Monetizing Generative AI: Strategies for SaaS Companies L E.K. Consulting

Blueshift supports businesses in providing linked, relevant experiences during all client interactions. To unify, inform, and activate the completeness of customer data across all channels and apps, its smarthub CDP utilizes proprietary AI technology. Brands are provided with all the resources necessary to offer experiences in real time throughout the whole consumer journey. By uncovering hidden knowledge in data, offering in-depth justifications for model choices, and giving businesses visibility into their AI systems, engaged AI speeds up the advancement of AI.

After spending time living in New York and working for NBC Universal’s first digital operations team Daniel moved to Austin in 2009 to further pursue ad tech. During the next decade, he built a career working on interactive video first for Sizmek and then Nexstar. He immediately jumped at the idea to work for KERV and was one of the first to join the company in 2017. The first metric to index the quality of time users spend interacting with digital video assets.

The Best AI Tools for Sales

Take a look at linear programming and AI — one would think that to achieve reasoning, one could simply extend on what we’ve achieved mathematically to arrive at the right answers using optimization, but now scaled significantly with AI. Finally, these platforms expedite the prototyping and experimentation of generative https://www.metadialog.com/saas/ AI solutions. Organizations can swiftly develop and assess these solutions’ suitability for specific use cases, without the commitment of extensive long-term resources. The obvious gains, he said, are that AIaaS removes the formidable obstacles for both individuals and businesses eager to use AI’s potential.

• It is also a way for SaaS vendors to address various risks they will encounter from their wider use of AI.
• Scale is also a leading provider of AI solutions for federal, defense, and public sector use cases in the government.
• Statistics and analysis are used by businesses to better understand market trends, find the best applicants, and hire important personnel who can provide direction, improve the accuracy of data analysis, and create data network effects.
• We analyze the physical interactions that occur within your company, forecast the future, and optimize.
• The real-time discussions between brands and their consumers may be supported by Dixa’s conversational customer engagement software across email, phone, chat, and messaging.

When paired together, vertical software can solve mission-critical, vertical-specific workflows that drive customer stickiness, while embedded fintech solutions can become revenue accelerators using adjacent transaction flows. Not surprisingly, horizontal SaaS has long been one of the most attractive areas for software investors. Applications that solved for industry-agnostic problems promised larger TAMs and the potential to evolve into true platforms (e.g., Salesforce for CRM, Coupa for procurement, Bill.com for accounts payable). While there are incredible horizontal platforms yet to be built, we are increasingly bullish on vertical solutions. Multiple converging dynamics have informed our conviction that Vertical AI is the New Horizontal.

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There are startups doing synthetic data generation for autonomous vehicles, so it doesn’t feel all that far-fetched to imagine a world where this happens to most forms of data. Even in the case where synthetic data doesn’t cut it, we think it’ll be incredibly challenging to put up walls around your data—LLMs will find their way in. Most people are saying that AI will be an extinction-level event for software companies. Many will not make it, while some will emerge more powerful and more profitable than ever. This is informed by countless company discussions, and two separate meetups we hosted with 25+ late-stage software companies we respect. Some of this is almost certainly wrong, but putting this into the public eye is meant to be a cringe test.

Although already seemingly ancient history, a comparison to the transition from command-line interfaces (CLIs) to graphical user interfaces (GUIs) might not be too far-fetched. Prior to GUIs, interactions with computers required a deeper understanding of command-line syntax, which was often intimidating for the average user. GUIs introduced visually intuitive elements like windows, icons and menus, which allowed users to engage with software in a more instinctual, point-and-click manner.

Future AI Integration Trends in SaaS

Hundreds of organizations utilize Crayon to get acute insights that are quickly accessible and put to use to create significant, quantifiable impact. With its corporate headquarters in Boston, Massachusetts, Crayon was established in 2014. Neglecting data quality may inadvertently jeopardize the accuracy of AI models, potentially resulting in regulatory issues and unforeseen expenses for retrospective data cleansing. They include Adobe, which uses AI to identify the root causes of anomalies in customer data, and Palantir, which uses AI to perform causal analyses of failures in the oil and gas sector. About 6% of SaaS vendors are currently testing causal AI for product use and 8% for operational purposes.

As McKinsey points out in its recent report on Generative AI, the Enterprise SaaS opportunity is tremendous and will advance the productivity of the enterprise sector to the next frontier. A number of use cases are predicted to benefit, with software engineering at the very front of value creation. While some of these offerings, like those offered by AWS, have a broad application that can then be customized, the industry-specific alternatives can be useful in unique, or specialized use cases. Fine-tuning augments the foundational architecture of a LLM with a custom layer of training data to achieve more nuanced, AI-generated results for a given use case. This allows organizations to refine pre-trained models for specific purposes without the need to build or overhaul expansive models, Brauer continued. One less obvious advantage comes from an important feature of these platforms known as fine-tuning, said Interzoid founder and CEO Bob Brauer.

Our Voice AI-powered call center automation technology, VIVA (Vernacular Intelligent Voice Assistant), aids businesses in streamlining contact center operations and enhancing customer experience and engagement. With the aid of our voice recognition engine and natural language understanding technology, you can now always have conversations that sound human and improve the efficiency of your self-service. Provus is a platform that provides revolutionary CPQ services solutions, built natively on the Salesforce Platform. Its unique AI-powered technology helps enterprise customers to accelerate turnaround time, grow deal sizes, and increase win probability faster – all while improving gross margins and mitigating compliance risk. Phenom is a global HR technology company with the purpose to help people find the right job and discover their true potential. They are a software company that transforms engage, attract, convert, and retains top talent through talent experience management.

Developers worldwide benefit from its collaborative environment, enabling them to work together seamlessly on shared codebases from any location. Our latest piece was actually written by yours truly, and I’m thrilled to share what I learned about the landscape of proprietary AI tools. This exploration was born out of the remarkable shift I observed in the branding landscape, where AI is no longer just a tool but a craftsman, creating bespoke solutions for modern brands. New AI startups have the unique chance to captivate users from the get-go by redefining user interaction.

CloudMinds Technology

Payrix enables vertically-focused SaaS companies to embed and manage payments natively within their software, securing additional recurring revenue and creating an awesome experience. Zuper enables organizations with field service teams to collaborate seamlessly and provide the best possible customer experience through its intelligent workforce and customer management platform. Creed Pettit is an entrepreneurial sales executive offering experience in all aspects of solutions selling, team management, negotiation, organizational leadership, go-to-market strategies and momentum driven models. Prior to joining KERV, Creed served as Media & Entertainment Vertical Sales Leader, Global Business Solutions at TikTok. Yes, our AI agents are powered by sophisticated Natural Language Processing (NLP) and machine learning technology, enabling them to understand and intelligently respond to complex customer queries. They can interpret context, comprehend intent, and provide relevant and precise responses.

Stargo, a privately held firm founded in 2010, seeks to change the freight forwarding and supply chain sectors by automating and improving routing and pricing in real-time in a matter of seconds. We provide dynamic optimized pricing and guaranteed payment (through a global banking network) using our Decision Support System (DSS), which has extensive artificial intelligence capabilities. This increases the effectiveness of the cargo shipping quote generation process and eliminates negative working capital on successful quotes. We employ our own big data, machine learning, and optimization algorithms running in the cloud to quickly adjust pricing from tens of thousands of international airlines.

Rockwell Automation

The tool is designed to automate and complete code wherever possible, provide coding suggestions, and do all of this work while also ensuring that all code and data remains secure and compliant. The tool emphasizes AI ethics as well, ensuring users know that it has only been trained on open-source data repositories with permission. InVideo is an AI video company that focuses on automating script, scene, voiceover, and overall video production. The platform is frequently used for digital marketing and content marketing projects, allowing users to transform blogs and other text prompts into YouTube, talking avatar, Instagram, and other types of engaging video content.

Using autonomous deep-learning neural networks that operate in real-time at petabyte scale, Argoid automates the data science of customer forecasts with outstanding accuracy and tremendous economy. Software-as-a-Service solutions have become increasingly popular for businesses due to their numerous advantages. SaaS has emerged as a game-changer, providing businesses with access to powerful applications and services through the cloud. These skilled individuals, both in proprietary and open-source development, provide the code that powers businesses globally.

Artificial intelligence (AI) and machine learning (ML) are now mainstream in SaaS platforms, with vendors using these technologies to enhance their products and automate tasks. At Creandum, we look for products and solutions capable of delivering a 10x better experience. Vertical AI undoubtedly holds the promise of deeper market penetration in underserved industries. However, we also firmly believe in taking bold bets that can topple the giants of the software world and give rise to a new generation of category defining companies.

The business model involves using machine learning models to forecast financial megatrends. Gong is a fast-growing provider of customer service, sales, and marketing solutions that focus on revenue and engagement intelligence and analytics. AI is infused throughout the platform and is used to provide contextual information and recommendations for customer interactions, as well as coaching for internal team members. The vendor also offers its Smart Trackers tool, which gives users the ability to train Gong’s AI to more granularly detect certain types of customer interactions and red-flag behaviors. Adobe is a SaaS company that primarily offers marketing and creative tools to its users.

The company is also leading the way with copilot assistive AI technology, giving users access to tools like MoveLM, an LLM that’s dedicated to employee support queries and tasks. Scale is an AI company that covers a lot of ground with its products and solutions, giving users the tools to build, scale, and customize AI models — including generative AI models — for various use cases. Scale is also a leading provider of AI solutions for federal, defense, and public sector use cases in the government.

Inflection AI labels itself as an AI studio that is looking to create advanced applied AI that can be used for more challenging use cases, like more fluent human-to-computer direct communication. While it has hinted at other projects in the works, its primary product right now is Pi, a conversational AI that is designed to take a personalized approach to casual conversations. The company is run by many former leaders from DeepMind, Google, OpenAI, Microsoft, and Meta. Think of these AI companies as the forward-looking cohort that is inventing and supporting the systems that propel AI forward. It’s a mixed bunch with diverse approaches to AI, some more directly focused on AI tools than others.