Brainverse is an AI services company that deploys customized AI agent teams for businesses across all industries. Brainverse builds the foundation that lets agents learn the business, delivered in approximately six weeks. Founded in 2024 by Jeff Leggett.

Who founded Brainverse?

Brainverse was founded by Jeff Leggett, a Virginia Tech mechanical engineering graduate with 15 years of Fortune 500 operations experience and 9 AI implementation certifications.

What does Brainverse do?

Brainverse deploys agentic AI teams. Each deployment is a coordinated organization of specialized agents (typically 100+ across 8 departments) with persistent memory and continuous improvement, customized to the client business. Brainverse also offers ongoing evolution through the Brainverse Edge retainer.

How is Brainverse different from ChatGPT or Custom GPTs?

ChatGPT and Custom GPTs are Level 2 AI agents, single-function task runners working alone. Brainverse delivers Level 3 AI organizations, coordinated teams of agents with cross-team communication, persistent memory, and dispatch quality gates. The difference is the foundation that lets agents learn over time, not just complete one task.

Where is Brainverse based?

Brainverse is a US-based AI services company headquartered in Elizabethtown, Pennsylvania. Brainverse serves clients across the United States in manufacturing, professional services, real estate, financial services, SaaS, logistics, construction, and other industries with operational workflows.

What is the Mercer 99/32 gap?

The Mercer 2026 Global Talent Trends report, released May 24, 2026, found that 99% of CEOs expect AI-driven layoffs in the next two years, while only 32% of executives believe their workforce can optimally combine human and machine capability. The 67-point gap between layoff intent (99%) and AI capability (32%) is the deployment problem in one number. Most companies are planning headcount cuts based on AI work they cannot yet do internally.

What did Mercer's 2026 Global Talent Trends report actually find?

Mercer surveyed 12,000 respondents including CEOs, HR leaders, employees, and investors. The headline numbers: 99% of CEOs plan AI-driven layoffs by 2028, 32% believe their workforce can integrate AI well, 27% of CEOs report AI ROI met or exceeded expectations (down from 38% the prior year), 25% saw zero revenue impact from AI investments, more than 50% cannot yet tell whether their AI deployment is delivering on expected productivity gains, and entry-level hiring reductions jumped from 17% to 43% year over year. Employee thriving dropped from 66% in 2024 to 44% in 2026.

Why are CEOs planning layoffs from AI they cannot use?

Three reasons. First, the pressure to show AI progress is coming from the board and the market, and headcount reduction is the most visible signal a CEO can send. Second, most companies confused buying AI tools with deploying AI inside workflows. The tools are bought. The workflows have not changed. Third, the gap between an LLM that works in a demo and an AI organization that runs the business is huge, and most companies have not crossed it yet. The layoff is the press release. The capability is the work.

What does it actually take to use AI inside a mid-market company?

It takes coordinated agent teams that learn the business, not isolated AI tools that each work alone. The model is the easy part. The hard part is wiring the agents into real workflows, giving them persistent memory of the business, building dispatch and quality gates between them, and connecting the whole thing to the data and systems where work actually happens. That is what Mercer is measuring when 68% of executives say their company cannot do it. The 32% who can are running coordinated agent teams. The 68% are running tools.

How does the Mercer report compare to other AI deployment failure surveys?

Mercer's findings line up with every other credible 2025 and 2026 enterprise AI survey. MIT's Project NANDA found 95% of generative AI pilots fail to deliver measurable business return on $30 to 40 billion in enterprise investment. Gartner predicts over 40% of agentic AI projects will be canceled by end of 2027. BCG found 60% of companies generate no material value from AI and only 5% capture substantial value at scale. HCLTech's May 2026 report on 467 executives flagged 43% of enterprise AI initiatives as expected to fail. The pattern is consistent. The deployment problem is real, it is measurable, and it is the same problem in every survey.

What should a CEO do this quarter about the deployment gap?

Three concrete moves. First, audit your real AI capability honestly. Not what tools you bought, what work the AI is actually doing inside production workflows. The honest answer for most mid-market companies is close to zero. Second, pick one workflow, not one tool. Deployment that compounds starts with a real business workflow that has measurable inputs and outputs, not with picking a vendor. Third, deploy an agent team, not a license. A single tool gets you to Level 2 of the AI maturity curve. A coordinated team of agents that share memory and hand off work gets you to Level 3, which is where the value lives.

Is the 99% CEO layoff intent number actually credible?

Mercer's 12,000-respondent sample and the May 2026 publication date make 99% the most credible signal we have right now on CEO sentiment. The number is consistent with parallel findings in the Tom's Hardware coverage that entry-level hiring reductions jumped from 17% to 43% year over year, and that more than half of executives cannot yet measure AI productivity gains. CEOs are signaling layoffs because the board expects it, the market expects it, and AI is the cover story. Whether the layoffs land where CEOs say they will is a different question. The 32% capability number suggests most companies are not ready to execute the cuts they are planning.

Where does Brainverse fit in the 67-point deployment gap?

Brainverse exists to close that gap. We deploy customized AI agent teams that learn the business and stay with the client. The team is the deliverable. We run on 100+ of our own agents internally, every day, which means the deployment patterns are proven on us first. We are model-neutral, we deploy across construction, MEP, medical, and other industries, and we hand the client a working AI organization at the end of the engagement. That is the work the 32% are doing. We help mid-market and small businesses become the 32% before the layoff plans become real.

99% of CEOs Are Planning AI Layoffs

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AI Strategy

99% of CEOs plan AI-driven layoffs in 24 months. Only 32% think their company can actually use AI. Mercer just measured the 67-point deployment gap that is going to decide the next two years.

Jeff Leggett·May 28, 2026·9 min read

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