With Deepak Maram, Applied Cryptographer at Sui

In this episode, we spoke with Deepak Maram from Mysten Labs about Sui’s cryptography-driven roadmap and products. Main topics we discussed:

• • ZKLogin, a privacy-preserving login system using OpenID and zero-knowledge proofs, now powering millions of transactions
  • How Sui integrates ZK features at the protocol level for UX, scalability, and performance
  • Walrus and Seal, new infrastructure for decentralized storage and programmable secret management
  • The role of Sui’s research team in bridging applied cryptography and real-world products

• 
  

  Links

  Sui Website: https://sui.io/

  Sui Research: https://sui.io/research

  Sui Twitter/X: https://x.com/SuiNetwork

  Deepaks' Twitter/X: https://x.com/mskd96

  Walrus: https://www.walrus.xyz/

  
  

  YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@ingo_zk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

  GitHub: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://github.com/ingonyama-zk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

  LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/ingonyama⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

  Join us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.ingonyama.com/career⁠⁠⁠⁠⁠⁠

With Anna Rose, creator of Zero-Knowledge Podcast, Zero-Knowledge Validator, zk Summit and zkHack and more

In this episode, we spoke with Anna Rose about building the Zero Knowledge Podcast, ZK Summit, and ZK Hack. Main topics we discussed:

• How a side project at Parity evolved into the leading podcast in ZK

• The origins of ZK Summit and its one-day format

• Launching ZK Validator and its transition from staking to proving and investing

• Anna’s method for navigating technical interviews and staying on the edge of the space

• Why 2025 might be the breakout year for ZK applications and user-facing tools

Links

Anna's Twitter/X: https://x.com/AnnaRRose

Sign up for zkSummit: https://www.zksummit.com/

ZKV Website: https://zkv.xyz/

YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@ingo_zk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

GitHub: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://github.com/ingonyama-zk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/ingonyama⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Join us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.ingonyama.com/career⁠⁠⁠⁠⁠⁠⁠

With Lukas Helminger, CEO and Co-founder & Lukas Gotz, Product lead and Co-founder at Taceo

In this episode, we spoke with Lukas Helminger and Lukas Götz from Taceo about their novel architecture combining MPC and ZK. Main topics we discussed:

With DC Builder, Research Engineer at World Foundation

In this episode, we spoke with DC Builder from Worldcoin’s World Foundation about building identity infrastructure for the age of AI. Main topics we discussed:

• How World is designing tools like World ID and the Orb to verify real humans in a privacy-preserving way
• The architecture behind the World App, smart accounts, and Worldchain
• A breakdown of their grants program and highlights
• Their new client-side ZK stack to enable privacy-preserving proofs on low-end phones
• partnerships in gaming and beyond
• Privacy and compliance challenges around biometrics, and how MPC and ZK are used to address them

Links

World's Website: https://foundation.world.org/

World's Twitter/X: https://x.com/worldcoinfnd

DC's Twitter/X: https://x.com/DCbuild3r

YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@ingo_zk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

GitHub: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://github.com/ingonyama-zk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/ingonyama⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Join us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.ingonyama.com/career⁠⁠⁠⁠⁠⁠

With Lisa Akselrod, DevRel and Technical Writer at Aztec

In this episode, we met with Lisa Akselrod from Aztec to dive into how they’re building a fully decentralized, privacy-first Layer 2. Main topics we discussed:

• How Noir lets developers write apps with both private and public logic
• The role of client-side proving and what it enables, from privacy to performance
• Aztec’s early commitment to decentralization and its implications for the network
• Developer tooling, onboarding, and upcoming milestones like the public testnet
• Use cases developers are exploring, including private DeFi, identity, and more creative directions

• 
  

  Links

  Aztec's Website: https://aztec.network/

  Aztec's Twitter/X: https://x.com/aztecnetwork

  Sandbox: https://aztec.network/sandbox

  
  

  YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@ingo_zk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

  GitHub: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://github.com/ingonyama-zk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

  LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/ingonyama⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

  Join us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.ingonyama.com/career⁠⁠⁠⁠⁠

  
  

  
  

  
  

  
  

  
  

  
  

With Esli, Head of product and ecosystem at Marlin

In this episode, we met with Esli from Marlin to explore their work at the intersection of verifiable compute and trusted execution environments (TEEs). Main topics we discussed:

• Marlin’s evolution from network-layer optimizations to a confidential computing layer.
• Kalypso, a ZK proof marketplace supporting private inputs and TEE-based proving.
• Oyster, a framework for easily deploying applications and AI agents in TEEs.
• TML (TEE Machine Learning) as a faster, more practical alternative to ZKML.
• Use cases like decentralized frontends, verifiable AI, and secure key management.
• Challenges and mitigations around TEE trust, side-channel attacks, and reproducibility.

With Michael Dong, Co-founder at Brevis Network

• This week, we spoke with Michael Dong, co-founder of Brevis, about their vision for efficient, verifiable off-chain computation using ZK. Key takeaways include:

• The role of Pico, Brevis’ modular ZKVM that integrates with their coprocessor to optimize performance and scalability.
• ZK for interoperability, exploring the challenges and trade-offs of using ZK for cross-chain validation.
• Practical use cases, including dynamic DeFi applications, automated token distribution, and verifiable AI inference.
• AI meets ZK, leveraging verifiable machine learning to ensure trust in AI-powered financial automation.
• The road ahead, focusing on optimizing ZK proving costs, integrating with DeFi and RWA projects, and pushing for real-world adoption.

Links

Website: https://brevis.network/

Pico Docs: https://pico-docs.brevis.network/

Brevis Twitter/X: https://x.com/brevis_zk

YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@ingo_zk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

GitHub: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://github.com/ingonyama-zk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/ingonyama⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Join us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.ingonyama.com/career⁠⁠⁠⁠

With Ismael Hishon-Rezaizadeh , Founder and CEO at Lagrange Labs

• This week, we spoke with Ismael from Lagrange about DeepProof, their groundbreaking ZKML prover, and how it’s reshaping verifiable AI. Key takeaways include:
• DeepProof’s breakthrough performance, making ZKML many times faster than existing solutions, enabling real-world AI verification.
• The intersection of ZK and AI, using proofs to ensure trust, safety, and privacy in machine learning models.

• Expanding the design space, from DeFi automation and natural language wallets to provable medical diagnostics and AI governance.
• Scaling verifiable compute, leveraging Lagrange’s Prover Network to bring ZKML from theory to production at global scale.
• The long-term vision, where every AI model, from financial automation to AGI, runs with cryptographic guarantees of security and correctness.

Links

Lagrange Website: https://www.lagrange.dev/

Read more about DeepProve: https://www.lagrange.dev/blog/announcing-deepprove-zkml

Lagrange's Twitter/X: https://x.com/lagrangedev

Ismael's Twitter/X: https://x.com/Ismael_H_R

YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@ingo_zk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

GitHub: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://github.com/ingonyama-zk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/ingonyama⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Join us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.ingonyama.com/career⁠⁠⁠⁠

With Sachin Kumar, co-founder of ZKP2P

• This week, we spoke with Sachin Kumar, co-founder of ZKP2P, about building a fast, trust-minimized, and composable peer-to-peer on-off ramp protocol. Key takeaways include

With Howard wu, co-founder of Aleo and CEO of Provable

• ​This week, we spoke with Howard Wu, co-founder of Aleo and CEO of Provable, about building the foundations for decentralized privacy-preserving applications. Key takeaways include:
• ​Aleo’s privacy-first Layer 1, designed to enable private smart contracts by default, overcoming the transparency limitations of Ethereum.
• ​Developer tools and ecosystem, including the Leo programming language, SDKs, and privacy-preserving wallets that enable seamless integration of ZK applications.
• ​Trade-offs in building a private blockchain, balancing speed, usability, and compliance while ensuring robust security for users.
• ​ZK for compliance, offering tools like view keys and selective disclosure mechanisms to enable regulatory-friendly privacy solutions.
• ​Applications and ecosystem growth, spanning ZK-powered DeFi (ZeFi), private identity verification, confidential transactions, and even hidden-state gaming.
• ​AI and ZKML, exploring how ZK can enable provable AI agents, decentralized inference, and privacy-preserving machine learning on-chain.
• ​Hybrid consensus design, combining proof-of-work incentives with proof-of-stake for long-term sustainability.
• Future roadmap, focusing on hardware acceleration for ZK proofs, governance evolution, and expanding privacy solutions beyond blockchain.

Links

Howard Wu's Twitter/X: https://x.com/1HowardWu

Provable's Twitter/X: https://x.com/ProvableHQ

Aleo's Twitter/X: https://x.com/AleoHQ

Learn more:

https://aleo.org/blog/

https://provable.com/blog

https://aleo.org/grants/

YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@ingo_zk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

GitHub: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://github.com/ingonyama-zk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/ingonyama⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Join us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.ingonyama.com/career⁠⁠⁠⁠