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ayasdi.com

Founded Year

2008

Stage

Acquired | Alive

Total Raised

$97.88M

About Ayasdi

Ayasdi combines machine intelligence with an application framework to create operational solutions for Global 500 corporations, governments, healthcare organizations and scientific research institutions around the world. Ayasdi's machine intelligence platform combines scalable compute with a patented framework for machine learning, topological data analysis to enable data scientists, and business to be more productive. Ayasdi's Envision application framework facilitates the rapid development of business-specific, intelligent applications.

Ayasdi Headquarter Location

4400 Bohannon Drive Suite 200

Menlo Park, California, 94025,

United States

650-704-3395

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Research containing Ayasdi

Get data-driven expert analysis from the CB Insights Intelligence Unit.

CB Insights Intelligence Analysts have mentioned Ayasdi in 2 CB Insights research briefs, most recently on Feb 21, 2022.

Expert Collections containing Ayasdi

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Ayasdi is included in 5 Expert Collections, including Digital Health.

D

Digital Health

8,838 items

Startups recreating how healthcare is delivered

B

Banking

1,117 items

R

Regtech

1,341 items

Technology that addresses regulatory challenges and facilitates the delivery of compliance requirements in FIs. Regulatory technology helps FIs and regulators address challenges ranging from traditional compliance and risk management to data reporting and transmission.

A

Artificial Intelligence

9,093 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.

F

Fintech

7,442 items

US-based companies

Ayasdi Patents

Ayasdi has filed 40 patents.

The 3 most popular patent topics include:

  • Machine learning
  • Dimension reduction
  • Classification algorithms
patents chart

Application Date

Grant Date

Title

Related Topics

Status

2/26/2019

7/26/2022

Dimension reduction, Machine learning, Classification algorithms, Regression analysis, Diagrams

Grant

Application Date

2/26/2019

Grant Date

7/26/2022

Title

Related Topics

Dimension reduction, Machine learning, Classification algorithms, Regression analysis, Diagrams

Status

Grant

Latest Ayasdi News

Banking Tech Awards USA 2022 Winner: Symphony AyasdiAI – Tech of the Future

Jul 7, 2022

Sponsored by Symphony AyasdiAI 7th July 2022 Symphony AyasdiAI won the Tech of the Future – Data, AI, ML & RPA category for its SensaAML solution at the Banking Tech Awards USA 2022. Artificial intelligence (AI) has come to the fore of financial services in the past few years with a myriad of case uses. One of the big success stories of AI has been in the risk and fraud arena, because AI can plough through huge volumes of data to identify patterns, things that don’t quite fit and find the needle in the haystack that gives cause for alarm. Simon Moss, Symphony AyasdiAI: AI does not look for a needle in a haystack, but rather for a needle in a stack of needles Or, as our CEO, Simon Moss, likes to say, AI does not look for a needle in a haystack, but rather for a needle in a stack of needles. Symphony AyasdiAI’s product, SensaAML, has maximised the power of AI to just that. It empowers banks and financial institutions with a complete picture of customer, third-party and user behaviour to discover crime, risk and competitive opportunity through unparalleled, predictive insights. The overall result of our interface is a reduction in false positives and the detection of risks unidentified by the incumbent TMS without overwhelming investigators with an excessive number of net new alerts. The product works simultaneously to provide automation and intelligence in the areas that need it the most. It was designed to work in parallel with existing processes and can augment current rules and thresholds, plus provide additional insights from better data mapping and discovery using AI and graph machine learning (ML). SensaAML is completely transparent, auditable, and explainable for regulatory compliance. The solution was created to deliver maximum impact on return on investment (ROI) and effectiveness while keeping the smallest footprint on management and implementation changes. This next-generation platform of ground-breaking AI and ML technology allows Ayasdi to lead the way in helping financial institutions successfully mitigate against the occurrence of criminal activity within their organisations. The timing could not be better. Financial crime is at all time high – the COVID pandemic provided the perfect opportunity for criminal actors to abuse both the economic climate and the growing number of individuals negatively impacted by the loss of employment. The net result has been a disproportionate increase in fraudulent banking activity and heightened sophistication of money laundering tactics. There was a clear need for a robust solution! In addition, the Anti-Money Laundering (AML) Act of 2020 introduced supplementary regulatory and compliance initiatives for FIs, and thus provided Ayasdi with the ideal scenario to showcase the SensaAML solution and the vast benefits it brings to satisfying these obligations. This solution combines graph machine learning, behaviour maps, inference relationships, longitudinal behaviour and risk in a single orchestration to discover the DNA of complex financial crime. SensaAML is a cloud-native, microservices and application programming interface (API) oriented design, a holistic solution with built-in integrations for case management systems and other tools. With the wealth of investments financial institutions have made in existing AML and fraud technologies, we fully understand that “rip and replace” is not a viable option for most of them. This philosophy lies at the heart of the development of SensaAML to create a platform to work alongside legacy transaction monitoring systems. In addition, the lightweight and agile nature of our system means implementation times are significantly reduced (typically three months) to ensure a quick and seamless ROI is delivered. During our initial implementations, we have generated impressive statistics that prove the efficacy of our solution. We’ve achieved a 20% increase in L3 detection, up to 90% accuracy in new risk detection, risks can be identified up to a year earlier, and there’s been a 60% reduction in false positives. SensaAML has received numerous industry recognitions, resulting in a flurry of unsolicited requests for proposal (RFPs) inviting us to bid for AML solution programmes. To date, we have progressed to the proof-of-concept stage with 50% of these invitations. Our goal over the coming year is to combine them into a FRAML solution providing comprehensive risk coverage and operational effectiveness. By leveraging third-party and first-party data of banks, we can provide real-time decisioning for a frictionless customer experience and bring a key competitive advantage for our customers.

Ayasdi Web Traffic

Rank
Page Views per User (PVPU)
Page Views per Million (PVPM)
Reach per Million (RPM)
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Ayasdi Rank

  • When was Ayasdi founded?

    Ayasdi was founded in 2008.

  • Where is Ayasdi's headquarters?

    Ayasdi's headquarters is located at 4400 Bohannon Drive, Menlo Park.

  • What is Ayasdi's latest funding round?

    Ayasdi's latest funding round is Acquired.

  • How much did Ayasdi raise?

    Ayasdi raised a total of $97.88M.

  • Who are the investors of Ayasdi?

    Investors of Ayasdi include SymphonyAI Group, Floodgate, Khosla Ventures, Citi Ventures, Institutional Venture Partners and 12 more.

  • Who are Ayasdi's competitors?

    Competitors of Ayasdi include Jvion, QuantaVerse, Palantir Technologies, Centrifuge Systems, Versive and 8 more.

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