Zyora Capital Partners LLC
Partner, Michael Chang
After graduating from Georgetown University, Michael has worked in investment banking in New York, hedge fund management in Japan, and subsequently venture capital funds in Japan and the US. He continues to invest in and serve as a board member for multiple companies in the VC space in both the US and Asia.
Michael’s leadership includes: Co-Founder, Sonar Group (multi-strategy venture & special situations fund), Managing Director, Altpoint Ventures (400m USD VC), Partner & COO, Generation Group (directional equity long/short hedge fund), Research Analyst, Joho Capital (3bn USD Asian equity long short hedge fund) and Investment Banking, Deutsche Bank.
General Partner, Jason FedderJason combines a 30 year plus track record of success leading global divisional groups and field organizations for Intel and Oracle, in AI, Cloud, Semiconductors and Data Centers across Asia, Europe, and the USA.
He combines multibillion dollar P&L management and created billions of dollars of incremental value through successful market entry, M&A, and operational execution in complex ecosystems.
As a recognized industry figure he has led Hong Kong government IT sector initiatives, lectured at Tsing Hua business school in Beijing and driven industry, technical and standards-based initiatives at the worldwide level.
AI infrastructure has turned compute, energy, industrial capacity, and specialized hardware into strategic bottlenecks. These aren't software problems solved on software timelines. They demand patient capital, technical judgment, and operators who've shipped the hard version before. Zyora is built for that cycle, not the last one.
Thesis / Credibility
Where we invest
The deep tech and infrastructure that turn complexity into advantage and utilization into value.
Investing in deep tech and the control layers of the new industrial era.
An operator-led venture firm.
Allocation, qualification, scheduling, compliance — not optimization or analytics — define Investability.
One strategy, four pillars. One economic mechanism
Compute Evolution & New Modalities
Addressable Control TAM (2026-2030) $25-50B
Optimization → Allocation → Control
Constraint: Compute efficiency, time-to-solution, thermal, capex
AI-adjacent and quantum-adjacent systems where execution-grade control layers allocate, schedule and monetize compute and resources.
Data Centers as AI Factories
Addressable Control TAM (2026-2030) $260–450B
Control → Optimization → Utilization
Constraint: Utilization, data movement, power density
Control planes that convert deployed capex, power, and bandwidth into unit-based intelligence & economics.
New Energy Imperatives
Addressable Control TAM (2026-2030) $80–120B
Power → Control → Throughput
Constraint: Time-to-power, uptime, MW reliability
Platforms that monetize power as throughput, "picks-and-shovels" over merchant project risk.
Execution-Grade AI & Automation
Addressable Control TAM (2026-2030) $1.5–2.3T
Sense → Control → Act Autonomously
Constraint: Labor, latency, execution, reliability
Deterministic execution platforms where AI is a subordinate input, embedded directly inside workflows, machines, and regulated environments.
Zyora Capital Partners LLC
Partner, Michael Chang
After graduating from Georgetown University, Michael has worked in investment banking in New York, hedge fund management in Japan, and subsequently venture capital funds in Japan and the US. He continues to invest in and serve as a board member for multiple companies in the VC space in both the US and Asia.
Michael’s leadership includes: Co-Founder, Sonar Group (multi-strategy venture & special situations fund), Managing Director, Altpoint Ventures (400m USD VC), Partner & COO, Generation Group (directional equity long/short hedge fund), Research Analyst, Joho Capital (3bn USD Asian equity long short hedge fund) and Investment Banking, Deutsche Bank.
General Partner, Jason FedderJason combines a 30 year plus track record of success leading global divisional groups and field organizations for Intel and Oracle, in AI, Cloud, Semiconductors and Data Centers across Asia, Europe, and the USA.
He combines multibillion dollar P&L management and created billions of dollars of incremental value through successful market entry, M&A, and operational execution in complex ecosystems.
As a recognized industry figure he has led Hong Kong government IT sector initiatives, lectured at Tsing Hua business school in Beijing and driven industry, technical and standards-based initiatives at the worldwide level.
AI infrastructure has turned compute, energy, industrial capacity, and specialized hardware into strategic bottlenecks. These aren't software problems solved on software timelines. They demand patient capital, technical judgment, and operators who've shipped the hard version before. Zyora is built for that cycle, not the last one.
Thesis / Credibility
Where we invest
The deep tech and infrastructure that turn complexity into advantage and utilization into value.
Building the companies behind it requires patient capital, technical judgment and the ability to move complex technologies from possibility to scale. Zyora backs founders building where technical difficulty is the moat, not the obstacle. ↓
Investing in deep tech and the control layers of the new industrial era.
An operator-led venture firm.
Allocation, qualification, scheduling, compliance — not optimization or analytics — define Investability.
One strategy, four pillars. One economic mechanism
Compute Evolution & New Modalities
Addressable Control TAM (2026-2030) $25-50B
Optimization → Allocation → Control
Constraint: Compute efficiency, time-to-solution, thermal, capex
AI-adjacent and quantum-adjacent systems where execution-grade control layers allocate, schedule and monetize compute and resources.
Data Centers as AI Factories
Addressable Control TAM (2026-2030) $260–450B
Control → Optimization → Utilization
Constraint: Utilization, data movement, power density
Control planes that convert deployed capex, power, and bandwidth into unit-based intelligence & economics.
New Energy Imperatives
Addressable Control TAM (2026-2030) $80–120B
Power → Control → Throughput
Constraint: Time-to-power, uptime, MW reliability
Platforms that monetize power as throughput, "picks-and-shovels" over merchant project risk.
Execution-Grade AI & Automation
Addressable Control TAM (2026-2030) $1.5–2.3T
Sense → Control → Act Autonomously
Constraint: Labor, latency, execution, reliability
Deterministic execution platforms where AI is a subordinate input, embedded directly inside workflows, machines, and regulated environments.
Zyora Capital Partners LLC
Partner, Michael Chang
After graduating from Georgetown University, Michael has worked in investment banking in New York, hedge fund management in Japan, and subsequently venture capital funds in Japan and the US. He continues to invest in and serve as a board member for multiple companies in the VC space in both the US and Asia.
Michael’s leadership includes: Co-Founder, Sonar Group (multi-strategy venture & special situations fund), Managing Director, Altpoint Ventures (400m USD VC), Partner & COO, Generation Group (directional equity long/short hedge fund), Research Analyst, Joho Capital (3bn USD Asian equity long short hedge fund) and Investment Banking, Deutsche Bank.
General Partner, Jason FedderJason combines a 30 year plus track record of success leading global divisional groups and field organizations for Intel and Oracle, in AI, Cloud, Semiconductors and Data Centers across Asia, Europe, and the USA.
He combines multibillion dollar P&L management and created billions of dollars of incremental value through successful market entry, M&A, and operational execution in complex ecosystems.
As a recognized industry figure he has led Hong Kong government IT sector initiatives, lectured at Tsing Hua business school in Beijing and driven industry, technical and standards-based initiatives at the worldwide level.
AI infrastructure has turned compute, energy, industrial capacity, and specialized hardware into strategic bottlenecks. These aren't software problems solved on software timelines. They demand patient capital, technical judgment, and operators who've shipped the hard version before. Zyora is built for that cycle, not the last one.
Thesis / Credibility
Where we invest
The deep tech and infrastructure that turn complexity into advantage and utilization into value.
Building the companies behind it requires patient capital, technical judgment and the ability to move complex technologies from possibility to scale. Zyora backs founders building where technical difficulty is the moat, not the obstacle. ↓
Investing in deep tech and the control layers of the new industrial era.
An operator-led venture firm.
Allocation, qualification, scheduling, compliance — not optimization or analytics — define Investability.
One strategy, four pillars. One economic mechanism
Compute Evolution & New Modalities
Addressable Control TAM (2026-2030) $25-50B
Optimization → Allocation → Control
Constraint: Compute efficiency, time-to-solution, thermal, capex
AI-adjacent and quantum-adjacent systems where execution-grade control layers allocate, schedule and monetize compute and resources.
Data Centers as AI Factories
Addressable Control TAM (2026-2030) $260–450B
Control → Optimization → Utilization
Constraint: Utilization, data movement, power density
Control planes that convert deployed capex, power, and bandwidth into unit-based intelligence & economics.
New Energy Imperatives
Addressable Control TAM (2026-2030) $80–120B
Power → Control → Throughput
Constraint: Time-to-power, uptime, MW reliability
Platforms that monetize power as throughput, "picks-and-shovels" over merchant project risk.
Execution-Grade AI & Automation
Addressable Control TAM (2026-2030) $1.5–2.3T
Sense → Control → Act Autonomously
Constraint: Labor, latency, execution, reliability
Deterministic execution platforms where AI is a subordinate input, embedded directly inside workflows, machines, and regulated environments.