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Our Team

Marinus Analytics is a team with a social mission. We investigate how AI can turn big data online into actionable intelligence. The AI solutions we deploy help law enforcement, government, and the private sector identify and combat human trafficking and other criminal activity.


As a member of our team, you will apply your talents to maximize social impact while enhancing your skills and knowledge of emerging digital solutions for law enforcement and the public sector. You will be a key contributor working on the design and implementation of our next generation SaaS applications. Part-time and full-time positions available. Pittsburgh-based is preferred.


  • Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field from an accredited university, or acquired core software development skills and knowledge via practical experience
  • 2 or more years of experience in complex development environments, taking abstract concepts and ideas and building solid software products
  • Experience in a commercial software development environment, preferably on building web-based applications or working with unstructured data
  • Working knowledge of multiple languages and technology stacks (Java, Javascript, Python, Django)
  • Experience working with a Linux operating system
  • Understanding of cloud infrastructure and services
  • Working knowledge of SQL and experience with at least one of the following: Oracle, Postgres, MySQL
  • Willingness to go above and beyond to make a social impact

To Apply

Please send a resume and cover letter detailing why you'd make a great fit to: info@marinusanalytics.com 

AI for Humanity: HPE Discover 2018

Last month, we had the opportunity to speak about the use of Artificial Intelligence for the benefit of humanity at the Hewlett Packard Enterprise Discover 2018 Conference. We had the chance to share about our work using facial recognition to fight human trafficking, as well as brainstorm and discuss the present and future challenges to ensure ethical use of AI.

Check out a thought-provoking Q&A here, where Marinus President and Founder Emily Kennedy is interviewed by Dr. Eng Lim Goh, AI expert and VP at HPE, about the mindblowing success law enforcement has had with Traffic Jam's facial recognition tool, FaceSearch, and how AI tools have been used to find victims of sex trafficking in the most dire circumstances. Dr. Goh is a captivating speaker on AI and what it means for the future of humanity. 


Ms. Kennedy also had the chance to sit down with Hewlett Packard Enterprise and delve into how Marinus Analytics is using AI for good, and what are some of the complexities of that challenge.  That interview can be viewed here.

We also discussed how AI should not be just a push-button process where we get a miraculous but inexplicable answer out of a black box. Explainability of AI is extremely important, and we see the best applications of AI happen when humans and robots collaborate to get to better answers than they could apart.

As we heard Rosanna Myers describe it at The Atlantic Future:Now event, "co-bot" is the ongoing collaborative work that humans and robots can do together.  Coming soon, a panel discussion will be posted here that will dig further into the ethics of AI. It will be released shortly as a part of the HPE Podcast on "Bringing AI to the Masses." Stay tuned!

Traffic Jam Success Story

The Outcry
It started with an outcry from Allie,* who was pimped 2 years ago by a violent trafficker who went by the name “Julian.”* She told Detective John Patterson,* “I want to get out of this, because of what Julian’s done to me. And he did it to a 15 year old girl, too.” Similar cases of this scope—which grew to 21 identified victims—would take a year; Detective Patterson built this case in about 3 months.  Detective Patterson credits the importance of good experience, trainings, and technology tools like Traffic Jam.


The Violent Pimp
Julian was a violent pimp, and he required a $1,500 per day quota for each victim; he would beat them if they didn’t bring home that money each night. He had been arrested many times in the past; for aggravated assault with a motor vehicle, running his victims over with a car several times. For strangling one of his victims until she passed out. For punching and assaulting others. But force, fraud, and coercion aren’t always physical; he also threatened to kill their children if they didn’t work for him.
Julian recruited his victims in person and on social media apps like Instagram. He broke down one victim by recruiting her to work as a stripper, and then repeatedly raping her over a number of days. When she still refused to sell sex for him, he withheld food until she broke down and agreed. When she tried to escape, he used a location tracking app on her phone to chase her down. He found her, assaulted her, and put her back to work. She couldn’t work for a few more days, because customers would notice her black eye.
Traffic Jam
Detective Patterson used Allie’s testimony to begin piecing together the case. By searching victims’ Facebook photos through Traffic Jam’s FaceSearch, he was able to find their ads posted across the country, from the South all the way up to Pennsylvania and back. He said, “I used Traffic Jam to map out the course that Allie exactly described.”

He was searching for Jessica,* an underage victim Allie had told him about. He scrolled through Jessica’s Instagram, and found the most recent pictures she posted of herself, which were over 2 years old, from when she was fifteen. He said, “I didn’t think it would lead to anything, because it was such an old photo. But I thought I’d run it through FaceSearch just in case. I couldn’t believe it when the 2 year old photo returned top matches in FaceSearch that looked just like her.” He saw in the Traffic Jam trail that she was currently posting in California, but had posted in his city in the months before. Through use of FaceSearch and confirmation of the locations/times in the Traffic Jam trail, Detective Patterson successfully identified Jessica using a photo that was 2 years old.
Allie told him about another victim, Sammy,* and her Facebook account. He found some year-old pictures of Sammy on her Facebook profile and uploaded them into FaceSearch to see if he could find a match. FaceSearch returned top matches, none of which looked like Sammy. Patterson said, “I thought the matches weren’t her, they just didn’t look like her.” He sanity-checked the top matches, by checking the timing and location of the ads. Then, he said, “I found that one of the phone numbers in the ad was registered to her name. That made me realize that the pictures from the FaceSearch results were a correct match, but I didn’t recognize her at first because she had changed her appearance so drastically.” When the appearance of the victim looked completely different, FaceSearch was still able to make a positive match, in seconds.
Where Are They Now
By using various technology tools like Traffic Jam, paired with victim interviews and evidence gathered through search warrants, Detective Patterson determined the 21 victims Julian had exploited over a number of years. Patterson assembled a history of money transfers from the victims to their pimp. He confirmed that many of Julian’s victims were working in different states (as correlated to their ads) and wiring their earnings from out of state back to Julian. He determined Julian was making about $15,000 a month, from 2 girls alone; and he had a total of 21 victims over the span of the investigation.

The police department received an arrest warrant for Julian for 6 felonies, which they served him when he came out of the house on trash day. Detectives intervened right after he had threatened to kill another victim’s baby if she didn’t keep working for him. This violent trafficker is currently in jail without bail, awaiting prosecution and potential life in prison for his crimes, all thanks to the tireless efforts of Detective Patterson and his team.

* names have been changed to protect individual’s identity


For law enforcement who would like to be in contact with the detective
who submitted this story, please email us and we will connect you.

Have a success story other investigators should know about? Share your story.

Marinus Analytics Statement on Backpage

Marinus Analytics released the following statement after Backpage.com and its affiliate websites were seized by the FBI and other federal agencies. Emily Kennedy, CEO of Marinus Analytics, said:

"On the evening of Friday, April 6, Backpage.com and its affiliate websites were seized by the FBI and a number of other federal agencies. This has been successful in significantly disrupting the human trafficking market in the past few days. 

"Because it is a black market, human trafficking is an ever-evolving crime. Traffickers are constantly innovating and--as they have in the past--will move to new websites and platforms where they can publicly advertise, to capitalize on this billion dollar industry.

"Websites and platforms will inevitably shift, but our Artificial Intelligence capabilities flexibly adapt to new data sources as they emerge over time. Marinus Analytics maintains our mission to keep law enforcement on the cutting edge with advanced capabilities. We will keep our law enforcement partners informed as to which platforms attract the largest portion of activity in light of these shifts, and will adjust our focus on new resources as they emerge.

"We will continue our work to support law enforcement agencies with cutting edge tools in the evolving space of human trafficking, so they can continue our shared mission of empowering the rescue of victims."

If you are law enforcement and want access to Traffic Jam, please email us at info@marinusanalytics.com or call us at (866) 945-2803.

Amazon Rekognition helps Marinus Analytics fight human trafficking


Marinus Analytics provides law enforcement with tools, founded in artificial intelligence, to turn big data into actionable intelligence. The Marinus flagship software, Traffic Jam, is a suite of tools for use by law enforcement agencies on sex trafficking investigations.  Traffic Jam began as research by CEO Emily Kennedy at the Carnegie Mellon University Robotics Institute in 2011.  In 2014, Ms. Kennedy and her team founded the social innovation company, Marinus Analytics, to bring research and technology development solutions to make big data useful to law enforcement over the long term. Traffic Jam makes use of the huge amount of data online to proactively find victims, target criminals, and identify transnational criminal networks. These are a complex and evolving issues: “I am inspired by the impact we’ve seen thus far in the human trafficking space. Daily, we empower local, state, and federal law enforcement across the United States and Canada to rescue hundreds of victims and apprehend those who exploit them,” Kennedy says.

Now with Traffic Jam’s FaceSearch, powered by Amazon Rekognition, investigators are able to take effective action by searching through millions of records in seconds to find victims.

Recently, Marinus Analytics added facial recognition to the Traffic Jam platform using the Amazon Rekognition AI service. Marinus is the first group to effectively turn facial recognition technology against the vast, clandestine networks of human traffickers that prey upon our most vulnerable citizens. In the first few days following the release of Traffic Jam’s FaceSearch, law enforcement agents made multiple successful identifications of minors being sold online for sex. In one case, detectives identified the missing victim by searching her social media photos in FaceSearch. A positive match was quickly made and law enforcement was provided with the critical information to locate and rescue the victim.

Law enforcement needs sophisticated tools to foster victim-oriented policing in the age of the Internet. Law enforcement knew that runaway children are among the most likely to be trafficked. Before using Amazon Rekognition, their only recourse was to manually sift through online data to try to find them; this was time-intensive or not possible.  Now with Traffic Jam’s FaceSearch, powered by Amazon Rekognition, investigators are able to take effective action by searching through millions of records in seconds to find victims. They can use a photo of a missing child, a social media photo, or a photo from a social worker, and quickly determine whether a potential victim has been advertised online for commercial sex.

In one case, detectives identified the missing victim by searching her social media photos in FaceSearch. A positive match was quickly made and law enforcement was provided with the critical information to locate and rescue the victim.

Marinus Analytics has indexed over one and a half million faces in FaceSearch since its inception. The company uses a suite of AWS resources—in addition to Amazon Rekognition—to operate the Traffic Jam platform. Cara Jones, Chief Operating Officer, comments “In our engineering approach, we remain lean and cutting-edge through the use of AWS’s cloud infrastructure, intuitive administrative interfaces, and access to deep learning-based AI services , such as Amazon Rekognition. Facial Recognition was a long sought after feature by our users. AWS has allowed our startup to have a major impact in supporting law enforcement and in turn, helping victims of these crimes.”

There is interest among law enforcement to apply this tool more systematically and automatically, and in conjunction with other data sources, to proactively uncover human trafficking.  FaceSearch and future innovations by Marinus will help uncover this hidden crime in our communities, rescue victims, and bring their exploiters to justice. Marinus Analytics will continue to innovate using AWS services to ensure widespread social impact.

iHTAC Offers LE Resources to Help Children Victimized by Human Trafficking

Human traffickers do the unthinkable. They prey upon and profit from the weakest and most beloved among us: our children.

Unfortunately, modern technology platforms host open markets for traffickers to sell their victims. The growth of human trafficking can be attributed to low risk of accountability and high profit margins for the trafficker.

This problem can be solved with centralized coordination of law enforcement agencies and resourcing efforts that leverage modern day technology. DeliverFund’s International Human Trafficking Analysis Center (iHTAC) provides this necessary strategy and the tools to fight this heinous crime.

Accelerating Law Enforcement Capabilities

DeliverFund’s iHTAC is a unique collaboration with corporate partners who bring innovative technology tools used to accelerate law enforcement capabilities in their case work. The iHTAC serves as the central point of collection, integration, analysis, and dissemination of human trafficking intelligence for law enforcement, select nonprofits, and professionals working together to fight human trafficking. 

Next week, DeliverFund and two iHTAC members -- Marinus Analytics and ShadowDragon -- are reaching out to law enforcement by exhibiting at the Crimes Against Children Conference (CACC) in Dallas. The goal: Ensure that law enforcement knows DeliverFund stands ready to provide resources and tools. This is offered to law enforcement agencies through a 10-day Counter Human Trafficking Intelligence Operations Course, 24/7/365 analysis support and resourcing for their technology needs.

The Passion Behind iHTAC Corporate Partnerships

For Daniel Clemens – ShadowDragon’s CEO – the company’s partnership with DeliverFund is natural. “It’s always been my view that since we have the skill, experience, and unique technology to track and ID criminals, we absolutely have a responsibility to use it – especially for those in dire need. I can’t think of anyone that needs help more than the children held in captivity by human traffickers. We are very proud to be helping as part of iHTAC.”

Emily Kennedy, CEO of Marinus Analytics, an iHTAC member, echoes this passion. “The crime of human trafficking is no respecter of persons or boundaries, and it can only be fought effectively with a collaborative response.  Our team at Marinus is honored to lend our artificial intelligence expertise to this fight.  We are pleased to be part of DeliverFund’s iHTAC and support a collaborative, coordinated response.”

Getting Results

In just a few years of operation, DeliverFund’s public-private partnership model has had tremendous success.

During Super Bowl LI, a “dream team” of iHTAC members and investigators uncovered two national trafficking networks, 44 individual traffickers, and eight actionable cases in just a few days. Most recently, a human trafficking ring in New Mexico who kept victims in dog crates and had garnered attention of law enforcement agents in other states, was dismantled by NM law enforcement agents with the intelligence provided by DeliverFund.

Want to help? Need Resources?

Pittsburgh-based tech company debuts first facial recognition technology designed to halt global human trafficking

Marinus Analytics is the first to effectively turn facial recognition technology against the vast, clandestine networks of human traffickers that prey upon our most vulnerable citizens.  Traffic Jam’s FaceSearch gives detectives the tools to find specific missing persons, and apprehend their exploiters more effectively.