Bolt IoT platform raises $40K in crowdfunding from its Kickstarter campaign

Bolt, an integrated IoT hardware kit comprising of Bolt WiFi chip, Module, Cloud, mobile apps, and APIs launched its Kickstarter campaign and raised $ 40,000 pledged of $ 10K goal through 875 backers.

Bolt Hardware

A key differentiation of Bolt from other IoT kits is the former’s cloud platform has machine learning algorithms that users can run on their sensor data. The other aspect is that Bolt has ‘packaged’ the IoT development hardware and software in a way that lets developers launch a project from zero using the Bolt solution.

The Kickstarter offers by Bolt starts from the basic $ 17 Bolt IoT platform and upsells to $ 650 legendary kit. Typical use cases of Bolt platform are home automation, temperature monitoring, soil monitoring, and other real-time monitoring use cases.

Smartphone App

A complete feature list of the platform can be accessed on Bolt’s campaign page. The product is primarily aimed towards makers, hobbyists, and developers planning to build an IoT product (with ML capabilities baked in). Third party services like Twilio, Mailgun, Zapier, and IFTTT can be appended to Bolt and lets developers make custom made alert/notification systems.


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IoT product development platform Seebo banks $16.5M Series A

Seebo, a cloud-based IoT product development platform announced today an $ 8M extension of its Series A funding. Returning investors TPY Capital and Viola Ventures led the latest round. Other investors that participated in the investment include Pritzker Group Venture Capital and Japan’s Global IoT Technology Ventures.

The latest round brings Seebo’s Series A funding to $ 16.5M and the total investment to $ 22M since its launch in 2012. The company will use the funding proceeds to bring onboard partners and incorporating new business solutions in its industrial IoT platform.

“We’ve succeeded in driving customer adoption and outstanding product value. Today we see a surge in market demand from industrial companies – from metal mining companies to machinery and industrial lighting manufacturers – in addition to top-notch B2C brand manufacturers that we continue to serve.”Seebo CEO and co-founder Lior Akavia

Participation by the returning investors TPY Capital and Viola Ventures show that Seebo’s investors have confidence in the company’s performance and the growth plan it has laid down. Executives from both the investment firms observed that the company has the ability to reach enterprise and startup customers globally.

Companies looking to add IoT-functionality to their existing products or startups planning to launch new products with embedded-IoT features can utilize Seebo’s IoT development platform.

The platform supports IoT modeling, prototyping and simulation, system launch, and analytics. Other IoT-platform companies such as Carriots (now acquired by Altair) and Prodea (now part of Arrayent) also provide IoT-enablement features for consumer products and enterprise companies. However, Seebo goes an extra mile by providing an ‘idea-to-market’ ecosystem for product/service developers. It provides integrated features to help generate BOM (bill of materials), estimates the cost of the whole solution, drags and drop features/functions, and connectivity to factories and component vendors.

Seebo boasts having customers such as Stanley Black & Decker and Ralph Lauren as well as several upstart consumer brands.


Postscapes: Tracking the Internet of Things

Smart home platform revenue to touch $39.5 billion in 2026, projects Navigant Research

A new Navigant Research report has projected that smart home platform revenue globally will reach $ 39.5 billion in 2026 from the present worth of only $ 4.2 billion.

At the time when consumers are getting more and more conscious about smart home technologies, the report analyses the global smart home platform with focus on residential IoT hardware, software, services, and smart home platforms. It also discusses the issues associated with the smart home market including value propositions, market channels, and drivers and barriers as well as key devices and technologies.

According to the report titled “The Smart Home”, adoption of the smart home platform among consumers is motivated by several factors such as tech incumbents, telecommunications providers and security providers. It is also held that these stakeholders are putting their existing footprint to involve in the smart home market resulting in increased availability smart home devices.

Paige Leuschner, research analyst with Navigant Research, said: “The concept of a smart home has the potential to revolutionize the way we interact with our homes and the grid. Homes that act intuitively and intelligently through a comprehensive ecosystem of hardware, software, and services not only enrich consumers’ lives, but also play a role in the transition to the Energy Cloud.”

Meanwhile, another Navigant Research report has projected that combined cumulative revenue for Industrial Internet of Things (IIoT) devices, software and services worldwide will surpass $ 1 trillion by 2027. According to the report, enterprises will the main drivers behind this trend as they realise the truth value of IIoT, which leads to decreased costs and increased equipment maintenance.

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Real-time medical imaging AI platform Lunit Insight to aid radiologists

Real-time medical imaging AI platform Lunit INSIGHT

Top international medical AI company Lunit has unveiled a new medical imaging AI platform that enables nodule detection and consolidation in seconds, with near-perfect accuracy.

Chest x-rays and mammography are among the most used diagnostic imaging tests conducted and are vital to the detection of lung and breast cancer. However, the accuracy of traditional methods often falls short of modern expectations. Over 25 percent of lung cancers and 15 percent of breast cancer cases are missed by chest x-ray.

Even the most experienced radiographers stand to benefit from the machine learning capabilities of AI image analysis software. These AIs are given access to a wealth of training data, spotting trends and minute abnormalities that the human eye is simply unable to detect. This sort of complex visual pattern recognition is the perfect candidate for AI assistance, thanks to advancements in deep learning.

Founded in 2013, in South Korea, Lunit develops advanced medical image analytics and novel imaging biomarkers. Their INSIGHT platform claims to be the first ever real-time imaging AI analytics on the web.

Read more: Mako Robot-assisted joint replacement transforms orthopedics

How Lunit’s medical imaging AI platform works

Lunit INSIGHT has been trained with a huge collection of anonymous clinical data from 18 partner hospitals, totalling over 1 million case images.

Using this data, the AI algorithms have learned to detect target diseases and significant radiologic findings, including lung cancer, tuberculosis, pneumonia, pneumothorax, and breast cancer for chest x-ray and mammograms.

“Lunit’s vision is to develop advanced software for medical data analysis and interpretation that goes beyond the level of human vision,” said Anthony Paek, CEO of Lunit. “In presenting Lunit Insight, we hope to contribute in opening a new era of medical practice, by helping and empowering healthcare professionals to make more accurate, consistent, and efficient clinical decisions for the patients.”

Read more: New wearables options for UnitedHealthcare customers

The benefits of AI in medical imaging

When even the latest image recognition AIs can mistake tortoises for guns, the thought of relying on AI to diagnose life-threatening diseases can sound unnerving. Yet, Lunit’s new cloud based AI medical imaging software boasts 97 percent standalone accuracy in nodule detection and 99 percent for consolidation and pneumothorax (the presence of air or gas in the cavity between the lungs and the chest wall).

The Lunit Insight platform is publicly accessible. Anyone can log in and upload x-ray images, which the AI will assess in seconds and return its findings, including the level of abnormality and a visualisation of the AI’s attention map.

Additionally, Lunit solutions can be easily integrated in SaaS API and library incensing format to merge the technology with existing workflows. Nuance, EnvoyAI and Infinitt Healthcare are among the companies set to integrate the software.

Read more: Abilify IoT-enabled digital pills approved amid privacy concerns

Future uses of AI in medical imaging

The chest radiography tool is already available, but the mammography component is timetabled for release early next year. It will detect suspicious breast cancer lesions. Lunit is also looking to develop other medical imaging AI solutions for digital breast tomosynthesis, chest CT, and coronary CT angiography.

Lunit’s AI solutions have been proven to increase the diagnostic performance of its users by up to 20 percent, with non-radiology physicians benefitting from the software significantly. The technology isn’t designed to replace the diagnosis of medical professionals, merely to augment their conclusions – particularly in less definitive cases.

The medical imaging AI company hopes to obtain clinical validation in the coming months. “Large-scale multi-center reader studies are set to be conducted in early 2018,” said Suh, Chief Medical Officer of Lunit. “These are the studies with multiple leading hospitals in Korea and the US for Lunit’s chest x-ray and mammography solutions; publication of the results is targeted for late 2018.”

Likewise, Food and Drug Administration (FDA) approval for Lunit’s chest x-ray and mammography solutions are expected around the same period.

The platform has been ranked in the ‘Top 100 AI Start-ups’ by CB Insights and listed in the ‘Top 5 AI start-ups for Social Impact’ by Nvidia, so it’s gaining attention in the healthcare world and the wider technology space, and justifiably so. The solution’s capability and ease of use has been demonstrated and, with over 1 billion chest x-rays performed worldwide each year, its potential to impact patients’ lives is immense.

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AI Enabled Pharmacy Platform RedBook going Aggressive

RedBook proprietary AI engine is used by over 500 pharmacies in Mumbai. It acts as a tool that offers deep insights on drug consumption patterns. It is being piloted by India’s leading drug makers to eliminate age old, error prone manual processes of data collection & analysis and decision making.

For pharmacies, RedBook frees up resources & time and increases business by over 15% with several intelligent features. The funds will be used to scale pharmacy platform RedBook pan India.

RedBook offers integration with distributors and online ordering facilities. It also provides auto sync for offline use, timely information on stock expiry, and micro-level insights on consumers enables pharmacies to focus on offering a truly personalized service to their consumers.

Ankit Solanki, Co-Founder & CEO, Instinct Innovations, says, “Re-wiring the pharma supply chain with RedBook is only the first step in achieving our long-term vision. We aim to create a healthcare ecosystem that is seamlessly integrated via technology. The emphasis is on using machine learning & AI driven cognitive intelligence to make the supply chain more efficient.”

“By focusing on the pharma supply chain, RedBook is helping the healthcare system to become more patient-friendly and efficient.” says Dr Aniruddha Malpani.

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