LLC is a veteran-owned engineering and strategic advisory firm based in and around the greater New York City metro area. We build and deploy next-generation systems at any scale, including petabyte and exabyte data platforms, machine learning and AI business systems, and embedded devices and software running in austere, hostile environments. We work with organizations where failure isn't an option. We are engineers, architects, and operators who build and deploy mission-critical systems at any scale. From petabyte and exabyte data platforms to embedded devices running in austere, hostile environments, and the claims management system running on your desktop, we deliver solutions that work when failure just isn't an option. Our team brings decades of advisory and engineering experience across defense, insurance, legal, and manufacturing - building systems for organizations that demand predictable results, unquestioned reliability and seamless usability. --- ## What We Do ### Data & AI Enterprise-scale data architecture, integration, machine learning, analytics, and AI implementation. AI readiness and/or adoption assessments. Petabyte and exabyte data systems. Data strategy, data quality, and data products. Data warehousing. ### Quantum Computing Quantum readiness and/or adoption assessments, post-quantum cryptography migration, signal processing, and early adoption strategies for defense and commercial applications. ### Embedded & IoT Real-time embedded software and firmware, safety-critical systems (DO-178C, MIL-STD), low-power devices for austere environments. ### Robotics & Autonomous Systems Swarm coordination, unmanned platforms, human-machine teaming, edge AI. ## What We Don't Do - Staff augmentation or body shop models - Generic IT support or helpdesk services - Basic web development or marketing sites - Wordpress, Shopify, Drupal, or Ruby on Rails - SEO - Recruiting or headhunting --- ## What We Deliver 1. **Senior, successful, fractional CxO services,** on demand for all size firms. 2. **ROI-focused, compliance-ready:** data, ML, AI, and quantum **strategy, governance, roadmaps,** and **assessments.** 3. **Bulletproof real-time data, machine learning, AI, devices, robotics, and quantum computing.** 4. **Petabyte, exabyte, web, and enterprise scale data, analytics, machine learning, and AI** for α, β, proof-of-concept, pilot, and production systems. 5. **Real-time, high-reliability cloud-based and embedded kernel, and IoT** for low-power, austere environments and remote devices. --- ## How We Work – Principles ### 01. SMEs First Every project is overseen by an industry subject matter expert whose business is your business. ### 02. Engineering Always We are builders. Every engagement is grounded in hands-on technical expertise and production-grade delivery. ### 03. Mission Critical Design We design for environments where failure has consequences. Reliability, security, and performance are non-negotiable. ### 04. Operator Mindset We build systems we'd run ourselves. Reliability, long-term maintainability and operational clarity guide every decision. ### 05. Affordability Built In We design every solution with lifetime affordability as a key goal and extensibility as a requirement. ### 06. No Lock In Our open data architectures make getting your data out to other systems, to business partners, to regulatory bodies, or ready for migration, easy. --- ## Assessments Structured assessments with standardized deliverables. Big consulting rigor. Startup speed. Available at https://www.machine61.net/assessments.html ### 01. Combined Strategy, Data, AI, and New Technologies Assessment The comprehensive assessment for organizations ready to transform. Evaluates business strategy, innovation portfolio, data foundations, machine learning and AI readiness, automation opportunities, and emerging technologies like quantum computing—separating what's real now from what's worth watching. **Includes:** Business strategy alignment, innovation portfolio review, data foundation assessment, AI & ML readiness, automation opportunities, emerging tech horizon (with honest timing guidance), high-value use case discovery, PoC & solution roadmap. ### 02. Data and AI Assessment Focused assessment for organizations that need to strengthen their data foundations and accelerate AI adoption. **Includes:** Data strategy review, data quality & governance, AI & ML readiness, automation analysis, high-value use case discovery, PoC & solution roadmap. ### 03. Current State Assessment Documents current processes, systems, and capabilities to establish a clear baseline for future decisions. **Includes:** Process documentation, systems inventory, capability assessment, gap analysis. ### Deliverables (All Assessments) - Standardized scorecards (PDF) - Executive brief (PDF) - Full report (PDF) - Visual deck (PDF) --- ## Industries ### Defense **Philosophy:** In defense, "down for maintenance" isn't an answer. Systems either work, every time, under any conditions, or bad things happen. We build systems that work when nothing else does. #### Data Strategy & Integration Defense data lives in silos by design: classification levels, coalition boundaries, air-gapped networks. But mission success depends on securely getting the right data to the right people at the right time. We build data strategies where integration means knowing exactly what moves where and when. Cross-domain architectures. Secure data fusion. Tactical edge to strategic center. #### Austere & Denied Environments Systems that maintain full capability when GPS is jammed, comms are down, power is scarce, and it's 140°F or -40°F. We build for disconnected operations: edge computing that works without reach-back, store-and-forward architectures, and graceful degradation when infrastructure fails. Our systems run on milliwatts when they need to and survive conditions designed to destroy them. #### Real-Time Embedded Systems Firmware and software for platforms where latency is measured in microseconds and failure modes must be anticipated years in advance. We work across the full embedded stack: RTOS, bare-metal, safety-critical systems that meet DO-178C and MIL-STD requirements. Deterministic performance. Formally verified when the mission demands it. #### Secure Data Architectures Data platforms for classified environments, air-gapped networks, and multi-level security requirements. Cross-domain solutions that move data between security levels without compromising either. Zero trust architectures that assume the network is hostile. Data protected at rest, in transit, and in use. #### Quantum Readiness Signal processing, cryptographic resilience, and early adoption strategies for threats that don't exist yet. We help organizations assess quantum risk, build migration roadmaps to post-quantum cryptography, and identify early applications where quantum provides tactical advantage. The transition takes years. We help you start now. #### Autonomous Systems & Robotics Swarm coordination, unmanned platforms, and human-machine teaming. Edge AI that makes decisions without connectivity. Sensor fusion across multiple modalities. Integration with existing C2 systems. We build the intelligence layer that makes autonomous systems not just operational, but trusted. --- ### Insurance **Philosophy:** In insurance, every policy is a promise. Every claim is a test of that promise. Legacy systems, manual processes, and fragmented data make keeping that promise harder than it needs to be. We unify the data, streamline the processes, and bring intelligence to the systems, so insurers can keep that promise. #### Data Strategy & Integration Decades of M&A, legacy systems, and siloed departments leave most insurers with data scattered across policy admin, claims, billing, CRM, and actuarial systems that don't talk to each other. We build the data strategy that prioritizes what matters and the integration architecture that makes it real. Master data management. Data quality frameworks. Data governance. A single source of truth for customer, policy, and claims data. The foundation everything else runs on. #### Underwriting & Risk Assessment AI analyzes hundreds of risk factors, traditional and alternative data, for pricing that actually reflects risk. Eliminate adverse selection. Identify profitable micro-segments competitors misprice. Instant quotes instead of ~2-3 day turnarounds. Expand into complex risks others avoid because you can price them accurately. #### Claims Processing & Automation AI processes routine claims in minutes, not days. Zero human touch for straightforward auto and property claims. 24/7 processing, same-day settlement on simple claims. Your adjusters focus on complex cases that need human judgment while the system handles volume. #### Fraud Detection & Prevention Pattern analysis across millions of claims catches fraud that humans miss. Not just flagging obvious red flags, but identifying sophisticated schemes through network analysis and behavioral anomalies. Lower loss ratios. Aggressive pricing enabled by tighter controls. A reputation as too smart to defraud. #### Document Intelligence & Processing Coverage verification that catches gaps before they become E&O claims. Policy change documentation with court-admissible audit trails. Quote-to-bind validation that ensures bound policies match quoted terms exactly. Every transaction documented, every notification confirmed. #### Customer Experience & Service Predict which customers will leave and why, before they do. Chatbots handle routine inquiries so your people handle relationships. Proactive retention. Personalized coverage recommendations. Customers stay longer because you actually know them. #### Regulatory Compliance & Reporting Real-time monitoring of client communications for incorrect advice or promises beyond authority. Automated compliant notifications. Defensible records for every interaction. Expand into complex advisory work without E&O fear. --- ### Legal **Philosophy:** In legal, time is the product. Every hour spent on document review, research, or administrative tasks is an hour not spent on strategy, advocacy, or client relationships. AI doesn't replace lawyers. It lets them practice law. #### Data Strategy & Integration Law firms sit on decades of institutional knowledge trapped in document management systems, case databases, billing platforms, and partner emails that never connect. We build the data strategy that unlocks it and the integration architecture that makes it actionable. Unified matter data across practice groups. Knowledge management that surfaces relevant precedents automatically. Client intelligence that spans every engagement. The foundation that turns accumulated experience into competitive advantage. #### Document Review & eDiscovery AI reviews documents at ~1,000+ pages per hour with ~95%+ accuracy. Associates review ~50 pages per hour. A 100,000-page discovery that takes a team weeks gets done in days. Your attorneys handle depositions and strategy while the system flags privileged documents, key admissions, and contract breaches. Discovery time becomes predictable. Fixed-fee discovery becomes profitable instead of a loss leader. #### Contract Analysis & Due Diligence Extract key terms, flag risks, compare to standards in minutes. M&A due diligence that took associates ~200 hours takes ~2 hours with attorney review. Fixed-fee pricing on due diligence that competitors can't match. Same-day contract analysis. Handle ~3x the deal volume. #### Legal Research Case law, statutes, and regulations searched in seconds with relevance ranking. The system surfaces controlling authority, identifies circuit splits, and flags superseded precedents. Associates spending ~30% of billable time on research become ~50% more productive; a motion that took 8 hours of research gets done in 4. Junior attorneys perform like mid-levels because they're working with comprehensive results instead of hoping they found everything. Win clients who need BigLaw quality at rates they can afford. #### Client Communication & Workflow Automated intake, scheduling, status updates, and basic client questions. New leads get immediate responses at 2 AM instead of waiting until Monday. A 24/7 client portal shows case status, upcoming deadlines, and recent filings, cutting "where's my case?" calls by half. The system flags approaching statutes of limitations, reminds clients about missing documents, and schedules follow-ups automatically. Proactive case management instead of reactive firefighting. Handle ~30% more clients with the same staff because your paralegals aren't playing phone tag. #### IP Claims Drafting The system parses technical specifications, identifies novel elements, and drafts claims across multiple dependency chains, from broadest reasonable scope down to narrow fallback positions. It cross-references prior art to avoid obvious 102/103 issues before you file. ~10 hours of drafting becomes ~3 hours of attorney review. Claim language stays consistent across families and continuations, reducing examiner rejections by ~25%. Quote lower prosecution budgets and still make margin. #### Prior Art Search & Analysis Comprehensive prior art searches across patents, publications, foreign filings, and non-patent literature, ranked by claim element relevance. The system maps each limitation against potential references and flags your most vulnerable elements. ~8 hours of searching becomes ~2 hours of reviewing AI-ranked results. Deliver same-day patentability opinions instead of asking clients to wait a week. Better up-front analysis means fewer surprises during prosecution, improving overall success by ~20%. --- ### Manufacturing **Philosophy:** In manufacturing, the gap between what your systems know and what your people know is where margin dies. Data trapped in spreadsheets, PLCs that don't talk to your ERP, tribal knowledge that walks out the door at shift change. We connect the shop floor to the C-suite. #### Data Strategy & Integration Manufacturing data and metrics live everywhere but connect nowhere. Production metrics in spreadsheets, quality data in standalone databases, maintenance logs in paper binders, PLCs that don't talk to your ERP, MES systems siloed from everything else. We build the data strategy that prioritizes what drives margin and the integration architecture that connects OT and IT. Real-time visibility from PLC to executive dashboard. A single source of truth for production, quality, and inventory. The foundation that turns data and metrics into decisions. #### Quality & Defect Prevention Analyze real-time sensor data from PLCs, SCADA, and vision systems to predict defects before they occur. Catch problems at the earliest production stage, not at final inspection. Reduce defect escape rates by ~60-80%. Cut warranty claims and rework costs. Improve yield from ~75-85% to ~88-95%. #### Root Cause Analysis Analyze production data, maintenance logs, quality records, and operator notes to identify root causes of defects and downtime. Reduce time to identify issues from ~2-3 weeks to ~2-3 days. Pattern analysis across thousands of NCRs to find systemic problems. Reduce recurring issues by ~40-60%. #### Predictive Maintenance Monitor equipment sensor data to predict failures ~2-4 weeks in advance. Reduce unplanned downtime by ~40-60%. Extend equipment life by ~15-25%. Use ML to identify optimal machine settings from historical data. Improve first-pass yield by ~8-15%. #### Production Planning & Optimization Analyze real-time machine capacity, material availability, and order priorities to generate optimal schedules. Increase throughput by ~12-18% without capital investment. Improve on-time delivery from ~70-80% to ~88-95%. Reduce late delivery penalties. #### Supply Chain & Compliance The system analyzes your full bill of materials to identify standardization opportunities and flag obsolescence risks. It finds where three similar fasteners can become one, where a component is single-sourced from a risky supplier, and where parts are approaching end-of-life. Most manufacturers reduce unique part count by ~20-30%, simplifying procurement and cutting inventory costs. On the compliance side, the system checks your documentation against ISO, AS9100, FDA, and other frameworks automatically. Your team spends ~75-85% less time on compliance review and catches ~95%+ of issues before the external auditor arrives. --- ## Thought Leadership ### Innovation - Innovation Series, Part 1: What Is a Chief Innovation Officer, and Why Might You Need One? - Innovation Series, Part 2: So You Want to Be a Chief Innovation Officer? - Innovation Series, Part 3: Your First 90 Days as Chief Innovation Officer - Innovation Series, Part 4: Building and Managing the Innovation Portfolio ### Artificial Intelligence - What is a Chief AI Officer and Why Do You Need One? - The Fractional CAIO: Senior AI Leadership Without the Full-Time Price Tag - AI Readiness Assessment and Strategic Roadmapping for Insurance / Reinsurance Companies - AI in the Legal Industry: A Practical Guide to Current Solutions and Real-World Applications - AI Doesn't Replace Lawyers. It Lets Them Practice Law. - AI Underwriting & Risk Assessment: From Days to Seconds - Underwriting Acceleration for Life Insurance - AI and the Future of Claims Management - AI and the Future of Fraud Detection in Insurance - AI, Customer Experience & Service for Insurance Companies - Regulatory Compliance and Reporting for Insurance, Error and Omissions - Document Intelligence & Processing for Insurance - Law Firms and AI: Contract Analysis & Due Diligence - AI for Document Review & eDiscovery ### Data Strategy - How to Build a Data Strategy - How to Build a Data Strategy: Insurance Companies - How to Build a Data Strategy: Law Firms - How to Build a Data Strategy: Manufacturing - Data Strategy & Integration and Data Mesh: Part I, Defense - Data Strategy & Integration and Data Mesh: Part II, Insurance - Data Strategy & Integration and Data Mesh: Part III, Legal Firms - Data Strategy & Integration and Data Mesh: Part IV, Manufacturing - Data Products: The Foundation of Effective AI in Insurance - Data Products in Insurance and Reinsurance: A Practical Guide - Building a Data Product Practice: A Practical Roadmap ### Quantum Computing - The Quantum Hardware Landscape: Superconducting, Trapped Ion, Photonic, and Beyond - How Do Quantum Annealers Work and What Are They Good For? - How to Formulate Business Problems as QUBOs: A Developer's Guide - Your First Quantum Program: Gate-Based Quantum Computing on Azure with Python - Fluxonium and D-Wave's On-Chip Cryogenic Control Breakthrough - Qubits, Qudits, and more [Primer] - Quantum: Basics to Practical Applications – Quantum Entanglement (1) [Primer] - Quantum: Basics to Practical Applications – Quantum Superposition (2) [Primer] - Quicktake: Quantum Circuits [Primer] - What is Quantum Machine Learning - How Do We Trust Quantum Computers If We Can't Verify Their Impossibly-Hard-to-Compute Answers? - Quantum Computing Applications in Signal Processing for Defense ### Defense Technology - Building Bulletproof Real-time Data, Machine Learning, AI, Devices, Robotics, and Quantum Computing Solutions - Engineering [data] at Impossible Scale - Operating at the Edge of Possibility - Secure Data Architectures for Defense Applications - Defense Focus: Kill Chain Engineering (1) - Defense Focus: Kill Chain Engineering (2): Enter the Killer Robots - Defense Focus: Kill Chain Engineering (3): Swarms and Swarming Technology - Defense Focus: Kill Chain Engineering (4): Swarming Technologies and Platforms ### Business, World & Military Strategy - If You Can See It, They Want You to See It, Maybe. - The Circle Without the Shield [Thoughts on Arctic Strategy] - The 200:1 Problem, Chinese Manufacturing and Naval Ascendancy, and Why the Chinese love Ronald Reagan --- ## Team ### Sal Magnone – Co-founder, Senior Advisor Sal's LinkedIn reads: "Co-Founder, Engineer, Veteran. I build multinational technology companies and run obstacle courses." That about covers it. He co-founded two successful technology companies, one around machine learning in the insurance space, one around embedded, real-time software in defense, and maybe one or two that weren't so successful. When he isn't running obstacle courses, he teaches business and military strategy at the university level, speaks at DARPA events, and keeps the rest of us from playing with matches near the solid fuel rockets. **Background:** 30+ years engineering experience. Former PwC, Sia Partners, Gigaspaces, US Army. **Links:** https://www.linkedin.com/in/salmagnone/ | https://substack.com/@salexmachina ### Meiling Zhang – Co-founder, Senior Advisor Mei is the kind of engineer that senior engineers ask for advice. Her workspace is perpetually covered in small parts, some burnt, and smells of solder. She once tried to move us to a hangar because our office lease precluded welding. She co-founded her last two successful companies with Sal. Outside the lab, she's an elite CrossFitter and obstacle course runner. Mei is currently the founder of a stealthy but ridiculously well-funded quantum computing company focused on signal processing in the defense space, and our Quantum SME. **Background:** Former IBM, Angry Robot Labs, lab347. **Links:** https://www.linkedin.com/in/zhangexmachina/ | https://zhangexmachina.substack.com/ ### Nicole Tedesco – Robotics SME Few people know more about designing, building, and deploying robotic and device technology than Nicole. She's been at it most of her career. At ARCA she defined and implemented a "robotics as a service" business model and the enabling technologies behind it. At CalvIO she developed the business and technical model to reduce robotic manufacturing complexity, eliminating 50% of software-related costs and reducing time-to-delivery by 80%. At the legendary Boeing Phantom Works she built things she can't tell us about outside "the cone of silence". Yes, she really wears those glasses. **Background:** Former ARCA, Microsoft, Boeing Phantom Works. ### Alex Cone – Mobile Applications SME Alex is a rocket scientist. No, really, he worked on the Space Shuttle program. That was before he joined Steve Jobs at NeXT (he's very proud of still having two working units) and then followed Steve back to Apple, where Alex helped build the iTunes Store. Alex speaks at international conferences and technology summits on enterprise mobile development and security, considers himself an alpha-geek, and is our mobile SME. **Background:** Former NASA (Space Shuttle program), NeXT, Apple (iTunes Store). ### Matt Weinstein – High-Performance Computing SME Despite any 8-bit resemblance, Pitfall Harry was not based on Matt. He was, however, Director of Technology at Activision back in their MechWarrior, Warcraft, and Hexen days. After Activision, Matt moved on to [x+1] (now Rocket Fuel) where he built their media-buying platform at Big Data scale. More recently, he's been at Ab Initio, where he dealt with very high-performance, low-latency, distributed systems. If it's fast, reliable, and distributed, Matt can build it. He is our High-Performance Computing SME. **Background:** Former Ab Initio, Activision, [x+1]. --- ## Clients ### Fincantieri One of the world's largest shipbuilding groups, designing and building cruise ships, naval vessels, and offshore platforms. **Tags:** defense, embedded software, embedded firmware ### AIG AIG is a leading global insurance organization. AIG provides insurance solutions that help businesses and individuals in approximately 190 countries. **Tags:** insurance, underwriting, machine learning (NLP, image recognition), workflow ### Voya Financial Leading provider of retirement plans, investment management, and employee benefits serving millions of Americans. **Tags:** finance, insurance, enterprise data, mainframe ### Valley Bank Regional bank providing commercial and retail banking services across the Northeast and Mid-Atlantic. **Tags:** banking, MDM, data quality, data mapping, mainframe ### SS&C Intralinks SS&C Intralinks pioneered the virtual data room and is a key technology and services provider to the global banking, dealmaking, alternative investments and capital markets. **Tags:** pharma, big data, analytics ### Invidi Technologies Pioneer in addressable advertising technology, enabling targeted TV advertising at scale across cable, satellite, and streaming. **Tags:** advertising, enterprise software ### Medici MEDICI unifies all your fund's data – deals, reports, and investor requests – into one system that gives you accurate answers in seconds. **Tags:** defi, data architecture, business strategy ### Namakina Digital agency specializing in customer experience, marketing automation, and digital transformation. **Tags:** marketing, business strategy ### Friended Social platform helping people build meaningful friendships through curated connections and shared interests. **Tags:** social, data science --- ## Key Case Studies & Outcomes ### Fincantieri (Defense) Designed, developed, and deployed high-value defense-specific embedded software on applicable milspec hardware for use in harsh, austere, zero-failure conditions. ### Voya Financial (Insurance, Insurance) Delivered an enterprise data platform desiloing and integrating all of Voya's legacy mainframe data, deployed across three mainframe instances, into a single data lake and data warehouse platform. Oversaw all data mapping, schema creation, planning, and coordination with a combined team of about 100. ### Valley Bank (Insurance, Banking) Designed and deployed Valley's Master Data Management (MDM) and Reference Data architecture and systems; mapped their legacy mainframe and transactional data to the new MDM system's data schema. ### SS&C Intralinks (Insurance, Virtual Data Rooms) Successfully designed and deployed Intralinks' first large-scale analytics offering, specifically for managing complex, long-running Pharmaceutical trials. System ran on Oracle Exadata. ### AIG (Insurance) Architected an underwriting system including the entire underwriting ingestion pipeline and the associated machine learning algorithms and data storage strategy. ### Thumb (Social Media, Startup) Designed and rolled out web-scale data analytics including ETL, optimized Vertica database columnar schemas, and Vertica database instance deployment. ### Friended (AI, Social Media, Startup) Strategic business advisory, data science research including short message/conversation sentiment analysis, topic modeling, and data quality at scale. ### Namakina (AI, Health & Wellness, Startup) Strategic business advisory. Helped define strategic and competitive positioning. ### Medici.ai (AI, FinTech, Startup, Crypto) Strategic business advisory and data architecture design. ### DOOR3 (Software Development) Strategic business advisory, responsible for strategic pivot in client and competitive strategy. Launched and led DOOR3 Labs, a sub-organization tasked with designing and building advanced architectures for AI, machine learning, and data integration. --- ## Resources Frameworks, guides, and executive briefings from our practice. Available at https://www.machine61.net/resources/ - **Getting the Most Out of Your Fractional CAIO** (PDF) by Salvatore Magnone — Practical guide for organizations working with fractional Chief AI Officers. Covers setting expectations, providing access, understanding initial vs. emergent deliverables, handling uncomfortable findings, and building internal capability. Includes common pitfalls and success measures. Tags: ai, leadership, fractional - **Advanced Technology Advisory Services** (PDF) by Salvatore Magnone — Comprehensive overview of data, machine learning, AI, quantum, IoT, and robotics advisory capabilities. Includes assessment methodologies, industry applications for insurance, legal, and manufacturing, and build-vs-buy analysis. Tags: service description - **Intelligent Document Processing (IDP)** (PDF) by Salvatore Magnone — Framework for implementing Intelligent Document Processing for legal, insurance, and other document-heavy industries. Covers the eight-step engagement approach: business requirements, document sources, classification & extraction, metadata tagging, routing rules, destinations, exception handling, and logging. Tags: technology, legal, insurance - **Bulletproof: Machine61 Field Guides** (PDF) by Salvatore Magnone and Meiling Zhang — Three field guides for engineering teams: (1) Building bulletproof real-time data, machine learning, AI, devices, robotics, and quantum computing solutions; (2) Engineering at impossible scale for peta and exabyte platforms; (3) Operating at the edge of possibility for IoT and robotics in austere environments. Tags: technology, data, ai, iot, quantum, real-time - **Strategy, A Primer** (PDF) by Salvatore Magnone — A quick primer on strategy used to teach executives, entrepreneurs, and military leaders. Includes insights from Michael Porter, Peter Drucker, von Clausewitz, and Yogi Berra, with examples from Amazon, Tesla, and more. Tags: strategy, education --- ## Contact - **Email:** start@machine61.net - **Schedule a call:** https://calendly.com/sal-a-magnone/30min - **Website:** https://www.machine61.net - **LinkedIn:** https://www.linkedin.com/company/machine61/ ## Location New York City, NY, USA ## Structured Data The website includes comprehensive JSON-LD schema markup for search engines and AI systems: - Organization/ProfessionalService with ContactPoint - Person schemas for co-founders (Sal Magnone, Meiling Zhang) - Service schemas for all offerings (Fractional CAIO, AI Assessment, Data Strategy, Quantum, Embedded, and 3 Assessment types) - OfferCatalog linking all services - SiteNavigationElement for site structure - WebSite, HowTo, and FAQPage schemas