Experienced operator + agentic AI. Embedded in your team.

An AI-Augmented Operator on Your Team

An experienced human operator — augmented by agentic AI systems — embedded directly in your team. You get senior-level judgment driving strategy, with AI agents multiplying execution. One person. Ten times the output.

10+ Startups built & scaled
$120M+ Venture funds designed
18 Academic publications
2 Granted patents

You Don't Need Another Slide Deck

01

Strategy Without Execution

You've paid for roadmaps and frameworks that sit in shared drives. Nobody builds. Nothing ships. Your team is stuck between "what to do" and "how to get it done."

02

Deep Tech That Can't Commercialize

Breakthrough science that can't find market fit. IP that's defensible but unmonetized. The gap between lab and market is where most deep tech ventures die.

03

No Capacity for BD & Partnerships

You know growth requires outbound execution — business development, partnerships, channel strategy. But your team is heads-down on product with no bandwidth to drive it.

Human Judgment. AI Execution.

You're not hiring a tool. You're not hiring a consultant. You're adding an experienced operator to your team — one who comes equipped with AI agents that handle the heavy lifting. The human sets strategy, builds relationships, and makes judgment calls. The AI systems run outreach, manage pipelines, and process data at scale. Together, they operate as a single AI-augmented team member.

The Human: Experienced Operator

A venture builder, scientist, and commercialization expert who joins your standups, owns deliverables, and makes the judgment calls that AI can't — partner selection, strategic positioning, stakeholder navigation. This is the thinking and relationship layer.

The AI: Agentic Execution Systems

Custom AI agents that the operator builds, deploys, and directs — handling outreach at scale, managing CRM pipelines, gathering market intelligence, and qualifying leads automatically. This is the throughput layer. One person's judgment, amplified by AI, delivering the output of an entire team.

The Edge: Science + Venture + AI

With a PhD in Chemistry, venture building experience, and hands-on AI systems expertise, this combination lets one operator bridge research and market, strategy and execution, human insight and machine scale.

Xiao Zhong

Founder & CEO

An operator who's built and scaled ventures from the inside — now augmented by the agentic AI systems he builds and runs.

Venture & Execution
  • Former Principal at Mach49 (venture studio / venture investing)
  • Designed/restructured venture funds with ~$120M AUM
  • Built and scaled 10+ AI and deep tech startups
  • Former Lux Research (deep tech intelligence)
  • Worked with Fortune 500s, startups, and global innovation teams
Scientific Foundation
  • PhD in Chemistry (materials science focus)
  • MS in Biotechnology
  • 18 published academic articles
  • 2 granted patents
  • Cross-domain: AI, biotech, materials, energy, manufacturing

This combination — venture builder + scientist + operator + AI systems builder — means you get one person who understands your technology, knows how to commercialize it, and brings AI-powered execution capacity that multiplies every hour of work.

Operator + AI Across Every Engagement

Every service combines human operator judgment with agentic AI execution. You get strategic thinking and scaled output in one package.

01

Growth & Partnerships

For startups needing traction

The operator identifies strategic targets and builds relationships. AI agents run personalized outreach at scale, manage follow-ups, and keep your pipeline moving — so one person delivers the BD output of a full team.

  • Human: Strategic partner identification, relationship building, deal closing
  • AI: Automated outreach sequences, follow-up management, pipeline tracking
  • Revenue opportunity identification & go-to-market execution
Outcome: Qualified pipeline, signed partnerships, revenue momentum
02

Agentic Revenue Engine

For teams needing execution leverage

The operator designs your revenue strategy and configures the systems. AI agents then run them continuously — generating leads, qualifying prospects, and managing your CRM while the operator monitors, adjusts, and handles high-value conversations.

  • Human: Revenue strategy, system design, high-value prospect engagement
  • AI: Automated outreach (email + LinkedIn), lead scoring, CRM updates
  • Market intelligence gathering and real-time pipeline surfacing
Outcome: Self-running pipeline generation at 10x manual throughput
03

Commercialization Sprint

For deep tech / IP-stage ventures

The operator brings deep tech commercialization judgment — evaluating market fit, running expert interviews, and building the roadmap. AI agents accelerate the research: scanning patent landscapes, analyzing competitors, and synthesizing market data at speed no manual process can match.

  • Human: Expert interviews, strategic judgment, roadmap design
  • AI: Patent landscape analysis, competitive scanning, market data synthesis
  • Voice-of-customer validation and phased commercialization roadmap
Outcome: Validated market path with sequenced milestones tied to investment triggers
04

Venture Opportunity Assessment

For investors & corporate innovation

The operator applies scientific and commercial judgment to evaluate opportunities. AI agents do the heavy research — technology scouting, landscape mapping, and competitive analysis — so diligence that used to take weeks gets done in days with deeper coverage.

  • Human: Scientific assessment, commercial viability judgment, thesis framing
  • AI: Technology scouting, landscape mapping, competitive data gathering
  • Investment thesis validation and execution sketch
Outcome: Clear go/no-go with defensible rationale and execution sketch
05

AI-Enabled Operations Build

For mid-market companies scaling up

The operator audits your workflows and identifies where AI can remove bottlenecks. Then builds and deploys the agentic systems — and trains your team to own them. You get the operator's process expertise and production-grade AI tools that keep working after the engagement ends.

  • Human: Operations audit, workflow design, team enablement
  • AI: Custom agentic systems built and deployed for your specific workflows
  • Full handoff — systems your team owns, not dependency on us
Outcome: Production-grade AI systems your team owns and operates independently

Built for Teams That Execute

Deep Tech Startups

Pre-seed to Series B companies with defensible technology that need traction — BD, partnerships, go-to-market, and commercialization support.

Need: An AI-augmented operator who can execute from day one

Mid-Market Companies

Companies with revenue that need to scale operations through AI — automating outreach, building pipelines, and freeing teams from manual work.

Need: One operator + AI systems that replace manual bottlenecks

Venture Studios & Corporate Innovation

Investment teams and innovation labs that need rigorous opportunity assessment, IP sourcing, and commercialization diligence for build-or-invest decisions.

Need: Scientific + commercial judgment augmented by AI-powered research

From Lab to Market

Most deep tech companies fail not because the science is wrong — but because the path to market is unclear. An operator with scientific training and venture building experience bridges that gap — while AI agents accelerate the research, scanning, and analysis that used to take months.

University IP Sourcing

Identifying and evaluating licensable technologies from research institutions, with the technical depth to separate breakthrough from incremental.

Commercialization Assessment

Structured evaluation of technical feasibility, market fit, competitive positioning, and pathway to revenue — not just TAM slides.

Venture Ideation

Translating scientific capabilities into venture-backable business models with clear value propositions and defensible moats.

Opportunity Diligence

Deep technical and commercial due diligence for investment committees, combining materials science expertise with market analysis.

Domain Expertise
Artificial Intelligence Advanced Materials Biotechnology Energy Systems Manufacturing Additive Manufacturing MedTech Climate Tech HealthTech Life Science

One Operator. AI-Augmented.

You add one person to your team. That person brings an arsenal of AI agents. Together, they deliver what used to require a department.

The Human Layer

An experienced operator embedded in your team

  • Joins your Slack, attends your standups, owns deliverables
  • Makes the judgment calls: strategy, partner selection, stakeholder management
  • Direct access to founder/CEO — no account manager layer
  • Brings deep tech + venture experience to every decision
The AI Layer

Agentic systems the operator builds, runs, and directs

  • Custom AI agents for outreach, research, and pipeline management
  • Automated lead generation and qualification at scale
  • Market intelligence gathering in real-time
  • CRM systems that update themselves and surface insights

The operator decides what to do. The AI agents do it at 10x speed. This isn't "we use ChatGPT" — these are production-grade systems, custom-built and running in real workflows.

1
Discovery Call

30-minute conversation to understand your situation, goals, and constraints. No pitch — just listening.

2
Scope & Proposal

Clear engagement structure with defined outcomes, timelines, and deliverables. You know exactly what you're getting.

3
Embed & Execute

We integrate into your workflow and start driving results — building systems, running outreach, closing deals.

4
Transfer & Scale

We build systems your team owns. The goal is capability, not dependency.

Execution in Action

Deep Tech Commercialization

AI-Driven High-Temperature Aluminum Alloys for Additive Manufacturing

Series A Materials Science Startup

Challenge

A Series A company developing high-temperature aluminum alloys for metal additive manufacturing had demonstrated technical feasibility with their AI-driven materials platform — but needed structured market and application prioritization to chart a path to commercialization.

What We Did

Using a performance-overlap framework, we evaluated alloy innovation pathways and mapped them against near-, mid-, and long-term market opportunities. Through expert interviews and value-chain analysis, we identified that the core commercialization risk lay in unclear customer pain points — specifically whether aluminum alloys could meaningfully displace incumbents like Ti-6Al-4V in aerospace and defense.

Outcome

We delivered a phased development roadmap tied to validation milestones — emphasizing early voice-of-customer interviews, IP strategy, MVP alloy demonstrations, and staged go-to-market options. Near-term opportunities were identified in low-volume production and supply chain de-risking, with longer-term upside in regulated industries.

Market & application prioritization framework
Phased roadmap with validation milestones
Staged go-to-market aligned with R&D investment

Xiao brought exceptional expertise and analytical skills to the project, helping us evaluate market size and opportunities and refine our strategic direction. His ability to map stakeholders, perform competitive analysis, and estimate market size was invaluable in shaping our business strategy.

Beyond his technical skills, Xiao's collaborative nature and clear communication made him an indispensable part of the team. I wholeheartedly recommend Xiao to any organization seeking a skilled operator who can drive strategic outcomes.

BM
Brian McCarthy CEO, Clench Relief, Inc.

Thinking & Writing

Perspectives on deep tech commercialization, AI-enabled operations, and building ventures from science.

Deep Tech

Why Most Deep Tech Startups Die in the Valley of Commercialization

The gap between "technically feasible" and "commercially viable" kills more deep tech ventures than bad science ever does.

Coming soon
Agentic Systems

Building AI Agents That Actually Generate Pipeline

What production-grade agentic outreach looks like — and why most "AI-powered" sales tools fail.

Coming soon
Operations

The AI-Augmented Operator: Why One Person + AI Beats a Team of Five

How combining experienced human judgment with agentic AI systems creates a new model for execution — and why it works better than hiring.

Coming soon

Common Questions

It means you add a seasoned operator to your team — someone who joins your Slack, attends your standups, and owns deliverables. The difference is this operator comes equipped with AI agentic systems that multiply their output. You get the strategic judgment of an experienced hire and the execution throughput of an AI-powered team, in one engagement.

The operator builds and directs custom AI systems (agents) that handle high-volume, repetitive work — sending personalized outreach to 500 leads, monitoring market signals, keeping your CRM updated. The human decides the strategy and quality bar. The AI agents execute at scale. It's not about replacing people — it's about one experienced person being able to do what used to require a full team.

A consultant delivers a recommendation deck and leaves. We embed an operator in your team who drives execution — backed by AI agents that do the heavy lifting. The human stays accountable for outcomes. The AI systems keep running. You get results, not reports.

Primarily pre-seed through Series B deep tech startups, mid-market companies looking to scale through AI, and venture studios or corporate innovation teams. If you have strong technology and need execution leverage, we should talk.

It starts with a 30-minute discovery call. If there's a fit, we scope a focused engagement — typically 2-6 months — with clear deliverables and outcomes. Some clients keep us embedded longer-term as a fractional growth operator. The model flexes to your needs.

Ready to Add an AI-Augmented Operator to Your Team?

30-minute discovery call. No pitch, no slides. Just a conversation about where you are, what you need executed, and how a human + AI approach could help.

New Jersey, United States