Computer-Controlled Smart Referrals System And Method
First filed 2024-01-17. 2 filings on record with the USPTO.
160 of 160 works.
First filed 2024-01-17. 2 filings on record with the USPTO.
A free browser tool that turns a few answers about a business document into a review prompt that scores how much of it is specific, evidenced, and useful, and how much of it could have been written for any company.
Bad internal writing is not a writing problem. It is a respect problem. Every vague document you send asks your colleagues to finish your thinking for you. AI made the slop cheap to produce and did nothing for the cost of reading it.
Regulated industries run on one rule: no document, no event. That sounds bureaucratic until you try to reconstruct a decision from six Slack threads and five different memories. Here's the pattern, and why AI just made it cheap.
One engineering setup that installs the same way on Windows through WSL, Linux, macOS, in a container, or in a cloud agent session, with the shell, git credentials, repository layout, and everyday tools already configured.
Most companies don't have a communication problem. They have an uninstrumented one. Here's how I'd use AI to score communication behavior, turn complaints into structured findings, and leave the human judgments to humans.
My working theory: these models are great at continuing and lousy at being done. The last stretch of a project probably needs different rules, not a smarter model — a canonical spec, scheduled audits, and a second model as judge.
Revenue is not the same thing as being alive. A test for founders of mature software companies: if you started this company today, knowing what AI makes possible, would you build anything resembling what you now operate?
The reflex when a business stakeholder derails a technical working session is to stop inviting them. That is almost always the wrong fix. What technical meetings need is rules of engagement, not walls around engineering.
A guide for executives who think every technical problem should already be obvious to the engineering team. Simple after discovery is not the same thing as obvious before discovery, and confusing the two produces terrible management decisions.
Alpha, in investing, is the return you cannot explain by the market. Native Alpha is the business version: the unusual advantage already sitting inside your company, your customers, your data, and your relationships, and the discipline of letting it decide what you build, buy, fund, sell, and stop.
For non-trivial changes to legacy systems, define the business outcome first, then how you will prove the change works, before you estimate or build it. Outcome, evaluation, bounded discovery, incremental implementation, in that order.
Alpha in finance is the return you cannot explain by the market. Here is what that actually means, why investors bother separating skill from luck, and which parts of the idea carry over to running a company and which do not.
AI made building things dramatically cheaper, which quietly destroyed a lot of differentiation that was never real. How to tell commodity execution from differentiated execution, and where to spend the judgment you have left.
First filed 2024-12-11. 1 filing on record with the USPTO.
Enthusiasm inside a company proves nothing. The strength of evidence for an advantage is measured by what somebody outside gave up to act on it, from a compliment at the bottom to a renewal at the top.
The same product can be ordinary for one buyer and transformative for another. Product-asymmetry fit and the Ideal Alpha Profile explain why the customer with the biggest problem is often the wrong customer.
Published in Journal of Diabetes Science and Technology. DOI 10.1177/19322968261480134.
Advantage is contextual, it hides at surprisingly small scales, it needs protection in the place it actually lives, and it expires. How to find it, where to put the fence, and when to admit it is gone.
Reasoning from first principles means stripping a problem down to what you can verify and rebuilding from there. In executive hands it usually means ignoring people with experience. This is the real version, and how it fits with Native Alpha.
Granted as US11880882, US12437338, US12688531, US12694451, first filed 2019-04-25. 5 filings on record with the USPTO.
First filed 2024-11-27. 1 filing on record with the USPTO.
Granted as US11769573, US12658290, first filed 2018-10-16. 2 filings on record with the USPTO.
Granted as US12155747, US12652158, first filed 2021-01-14. 2 filings on record with the USPTO.
Systems and methods for executing, orchestrating, and materializing computational workflows from document-based representations. Human-readable documents such as Markdown files carry the documentation, the executable logic, and the structured outputs as one artifact.
Granted as US11423500, US11651459, US12572993, first filed 2019-12-12. 3 filings on record with the USPTO.
Journal of Translational Medicine. Artificial Intelligence (AI) has the potential to impact healthcare across multiple domains. In diabetes, a complex chronic disease affecting 600 million people globally, AI is already being used from primary care to tertiary specialist care to reduce patient and clinician burden. However, for medical AI to be widely implemented and applied specifically to diabetes, such stakeholders as patients, clinicians, healthcare administrators, regulators, and AI developers will need to establish trust in this technology.
Journal of Diabetes Science and Technology. Sharing research code in an open access version-controlled repository offers significant benefits for both science as a whole and for individual researchers. This article focuses on this practice, which is fully aligned with the NIH's Gold Standard Science (GSS) program as well as FAIR (findable, accessible, interoperable, reusable) and TRUST (transparency, responsibility, user focus, sustainability, technology) principles.
The goal is a working operation in which people, machines, software, and outside services each carry the work they can perform well and lawfully.
AI makes some attacks cheaper and gives defenders more ways to watch systems continuously. This pillar asks which neglected defensive jobs machines can now do, and which decisions still need a person.
A reference lab for biomarkers captured passively from ordinary sensors: voice, gait, respiration, facial expression, wearable and metabolic signals, standardized into panels, reported like any other lab result, and governed by an integrated review board and clinician network.
Engineering disciplines specify an outcome, instrument the system, attack the assumption, measure what happens, and improve. This pillar applies that sequence to cyber resilience and collects the evidence needed before any composite score can honestly be defined.
Software stacks grew taller because human developers needed abstractions, frameworks, libraries, SDKs, and managed services to make difficult work practical. Native AI changes that tradeoff.
The product is the care pathway that selects, combines, delivers, observes, and improves technology around a patient outcome.
Back the clinicians rebuilding care delivery. An intelligence engine built on CMS and claims data decides whether the firm invests in a founder already in motion, takes selective control of an operator worth re-platforming, or builds the company itself.
When every competitor can reach for capable models, coding agents, cloud infrastructure, and increasingly similar technology, producing more software is no longer a sufficient strategy.
An open initiative for scientific research reproducibility. Companion executable source code repositories pair a published paper with the code, data, and documentation needed to reproduce it, turning static publications into living evidence.
An organisation can hold every certificate its market asks for and still be unable to detect, contain, or recover from an ordinary intrusion. Compliant Insecurity is the name for that condition. This pillar studies how regulatory and contractual obligations move from periodic attestation to continuous operational evidence.
Zero Neo says new software should be the last resort when you already own the platform. The same question applies to hardware. Consumer electronics has already commoditized most of the sensing, compute, radio, and power a large class of medical devices needs. If that is true, and if AI-native methods can compress the regulatory and quality work, then some reimbursed devices are priced as though neither change happened.
An operating system for supervising an accountable digital care operation. A clinical leader reviews decisions, evidence, and billing as a queue of work with owners and dates, instead of hunting through a dashboard for whatever went wrong.
The companion shared service we run when Revenue Engineering is too early. The outcome it owns is proven demand: a named audience, a claim that survives contact with them, and a first step they will actually take.
The companion shared service used before revenue engineering, when a company still has to establish that anyone wants what it sells.
Start with the result a customer values. Then find the unusual insight and the constraint a capable competitor cannot avoid without weakening that result.
“There's no business model in healthcare to do the right thing” is not a complaint. It is a research question. A product can be clinically effective, FDA cleared, physician-loved, and pilot-proven, and still have no institutional path to a purchase, because the person who benefits is rarely the person who pays, the person who pays rarely controls the budget, and “the hospital” is never actually the customer.
We hand capable engines important work and then hand them a thin description of the people, companies, customers, competitors, products, and systems the work is about. An Eidolon is a working digital reflection of one of those things: not a replica, not a clone, but enough grounded reality for an AI to reason about the original without guessing.
A care model can advance only when its scientific, market, adoption, economic, and strategic claims survive separate review.
Most fixed operations problems do not arrive as large, obvious failures. They arrive as small, repeated variances: a discount here, two-tenths of an hour there, a technician waiting on a part, an advisor who presents some recommendations but not others. Individually, none of that looks like a crisis. In aggregate, it is the operating economics of the department.
Break the product into the assets that create value, then use the narrowest controls that can do a real commercial job.
American healthcare is accused of paying only for sickness and visits, and the charge is mostly fair. It is also incomplete. Medicare now pays for chronic care management, transitions after discharge, remote monitoring, behavioral health integration, illness navigation, caregiver training, advance care planning, and monthly advanced primary care bundles. Most practices collect a small fraction of it, because the administrative work of earning that payment costs more than the payment itself.
Government should keep every acquisition function that requires public authority and test different ways to perform the commercial support work underneath it. This is not privatization. It is a way to find out what works.
Governance, risk, and compliance teams write policies, maintain spreadsheets, collect screenshots, and answer questionnaires. This pillar asks how much of that evidence the systems themselves can produce.
A large part of security practice asks employees to remember instructions and behave correctly under time pressure. This pillar studies what happens when that expectation is replaced with technical arrangements that make the safe action the default.
Healthcare is unusually intermediated. Between an innovation and the patient sit physicians, hospitals, distributors, DME suppliers, pharmacies, PBMs, payers, employers, purchasing organizations and government programs, and each of them controls a different part of the money, the workflow, the risk or the door. This pillar treats that structure as something to be mapped and redesigned rather than accepted.
Assume intelligence, research, and engineering keep getting cheaper. Protect the parts of an advantage that remain scarce under that assumption.
Registered in classes 9, 35 and 42, held by Netspective Communications LLC.
Work becomes governable when its purpose, evidence, authority, limits, exceptions, and tests are written clearly enough to inspect and change.
Useful interventions stall when patients cannot be found, clinicians cannot act, institutions cannot absorb the change, or payment and accountability remain unsettled.
Infusion pumps, ventilators, monitors, imaging systems, lab analyzers, dispensing cabinets, dialysis machines, sterilizers, and refrigerators all do work the hospital is accountable for. When a device can’t report that work, staff write it down by hand, rebuild it after the fact, or never learn it at all.
A governed evaluation platform for hospitals and health systems. Instead of a procurement queue full of unranked vendor claims, a health system gets structured evaluation: who has been vetted, on what evidence, against which internal need.
Finds reimbursed demand in healthcare and states it in the terms a business plan needs: the claims-defined cohort, the counties where the gap is largest, the CMS signal that proves it, the CPT and HCPCS codes and bundles that pay for it, and the revenue at stake. It is a shared service to every other venture and the intelligence spine of Fund II.
A healthcare growth and care-access capability that turns fragmented patient demand into timely, scheduled care. The team designs, launches, and operates AI-driven demand intelligence, orchestration, and routing on behalf of provider organizations, filling real provider capacity instead of reporting clicks and leads. The portfolio's ventures draw on it as the shared demand-and-access engine.
Consequential work needs evidence of what happened, clear limits on authority, known failure modes, and a test tied to the result in the world.
Verified practitioner consults delivered online, with a real operating stack behind the booking screen: intake, a longitudinal care record, agents that carry the routine work, a clinician copilot, and the compliance apparatus a regulated consult requires.
Read an existing patent backward to recover the unusual insight, current use, product opportunity, and decision the right can still change.
An execution layer that turns the Microsoft 365 or Google Workspace a provider already pays for into a working digital front door. The argument is that most organizations do not need to buy more healthcare software; they need the software they own to actually run the work. It serves the portfolio as the shared front-door capability.
An HSA card that pays patients a data dividend for consented, de-identified health data. No surveys, no tracking: the value exchange rides on the card transaction itself. The privacy architecture (HIPAA Expert Determination de-identification, transparent revocable consent, IRB oversight for research partnerships) is the work, not the marketing.
Public records can expose spending, unmet need, scientific movement, delivery capacity, policy experiments, regulated products, and the gaps between them.
Prevention attracts budget and attention. Recovery is usually delegated to infrastructure, measured by job success, and rehearsed rarely. This pillar studies whether recovery capability is systematically underinvested relative to its effect on total loss.
The shared revenue capability every company in the portfolio draws on. We define an outcome, build an AI Workforce™ that owns it end to end, and run it on one platform with the same observability and reporting for every firm.
The shared service that runs go-to-market for portfolio companies, and the software harness behind it.
NIH reported 62,592 Research Project Grant applications in fiscal year 2025 and funded about 13 percent of them. Peer review is careful, rule-bound, and about as fair as a system that size can be, but a scientist normally meets it from the outside, a few applications at a time, while NIH and experienced institutions operate with accumulated knowledge most PIs never see.
A continuous clinical research infrastructure platform that reads signals across consented health transaction data for earlier detection and continuous research. Payshent is its funding and consent layer; Symvion is the intelligence layer that turns compensated patient data into detectable signal.
Schools divide labor among classroom teachers, language specialists, special educators, counselors, interventionists, and administrators for good reasons. Children do not experience those divisions. They experience a single week, and when the adults around them do not coordinate, the child is the one who carries the information, reconciles the contradictions, and absorbs the delay.
A contrarian, practical leadership book for the technologist who was promoted because they were the best engineer in the room, and is now discovering that the same instinct can make them the organization's most expensive bottleneck.
A regulated technology business may find that its next competitor is not another vendor but the practice it has been selling to, rebuilt around AI as an operating company.
The CTO title hides radically different jobs. A startup builder, SME technology leader, business-unit CTO, enterprise strategist, and fractional adviser can all be excellent, but not for the same company or moment.
Most privacy programs are documentary. Notices, consent language, contractual clauses, and a data inventory maintained by interview. This pillar studies privacy as an engineered property of running systems, where the claim in the notice can be checked against the behaviour of the data.
Security programs are usually described by what they have: purchased tools, signed policies, closed findings, and certificates. That says almost nothing about what would happen if a capable attacker tried something today. This pillar tests the controls and measures what happens.
A release passes QA and a scripted acceptance test, and the demo looks great. Then real customers arrive. Setup takes days, the person who does the work never saw the promise, and success has to rescue every account. Nothing was broken. The feature worked and the promise did not hold.
A therapy, device, or diagnostic succeeds only when the patient, care team, and delivery setting are ready to carry its clinical capability into a reliable result.
A job title bundles work, authority, trust, evidence, and liability. Open the bundle before deciding what should move and what must stay with a person.
Other organisations hold much of a company's security in their hands: managed providers, cloud platforms, software vendors, clinical systems, contractors, open-source maintainers, and AI providers. This pillar asks what those parties actually do when trouble starts.
AI matters most where it makes useful work economical for the first time. This pillar looks past faster versions of familiar jobs and searches for work, products, services and organizational capabilities that humans could not afford to perform continuously before.
A nurse says, “I need to know which patients need my attention.” Support, Customer Success, Product, Design, Engineering, and QA each do competent work on that sentence. Months later the nurse gets a status column and says, “This doesn’t help me decide who to call.” Nobody failed. The system worked as designed, and that is the problem.
A unit identifies a need. Years later, after requirements writers, program offices, a prime contractor, its suppliers, and test ranges far from any fight have each done competent work, the system arrives. By then the threat has changed.
The dashboard is an artifact of software that could not reason. When a system can rank, explain and justify, the correct interface is a briefing, a ranked stream of judgment calls and a conversational explorer, not KPI tiles, module sidebars and worklists. This pillar documents what replaces the dashboard and what it costs to give one up.
New software for business operations should be the last resort if Microsoft 365 or Google platforms are already good enough. Zero Neo is the program that tests whether AI has made that position defensible, and looks for the places where it is wrong.
A team can now build the wrong feature with remarkable efficiency: turning a passing remark into shipped software before anyone notices no decision was made. The old management stack of product managers, project managers, and status meetings existed partly to compensate for expensive human coordination. AI changes which parts of that stack still need a human doing them.
Granted as US9525753, US10320735, US11044221, US11777894, US12401615, first filed 2012-12-12. 6 filings on record with the USPTO.
Journal of Diabetes Science and Technology. New methods of continuous glucose monitoring (CGM) data analysis are emerging that are valuable for interpreting CGM patterns and underlying metabolic physiology. These new methods use functional data analysis and artificial intelligence (AI), including machine learning (ML).
A modular agentic AI platform for autonomous execution of enterprise workflows. An autonomous agent layer holds stateless software agents, each with a task execution engine, an in-memory contextual state manager, an AI model invocation interface, and an input-output normalization module.
How modern engineering teams should evolve their processes, priorities, and incentives to remain relevant in the era of AI, agents and intelligent systems.
It may sound legacy, but email and document-based workflows are the most effective user interface for launching real-world AI solutions. Here's why AI should start where customers already are.
First filed 2025-03-17. 1 filing on record with the USPTO.
AI roadmaps are not just technical plans; they are trust strategies, implementation guides, and accountability tools. In this post, Shahid Shah outlines the essential components of AI roadmaps for governments and mission-driven organizations, and how to evaluate if your roadmap is truly ready for execution.
Filed and under examination in classes 9 and 42, held by Netspective Communications LLC.
A small, working fund that incubates the foundational ventures and shared services the rest of the portfolio will run on: demand intelligence, revenue operations, an execution layer for providers, and ambient measurement.
The claims-defined view of where reimbursed demand actually sits: cohort, county, CMS signal, the codes and bundles that pay, and the revenue at stake. It is the intelligence spine under Fund II, and an asset in its own right.
The firm's operating method, together with the written materials and engagements delivered under the name.
Filed and under examination in classes 42, 35 and 9, held by Netspective Communications LLC.
Journal of Diabetes Science and Technology. The Diabetes Research Hub (DRH) is a centralized data management system and repository that will revolutionize how diabetes data are gathered, stored, analyzed, and utilized for research. By harnessing advanced analytics for large datasets, the DRH will support a nuanced understanding of physiological patterns and treatment effectiveness, ultimately advancing diabetes management and patient outcomes.
Under the DoD’s CMMC Program, maintaining continuous compliance is crucial, and machine attestation provides the consistency and accuracy human checks can’t match. By automating compliance tracking, contractors can ensure real-time verification, creating a robust audit trail and reducing compliance risks across contract lifecycles.
Healthcare's cybersecurity crisis is critical, with outdated defenses exposing patient data and trust. Zero Trust is now mandatory, and delays in breach detection can cause immense damage. Effective leadership, including fractional CISOs, is essential for modern defense. Inaction isn't an option, proactive steps are necessary to safeguard against sophisticated threats.
Venture capitalists often overlook the strategic importance of a Chief Technology Officer (CTO), mistaking technical co-founders as a simple checkbox. A seasoned CTO bridges vision and execution, aligning tech strategy with business goals, mitigating risks, and driving innovation, key factors that can make or break a startup's success.
High-performance computing (HPC) has revolutionized healthcare, particularly in fields like oncology and biomedical engineering, where it enables researchers to perform complex simulations and genetic analyses far quicker than traditional methods. The transition from conventional numerical analysis to dynamic generative AI has further expanded the capabilities of this powerful technology, not only enhancing patient care but also reshaping expectations for rapid medical innovation.
There was a time when no one really needed a CISO. Today, an organization would be dangerously insane not to have one. And that CISO had better be top-notch. The role of the Chief Information Security Officer (CISO) has evolved significantly from being solely a technology-focused professional to becoming a strategic business leader
Over a decade of innovation in precision learning and education has led to a significant surge in patent activity, with filings growing from 85 in 2014 to 1145 in 2023, marking a clear trend towards increased innovation and investment in this sector. Driven by a surge in demand for remote learning solutions during the COVID-19 pandemic, the precision learning sector has witnessed an unprecedented focus on developing and commercializing e-learning platforms recently, which is visible in patenting trends as well.
Electronic Medical Records (EMR) systems are used for efficient and effective patient care management. However, with the increasing reliance on these digital systems comes a significant challenge: ensuring the security and integrity of sensitive medical data.
Granted as US11388077, US11888597, first filed 2019-10-30. 2 filings on record with the USPTO.
Granted as US10963585, US11874949, first filed 2012-09-10. 3 filings on record with the USPTO.
Registered in classes 42 and 9, held by Netspective Communications LLC.
Registered in classes 9 and 42, held by Netspective Communications LLC.
Registered in classes 9 and 42, held by Netspective Communications LLC.
Exploring the benefits of transitioning to a 'compliance as code' model by reflecting on successful implementations of other 'as code' models.
Explore how a Fractional CTO can navigate the complex technological landscape in heavily regulated industries, making compliant and informed decisions.
While a system may meet all the necessary regulations and standards, it can still be vulnerable to threats and attacks because of human attestation.
Staff retention refers to the ability of a company to retain its employees over a period of time. It is a crucial aspect of any organization, especially in the technology sector where skilled professionals are in high demand.…
Enterprise architecture is a strategic framework that helps organizations align their business and technology strategies. It provides a holistic view of the organization’s structure, processes, and systems, enabling effective…
A Fractional Chief Technology Officer (CTO) is a senior-level executive who provides part-time, strategic guidance and leadership in the technology domain. Unlike a full-time CTO, a fractional CTO works on a contract basis,…
A Chief Information Security Officer (CISO) is a senior executive responsible for establishing and maintaining the enterprise vision, strategy, and program to ensure information assets and technologies are adequately…
Granted as US10643208, US11568401, first filed 2019-02-24. 2 filings on record with the USPTO.
Granted as US11561884, first filed 2020-11-18. 1 filing on record with the USPTO.
A Fractional Chief Technology Officer (CTO) is a highly skilled and experienced technology executive who works with companies on a part-time or project basis. They provide strategic guidance and leadership in the development…
Every family in the register, rewritten so an operator can tell in two minutes whether it applies to their problem. A standing publication program, not a marketing page.
Granted as US11475441, first filed 2018-07-25. 1 filing on record with the USPTO.
Published in Journal of Diabetes Science and Technology. DOI 10.1177/19322968221119146.
I challenge the conventional wisdom on cybersecurity, focusing on the problem of 'compliant insecurity'.
Journal of Diabetes Science and Technology. The first meeting of the Integration of Continuous Glucose Monitor Data into the Electronic Health Record (iCoDE) project, organized by Diabetes Technology Society, took place virtually on January 27, 2022. Clinicians, government officials, data aggregators, attorneys, and standards experts spoke in panels and breakout groups.
Granted as US11270263, first filed 2013-09-12. 2 filings on record with the USPTO.
First filed 2012-02-02. 3 filings on record with the USPTO.
Granted as US10638999, US11006920, first filed 2012-02-02. 4 filings on record with the USPTO.
Granted as US10984913, first filed 2012-04-27. 2 filings on record with the USPTO.
First filed 2013-04-18. 2 filings on record with the USPTO.
A patient access venture, sponsored by the nonprofit Netspective Foundation, that helps people obtain the health records they are already entitled to and helps provider organizations meet their information-blocking obligations.
First filed 2012-05-14. 3 filings on record with the USPTO.
Granted as US10839020, first filed 2014-04-14. 3 filings on record with the USPTO.
Granted as US10490304, US10811124, first filed 2012-01-26. 4 filings on record with the USPTO.
First filed 2012-05-01. 2 filings on record with the USPTO.
Granted as US10586069, first filed 2016-05-24. 1 filing on record with the USPTO.
Training is treated as a broadcast: publish the course, record the completion, hope for the change. We treat human knowledge as a control loop instead, where every step from delivery to outcome produces evidence and the evidence decides what the person gets next.
Granted as US9846896, US10489830, first filed 2014-06-22. 3 filings on record with the USPTO.
Granted as US10403399, first filed 2014-11-20. 2 filings on record with the USPTO.
Granted as US10089492, first filed 2015-05-25. 2 filings on record with the USPTO.
Granted as US7039898, first filed 2002-07-12. 1 filing on record with the USPTO.
Granted as US9870591, first filed 2013-09-12. 2 filings on record with the USPTO.
The record of what systems actually do in the field versus what they are documented to do, which is where our findings start.
Revenue operations and denial management built for home-based care. We run the operational layer over the intake-to-cash lifecycle for home health, home infusion, DME, hospice, and respiratory providers.
Registered in classes 35 and 42, held by Netspective Communications LLC.
A health innovation discovery platform: crowd-curated technology, use cases, and market signal used as an intelligence surface, not a blog.
Granted as US9418355, first filed 2013-09-20. 1 filing on record with the USPTO.
The standing argument that passing an audit is not the same as being secure, written for the people who own both obligations.
Our method for turning a finding into an owned position: find, prove, decide, compound. It is a work in its own right, because everything else in this register was produced by running it.
GovCon Intelligence Center (GovCon IC): the publication for how public agencies buy, modernize, and evaluate technology.
A nonprofit operating company that equips medical researchers, clinicians, and patient advocates with software engineering, data architecture, AI, and machine learning to advance real-world evidence.
A healthcare media network of news, interviews, and vendor coverage written for the people who buy and run health technology, not the people who sell it.
The longest continuous record in the publishing program: a personal site where health IT arguments, field observations, and invention sketches have been published in public for two decades.
Pending at Intellectual Frontiers in class 42, held by Shahid N. Shah.
Registered in class 42, held by Netspective Communications LLC.
Registered in class 42, held by Netspective Communications LLC.
Engineering and delivery for regulated software: the bridge between AI-generated code and a product that survives FDA submission, FedRAMP authorization, HIPAA audit, and SOC 2.
A family of USPTO filings around one invention, granted or pending, with its real status.
An operating company chartered by Studios, with an entity, an operator, and a closure path.
A capability built for the whole portfolio and designed to be spun out on its own.
A company funded, built, or spun out. (Lapsed filings remain in the patent register.)
A pool of capital with a written thesis and a stated deployment model.
Long-form publishing that makes the case for an invention or an operating model.
Standing research programs and publication series, including peer-reviewed work.
A landscape read that changed a filing or funding decision.
A defensive publication that puts prior art in the open so a bad patent cannot be filed later.
A structured intelligence asset that decides where capital, filings, or ventures go next.
A reusable operating method that the rest of the portfolio is built on.
A piece the founder published on his own site, tagged by type, that argues a finding in the open before it becomes a filing or a fund.
Software we build and maintain, under whatever licence fits it: open source, source available, proprietary, or held inside a venture.
An owned online publication that makes the case for our work to a standing audience.