Pyxis One | September 16, 2021
Pyxis One, a California-based tech startup that aims to revolutionize marketing and consumer intelligence by providing an all-in-one, codeless AI platform, closed $17M in Series B funding. With total funding of $24 million, the tech startup plans to use this round of capital for investments in product development, and to expand to new markets.
Celesta Capital and Premji Invest co-led the round with participation from previous investors Chiratae Ventures, pi Ventures, and Exfinity Venture Partners. “Every enterprise is either already rearchitecting themselves to adopt AI, or are dependent on one or more AI-driven platforms,” said Atul Gupta, Partner at Premji Invest. “Pyxis One stands out by helping consumer-first enterprises adopt AI for their marketing and business growth without having to disrupt the business at all.”
Pyxis One enables enterprises to scale accurate data-driven marketing. The startup’s codeless AI ecosystem comprises dozens of AI models deployed across different aspects such as targeting, optimization, creative recommendation, and consumer research, enabling a complete ecosystem that can help teams collaborate, and leverage capabilities enabled by the adoption of AI.
The real clincher is that our ecosystem of products are completely codeless thereby easing the adoption of AI for our customers. Our series B funding will allow us to aggressively pursue the development of more AI models to strengthen the infrastructure and expand into newer markets.
Neel Pandya, CEO - APAC at Pyxis One
“Modern businesses are looking to use advanced elements of artificial intelligence and machine learning to deliver targeted and effective marketing,” said Sriram Viswanathan, Founding Managing Partner at Celesta Capital. “These capabilities are important for enterprises looking to benefit from next generation marketing technologies. Pyxis One’s platform delivers on this promise, and we are delighted to back this team to realize this potential.”
The company is looking to add over 200 AI models to the AI infrastructure over the next two years. These AI models are trained with billions of cross-industry data points that brands from every industry can utilize. The platform also future-proofs AI structure and deployment to inherit new models and customize them without any rework.
"Marketing can become 10 times more efficient if every team that plays a role in appealing to consumers can collaborate and work together using precise AI-driven insights," says Shubham A Mishra, Global CEO of Pyxis One. “With AI’s agility and scalability, we bridge the gap between marketers and data scientists, and enable them to make better decisions in the backdrop of accurate and dynamic consumer insights. The new funds will enable us to speed up product development, hire more AI experts and data scientists, and expand our sales and marketing to additional markets.”
The AI SaaS startup has witnessed a 550% growth since its inception in 2018 and has a customer base across different industries including retail, automotive, healthcare, finance, and food tech. These customers are witnessing at least a 30% increase in their marketing efficiency and consumer intelligence, on average.
APAC CEO, Neel Pandya shared, “the real clincher is that our ecosystem of products are completely codeless thereby easing the adoption of AI for our customers. Our series B funding will allow us to aggressively pursue the development of more AI models to strengthen the infrastructure and expand into newer markets.”
About Pyxis One
Pyxis One is a California-based tech startup that provides codeless AI infrastructure to enable customers to scale accurate data-driven marketing. The company's codeless AI infrastructure currently comprises dozens of proprietary AI models deployed across a robust ecosystem of products - Pyxis Insights, Pyxis CoCreate, Pyxis Performance, and Pyxis Social. This ecosystem enables CMI professionals, creative professionals, and marketers to collaborate seamlessly to scale marketing against the backdrop of rich consumer and market insights.
Dataiku | June 15, 2021
Dataiku is going downstream with a new product today called Dataiku Online. As the name suggests, Dataiku Online is a fully managed version of Dataiku. It lets you take advantage of the data science platform without going through a complicated setup process that involves a system administrator and your own infrastructure.
If you’re not familiar with Dataiku, the platform lets you turn raw data into advanced analytics, run some data visualization tasks, create data-backed dashboards and train machine learning models. In particular, Dataiku can be used by data scientists, but also business analysts and less technical people.
The company has been mostly focused on big enterprise clients. Right now, Dataiku has more than 400 customers, such as Unilever, Schlumberger, GE, BNP Paribas, Cisco, Merck and NXP Semiconductors.
There are two ways to use Dataiku. You can install the software solution on your own, on-premise servers. You can also run it on a cloud instance. With Dataiku Online, the startup offers a third option and takes care of setup and infrastructure for you.
“Customers using Dataiku Online get all the same features that our on-premises and cloud instances provide, so everything from data preparation and visualization to advanced data analytics and machine learning capabilities,” co-founder and CEO Florian Douetteau said. “We’re really focused on getting startups and SMBs on the platform — there’s a perception that small or early-stage companies don’t have the resources or technical expertise to get value from AI projects, but that’s simply not true. Even small teams that lack data scientists or specialty ML engineers can use our platform to do a lot of the technical heavy lifting, so they can focus on actually operationalizing AI in their business.”
Customers using Dataiku Online can take advantage of Dataiku’s pre-built connectors. For instance, you can connect your Dataiku instance with a cloud data warehouse, such as Snowflake Data Cloud, Amazon Redshift and Google BigQuery. You can also connect to a SQL database (MySQL, PostgreSQL…), or you can just run it on CSV files stored on Amazon S3.
Subex | November 05, 2020
To enable fraud mitigation and drive operational efficiencies for communication service providers by reducing compliance complexities and faster time-to-market
5th November 2020, BENGALURU, INDIA – Tech Mahindra, a leading provider of digital transformation, consulting, and business re-engineering services and solutions, and Subex, an industry leader in providing services based on Digital Trust, have announced strategic partnership to roll-out blockchain based solutions for telecom operators globally. These solutions will enable fraud mitigation and drive operational efficiencies for communication service providers (CSP) by reducing compliance complexities and faster time-to-market.
The partnership will enable real-time reconciliation reports with summarized data to minimise discrepancies, leading to reduction of multiple validations and quick dispute resolution through tamper-proof verifiable transactions. Further this collaboration will expedite settlement for communication service poviders (CSPs) and drive enhanced visibility in the end-of-the-month billing cycle. The CSPs will benefit from enhancedoperational efficiencies by leveraging blockchain based smart contracts and forge more impactful alliances to drive trust amongst diverse stakeholders.
Rajesh Dhuddu, Blockchain and Cybersecurity Practice Leader, Tech Mahindra, said, “Being a service provider of choice for global telecom operators, Tech Mahindra will help reduce overheads and enhance business profitability. As part of TechMNxt Charther, Tech Mahindra aims to offer a cutting-edge solution built on Blockchain and smart contracts that optimizes spends and proactively mitigates disputes. In the collaboration with Subex, adding blockchain as the middleware will add the necessary layer of security and ensure faster and efficient operational process. ”
Prnewswire | August 28, 2020
Google Cloud and Simple Technology Solutions (STS)—a Google Cloud partner and small business specializing in multi-cloud solutions for the federal government—today announced they are working with the U.S. Navy to modernize the maintenance and repairs inspection process for Navy vessels and facilities. STS will use Google Cloud artificial intelligence (AI) and machine learning (ML) technologies on inspection drone-captured images to detect, prioritize, and predict its maintenance needs. The work was awarded to STS as a Phase I Small Business Innovation Research project due to the technology innovation and potential for commercialization.