Tampa, Florida, July 10, 2019
– Lumina, a predictive analytics company whose AI-driven Radiance platform
helps keep people and places safe and secure through active and early detection
of potential risk-related behaviors, announced today that it has raised an
additional $5 million in funding. This round, which included investment funds
and individual investors, follows an earlier capital raise of approximately
$8.5 million in August 2017.
“We are extremely pleased with
our industry-leading Radiance platform, and the market’s positive response to
it. We will use this funding to accelerate growth through further investment in
sales and marketing,” said Allan Martin, the CEO and Co-Founder of Lumina. “Our
confidence in Radiance and our growth trajectory is reflected in the fact that
our latest round of funding came almost entirely from existing investors and
Lumina’s investment in sales and marketing efforts will focus on key industry verticals including education, government, finance and transportation industries. As part of its education outreach efforts, the company plans to announce a major school initiative in the coming weeks, leveraging its Radiance platform to help keep students and campuses safe across the country.
In addition to the sales and
marketing efforts, the company is planning to expand office space at its Tampa
headquarters and grow its team both there and in its Washington, DC
office. Lumina is currently recruiting for two positions, a customer
success analyst and a research analyst, both based in Tampa.
Lumina is a predictive
analytics company founded on the idea that technology is a force for good.
The company’s optimized artificial intelligence capabilities help keep
people and places safe and secure through active and early detection of
high-risk behavior. Lumina’s Radiance platform uses proprietary, deep web
listening algorithms to uncover risk, provide timely, actionable information,
and help prevent catastrophic loss. Lumina is committed to protecting
what matters most, and its Radiance platform is designed to help solve the
world’s most challenging problems.
For more information contact
Jill Kermes at 202-957-0715 or firstname.lastname@example.org
machine learning, and data analysis can speed the investigatory process, allow
for continuous evaluation and reduce existing backlog~~
Lumina’s AI-driven Radiance platform, which
uses proprietary, deep-web listening algorithms to uncover risk, provides one
solution for modernizing the security clearance process and reducing the
existing backlog. The company has configured Radiance’s exclusive
Behavioral Risk Profiles (BRPs) against the 13 adjudicative guidelines
criteria, allowing for earlier risk determination and prioritization of
“As many security experts have pointed out,
our current system is not only time consuming and slow, it is also out of sync
with how people live in the 21st century.
To be sure, 50 years ago, interviews with neighbors, colleagues and other
associates could help provide meaningful insights into our lives and
habits,” said Allan Martin, CEO of Lumina. “Today, we share these very
same insights willingly, publicly and knowingly across a variety of online
platforms. But, with more than 2.5 quintillion bytes of data created on
the Internet every day, only a platform with Radiance’s capabilities can
quickly and thoroughly find and prioritize relevant and actionable content.”
Radiance is designed to overcome the
challenges of massive unstructured data ingestion, evaluation, and
prioritization. This provides a rapidly deployable, scalable and user-friendly
solution for the security clearance process. The technology is comprised
of three modules, for edge-to-edge risk detection.
Radiance Open Source Intelligence (OS-INT)
OS-INT is a deep-web listening tool that uses
machine learning and artificial intelligence to assess and prioritize
risk. OS-INT scours publicly available data across the entire Internet,
correlating names entered into the system with content related to its exclusive
BRPs, and cross-referenced with more than one million queries into Lumina’s
proprietary databases of risk. Unlike social media
monitoring, OS-INT is not reliant on a single platform or social
media API, allowing for continuous ingestion of all open source data.
OS-INT’s security clearance bundle
includes more than 16,220 terms related to the 13 adjudicative
guidelines. OS-INT performs nearly 325,000 searches across
the entire web, correlating names with associated risk behaviors. Similar
results would take an individual running a manual web query more than 18 years
to read and analyze.
OS-INT completes searches in an average
of 4-5 minutes, providing prioritized, high resolution, and actionable
results. The system allows for continuous monitoring and evaluation, mapping
previous results against results from more recent queries.
The configuration of BRPs only collects
publicly available information, within the scope of the investigation and does
not use account creation or digital interaction with POIs. As a result, the
collection of information adheres to Security Executive Agent Directive 5
Radiance Internet Intelligence’s (NET-INT)
NET-INT’s proprietary algorithms continuously
identify, monitor, capture, and prioritize IP addresses exhibiting anomalous
behavior across multiple risk dimensions. Its massive system of data
ingestion has the capability to catalogue, index and redeploy Internet content related
to risk dimensions associated with SEADs.
The system captures an IP addresses’ pattern
of life data, prioritizing anomalous behavior. NET-INT also screens
IP addresses associated with an entity or person of interest against all IP
addresses displaying anomalous behavior collected over the system’s
NET-INT’s continuous monitoring of a
POI’s Internet research behavior helps predict emergent behavior indicative of
a violation of the guidelines.
Radiance Human Intelligence (HUM-INT)
HUM-INT is powered by the S4 app, a
crowd-sourced, mobile application that allows users to confidentially report
concerns in real time. S4 app can be configured as a workplace tool,
allowing employees to submit information related to potential risk behaviors
exhibited by co-workers. A centralized management portal allows clients to
access real-time threats to geo-fenced facility locations.
View Lumina’s blog and white paper on security
clearance at www.luminaanalytics.com
Lumina is a predictive analytics company founded on the idea that technology is
a force for good. The company’s optimized artificial intelligence
capabilities help keep people and places safe and secure through active and
early detection of high-risk behavior. Lumina’s Radiance platform uses
proprietary, deep web listening algorithms to uncover risk, provide timely,
actionable information, and help prevent catastrophic loss. Lumina is
committed to protecting what matters most, and its Radiance platform is
designed to help solve the world’s most challenging problems.
For more information contact Jill Kermes at
202-957-0715 or email@example.com
~~AI-powered technology helps organizations anticipate, understand,
manage and mitigate risk~~
Lumina announced today the launch of its new Radiance platform, which uses proprietary, deep-web listening algorithms to uncover risk, provide timely and actionable information and help prevent catastrophic loss. The Radiance platform brings the power of Open-Source Intelligence (OS-INT), Internet Intelligence (NET-INT) and the See Something Say Something app (HUM-INT) for edge-to-edge risk detection.
“The power of Radiance is two-fold – its ability to ingest massive amounts of unstructured, open source data and its real-time ability to analyze that information to predict and prevent organizational risks and threats,” said Allan Martin, CEO of Lumina. “Radiance is designed to help keep people and places safe and secure, and this AI-driven solution will immediately transform how organizations think about risk management and risk mitigation.”
Radiance’s purpose-built, best-in-class algorithms overcome the challenges of massive unstructured data ingestion and prioritization. Radiance scours the web, prioritizing current behaviors to predict future action. This is an advantage over other technologies, which focus only on historical behavior, which can lead to bias in the results. Additionally, clients can integrate their own structured and unstructured data into Radiance, allowing for correlation of internal databases against open source, publicly available data.
Radiance is a Software-as-a-Service (Saas) platform that includes managed service capabilities. It is rapidly deployable, scalable, highly configurable and user-friendly, and is comprised of the following components:
- Radiance Open Source Intelligence (OS-INT) is a deep-web listening tool that uses machine learning and artificial intelligence to assess and prioritize risk. Names entered into OS-INT are correlated with content related to 20 different risk factors, known as Behavioral Risk Profiles (BRPs) and cross-referenced with more than 1 million queries into Lumina’s proprietary databases of risk, known as ecosystems. One search across all BRPs equates to more than 465,000 deep web searches. OS-INT delivers prioritized results in about 5 minutes. A manual search of this magnitude would take a person more than 3 1/2 years to complete.
- Radiance Internet Intelligence (NET-INT) detects means, motivation and target for attack planning. Its proprietary algorithms continuously identify, monitor, capture and prioritize IP addresses exhibiting anomalous behavior across multiple risk dimensions. The platform collects and stores more than 1 million interactions every day and since its inception has recorded more than 623,000 IP addresses engaged with threat-related risk topics.
- Radiance Human Intelligence (HUM-INT) is powered by the S4 app, a crowd-sourced, mobile application that allows users to confidentially report concerns in real time. A centralized management portal allows clients to access real-time threats to geo-fenced locations.
“We constantly hear people say, ‘We have so much data, but what can we do with it?’ Radiance solves that problem by ingesting, integrating, correlating and analyzing disparate datasets. It takes data never designed to identify risk, and prioritizes it – giving our clients an unbiased and fully auditable understanding of human behavior and associated threats,” said Dr. Morten Middelfart, Chief Data Scientist at Lumina.
He added that Radiance’s BRPs solve for the “data noise” obstacle associated with other OS-INT SaaS solutions. In addition, Radiance drastically outperform existing Natural Language Processing (NLP) approaches to identify names of persons or entities in unstructured data. Radiance performed at a 93.1 percent accuracy level on unstructured, improperly cased documents such as HTML, JSON or computer code and other so-called messy documents compared to 0 percent for Stanford Named Entity Recognizer (NER) and other popular open-source NLP software. Additionally, the BRPs generated with Lumina’s machine learning are “human readable,” making them fully auditable as well.
Lumina is a predictive analytics company founded on the idea that technology is a force for good. The company’s optimized artificial intelligence capabilities help keep people and places safe and secure through active and early detection of high-risk behavior. Lumina’s Radiance platform uses proprietary, deep web listening algorithms to uncover risk, provide timely, actionable information, and help prevent catastrophic loss. Lumina is committed to protecting what matters most, and its Radiance platform is designed to help solve the world’s most challenging problems.
For more information contact Jill Kermes at 202-957-0715 or firstname.lastname@example.org
Analysis of Major Opioid Grants Shows More Populous States Get More Funding Per Victim, Leaving Smaller, More Impacted States Underfunded
TAMPA, Fla., April 30, 2019 /PRNewswire/ — State allocations of federal opioid grants are biased toward more populous states according to an analysis conducted by Mission LISA (Learning Indicators of Substance Addiction). Disparities are based on current funding formulas which only address the absolute number of people affected. To better fund the states most impacted by the crisis – regardless of size – Mission LISA recommends changing funding formulas to account for epidemic severity relative to state population.
“As a guidance to crisis mitigation efforts, Mission LISA recommends federal agencies optimize current opioid funding formulas by incorporating state prevalence as a significant factor,” said Vicky Liao, Director of Mission LISA. “Smaller states are bearing the brunt of this crisis, and this updated formula would provide them the funds they need for prevention, treatment and intervention.”
She added that as a result of the analysis, Mission LISA developed an optimal formula for determining funding for states which incorporates both absolute numbers of victims as well as state prevalence.
Mission LISA reviewed major opioid grants, including grants from the Substance Abuse and Mental Health Services Administration (SAMHSA), the Health Resources and Services Administration, and the Department of Justice, comparing 2018 state-level funding distribution with the 2017 state ranking by prevalence of opioid misuse. Results show some highly impacted states were underfunded and received funding that is disproportional to the epidemic prevalence in those states:
Delaware, Maine, New Hampshire, Maryland, and West Virginia.
Incorporating prevalence into the determination of funding for SAMHSA’s State Targeted Response grant would result in an addition of approximately $108 million to at least 37 states and the District of Columbia. The top five jurisdictions to receive more funding are:
Maine, the District of Columbia, Delaware, New Hampshire, and West Virginia.
About Mission LISA:
Mission LISA is a data aggregation initiative surrounding America’s national opioid crisis. Using deep web mining and machine learning technology, Lumina Analytics is collecting, synthesizing, and analyzing massive amounts of publicly available data to provide policymakers and healthcare service providers with timely and relevant intelligence surrounding the current state of the crisis and how best to combat nationwide overdose death and addiction. This data drives production of evidence-based policy recommendations and patient-centric treatment pathways, yielding highly targeted solutions for the epidemic.
Mission LISA was launched by Lumina Analytics in 2017 to address the need for more robust and timely data surrounding the opioid crisis in America. Visit www.LuminaAnalytics.com to learn more about Mission LISA technology and data analysis. Follow Mission LISA on LinkedIn and Twitter for relevant intelligence and policy updates.
About the Mission LISA Foundation:
The Mission LISA Foundation conducts educational meetings, prepares and distributes educational materials, and considers public policy issues in an educational manner, presenting materials and information on a non-biased, non-partisan basis for wholly educational purposes regarding the nation’s opioid epidemic. LISA is an acronym for Learning Indicators of Substance Addiction. Mission LISA Foundation’s Advisory Board is comprised of expert physicians, researchers, academics, policy veterans, and industry professionals.
TAMPA, Fla., Feb. 27, 2019 /PRNewswire/ –Lumina, a risk sensing and predictive analytics company, announced today that Albert Narvades has joined the company as chief financial officer. Narvades’ career spans nearly 25 years in finance and accounting, with broad leadership experience in the software and technology industries.
“Al has an impressive track record working with Fortune 1000 and Fortune 100 companies as well as with companies that are in a fast-paced, high-growth environment. This experience, combined with his background in software and technology, make him an excellent addition to the expanding Lumina team,” said Allan Martin, CEO of Lumina.
Narvades most recently served as chief financial officer at Jagged Peak, where he was head of all finance, business intelligence, legal, insurance and day-to-day human resources of the Software as a Service (SaaS) technology company. Prior to that he served as controller for BP’s alternative energy group/biofuels in Tampa. There he led accounting, finance and treasury functions.
“Lumina is a pioneer in the predictive analytics space. Our technologies will help save lives, protect communities and solve some of the biggest problems society faces,” Narvades said. “I’m honored to be a part of the team and join the company at this time of growth and opportunity.”
Before joining BP, Narvades held a variety of roles with Walter Energy, Inc. (formerly Walter Industries) and its spin-off Walter Investment, including serving as vice president of finance, capital markets focused on structured finance transactions related to securitizations. Narvades began his career with Ernst & Young in 1994 and served in various roles including Audit Manager. He holds both Bachelor of Science and Master degrees in Accounting from the University of Florida, and has been a certified public accountant since 1995.
“In addition to welcoming Al to the team, we are also excited to announce that we have opened our Washington, DCoffice, with a focus on opportunities in the government contracting space,” Martin said.
“We have opened 2019 with tremendous momentum and are well-positioned to deliver on our strategic growth plan as the year progresses,” he added, noting that earlier this month, Jill Kermes had joined the company as its senior vice president for communications.
Lumina, a predictive analytics and risk sensing company, announced today that Jill Kermes has joined the company as senior vice president of communications. Kermes has more than 20 years of experience in corporate and brand strategy; corporate social responsibility, issues management, political communications and public affairs consulting.
“Jill is a proven leader with an impressive track record in helping people and organizations translate and simplify strategy into action and we welcome her to the team,” said Allan Martin, CEO of Lumina. “At Lumina, we continue on our mission to solve the world’s most challenging problems. Jill will play a critical role in helping us communicate that goal as well as the technology that will help us make it a reality.”
In addition to her communications responsibilities, Kermes will also serve in a strategy role for Mission LISA, the company’s data aggregation project focused on providing evidence-based solution for the national opioid crisis.
“I have always believed in the power of organizations that are driven by purpose and values, and that is certainly the case at Lumina,” Kermes said. “I am truly inspired by Lumina’s mission and am proud to be part of this committed and passionate team.”
Most recently, Kermes was head of corporate affairs for the Qurate Retail Group, which includes St. Petersburg-based HSN, a position she held following the integration of QVC and HSN in December 2017. Prior to that she led corporate affairs for HSNi and reported directly to then-President and CEO, Mindy Grossman.
Kermes served as chief corporate affairs officer for SeaWorld Parks & Entertainment, where she was responsible for government affairs, corporate responsibility, external communications, including the company’s historic announcement to end orca breeding. Prior to that, she worked for corporations such as Bridgestone/Firestone and Volkswagen Group of America. Kermes was also a consultant at Ketchum and Public Strategies (now Hill & Knowlton Strategies).
Earlier in her career, she worked closely with Governor Jeb Bush as his communications director during his second administration. She was the governor’s spokesperson and directed media campaigns to raise awareness for his priorities, including economic development, education, healthcare reform, and disaster preparedness.