The computer vision platform for in-store analytics

EVERYANGLE’s platform uses computer vision to analyse CCTV footage for events of interest, without the need for human review. With the number of CCTV cameras deployed globally set to double from 1 billion to 2 billion in the next 3 years, enterprises are increasingly surrounded by oceans of video. However, less than 0.1% of CCTV video captured is ever reviewed by a human being, due to time and cost factors. EVERYANGLE’s unique platform analyses video footage rapidly and cost-effectively at-scale to help retailers and hospitality operators gain rich in-store customer insights, reduce loss and optimise their operations.

We look forward to working with David and the Everyangle team to transform in-store analytics.

“With the number of CCTV cameras set to grow by 100% globally, our platform is becoming ever-more critical to ensuring retailers and hospitality operators can leverage at scale all of their video data to improve the in-store customer experience, reduce theft and fraud, and deliver real operational cost savings. Having had a positive response from the market to date, particularly in the USA, we look forward to accelerating our sales, implementing our product roadmap, and growing our team over the coming months.” – David Owen

The performance data analytics platform

Conjura offers an analytics and data science platform for e-commerce merchants.  The company is pioneering the next generation of e-commerce data analytics by equipping businesses of all sizes with enhanced visibility over their entire operations on a single cloud-based platform, as opposed to multiple and disconnected tools.  Traditionally, e-commerce data analysis has been confined to one section of operations, such as marketing or customer retention.  

Conjura’s real-time analysis is overcoming this limitation by combining data from fulfilment, warehousing, and supply chain sources, with online/offline sales and marketplace transactions and customer metrics.

The new, integrated approach to data analysis pioneered by Conjura provides automated insights and recommendations across every aspect of e-commerce to accelerate overall business performance.

The home for your meetings

The team at Clearword developed a vision to make meetings and remote working healthier. They looked at new and existing products and realised today’s meeting experience is disjointed and frustrating, whether it’s setting up a call with someone, trying to remember what was discussed, or catching up with meetings you’ve missed.

With that in mind, they set about to build Clearword in 2021 with the lofty goal of unifying the meeting experience at every stage of the meeting lifecycle: before, during, and after the meeting.

They are redesigning that meeting experience, based on the tools you use and love. Plan, schedule and prepare for meetings in a truly collaborative manner, and have those meetings transcribed and automatically summarised into searchable and shareable meeting minutes. All your meetings are in one easily accessible and searchable central meetings library.

We are proud to be partnering with David, and the team to support their vision to empower remote work and improve meetings.

Giving developers privacy tools to launch with one-click from their cloud environment – significantly reducing the barrier of entry to PETs.

It is no secret that data privacy is a major challenge for organisations and that privacy tools for developers are still early.

The newly popularized domain of privacy-enhancing technologies (PETs), from homomorphic encryption to secure enclaves may play a crucial role in the future of this space, and we believe the Oblivious team is well placed to develop these.

The team at Oblivious are already thought leaders in academia through their work with the UN & Oxford University, and Robert (CEO & Co-Founder) shares his thoughts;

“Too often when we think of security and privacy, it feels like another cost that needs to be absorbed by data owners. A technical bureaucracy of sorts. However, what the team and I have found is quite the opposite; projects, collaborations, and partnerships that were previously redlined are now getting the go-ahead!”

We are all excited to be partnering with Robert and Jack to support their vision to empower developers everywhere to deliver real privacy in the digital age.

Emergency braking systems can only measure approximately 40 meters ahead or one second reaction time at high speeds.

Currently, there are 1,350,000 road deaths every year, 50m injuries at an annual cost of over $2 trillion. In the US alone car accidents cost 2% of GDP.  94% of those accidents are caused by human error, errors current accident prevention systems cannot stop. Today’s emergency braking systems can only measure approximately 40m ahead or 1 second reaction time at highway speeds. To perceive, predict, and prevent accidents you need to 10x the capability of these systems and Provizio’s Accident Prevention Technology Platform combines proprietary vision sensors and machine learning to do just that. The radar backboned, AI on-the-edge sensor suite with ultra-long-range and foresight capabilities can prevent collisions at high speed and in all weather conditions.

“One point three five road deaths to zero drives everything we do at Provizio. We have put together an incredible team that is growing daily. AI is the future of automotive accident prevention and Provizio 5D radars with AI on-the-edge are the first step towards that goal.” Barry Lunn

Car safety focus has until now largely been on a reactive basis or with prescriptive safety measures, these merely minimise damage to passengers, they do not stop the crash from occurring. To prevent accidents advanced driver-assistance systems (ADAS) need to have greatly increased range and object discrimination capability to see danger long before they currently do. 

Automating Ai Infrastructure

Inferex is developing a platform and entire stack from the metal up to free up ML engineers from dealing with infrastructure.

Inferex allows teams to convert their trained models into fully-fledged APIs in just a few lines of code. Workloads can be orchestrated across any cloud provider as well as across Inferex’s physical infrastructure.

We are excited to be working with Greg. Find out more about Inferex here.

EdgeTier’s platform works seamlessly with customer service agents to answer customer queries more efficiently and accurately

EdgeTier deliver high-quality analytics products and services to our clients in the areas of customer service, customer simulation, and analytics services. Customer service is changing. Customer expectations are rising.

Faster response times, better service, faster time to resolution are basic expectations bundled with inbound requests. EdgeTier combine domain knowledge with specialist technical skills to deliver high-impact statistical insights, predictive models and data-driven business advice.

Arthur is EdgeTier’s automated agent assistant which works seamlessly with customer service agents to answer customer queries more efficiently and accurately, yet retaining a personal touch for every customer.

Arthur uses cutting edge analytics, machine learning, automation, and artificial intelligence technology to generate personalised and accurate responses to every customer query. Customer contact centres using Arthur are seeing reductions in average handling times of up to 80% for inbound customer queries – get in touch with us now to see how Arthur can revolutionise your contact centre.

Deciphex is developing digital pathology software applications, for clinical and toxicologic pathology Their applications improve productivity and help pathologists focus on the critical content.

The pathology industry is beset with increasing caseload and diagnostic complexity, against a globally declining number of pathologists to service the workload.

Digital Pathology, seen as a great potential for productivity enhancement, has not fully delivered on that promise. Some ROI studies have, at best, demonstrated marginally positive return on investment with others demonstrating negative impact on cost post implementation.

Deciphex believes that digital pathology, combined with artificial intelligence, will help make pathologists work more efficiently in the future, and offers a solution to the pending crisis in supply/demand in pathology services.

Deciphex plans to be at the forefront of the digital pathology revolution with cleverly-positioned solutions that deliver on the biggest problems facing pathology today.

CitySwift is the specialist data engine that powers modern public transport networks.

CitySwift is the specialist data engine that powers modern public transport networks. Created and supported by industry experts, it uses big data and machine learning to drive efficiency, passenger satisfaction and growth.

The CitySwift platform augments and seamlessly integrates with existing public transport technology systems, providing a deeper understanding of network performance and enhanced network planning with significantly reduced timescales.

Instantly visualise and automatically report a customisable suite of detailed reliability, efficiency and demand metrics; accurately predict journey times and passenger demand; and create optimised timetables for improved service delivery and increased passenger satisfaction.

RecommenderX is an AI company specialising in developing cutting-edge data analytics and recommender systems solutions for the enterprise market.

RecommenderX was founded in May of 2016 with the goal of making it easier for companies to be data-driven.

The RecommenderX SaaS platform is empowered with the best machine learning, recommendation, and data science technologies, which can be repeatedly applied to customer problems in different domains. Automating the repetitive tasks enables companies to become more efficient, freeing up their teams to focus on improving their understanding of their business problems and really driving change.

The success of RecommenderX has been recognised in a number of different ways. In June of 2017, they were one of only six companies worldwide to be accepted into the Mastercard Start Path program. In September of 2017 RecommenderX won the DatSci award for Best Use of Data Science by a Start Up, recognising our contributions to the market in terms of data science and AI.