VISION
IMGeospatial changes the way you see the world, by changing the way the world uses data. We deploy artificial intelligence in unconventional ways to digest, distil and disseminate data efficiently, regardless of how imperfect or vast that universe of data becomes.
MISSION
We give clients across multiple sectors access to a structured pipeline of data that would have otherwise been too complex, inaccurate or expensive to tap. By anticipating and preparing for a world where business intelligence is truly automated, we help you redeploy human resources to maximise return on investments in data technology.
WE DEMOCRATISE THE DATA PIPELINE
We reduce the time and effort it takes to generate insights from raw data, making business intelligence more affordable across your business.
As the world’s demand for data grows, we use more people and processing to QA, structure, and model that data, because traditional AI still requires human input and massive data sets to establish the basis on which machines learn.
Our AI precisely and accurately structures data in an unsupervised fashion, reducing our reliance on costly human resources to generate business intelligence from raw data, even as the demand for insights evolves and increases over time.
WE MODEL IMPERFECT DATA IN AN IMPERFECT WORLD
We strip human bias from inherently flawed human systems, accepting data for what it is: imperfect.
As the ecosystem of data expands, so will the risk for errors and gaps in that data. Traditional engineering practices “clean” the data to improve their results. But we live in an imperfect world filled with imperfect, open data.
Our technology automates the QA process and models the real impact of errors in data, rather than ignore that data altogether. This minimizes potential for human correction bias, allows us to use smaller data sets, and lowers overall costs.
WE ARE BUILDING THE FUTURE OF ARTIFICIAL SYSTEMS
We’re preparing for the inevitable future of data, and accept the reality that complex systems can process data better than humans can.
As digital technologies enter every corner of our lives, the network of systems that talk to each other without human intervention will continue to grow. Raw data will need to be structured for computers, faster and with higher quality than ever before.
We use innovative models to structure data in a format that helps computers talk to computers, recognising and modeling errors that would otherwise need human intervention to correct, and processing data faster than current manual approaches.
WE SIMPLIFY THE JOURNEY FROM SENSOR TO SOLUTION
We demystify the data pipeline, taking the complexity that goes into business intelligence out of your daily workflow.
As data volumes grow exponentially, the data lifecycle will become more fragmented and specialised, with an increasingly complex network of costly relationships to manage, and sophisticated decisions between intricate technologies to make.
We sit across the entire data pipeline, understand our clients’ data needs, engage the right partners for the right data, and deliver subscription-based data and insights that solve tangible business problems more cost-effectively and efficiently than clients would do on their own.
Latest
View AllIMGeospatial partners with Soarizon in Albania
Democratising land ownership with drone-captured data and AI SOARIZON by Thales and IMGeospatial recently joined forces in an open innovation project to develop a service to aid in the creation of land cadastre with drone-captured data and AI. A land cadastre is an official register showing formal ownership and boundaries of land in a country. […]
Discover MoreAlexis Hannah Smith shares her tips on entrepreneurship
Having spent years speaking to and working with business leaders and other entrepreneurs, Alexis Hannah Smith has digested and distilled the guidance she would love to have given her younger self. Her leadership advice includes some surprising tips, such as “Take a tech detox,” and “Treat yourself, ditch the guilt.” See what else Alexis thinks […]
Discover MoreDatacrash: A dyslexic dropout’s look into the future of biased AI
In October of 2019, the European Forum for Geography and Statistics (EFGS) invited Alexis Hannah Smith to be a keynote speaker at their conference in Manchester, alongside Robert Cuffe, Head of Statistics for BBC. The event was hosted by the Office for National Statistics (ONS), and gave Alexis the opportunity to talk about the importance […]
Discover MoreAlexis Hannah Smith joins xyHt on their Measure This! podcast
xyHt magazine editor Gavin Schrock, interviews Alexis Hannah Smith (founder and CEO of IMGeospatial) on Measure This!, a podcast that interviews geospatial leaders, stories about their projects, and updates on current events and how the industry is making a difference. Gavin and Alexis discuss how IMGeospatial creates data intelligence products via machine learning, artificial intelligence, automatic feature extraction, […]
Discover MorexyHt interviews Alexis Hannah Smith at GWF2019
Earlier this year, Alexis Hannah Smith spoke at the annual Geospatial World Forum, held in Amsterdam on April 2-4, where IMGeospatial was also awarded as Geospatial World Start-up of the Year. While there, she had a chance to sit down with xyHt, a group of publications focused on geospatial topics to answer the question: “How […]
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