How they describe themselves: Moxtra is a Business Collaboration service built for the Mobile Era. Business users collaborate externally and internally through conversations supported by business documents and content. The Moxtra service enables business conversations with Multilayer Document & Content Interactions. These interactions support unstructured document workflow and are bite-sized,  contextual, and on-demand. Moxtra’s capabilities are delivered as embeddable SDKs or as an application that can be white-labelled.

How they describe their product/innovation: Moxtra offers an embeddable,  omni-channel client engagement platform for financial services companies. Using Moxtra’s technology, clients and relationship managers can collaborate around documents using secure messaging, e-Signatures, voice layered over content, and real-time meetings. Moxtra is platform agnostic and is built with the mobile user in mind. The platform can be white-labeled and integrated deeply into existing workflows. Built with end-to-end encryption, it can be configured to meet any security or regulatory requirements.

Product distribution strategy: Direct to Business (B2B), through financial institutions, through other fintech companies and platforms, licensed

Contact

Bus. Dev.: Kartik Chillakanti, Product, [email protected], 510-283-3032
Press: Matthias Broner, Product Marketing, [email protected], 952-297-2047
Sales: Kartik Chillakanti, Product, [email protected], 510-283-3032

How they describe themselves: Microblink is R&D company focused on proprietary machine vision, specifically, real-time text recognition (OCR) for mobile devices. Microblink develops SDKs designed to improve UX in apps by replacing manual input. By turning a mobile camera into data catcher, Microblink offers scanning ID documents, payment slips, bills, scratch cards, TOP-UP, SIM card, VIN, etc. All solutions are simple to integrate into any app, designed to client’s needs, and work offline. The technology is based on the most advanced neural networks and machine learning to provide fast and accurate text recognition. Microblink is famous for developing Photomath app – real-time math solver that has 50M+ downloads and the first in the world that recognizes handwriting.

How they describe their product/innovation: BlinkReceipt is a real-time retail receipt scanner for mobile apps. The SDK provides extraction of all purchase data (meaning each item bought) from retail receipts in real-time. The solution runs locally on a device, has high accuracy, scales infinitely, and is the most cost-effective way to collect consumer purchase data. BlinkReceipt can be used for purchase validation, loyalty and rewards programs, consumer panels/market research, and personal finance/lifestyle management, amongst other things. Currently, SDK supports receipt scanning for the top US retailers and we plan to increase US coverage and expand internationally by the end of 2017.

Product distribution strategy: Direct to Business (B2B), through other fintech companies and platforms, licensed

Contact

Bus. Dev.: Izet Ždralović, Co-Founder & SMD, [email protected], +385 99 6000 575
Press: Nina Šuljak, Marketing Manager, [email protected], +385 99 210 1171
Sales: Tijana Žganec, KAM, [email protected], +385 95 5122 511

How they describe themselves: MedPut covers out-of-pocket medical expenses as an employee benefit.  As employers increasingly transfer healthcare costs to employees, providing employees with a low-cost source of point-of-service funds facilitates adoption of higher deductibles and saves employees from having to overuse credit cards.  MedPut reduces expenses for employers moving to high-deductible or self-insured health plans.

How they describe their product/innovation: MedPut’s OOP expense credit facility offers financing for most medical expenses at an APR below 5%.  MedPut works with medical bill negotiators to pass through cost savings to employees, pays the negotiated bill and collects repayment through payroll deductions.  We effectively transfer the risk of repayment away from provider bill collections offices or credit cards.  Enrollment and bill-pay are done in accordance with HIPAA compliance through our web application.

Product distribution strategy: Direct to Business (B2B)

Contact

Bus. Dev.: Harsha Puvvada, Head of Bus. Dev., [email protected]
Press: Lipika Swami, Head of Marketing Strategy, [email protected]
Sales: Stefan Sharma, Principal, [email protected]

OrchIS provides identity and access management (IAM) microservices using stateless APIs that bridge security and cloud enablement while reducing fraud in the financial sector. Our core technology is a continuous risk based adaptive authorization engine coupled with orchestrated remediation that leverages data security intelligence into authorization decisions fusing the risk/trust divide and allowing discrete business processes to reduce transactional risk. OrchIS uses a massively scalable distributed microservices architecture with real-time machine discovery to build complex relationships between users, devices, things, applications, locations and real time threats. Using that data we gauge transactional risk based on the who, what, why, where, when and how with a mitigation model that addresses risk changes during an active session.

Presentation

Provide Break-Through User Experience and Business Agility through Continuous Adaptive Security

Identity management has fundamentally shifted as microservices and IOT transform the meaning of business agility and user experience. OrchIS brings the microservices/API revolution to the IAM marketplace providing strong authentication, authorization and management of widely distributed users, devices, customers, things, locations, APIs, applications and their associative relationships into a transactional risk profile. This enables new disruptive features like session mobility and continuous risk based adaptive authorization that dynamically increases security and user engagement while reducing friction resulting in an increased capacity to know your customer.

What You’ll Learn

• IAM microservices provide an unparalleled level of scale and agility for managing users, devices, things, applications, customers and locations.
• Risk based adaptive authorization increases security and reduces transactional friction.
• Examples of great and secure user experiences provided by continuous risk based adaptive authorization.

Presenters

Nathanael Coffing, Co-Founder

linkedin.com/in/ncoffing

Nathanael’s extensive knowledge of the enterprise security environment has been a major driver in developing the company’s vision for the future of identity and data security. His expertise in the areas of identity and access management extends from the birth of the industry to today’s rapidly shifting landscape and standards.

Łukasz Jaromin, Director, Product Development

linkedin.com/in/łukasz-jaromin-54355647

Łukasz is an ultra scale architect with the last decade focusing on IAM. He’s the director of development at Orchis and shaped his career building massive scale projects for online transactions in the international telco and finance space.

NuCypher is a data-centric, zero-trust security and encryption platform for big data. By embedding access policies directly into encryption, NuCypher’s data-centric encryption follows data wherever it goes: across platforms (Hadoop, Kafka, Spark) and between on-premise and cloud environments.

Whether compute is happening in isolated, controlled networks or distributed, ubiquitous environments, no network is truly secure, and modern enterprises must architect their systems under the assumption that any component can be compromised at any time. Modern infrastructures are massively complex, with vulnerabilities that will eventually be exploited. Responsible enterprises must act as if they’ve already been compromised and adopt a zero-trust security model. NuCypher is leading the charge.

Presentation

Truly Secure Big Data and Cloud Environments

NuCypher is commonly used by enterprises seeking to: Move big data storage and compute to the cloud, while keeping encryption keys on-premise, Enable inter- and cross-organizational, granular sharing of data in a secure and auditable way based on existing AD/LDAP/Kerberos access policies, and Bring big data projects into compliance with internal security policies and regulatory requirements, including PCI, HIPAA, and GDPR.

In this presentation, we will review the above use cases, explain the underlying technical architecture of NuCypher, and demo the technology in action for both Hadoop and Kafka.

What You’ll Learn

• How to securely store and process big data in the cloud, while keeping encryption keys on-premise
• How to enable granular, inter- and cross-organizational sharing of data in a secure and auditable way
• How to bring big data projects into compliance with internal security policies and government regulations

Presenter

Michael Egorov, CTO

linkedin.com/in/michael-egorov-77663332 | @newmichwill | [email protected] | 408.550.3891

Dr. Michael Egorov is a software engineer and the cofounder and CTO of NuCypher. Previously, he worked on infrastructure tools at LinkedIn and as a post-doc physicist experimenting with ultra-cold atoms. He graduated from the Moscow Institute of Physics and Technology and was a bronze medalist in the 2003 International Physics Olympiad.

MapD is a next-generation database and visualization layer that harnesses the parallel power of GPUs to explore multi-billion row datasets in milliseconds. By combining a purpose-built GPU database with a powerful visualization layer, MapD is able to deliver immersive, instantaneous analytics on datasets (market, alternative, transaction, customer) previously considered too large to explore interactively.

The speed and scope of MapD’s solutions enable organizations to compete more effectively, solve more complex problems, find pockets of alpha and to manage operational risk more comprehensively.

Founded in 2013, MapD is funded by Google Ventures (GV), Nvidia, In-Q-Tel, Vanedge Capital and Verizon Ventures.

Presentation

How GPU-Powered Visual Analytics Are Remaking Financial Services

What are the ingredients for an a-ha moment in financial services where a trade is discovered, a risk exposed or a behavior illuminated? It is not luck, or fate, or even hard work. It is the intersection of tools, technology and domain knowledge.

MapD Founder and CEO, Todd Mostak will address the technical details associated with applying GPUs to the task of visual analytics. The talk will cover the database elements, the visual frontend elements and the hybrid, server side rendering required to interact with billions of rows with millisecond latency.

What You’ll Learn

• The consideration of building a GPU database. From memory management to query compilation – what components require a different perspective than standard CPU implementations.
• Why traditional visual analytics are not well suited to rendering and cross filtering multi-billion row datasets and how a GPU can be used to create a hybrid approach that delivers speed and scale.
• With a database and dataviz built on GPUs, the logical next step is data science. This talk will briefly cover how to approach the problem with the goal of persisting as much on the GPU as possible.

Presenter

Todd Mostak, Founder & CEO

linkedin.com/in/toddmostak | @ToddMostak

Todd Mostak is the founder and CEO of MapD. He built one of the first GPU databases while studying the role of social media in the Arab Spring while a graduate student at Harvard and refined it at MIT’s CSAIL before founding MapD in 2013. Todd received his undergraduate in economics and anthropology from the University of North Carolina.

Modelshop is an analytic decision platform for financial services. We enable organizations to create analytic decision services an order of magnitude faster than traditional technologies. Examples include lending origination, credit pricing, portfolio optimization, fraud prevention, and insurance claims decisioning. What makes Modelshop unique is our powerful data modeling and variable engine. We empower business analysts to create decision models as easily as creating a spreadsheet, while providing a platform that enables high-volume, low latency services that can drive mission critical decisions. By integrating predictive analytics created in R or Python, Modelshop allows financial institutions to improve the performance of their business without the hassle of building custom model deployment software.

Presentation

Create a Custom Credit Risk Model Using Modelshop

Modelshop enables financial institutions to create custom decision models in record time. In this presentation, the Modelshop team will demonstrate building a credit risk model that uses credit report details, applicant assets, and deal ratios to predict loan default rates and price a credit offer. The model will be created from scratch in 15 minutes. This is one example of how Modelshop can improve the performance of financial institutions. Our platform has created decision models for origination, fraud mitigation, portfolio optimization, roboadvisor recommendations and compliance assurance.

What You’ll Learn

• Creating custom analytic applications has become accessible to all financial services organizations, regardless of size.
• Predictive analytics can be easily integrated with business managed decision strategies, without long deployment cycles.
• A real-time analytic framework is critical to power the next generation of financial services products.

Presenters

Tom Tobin, CEO

linkedin.com/in/tomtobin | @modelshopinc | [email protected] | 973.882.0111

Tom Tobin has been creating analytic software for financial services for over 25 years, working for companies including FICO, Oracle, Fiserv, and Hewlett Packard. Tom’s vision is to make decision automation more accessible to business analysts. Tom has an electrical engineering degree from Cornell University.

James Marsh, Modeler

[email protected]

James started his career building analytic algorithms for Wall Street but has developed a passion for creating analytic applications using Modelshop. James has an MBA from Duke University’s Fuqua School of Management.

Prevoty provides visibility and protection for critical applications and data by automating intelligence and defense. Prevoty runtime application and data security delivers real-time, actionable security analytics and automated vulnerability mitigation — including the OWASP Top 10, data exfiltration and fraudulent behavior. Prevoty’s solution is installed directly within an application and travels wherever it is deployed, in the cloud or on-premises. By using Prevoty, enterprises have unprecedented visibility and correlation across network, application and database activity. These capabilities enable Global 2000 enterprises to dramatically improve remediation of vulnerabilities, enabling security and development teams to work together more effectively, even with agile release cycles.

Presentation

Using Runtime Visibility to Align Application Security with DevOps

Programming languages are becoming more powerful and capable, and applications more porous than before. Evolving constraints, patterns and definition lists make validating data inputs and preventing injections while maintaining performance unwieldy and difficult. Nobody wants vulnerabilities, but with the rise of Agile DevOps, security is usually playing catch-up.

New embedded runtime security tools coined Runtime Application Self-Protection (RASP) are enabling developers and security admins to see beyond potential vulnerabilities and identify actual attacks that hit applications in production. This talk will introduce RASP based on the LANGSEC methodology and its mission to align security and DevOps – giving both teams the visibility and automation they need to work in synchrony.

What You’ll Learn

• Discover how automated security tools can seamlessly integrate with existing Continuous Integration/Continuous Development DevOps processes
• How to gain visibility into complex, live application attacks in production and shift the paradigm from potential vulnerabilities to real threats
• How we are using runtime security to automatically neutralize 98% of vulnerabilities in production — even for legacy or third-party code

Presenter

Kunal Anand, CTO & Co-Founder

linkedin.com/in/kunalanand | @ka | [email protected]

CTO & Co-Founder of Prevoty, an application security and intelligence platform. Formerly the Director of Technology at the BBC Worldwide, overseeing engineering and ops across the company’s global initiatives. Kunal also has several years of experience leading security, data and engineering at Gravity, MySpace and Nasa JPL.

Helping financial services organizations build enterprise-grade apps fast using OutSystems’ low-code application development platform which lets you build mobile apps, web portals and mission-critical systems and visually develop your entire application.

Presentation

Low-Code, The Next Evolution in App Dev Platforms (Oh, and 5X Faster)

In this talk, we’ll share the story of a BPI – a European retail bank – who went through a major digital transformation initiative which included redesigning all their digital channels to offer their customers an onmnichannel experience. With OutSystems, they were able to completely revamp their mobile banking, internet banking, branch and contact center solutions. To implement this, BPI kicked off a development SWAT team that used design thinking, agile methodologies and low-code technologies.

We’ll share how this SWAT team was able to deliver at an extremely fast pace and kept the business involved to ensure success.

What You’ll Learn

• How we organized our cross-functional team of developers and business
• How we created development patterns that allow for a single team to work on multiple contact channels – including simple ones like an app or critical components like security
• How we defined a user experience layer and processes to ensure an amazing user experience with pixel-perfect UIs

Presenters

Nuno Silveira, IT Architect, BPI

@narsilveira

As IT Architect at BPI, Nuno is responsible for the integration of the OutSystems Platform in the development ecosystem. He worked as an IT consultant for more than 10 years and the last 3 years using the OutSystems Platform.

João Miranda, IT Manager, BPI

@jhosm

João Miranda started his career in 2000, at the height of the dot-com bubble. That enlightening experience led him to the conclusion that agile practices are the best way to respond to the business needs of almost all organizations. He currently is IT manager at BPI, part of CaixaBank, where he helps to remove all friction that may hinder development teams’ fast pace.

How they describe themselves: EarlyBird solves the problem of regulated Twitter access in financial services. Our cloud-based Twitter platform provides the complete Twitter experience that traders and analysts need, but is strictly read-only, no direct messaging, and fully recorded for compliance. EarlyBird needs no firewall changes (Twitter stays blocked), and no installation. We built EarlyBird alongside compliance and security experts, and with two years feedback from the trade floor before launch. EarlyBird has now been adopted by banks and hedge funds of all sizes including several top 10 globals.

How they describe their product/innovation: Once traders have Twitter the biggest challenge is managing the huge volume of Tweets to see those that are financially relevant. Our newly enhanced SmartTracks case a wide net across your chosen equities, currencies or breaking news events. We analyse Tweet-text for financial relevance. We take into account sender reputation, cross-Twitter engagement and an account’s “reTweet signature” to identify those Tweets that are about to go viral. The result is a focused stream of financially relevant Tweets, in relevance order if required, in a user interface designed for the finance professional.

Product distribution strategy: Direct to Business (B2B), through financial institutions, through other fintech companies and platforms

Contact

Bus. Dev.: Danny Watkins, CEO, [email protected], 0207 100 4489
Press: Stuart Hunt, EarlyBird Evangelist, [email protected], 0207 100 4489
Sales: Harris Darroch, Financial Markets, [email protected], 0207 100 4489

How they describe themselves: Opentech is a PCI DSS certified company, building and operating end-to-end mobile payment solutions for Banks and Issuers. We hate compromising on user experience due to legacy systems; we hate loosing time reinventing the wheel. We love creating useful apps with amazing UX and running them in our Banking-Grade Cloud Infrastructure, on behalf of our Clients. We leverage on Card Brand and Network services to make reusable, easy to integrate solutions, with limited IT impact. After more than 10 years innovating in the Fintech industry, we are eager to share the unique recipe we found for successful mobile services.

How they describe their product/innovation: With PSD2 around the corner, don’t make a defensive move, but delight your customers and attract new ones. Based on an award-winning whitelabel solution, already chosen by major European Banks, OpenPay 2.0 is the mobile app open to customers and prospects that puts in the hands of users the power of a full-fledged mobile payment (HCE/MDES, Masterpass and DSRP), card control (through MC InControl), installment and expense tracking application. With OpenPay 2.0 Opentech is rising the bar of mobile payment solutions: it’s not just a matter of cost or time-to-market, it’s a matter of overall customer experience. Rely on a PCI DSS Fintech deeply experienced in providing both Development and Operations to get higher quality and quicker delivery.

Product distribution strategy: Direct to Business (B2B), through financial institutions, through other fintech companies and platforms

Contact

Press & Sales: Elena Trossi, PR, [email protected]