Credd
Credibility and Trust, Quantified
Credibility and Trust
Credd sets out to address two of the most relevant topics of our time - credibility and trust - in persons, AIs, information, organizations, devices, systems.
Credibility and trust are critical to the global economic system: fraud and cybercrime alone result in trillion dollar losses. The recent emergence of Gen AI will accelerate the growth of these problems.
Quantifying Trust
Credd focuses on the predictability aspect of trust - observing patterns of behavior, and creating trust metrics to quantify past and expected future behavior. These provide insights into trust and credibility. Credd builds a model of interactions between entities, and extracts metrics from this model. These metrics will expand and evolve over time as the model and algorithms evolve.
What are trust metrics?
Credd algorithms evaluate patterns of behavior, to quantify uncertainty and risk in interactions.How are trust metrics created?
Algorithms and AI are used to create trust metrics that describe specific traits, such as for example reputation: What is the social standing of this person? Or loyalty: Can I expect this AI to act in my interest?)Who can you trust?
This question has no unambiguous answer, but instead has multiple interpretations. Can I trust you to:
- Perform at work every day?
- Follow applicable laws and regulations?
- Behave in a manner that my moral compass approves of?
- Act in my best interests?
Is Information Credible?
Information credibility can no longer be derived from looking at the information itself; consider fake news, synthetic AI images and videos etc, the arsenal of scams and desinformation. To evaluate credibility and fidelity of information it’s necessary to look at where the information is sourced. Attribution and provenance plays a significant role in understanding credibility. Who or what is the source of the information? Is the source credible? Can the source be trusted? The obvious conclusion then is that for trust in information and information sources we need trust in entities - people, AIs, etc.
Technically, what is Credd?
The core product of Credd is an application API enabling apps, systems and AIs to be trust-aware. App developers can join the Credd app community to leverage metrics of credibility and trust.
Join Us in Shaping a Trustworthy Digital Tomorrow
The Credd developer portal is currently in closed beta, and will be publicly available soon.If you are interested in leveraging credibility and trust metrics in your app then join our waitlist!
Team
Lars has an extensive background in engineering and innovation leadership with tech startups, within analytics, imaging, maps, industrial IoT, and more.Lars Vinberg
Erik Starck has helped companies of all sizes connect the dots between strategy and action. He builds the startups that make up the operating system for work in the 21st century at BootstrapLabs.Erik Starck
Daniel Riedel, a venture capitalist and seasoned cybersecurity expert, joins our team as an Advisor with a wealth of experience in developing secure and innovative platforms. With a notable history as the founder and CEO in the cybersecurity market, he has consistently driven advancements in the fields of DevSecOps and data security, making him an invaluable asset in building our trust platform.Daniel Riedel
Leigh Anne Miller is a tech leader with expertise in AI solution architecture, analytics engineering, and product leadership with experience ranging from concept-stage startups to Fortune 50 enterprises, consistently beating revenue and cost savings targets for over a decade.
Jeremy Geiger has helped more than 100 early-stage startups accelerate their growth, close their venture funding, bring new products to market, establish corporate partnership and alliances, and find new successful customer business models.
Aleksandar Savic is a seasoned engineer who has expertise in both FAANG companies and startups, specializing in leading product development during the early stages.
Join Our Waitlist!
Be one of the first to experience Credd.