Gauntlet
Driving adoption and understanding of the financial systems of the future
Gauntlet generates off-chain intelligence to drive on-chain efficiency, delivering DeFi’s premier quantitative analysis to leading protocols. Our research and solutions help the industry to navigate difficult decisions, identify areas for growth, and elevate DeFi as a whole.
Research Papers Published
Gauntlet specializes in advancing the industry’s understanding of crypto-native economics
Client Assets Protected
DeFi’s critical infrastructure relies on Gauntlet's expertise and recommendations
Platform Data Points
Powerful predictive capabilities for risk management and pattern-matching
Quantitative insights reveal the optimal path forward
Our values permeate everything we do for our clients.
Safety
Critical financial infrastructure can’t afford missteps in a competitive, dynamic industry. Our work guides protocols in evaluating risk responsibly.
Rigor
The frontier of finance requires analysis that is precise, methodical, and diligent in understanding and utilizing economic risk.
Innovation
Commitment to R&D allows us to understand novel risks in a rapidly developing industry — before they can adversely impact our clients.
Efficiency
Battle-tested quantitative techniques from TradFi are inherent in our modeling. Balancing capital efficiency and healthy risk is in direct conjunction with client return.
The Gauntlet difference
A unique combination of expertise, tooling, and scalability
Our researchers are dedicated to understanding novel risks before they can impact our clients, ever-improving our models and methodologies with the industry’s latest research.
Gauntlet has published 27 papers, receiving over 1,000 citations, and has developed robust models for virtually every primitive in DeFi.
Our purpose-built infrastructure updates over 400 million data points each day, across over a dozen L1s and L2s.
Our system refreshes six times per day, ensuring fresh data feeds all modeling and simulation work.
Our battle-tested techniques from quantitative finance and high-frequency trading bring mathematical rigor to exploring the impacts of protocols' strategic and operational decisions.
We employ quantitative optimization to validate conclusions throughout our simulation, analysis, and recommendation process.
Our team of data scientists, Solidity engineers, economists, and high-frequency trading veterans are from the world’s top financial firms and academic institutions.
We monitor markets 24/365 and are committed to protecting and openly communicating with our clients.
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Research
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Learn more about our work
Our team
Meet the people driving adoption and understanding of the financial systems of the future.
Previously economic consulting with expertise in finance, tech, pharma, and heavy industry
Previously engineering and DS at Microsoft and PayPal, pre-IPO at MongoDB, engineering fellow at Kleiner Perkins
Quantitative finance at Jane Street, GTS, and U.S. SEC
Previously quantitative research at Citadel
Previously dynamic pricing algorithms at Sonder and Gametime
Previously quantitative research and data science at NYC Criminal Justice Agency
Previously data DRI lead at Coinbase Wallet
Previously strategy and special projects at OKX, Office of the CEO
Previously software engineering at LinkedIn
Previously ML and engineering at Primer AI, Robinhood, Facebook, and Airbnb
Previously ML at Bloomberg, PhD in chemical engineering
Previously data science projects at Polychain
Previously commodities strategist at Goldman Sachs, ML and engineering at DoorDash
International ETF trading in RBC's Quantitative Strategies Group
Previously web3 design leader at Airfoil, design leader at Autozen
Previously Product Manager, Trading Bitso and Product Manager, Fintech at Zillow
Previously a management consultant with expertise in banking, international development, and eCommerce
Previously cofounder of Question Hub at Google
Previously product and onchain strategy at 21Shares, financial services at EY
Previously WX Associate Director at Kepler Group, Facilities Manager at BetterCloud
Previously recruiting at Gemini and DigitalOcean
Previously Sales engineering lead at Maven, growth analyst at NYTimes
Previously Point72 Asset Management and Raymond James
Previously management consultant at McKinsey and Deloitte
Previously partnerships and BD at OnDeck Capital, Brigit, and Square
Previously recruiting and DEI at Brex and Tinder
Previously Financial Institutions Group at Goldman Sachs
Previously Head of Content at Gemini, senior fintech reporter at Law360
Previously special situations and credit at BlackRock and JP Morgan, investment banking at Perella Weinberg
Previously tax compliance at Forever 21, HNWI tax services at EY
Previously digital assets legal and regulatory counsel working across TradFi, fintech, and Fortune 100s
Previously product, engineering, and operations at Microsoft, GS, and a few start-ups
Previously HFT and PM at GETCO and 3Red, Uber ATG (autonomous vehicles)
Previously quantitative R&D at Vatic HFT and D.E. Shaw
Previously economic consulting with expertise in finance, tech, pharma, and heavy industry
Previously engineering and DS at Microsoft and PayPal, pre-IPO at MongoDB, engineering fellow at Kleiner Perkins
Previously product and onchain strategy at 21Shares, financial services at EY
Previously web3 design leader at Airfoil, design leader at Autozen
Previously WX Associate Director at Kepler Group, Facilities Manager at BetterCloud
Previously recruiting at Gemini and DigitalOcean
Previously Head of BD at Tenet, Listings BD at Binance
Quantitative finance at Jane Street, GTS, and U.S. SEC
Previously GTM Lead for Commonwealth, cofounder of Everipedia
Previously quantitative research at Citadel
Previously Product Manager, Trading Bitso and Product Manager, Fintech at Zillow
Previously dynamic pricing algorithms at Sonder and Gametime
Previously Sales engineering lead at Maven, growth analyst at NYTimes
Previously Point72 Asset Management and Raymond James
Previously product, engineering, and operations at Microsoft, GS, and a few start-ups
Previously management consultant at McKinsey and Deloitte
Previously a management consultant with expertise in banking, international development, and eCommerce
Previously quantitative research and data science at NYC Criminal Justice Agency
Previously Derivatives Trading & Corporate Research at Bridgewater Associates
Previously Data Scientist (R&D) at ZebPay
Previously partnerships and BD at OnDeck Capital, Brigit, and Square
Previously data DRI lead at Coinbase Wallet
Previously ML at Bloomberg, PhD in chemical engineering
Previously strategy and special projects at OKX, Office of the CEO
Previously software engineering at LinkedIn
Previously ML and engineering at Primer AI, Robinhood, Facebook, and Airbnb
Previously recruiting and DEI at Brex and Tinder
Previously Financial Institutions Group at Goldman Sachs
Previously Head of Content at Gemini, senior fintech reporter at Law360
Previously data science projects at Polychain
Previously special situations and credit at BlackRock and JP Morgan, investment banking at Perella Weinberg
Previously HFT and PM at GETCO and 3Red, Uber ATG (autonomous vehicles)
Previously quantitative research at Brevan Howard Digital
Previously commodities strategist at Goldman Sachs, ML and engineering at DoorDash
Previously cofounder of Question Hub at Google
Previously quantitative R&D at Vatic HFT and D.E. Shaw
Previously tax compliance at Forever 21, HNWI tax services at EY
Previously digital assets legal and regulatory counsel working across TradFi, fintech, and Fortune 100s
International ETF trading in RBC's Quantitative Strategies Group
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