Inclusion in the Pegasus Program is particularly relevant for Zenity given the company’s additive security and governance controls for Microsoft customers who are heavily adopting popular Microsoft business productivity tools like Microsoft 365 Copilot, Copilot Studio, Power Platform, and Fabric, among others. This positions Zenity to provide further value to Microsoft customers by:

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This announcement marks a significant milestone for the company. The rebranding to Teammates.ai coincides with a strategic shift to provide enterprise-grade AI solutions and an expanding collection of Teammates. The first Teammate, Raya, was launched in 2024, focusing on customer service. Its capabilities include voice calling, inbox management, and seamless software integration allowing it to effectively support every function of the role.

Alongside Raya, the company is launching its second Teammate, specialized in Inside Sales. With superior language competencies and an Arabic user interface, every Teammate has leading AI capabilities that allow them to speak and understand over 50 languages, including every dialect of the Arabic language; a first for the MENA region.

Expressing his excitement over the launch, Kareem Ayyad, Founder and CEO of Teammates.ai, said: “Rebranding to Teammates.ai marks a defining moment in our journey to transform how businesses leverage AI. Raya and our newly launched Sales Teammate are just the beginning of a broader AI Workforce—designed to work alongside human teams. We’ve already seen how this approach cuts costs, amplifies productivity, and empowers employees to focus on higher-impact challenges. This is only the beginning—each new AI Teammate pushes the boundaries of what’s possible for modern enterprises.”

Elizabeth Yin, General Partner at Hustle Fund, added: “2025 is the year of AI Agents, and Teammates is making work easier for people to become more efficient in their jobs. We’re super excited for their launch!”

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Why it matters: This new research follows an August 2024 study published by Slack that found SMBs can lose valuable time to technology inefficiencies, uncovering a need for AI solutions that boost productivity.

One such example is reMarkable, a rapidly-growing Norwegian premium paper tablet scale-up that chose Salesforce’s Agentforce to scale their customer service operations. With Agentforce, reMarkable will be able to handle a soaring volume of customer inquiries, providing a white-glove experience at scale by proactively addressing common questions and seamlessly escalating complex issues to human agents. With humans and agents working together, reMarkable can quickly and cost-effectively scale customer service without compromising quality.

The Salesforce perspective: “AI and agents are reshaping what’s possible across business functions like marketing, sales, service, and commerce,” said Kris Billmaier, EVP, Salesforce. “SMBs adopting AI are seeing significant returns and doubling down on their investments. Their success is creating a blueprint for how small businesses can leverage AI, including Agentforce, a new layer on the Salesforce Platform that enables organizations to build and deploy autonomous AI agents, to drive growth.”

AI investments are a sign of growth
Today, 75% of SMBs are at least experimenting with AI, with growing businesses leading in adoption (83%). This gap appears set to widen — 78% of growing SMBs plan to increase their AI investment next year, versus 55% of their declining peers.

The different approaches reflect broader business priorities: while stagnant and declining SMBs focus primarily on customer acquisition, growing SMBs invest in improving the customer experiences and technology capabilities that drive sustainable growth.

SMB leaders who haven’t adopted AI may have a blind spot about its prevalence: While 80% of those using AI believe the technology is commonly used among their peers, only a third of non-users agree.

“AI is leveling the playing field between SMBs and larger enterprises,” said Billmaier. “Small and medium-sized businesses using AI see real returns across their operations, from improved efficiency to stronger customer relationships. Those who wait too long to invest risk falling behind as early adopters build their advantage.”

SMBs call AI a ‘game-changer’
SMBs with AI have a bright outlook for the technology: 78% say it will be a game-changer for their company. Already, 87% of respondents with AI say it helps them scale operations, while 86% see improved margins. The technology is transforming both customer-facing and operational functions, with top use cases including:

1. Marketing campaign optimization
2. Content generation
3. Automated recommendations for customers
4. Natural language search tools
5. Automated service chatbots

Service teams are also reducing case resolution times, while sales teams are using AI to automatically draft personalized prospecting emails and recommend next best actions for reps. Meanwhile, marketing teams are increasing conversion rates with AI-based lead scoring, decreasing unsubscribe rates through automated email lists, and more.

How leading SMBs maximize AI success
The research also identifies clear patterns in how successful SMBs approach AI implementation.

Data Foundation First
AI systems are trained on and continuously use data, so data quality directly determines results; inaccurate data can lead to harmful flaws. Seventy-four percent of growing SMBs are increasing data management investments, compared to 47% of declining SMBs.

“Some people don’t really understand how data is going to impact the business in the future,” said Dan Atkinson, COO & Co-Founder of Salesforce SMB customer MedLogiq. “It’s about how this data will be valuable to the company five years down the road. We want to make sure we’re not losing that information.”

Integrated Approach
When systems work together seamlessly, AI can access and act on data across the entire business, from sales and marketing to service and the back office. Compared to SMBs with declining revenue, growing SMBs are twice as likely to have an integrated tech stack (66% vs 32%), dodging the problems of siloed data and inefficiencies common to having many standalone applications.

Security and Trust
Security ranks as the top technology challenge for SMBs, reflecting the growing stakes of managing sensitive business data as SMBs expand their AI capabilities. This shapes their purchase decisions: 81% of SMB leaders say they would spend more on technology from trusted vendors.

The next wave: AI agents
The foundations SMBs are building today — such as data management, integrated systems, security, and trusted partnerships — also position these companies for the next wave of AI: agents that can learn, adapt, and take action across the business.

“When SMBs follow AI best practices, they’re not only optimizing their current technology. They’re also positioning themselves for the emerging era of AI agents, in which agents can execute work by searching for relevant data, analyzing this data to formulate a plan, and then actioning the plan — without human intervention,” said Billmaier. “SMBs that have built strong foundations are perfectly positioned to tap into solutions like Agentforce to augment their staff, scale their workforce, and lower costs.”

For more information, please read the full report.

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Mindflowʼs investors secured robust financial backing and invaluable insights and guidance from key figures in the IT, cybersecurity & tech ecosystem.

“From the moment I saw Mindflow’s platform, I knew it was a game-changer. Its ability to automate complex processes effortlessly is truly impressive. And with the integration of Gen-AI Large Action Models, the potential is beyond extraordinary“, says William Lecat, Partner at Auriga Cyber Ventures.

“We are convinced that multi-billion-dollar tech companies will emerge in the enterprise automation space made of AI agents and we are fully committed to being at the forefront of this race,” asserts Paul-Arthur Jonville, Co-founder & CEO.

Mindflow addresses the need for hyperautomation across IT & Cybersecurity teams
The IT & Cyber landscape is grappling with talent shortages, a rise in complex cyber alerts, and a surge in tool usage, with large companies averaging 473 tools—a 26% yearly increase (Gartner). This complexity results in an overwhelming task and alerts volume, diverting valuable human intellect to monotonous tasks.

Cybersecurity experts dedicate 30% of their time to tasks AI could automate, amidst a global shortfall of 3 million talents needed in the industry.

Thus, automating operations has become critical.
Mindflowʼs intuitive no-code automation and orchestration platform already makes it extremely easy for technical and non-technical users to build, adjust, and monitor automation flows.

Major companies, including Auchan, Colas, Thales, Elior and Doctolib, already utilize Mindflow to automate phishing detection and neutralization, security incident response, vulnerability identification, CMDB management, IAM and employee offboarding processes…

“We have never encountered a platform like Mindflow that allows SOC & IT teams to automate such a wide range of use cases so easily. The platform has almost no limits and can adapt to any environment”, adds Eric Lexcellent, Security Operations Director at Doctolib.

Enable the focus on high-value human expertise by automating mundane tasks
These funds will be allocated to augment its existing R&D team, already staffed with top-tier engineers and AI PhDs, by bringing in additional AI experts dedicated to advancing its cutting-edge AI capabilities and making the best of Gen-AI’s next big thing: Large Action Models (LAMs).

According to Gartner, “we are moving from what machines can do for us to what machines can be for us. Machines are evolving from being our tools to becoming our teammates. Gartner predicts that by 2025, Gen-AI will be a workforce partner for 90% of companies worldwide.”

Large Action Models (LAMs) are developed to understand complex human goals expressed in natural language, translate these intentions into actionable steps and respond in real-time.

Beyond language comprehension, LAMs can also learn to engage and perform actions within the whole information system. Mindflow is setting the pace with an unfair advantage in this area: a catalogue of 600+ product integrations covering 100,000 actions.

The infusion of advanced LAMs technologies further elevates the platform’s capability to build autonomous AI agents, capable of executing specific tasks, under human supervision, allowing for an almost complete delegation and operational efficiency.

“Mindflow will create a new text-to-actions experience. Simply prompt what you wish to accomplish, and our AI handles the tedious parts, managing tasks across your tools and bringing in human approval for critical decisions. It’s all fully auditable to keep things transparent and compliant. It’s designed to let you focus on what truly matters,” says Fabrice Delhoste, Co-founder and CTO.

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