Meet Pixis AI: A Startup Offering No-Code AI Solutions

Training AI models requires large volumes of information. But not all information is equal. The data to train the model must be free of errors, correctly formatted and labeled, and reflect the problem. This can be a difficult and time consuming process. It can be challenging to debug AI models when they don’t work as planned. This is because the models are often complex and several factors can contribute to a malfunction. Another possible source of errors is the training data used to create the models. There are always new developments in the field of artificial intelligence. Because of this, keeping up with new developments can be challenging. In addition, the hardware needs of AI systems are increasing, making it difficult to run AI models on older or less powerful machines. Only some difficulties can arise when writing programs using AI components.

There are a variety of solutions/products on the market today that can help with the difficulties associated with coding AI structures. For example:

• No-code or low-code environments. Users of these systems can build AI models without touching a line of code. They usually come with a graphical user interface that streamlines the training and model creation processes.
• Machine learning and AI hosting services. Cloud-based AI models and services are available through these platforms. Companies without the manpower or funds to create and maintain their AI models can benefit.
• Experts in artificial intelligence. Numerous AI experts are available to help companies solve AI problems. Whatever you need, from learning the fundamentals to putting them into practice, AI can help.

Pixis AI Solutions enable AI-powered decision making for cross-platform performance and growth marketing. Clients are taking advantage of the company’s no-code AI infrastructure, which uses self-evolving neural networks specifically designed to meet and replace their marketing objectives. The young company successfully closed a $100 million Series C funding round in 2022 for its robust no-code AI infrastructure, which aims to enable brands to scale all aspects of their marketing and efficiently increase their decision making. Since its last round of funding, Pixis has introduced more than 120 new AI models to the infrastructure, bringing them closer than ever to reaching their benchmark of 200 proprietary AI models. These AI models provide marketers with robust, out-of-the-box AI products without having to write a single line of code. Additionally, Pixis’ distributed team of more than 300 people is focused on creating incredibly transformative AI products to help clients get the most out of their marketing and demand generation efforts.

More than 100 global Pixis customers are using its AI offerings. Users of the Pixis AI infrastructure have reported monthly savings of at least 300 hours of manual labor, plus a minimum 10-15% reduction in customer acquisition costs. The brand promises customers immediate activation of the AI ​​without the need to write a single line of code.

Pixis No-Code AI Infrastructure for Performance Marketing: A Gist

directed AI

Pixis Targeting AI, trained on billions of data points, uses cutting-edge neural networks to deliver the most relevant cohorts for brands, and it gets better and better over time.

Brands can leverage user personas derived from conversion trends, behavior patterns, engagement levels, and other contextual insights to adjust targeting parameters and techniques. The infrastructure supports customer relationship management (CRM) platforms, attribution platforms, design tools, and web analytics seamlessly.

To improve targeting accuracy, Targeting AI uses unique clustering algorithms to build highly relevant cross-platform audience cohorts and uses target audience knowledge to guide marketing efforts in terms of creativity and optimization.

creative AI

Pixis Creative AI improves engagement and conversion rates across all platforms by enabling clients to use its proprietary generative AI models to create engaging, relevant, and contextual visual and static assets.

Make it easy to get feedback on the effectiveness of your creative efforts so you can adjust future campaigns to improve conversion rates. Increase engagement and sales by enabling people-based creative consulting across all channels. Through continuous feedback-based creative optimization, Creative AI continually improves the contextuality of communication.

performance AI

Integrate contextual learning from past campaign data, seasonally-based patterns, attribution, analytics, and real-time performance data into an AI-powered marketing infrastructure that orchestrates intelligent decision-making across all channels.

Brands can automatically assign and reallocate offers and resources with the infrastructure that also contains converging multi-target AI models that detect micro-trends across all channels. The goal is to maximize return on ad spend with real-time, performance-based budget reallocation.

Track AI and analyze spend and return on ad spend (ROAS) during peak traffic hours, predicting the best budget pacing techniques for future campaigns. Use hyper-contextual AI models to find the sweet spot between budgeting and KPI optimization.

Highlights of Pixis AI

● Strategy, optimization and cross-platform performance monitoring

● Save brands the hassle of targeting mass audiences by enabling AI-powered targeting and delivery.

● Quickly produce creative variants at scale.

● Send timely, relevant and contextual messages.

● With Pixis, clients can instantly scale their marketing innovation, efficiency and optimization.

• DHL Express: 49% cost savings across all campaigns with a 35% increase in CTR
• Joe and the juice: Improved your Conversion Rate (CVR) by 14%
• CARSOME: Reduce your cost per lead by 40% with AI.
• Clear: Reduced your Cost Per First Transaction (CPFT) by 29%
• madison world: Improved performance for various clients. Madison was able to leverage Pixis’ AI infrastructure to scale campaign efforts for her multiple clients without breaking the bank.
• OMG Media: Improved performance for various clients. Pixis’ AI infrastructure helped media agency OMG help its various clients achieve their unique goals simultaneously across all platforms.
• Skoda: 35% CPL improvement on Octavia and Superb models combined

References:

Note: Thanks to Pixis AI Team for the thought leadership/educational leadership article above.