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A decentralized and AI-driven stable asset

Crypto needs a truly decentralized and stable payment method. Cogito fulfills this mission with its "stablecoin-as-a-service" framework.

CGV token is live!

Tracercoins

AI-driven stable assets pegged to non-financial indices

Cogito Protocol offers a "stablecoin-as-a-service" framework to create digital assets with low volatility called “tracercoins”.

The tracercoins maintain their stability not by seeking explicit correlation to one or more specific fiat currencies or commodities, but instead via soft-pegging to non-financial indices that represent progress along various developmental fronts, e.g. environmental progress, technological progress etc.

Launch demo

Data layer

Data sources:
World Bank, United Nations, institutes etc

Data coverage:
multiple indicators measuring the environmental progress

Integrates data and aggregate to a weighted average to quantify the progress on improving the environment

AI tool layer

Green Index

Tracks positive progress towards net-zero economy, ~1-2% volatility p.a.

GCOIN

Cryptocurrency token to trace Green Index on 1:1 basis, 1st tracercoin serving as an alternative stablecoin

How Does Cogito Work?

INDEX CREATION

Constructed using a large third-party data set

Use SingularityNet AI for smooth and stable output

Incentivized community governance for index adjustment

PEG MECHANISM

Dynamic incentives, to adjust circulating supply

Open market operations using AI techniques for price prediction and market arbitrage

ACTIVE TREASURY MANAGEMENT

Reserves management to generate yield that matches the movement of the indexes

Ensure the protocol to be fully redeemable

Stabilization

In order to maintain the peg, we are introducing a novel approach to the stabilization mechanisms.

With the Capital Adequacy Ratio controlling the ratio of liquid and illiquid reserves, the Cogito project consists of three pillars of operation:

Algorithmic Deposit Protocol (ADP),
Algorithmic Stability Protocol (ASP), and
Autonomous Stabilization Functions (ASF)

and all is secured by decentralized governance in the form of DAO (AGP - Algorithmic Governance Protocol).

GOVERNANCE

AGP - allows CGV token holders to be decision makers

ALGORITHMIC
POLICY

ADP - stabilizes the protocol by adjusting supply and demand with a floating yield

PRICE
GUARDIAN

ASP - maintaining the market price within specific trading boundaries, by tracking respective indices

SMART
MINT

ASF - programmed rules that handle the minting and burning rules and adjust the reserve dynamically

COLLATERALIZATION

CAPITAL ADEQUACY RATIO

Properly simulated

Using scientific assumptions we have ran financial simulation of Cogito Protocol to test how well our model performs in challenging situations. This extensive financial modeling shows that Cogito can offer users stable deposit rewards, in addition to the annual appreciation of the tracercoins, and that the protocol is financially stable over the long term. The academic paper with these simulations is available through a link below.

Supported by decentralized AI.
Digital money reinvented.

Mute on/off

AI provided by the best

Founded within SingularityNET ecosystem, with Ben Goertzel as Chief Science Officer, and with access to many advanced AI tools developed by SNET specialists over years of working, Cogito Protocol is well equipped with AI expertise.

This allows us to use advanced reinforced learning and other AI techniques to optimize real-time stabilization mechanisms and capital deployment.

That, in turn, makes Cogito a project like no other in the cryptocurrency space.

Risk management framework

Cogito applies the highest standards of risk management schedules to ensure compliance with all applicable regulatory requirements, to safeguard users' assets properly and adequately, and to promote the best interest of users and the integrity of the market

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Security risk

Built by experienced blockchain engineers with hack-free track record

Counterparty risk

Quantitative credit rating model to assess counterparty risks for safe capital deployment

Regulatory risk

Led by former HSBC bankers with solid understanding and unparalleled experience in doing business under dynamic regulations

Operating risk

Community governance and full transparency to reduce risks from inadequate internal processes

Roadmap

1

ECOSYSTEM INTEGRATION

Trading, lending, borrowing, staking, perpetuals and the Hypercycle integration.

2

EXTENDED

PORTFOLIO

Adding more tracercoins to the ecosystem.

3

RISK-WEIGHTED RESERVE

Robust capital deployment based on capital adequacy ratio and risk profile.

4

MULTI-CHAIN PRESENCE

After starting with Cardano we will soon launch on the other chains, according to DAO.

5

USE CASES

OUTSIDE CRYPTO

The ultimate goal is to offer alternative instruments also outside of the crypto world

Meet the Team

Founded by experts in AI and finance

Cloris Chen

Chief Executive Officer

Cloris combines a banking background with DeFi and entrepreneurship. She spent 6 years at HSBC and served as treasury director for a unicorn startup. She is currently pursuing a Master’s degree in CS at the University of Pennsylvania.

Ben Goertzel

Chief Scientist Officer

Ben is a world class AI expert and a pioneer in artificial general intelligence, founder and CEO of SingularityNET.

Ben's Wikipedia page.

Janet Adams

Chief Operating Officer

Janet was an HSBC senior banker with 25 years experience in financial services. She has an unparalleled knowledge of financial markets and crypto industry. She excels at strategy and planning, and has interdisciplinary expertise in AI.

Tony Zhu

VP of Engineering

Tony, who previously served as a Tech Lead at Meta, has a cross-disciplinary experience in tech and finance. He holds a Master’s degree in computer science from Harvard and has an impressive track record of developing machine learning and infrastructure technologies

S Pin

Chief Marketing Officer

Pin has strong leadership and management experience in successful startups. Having previously worked in Binance, he has navigated the world of blockchain, fostering various marketing dimentions.

Nejc Znidar

Quantitative Analyst

Nejc was a data scientist at Zalando. He has 6 years of experience doing data intensive modeling, and has been developing cryptocurrency fintech trading and risk management models since 2017. His background is in mathematics and finance.

Partners

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SingularityDAO

Xerberus Labs

Questions? Get in Touch

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