Products

Locomizer offers a set of Cloud-based, real-time data APIs powered by its core geo-behavioural user interest profiling technology - the Audience Discovery Engine:

Geo-Behavioral Profile API

Retrieves customer interests from their location history and outputs distinctive user interest profiles, making them ideal for relevant targeting, recommendations, all kinds of personalization and user matching. Simply saying, the API helps answering a question of "WHO TO TARGET?"

Footfall API

Provides a detailed, rich, contextual knowledge of any given place by footfall interests and day part. The data feed is a result of aggregating, anonymising, and extrapolating of individual user interest profiles. API empowers marketers to make a decision of "WHEN AND WHERE TO TARGET THEIR AUDIENCE."

Technology

We’ve built a very complex patent-pending mathematical solution that is based on the laws of Nature. We call it the Audience Discovery Engine. The Engine enables a new way of audience discovery and segmentation. We believe that our location = our identity. We are, our real-life interests and preferences are a product of our local footprint. By looking at places and surroundings where customers tend to spend their time at, the Audience Discovery Engine generates unique Geo-Behavioral User Interest Profiles - a new way to interpret, store and use positional information. User interest profiles are created with our behavioral model, which was developed through studying of cell movements and patterns in nature. This model analyses your behavior in and around places to understand your real-life interests and preferences.

Blog

Stay tuned for our news, updates and announcements.
Aug 2
Aug 2

Geo Data is the new Yelp

At the end of his early 2014 article in ‘StreetFight’, which focuses on the business of ‘Hyperlocal’,  Steven Jacobs made this point: Social recommendation products from Facebook and Twitter could threaten Yelp’s position in the market, but the longer-term threat to Yelp comes from a more data-driven approach. As mobile positioning and battery-life improves, and […]

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Aug 4
Aug 4

An Artificial Intelligence Alternative for Replicating Emotional Intelligence

Paul Frampton’s argument for improved Emotional Intelligence should be taken seriously as marketing requires an increasingly creative approach in increasingly real-time social channels. Yet in our industry’s pursuit of all things scalable, we try to recreate instinctive human ‘EI’ with the non-human, automated and hopefully scalable AI. Unfortunately, despite sophisticated algorithms and plenty of investment, […]

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About

So, what's in the name? Locomizer is a play of several words, including a noun location and verbs maximize and analyze. Figuratively speaking, locomizer means "maximizing the analysis of location."
  • 2013

    Accepted to B2B startup accelerator Collider12 (London, UK)

    Selected by London B2B incubator Collider12 for Winter/Spring 2013 Class and raised our first seed round.

  • 2013

    Built and tested MVP

    Used advice and money from the Collider12 accelerator to build and test our MVP.

  • 2013

    Entering the Silicon Valley

    Selected by San Francisco Momentum startup accelerator for Summer 2013 Class hosted by RocketSpace.

  • 2013

    Made it to Mashable

    Locomizer was named by Mashable a TOP25 UK startup!

  • 2014

    Product Validation

    Successful live trial with McDonald’s

  • 2014

    Product Commercialization

    First commercial contract in Sep 2014

  • 2015

    Biological Intelligence Catches Fire

    Locomizer expands to 4.2 million records per hour

Our Team

The team has a strong domain expertise in mobile, algorithms, behavioral science and they are first movers in Biological Intelligence.

Cofounder Alexei N. Poliakov (Alex) holds a strong background in product planning, development and marketing at companies like Siemens Enterprise Networks, Fujitsu Labs of America in Silicon Valley and Fujitsu Mobile Phone Group, Rakuten in Tokyo, Japan. Alexstudied Computer Information Systems at UC Berkeley and also received MA in Japanese from home university in Russia. He has shaped Locomizer’s initial business strategy & product roadmap.

Cofounder Alexei A. Poliakov (Alexei) holds PhD, Biology from Moscow State University. He has dedicated more than ten years of scientific research on spatial behavior in live systems. Alexei developed a concept of Positional Identity, which laid the foundation for Geo-Behavioral Interest Profiling algorithm and its commercial applications at Locomizer.

Resources

Locomizer is revolutionizing targeting by employing Biological instead of Artificial Intelligence.

Biological Intelligence (BI) has fundamental advantages over Artificial. Thus far, the main limitation to it's proliferation in computer science is a lack of understanding of Biology in the Computer Science field. Nature inspired algorithms are superior. Below are BI and related resources to help explain its technical sophistication and amazing potential.

book-coverReplicating Emotional Intelligence "The first step to recognizing the superiority of BI is to stop trying to replicate the human brain and observe intelligent systems. And this is a much sought after pursuit in traditional marketing – with or without an algorithmic approach. Joseph Vita DeLuca, VP Marketing and Communications at Yieldr, aptly described the challenges and opportunities of better understanding separate biological systems in the marketing sense as ‘hypersegmentation’." more

AI has Limits "Artificial intelligence has limits of scope, but they fade away when compared with the performances of natural intelligence." more

Researchers Seek Intelligence "Artificial intelligence (AI) researchers seek to develop intelligent software and machines." more

AI Can't Match Biological "AI machines based on classical computing principles have a fixed universe of discourse so they are unable to adapt in a flexible manner to a changing universe. This is why they cannot match biological intelligence" more

The Borders of AI "The two pillars of computer science, "0" and "1" together with the truth values "True" and "False" are major borders in artificial intelligence." more

book-coverBiological Intelligence (BI) is not a product of the human brain, its origin is in the emergence in any type networks/interactions between active agents from molecules/cells/organs/organisms and societies. The most mis-understood element of BI is that systems does not have to have the brain to be intelligent, i.e. to respond and adapt to past and future external and internal challenges in order to survive and replicate. We understand that intelligent systems must be highly active at the individual level and highly interactive as a system of individual unites (agents) and cells which make up our bodies manifest extremely complex interactions with cells of the same and different type. The complexity of a spatial pattern they form due to the interplay of the individual activity and collective interactions reflects the level of 'intelligence' of the entire system. The key requirement for such systems to emerge and sustain is the ability of individual system units (elements, agents) to interact with other system units strongly and across large space-time intervals. By understanding the principles behind intelligence at the molecular and/or cellular level we can apply them to understand human systems, which do not have a collective brain they're organized and function in a way similar to the cellular world just at a larger (human behavioral) scale.

A New Method of Audience Discovery After more than 10 years of scientific research on cell behaviour in nature and humans, Polyakov and Poliakov came up with an idea to invent a new method of audience discovery. Locomizer and the nature-based algorithm behind it is the final product of that idea. Using its specialised algorithm, the company enables businesses to better understand their customer profiles by providing them with accurate user interest profiles generated by the places and surroundings where they spend their time... more

Alexei leads a team of physicists, mathematicians and developmental biologists to answer one of the most intriguing questions in modern biology: How do cells organise themselves into highly ordered and super-dynamic communities called tissues organs and organisms? more

Self-Organization of Cells as a Phase Transition Phenomenon This and 30 more research papers by Dr Alexei Poliakov can be found here on ResearchGate.

One of the 100 Most Exciting and Innovative New Businesses in the UK "There was a rigorous selection process and the fact that we have made the list serves as a perfect validation for locomizer’s product vision. There is still some room for improvement and we are determined to move up the ranks next year.” more

Simulation of cell movement and interaction. A mechanical model of cell motion was developed that reproduced the behaviour of cells in 2-dimensional culture. more

A Mechanical Model of Cell Segregation Driven by Differential Adhesion From simulations that begin with a random mix of two cell types, we monitor progress towards segregation driven by contact-mediated linkage of model cells, which is equivalent to the cell-cell adhesion of real cells. more

9781439883273The exponential progress and accessibility of computing has vastly increased data flows and revolutionized the practice of science, engineering, and communication. Computing plays a critical role in advancing research across almost every scientific discipline. Computation for Humanity: Information Technology to Advance Society is a guide for the creation of services, products, and tools that facilitate, support, and enhance progress of humanity toward more sustainable life. This book: Provides a deep understanding of the practical applications of computation to solve human-machine problems Delivers insight into theoretical approaches in an accessible manner Provides a comprehensive overview of computational science and engineering applications in selected disciplines Crosses the boundaries between different domains and shows how they interrelate and complement one another Focuses on grand challenges and issues that matter for the future of humanity Shows different perspectives of computational thinking, understanding, and reasoning Provides a basis for scientific discoveries and enables adopting scientific theories and engineering practices from other disciplines. more

Locomizer has developed, through Biological Intelligence, a novel framework for the modelling and analysis of people interaction and interests, which is based on positional information. The challenge is to detect high-correlated groups or pairs of individuals who are not necessarily geographically close. Our starting point is that people's behaviour can be determined by the types of places they visit or come close to at each time. The matching methodology is based on Poliakov's work on spatial pattern formations in mixtures of cells.