Bio

Brayden Levangie is an American AI engineer and the founder of Levangie Labs, the San Francisco AI research and development company that builds the Cognitive Agentic Framework, a proprietary architecture for adaptive, self-directed AI agents combining deep learning with symbolic reasoning, episodic memory, and autonomous resource provisioning. As of May 2026, he leads the company through the integration partnership with Vertical AI, the equity investment that Vertical AI announced in August 2025, and the Akash Network decentralized-compute deployment that demonstrates "agents scaling agents" provisioning.

At a glance

• Education and early work: Began experimenting with language models at age 13 through an MIT summer program; obtained early access to GPT-3 by directly contacting OpenAI; hired as the lead AI engineer at a New York startup at age 17. Self-funded early research through lawn care and retirement-home work.
• Current role: Founder of Levangie Labs since approximately 2018 (research project), commercialized as Levangie Laboratories in subsequent years.
• Key contributions: Cognitive Agentic Framework (CAF), a proprietary architecture for autonomous AI agents; Living Knowledge Graph System integration with the Vertical AI platform; "agents scaling agents" demonstration on Akash Network.
• X / Twitter: @blevlabs
• LinkedIn: Brayden Levangie
• GitHub: blevlabs

Origins

Per public profiles, Levangie began experimenting with language models at age 13 through an MIT summer program. He obtained early access to GPT-3 by directly contacting OpenAI, an unusually early engagement with the foundation-model line for a researcher of his age, and self-funded his early research through lawn care and retirement-home work. He has been profiled in industry coverage as an example of the kind of self-directed AI engineer who became active during the 2020 to 2022 GPT-3-to-ChatGPT transition.

At 17, Levangie was hired as the lead AI engineer at a New York startup. He subsequently relocated to San Francisco to focus full-time on Levangie Laboratories, the company that grew out of his independent AI research project.

Career

The technical foundation of Levangie Labs centers on what the company describes as cognitive architecture: AI systems built around autonomous reasoning loops that optimize for objectives rather than dialogue, episodic memory that lets agents learn from experience, and neuro-symbolic blending of deep learning with symbolic reasoning. Per industry coverage, one of his early projects was reportedly an early instance of what later became called retrieval-augmented generation.

The company achieved its first commercial partnerships and revenue in 2024. In August 2025, Vertical AI, a no-code platform for AI customization operating on decentralized compute, announced an equity stake in Levangie Laboratories. The partnership integrates the company's Living Knowledge Graph System into the Vertical AI ecosystem, allowing AI models to continuously expand their knowledge across multiple data types without retraining. Specific deal terms were not disclosed.

The Akash Network partnership has demonstrated what the company calls "agents scaling agents," in which AI systems autonomously provision additional compute through the Akash API as workload demand increases. The demonstration is the principal external reference for the operational autonomy thesis.

The disclosed funding history is approximately $30,000 in pre-seed capital reported in early 2025, plus the undisclosed-amount equity stake acquired by Vertical AI in August 2025. Earlier funding came from Levangie's own resources. The funding profile is small relative to peer agentic-AI startups, with industry coverage characterizing the company as an example of infrastructure-layer AI R&D pursued at unusually small scale.

Reported deployment domains for the Cognitive Agentic Framework include patent law, climate-focused venture-capital research, construction and robotics, and enterprise software. Specific named customers have not been broadly publicly disclosed. The company has been featured in F50 Physical AI Summit demonstrations and in industry analyst coverage that has emphasized the unusual founder-driven scale and the cognitive-architecture framing.

Notable contributions

• Cognitive Agentic Framework (CAF). Proprietary architecture for adaptive, self-directed AI agents. Combines autonomous reasoning loops, episodic memory, neuro-symbolic processing, and an "Agent-Creation Agent" that designs new agents for specific domains.
• Living Knowledge Graph System. Integrated into the Vertical AI platform through the August 2025 partnership. Provides continuously-expanding knowledge representation across multiple data types without retraining.
• Agents-scaling-agents deployment. Demonstrated on Akash Network, where AI systems autonomously provision additional compute as workload demand increases.
• Levangie Labs founding. Founder of the small AI research company in San Francisco, with reported deployments across patent law, climate-focused VC research, construction and robotics, and enterprise software domains.
• Open-source artifacts. Some research artifacts available through Levangie's GitHub and Hugging Face profiles.

Position in the field

As of May 2026, Levangie occupies an unusual position as the founder of a small AI infrastructure-and-cognitive-architecture company that has nonetheless secured platform partnerships and reported enterprise deployments at a small team scale. The combination of an atypical career arc starting from age 13, the Cognitive Agentic Framework's distinctive technical framing, the Vertical AI partnership, and the Akash Network deployment produces a profile that does not match the typical 2025-vintage agentic-AI peer set on either funding scale or team composition.

Industry coverage has characterized Levangie Labs as an example of infrastructure-layer AI R&D pursued at small scale, with the founder's age and career arc as a notable narrative element. The principal strategic-execution risks identified are the small team scale relative to the breadth of reported deployments, the dependence on platform partnerships for distribution leverage, and the competitive pressure from larger agentic-AI startups with substantially larger funding bases.

Outlook

Open questions over the next 6 to 18 months:

• Future fundraising. Whether the company raises a priced seed or Series A round, and at what valuation, given the small disclosed funding to date.
• Partnership depth. Continued depth of the Vertical AI partnership and any expansion of the Living Knowledge Graph System integration.
• Customer disclosures. Named enterprise customer disclosures and revenue trajectory from the reported deployment domains.
• Senior team scale. Senior team hiring beyond the founder, given the small disclosed team relative to reported deployments.
• Public output. Continued maturation of the Cognitive Agentic Framework's research-and-engineering output, including any peer-reviewed publications or open-source releases.

Sources

• Levangie Laboratories official site. Company reference.
• Brayden Levangie on LinkedIn. Founder reference.
• Brayden Levangie on GitHub. Open-source artifacts.
• Levangie Laboratories on X. Company X account.
• Brayden Levangie on X. Founder X account.
• Horses for Sources: How a twenty-year-old is forcing enterprises to rethink automation. Founder profile and company background.
• Akash Network: Why Levangie Labs Chose Akash to Power the First Semi-Autonomous AI Organization. Decentralized-compute partnership.
• Yahoo Finance: Vertical AI acquires equity stake in Levangie Labs. Platform-partnership announcement.
• Vertical AI acquires equity stake in Levangie Labs. Manila Times newswire coverage of the partnership announcement.