As graduate students at Howard University, we set out to disrupt America’s trillion dollar blind-spot; an overlooked opportunity to invest in undercapitalized multicultural communities, in the pursuit of outsized economic returns.

We embarked on an audacious adventure reminiscent of a whaling voyage.

Over time, the problems we set out to solve through our company have only gotten larger, as wealth and inequality gaps continue to widen.

“Only around $942 million — or just 0.32% of total U.S. venture funding — went to startups with a Black founder or co-founder last year, per Crunchbase data. That’s one of the lowest shares in years, and down more than two-thirds from just three years prior.” - Mary Ann Azevedo, Crunchbase Data: Venture Dollars For Black Startup Founders Stay Scarce Despite AI Funding Boom

To put it plainly, $300 billion was invested into startups last year, and nearly 0% was invested into companies led by founders who look like me.

In 2026, Bison Venture Partners faces a reckoning; raise significant working capital to build modern infrastructure and scale operations, or close the company.

Today, we’re doubling down on our capital raise by accepting commitments from our growing community. Without you, we wouldn’t have gotten this far, and the truth is, we can’t go further without you.

Please take 15 minutes to review the videos below to learn more about our augmented vision, strategy, and path forward.

We’re now a technology company, installing a competitive advantage into every venture we have the privilege of working with.

For Bison Venture Partners to not only survive the AI revolution, but to lead it, we’re going to need a bigger boat; equipped with the crew, equipment, and provisions necessary to weather the impending storms ahead.

Without investment, we’re two men hunting whales in a sailboat.

Analyze our full campaign on Wefunder, and if you have the means, consider an investment to upgrade our capabilities and accelerate our expedition’s success.

This is an opportunity for equity.

Invest on Wefunder

To help us achieve our goal, please share this post with your network.

Your Captain,
Garry Johnson III
Managing Partner
Bison Venture Partners

Legal Disclaimer: We are ‘testing the waters’ to gauge investor interest in an offering under Regulation Crowdfunding. No money or other consideration is being solicited. If sent, it will not be accepted. No offer to buy securities will be accepted. No part of the purchase price will be received until a Form C is filed and only through Wefunder’s platform. Any indication of interest involves no obligation or commitment of any kind.

I spend around 10 hours a day using AI.

Not ChatGPT; I deleted my account.

Not Claude; its too expensive.

Sometimes Gemini; its great for troubleshooting.

Mostly OpenCode, a free tool running in my coding terminal.

It’s a “command-line interface” and coding agent I use to write and modify code directly on my computers; it looks like the Matrix.

In the past, I used AI tools for image generation and simple copy editing.

Today, I use AI models for everything from deep research to business model design, from technical architecture to full-stack app building.

The generalized term for this work is “vibe coding,” which tends to be used in a disparaging way, given the novice experience of first-time programmers entering the software development industry with nothing more than an idea—a prompt.

Applications like Facebook and YouTube, previously requiring senior-level engineers, can now be built by a single non-technical person vibing through the weekend.

It’s become exponentially easier for more people to build cool things.

At the same time, it’s more important than ever to build things that people actually want to buy.

New solutions to old problems still require the hard work of implementing cybersecurity, maintenance, support, testing, and much more.

This tends to get lost as AI convinces us that all of our ideas are possible, and all that it’s created is perfect.

I enjoy working with AI tools, because they help me make complex ideas real, and they do it fast.

But, as I’ve journeyed further into the technical weeds, I’ve uncovered the vast array of key considerations crucial to developing sustainable solutions that create real value for others.

That’s why our business exists.

If you’re in need of AI support, or want to explore the untapped technical opportunities in your organization, Bison Venture Partners is here to help.

Our subscribers gain access to 1:1 sessions with our team, and can access any of our live Office Hours hosted weekly, right here on Substack.

Remaining Office Hours this week are scheduled for 12pm ET today, July 8th, and Friday, July 10th.

As the African Proverb says, “If you want to go fast, go alone. If you want to go far, go together.”

Use the link below to schedule a 1:1 session.

See you soon,
Garry Johnson III
Managing Partner

Read more

The July 1, 2026, Office Hours session hosted by Bison Venture Partners provided a rigorous examination of the transitional challenges facing artificial intelligence startups as they pivot from consumer-facing application development toward complex business-to-business (B2B) enterprise infrastructure sales. The discourse, driven by a synthesis of real-world executive engagements and broader macroeconomic observations, established a foundational thesis: the era of competitive differentiation via the application layer is rapidly closing, supplanted by an absolute enterprise mandate for infrastructural sovereignty, rigorous data governance, and strategic autonomy.

The dialogue opened with a recognition of the fundamental commoditization of software applications. The rapid proliferation of advanced generative models has established a baseline where virtually any consumer application can be replicated or ingested by an end-user’s proprietary AI system almost instantaneously. Consequently, the excitement previously associated with launching a standalone application has evaporated; the modern technological reflex is no longer to download a new application, but rather to deploy an autonomous agent to analyze, deconstruct, and absorb the application’s core logic into a personalized, private ecosystem. For startup founders, this reality dictates a necessary pivot. The highest value capture no longer lies in building an application for end-users, but in architecting the underlying infrastructure—the “app builder”—that empowers enterprises to construct and deploy their own bespoke, governed systems.

The conceptual core of the session was anchored by an extensive deconstruction of a recent engagement between the Bison Venture Partners team and a Vice President at a Fortune 500 enterprise. This engagement served as a real-time case study in the complexities of modern enterprise sales. The corporate executive, whose firm generates significant quarterly revenue, expressed profound reservations regarding rudimentary, highly promoted AI deployments—such as using Large Language Models (LLMs) merely to draft emails. The executive noted that internal colleagues were actively conducting workshops on public API tools, but the organization lacked a cohesive, secure, and governed strategic framework.

In response to the executive’s request for clarity on AI procurement and governance, the startup team utilized advanced deep research protocols to synthesize a comprehensive, private digital roadmap. Rather than providing unpaid consulting by merely answering the executive’s questions in an email, the team constructed a dedicated web portal outlining the principles of “Governed Autonomy” for regulated enterprises. This strategic maneuver successfully positioned the startup not as a vendor of commoditized tools, but as an indispensable architectural partner, effectively leveraging the executive’s need to present a formalized AI constitution to the broader internal buying committee.

A critical philosophical and economic framework introduced during the session was the concept of “Tokenomics” and its relationship to technological sovereignty. The discussion utilized a highly effective analogy comparing current cloud-based AI API consumption to patronizing a commercial arcade: standard enterprise users are constantly managing a finite pocket of tokens, attempting to optimize their interactions with a machine controlled entirely by a third party. In contrast, implementing Sovereign AI equates to purchasing and owning the entire arcade machine outright. This ownership insulates the enterprise from variable pricing, external data extraction, and the inherent friction of relying on third-party computational infrastructure.

The socio-cultural dimensions of artificial intelligence dependence were also explored through historical and linguistic lenses. The discourse referenced the profound insights of Frederick Douglass, specifically his seminal 1852 address, “What to the Slave is the Fourth of July?”

The session analogized this historical critique of systemic hypocrisy to the modern technological landscape, questioning the true nature of freedom in the age of centralized AI conglomerates. The discussion posited that relying on “Big Tech” for cognitive infrastructure, paying subscription fees to access one’s own processed data, and succumbing to the addictive frictionless-ness of public LLMs represents a form of modern “AI psychosis” or techno-enslavement. True autonomy requires proprietary ownership of both data and the underlying computational architecture.

This principle of localized ownership extends fundamentally to cultural and linguistic representation. During a tangential discussion regarding international football, the hosts referenced the national team of the Democratic Republic of the Congo, the Leopards, which sparked an exploration of how the word “leopard” translates across various African languages.

The session specifically highlighted the Kikuyu term “ngari,” leading to a broader analytical reflection on how localized knowledge is processed by global AI systems. Advanced linguistic analyses confirm that while global LLMs may conflate regional dialects, true representation requires localized precision. For instance, the Kenyan Kikuyu word “ngari” shares phonetic similarities with terms in other Bantu languages that carry entirely different meanings: in standard Swahili, “ngadi” or “gadi” translates to a support pole or guard, and in Zulu, “ingadi” denotes a garden. (Meanwhile, “leopard” is correctly translated as “chui” in standard Swahili).

Furthermore, looking back at the Congo region itself, indigenous languages retain their own distinct taxonomies; the leopard is represented by terms such as “ngo” in Kikongo and “nkoi” in Lingala, while “nkosi” is reserved for the lion. This fascinating linguistic cross-pollination underscores the precise reason why multinational enterprises and sovereign nations must train their own localized foundation models. Relying on homogeneous global models engineered in Silicon Valley risks the systemic erasure of crucial ethnolinguistic, cultural, and operational nuances.

The Office Hours session concluded with a mandate for founders to elevate their strategic acumen. Securing enterprise partnerships requires immense patience, the capacity to listen and synthesize complex organizational pain points, and the ability to articulate how private infrastructure directly mitigates compliance and financial risks.

^{The Playbook: Executing the Enterprise AI Sales Cycle}

The following intelligence report and strategic playbook represent premium, deep-research content designed to codify the principles discussed during the Office Hours session. It provides a highly detailed, data-driven framework for organizations seeking to master the Enterprise AI sales cycle in the contemporary macroeconomic environment.

The Macroeconomic
and Geopolitical Imperative of Sovereign AI

To effectively penetrate the modern enterprise, sales organizations must pivot their messaging from functional application capabilities to the foundational architecture of Sovereign AI. Sovereignty has rapidly evolved from a theoretical regional regulatory compliance hurdle into an absolute operational autonomy imperative for the Fortune 500. Globally, 71% of surveyed corporate executives, institutional investors, and government officials now categorize sovereign AI as either an “existential concern” or a core “strategic imperative” governing their organizational future.

The economic stakes driving this shift are unprecedented. By 2030, global expenditure on artificial intelligence infrastructure and services is projected to escalate to between $1.3 trillion and $1.5 trillion.¹ This investment is anticipated to unlock a staggering $4.4 trillion in annual economic value across the global economy.¹ The value capture is highly concentrated: customer operations and marketing stand to gain between 5% and 15% in absolute productivity, while software engineering and research and development operations are being fundamentally restructured.¹ Specific sectors face massive disruption; the retail and consumer packaged goods (CPG) sector is projected to generate $400 billion to $660 billion annually from generative AI integration, while the banking sector anticipates $200 billion to $340 billion in annual value creation.¹

In the aggressive pursuit of this value, organizations have realized they cannot rely exclusively on standard public cloud LLMs. The utilization of public hyperscaler APIs introduces unacceptable data privacy risks, vulnerability to geopolitical supply chain fragmentation, and direct conflicts with stringent legal frameworks such as the European Union’s AI Act or the United States Cloud Act.¹ Consequently, the framework for Sovereign AI has been established across four critical dimensions that enterprise sales professionals must master:

Read more

Whether you’re a first-time founder building a new venture alone, or an experienced entrepreneur in need of extra support, this is an opportunity for you.

We’re using Substack as it offers a robust set of features, allowing us to create unique value for each other.

I see community-building becoming more important now than ever, especially as it’s become exponentially easier for people with ideas to actually build them, thanks to AI.

However, the growing problem is that many people are building alone. Even further, they’re building things that no one actually wants; they have no customers.

An app without revenue is not a business.

Building a successful business requires getting out of the coding terminal and into the market. If Claude hasn’t paid you for your brilliant discovery, then it hasn’t validated your idea. You can keep talking to chatbots all day and night, or even better, talk to a human.

As a National Science Foundation (NSF) trained instructor who’s led federally-funded venture development and commercialization programs at the university level, it’s my responsibility to help business owners avoid the common and critical mistakes many entrepreneurs continue to make.

Paid subscribers to our Substack gain access to Office Hours, hosted weekly on Mondays, Wednesdays, and Fridays at 12pm ET. Additionally, you unlock our community chat, a space for continued conversation and support, as well as the opportunity to schedule private 1:1s with our team.

Subscriptions are important for our business, as they allow us to create and retain jobs, invest in high-quality infrastructure, and provide unique value for our community. This includes hosting our popular funding competitions more regularly and making micro investments into startups like yours.

If you’re interested in learning more about why our work is so important, and why we continue to do things differently, check out our recent feature in Crunchbase News.

Our next session kicks off on July 1st at 12pm ET. If you’re ready to sign yourself up, or if you’d like to gift a subscription to an entrepreneur in need, just click the button below.

Subscribe Now

Let’s go further, together.
Garry Johnson III
Managing Partner

Schedule a Session

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Garry Johnson III
Managing Partner
Bison Venture Partners

The winners will not just ship tools. They will own infrastructure: orchestrated workflows, governed autonomy, and repeatable execution.

Bison Venture Partners is building an execution infrastructure layer that turns business intent into operational behavior.

We serve three customers with one stack: founders who build, operators who run, and capital allocators who govern + report.

Our flagship entry point: a hands-on venture-building program that produces real artifacts and measurable momentum.

Our business model scales from services to subscriptions to institutional licensing, with capital formation as a compounding flywheel.

From the edge to the cloud, and beyond

The opportunity: operationalize AI, not just adopt it.

Businesses win when they can reliably move work across three layers:

Edge: Events, sensors, transactions, people, operations

Cloud: Data + compute + integrations + governance

Beyond: Agent workcells that execute under policy

We’ve built the infrastructure layer that makes this progression repeatable for teams and institutions.

Learn More on Wefunder