Where Vision Meets Engineering: The Founders Behind Aries AI

Every meaningful technology company begins with a belief that something important should work differently.

For Ahmad Obaidat and Waseem Barmo, that belief was simple: artificial intelligence should not remain an impressive demonstration, an isolated experiment, or another system that makes enterprise technology more complicated. It should understand real business challenges, work within the organization’s boundaries, and help people move from information to action.

That conviction became Aries AI.

Founded in Jordan with a regional and global ambition, Aries AI brings together two different but deeply complementary perspectives. Ahmad sees artificial intelligence through the lens of strategy, markets, organizational transformation, and measurable business value. Waseem approaches it through technology architecture, product engineering, security, scalability, and execution.

One begins with the outcome an organization needs to achieve. The other ensures the technology can deliver it reliably.

Aries AI exists where those two disciplines meet.

The Gap They Saw

The rise of generative and agentic AI created enormous possibility. It also created a growing distance between what artificial intelligence appeared capable of doing and what organizations could confidently deploy in practice.

Executives could see the potential, but many still faced fundamental questions:

• How can AI connect to existing data and workflows?
• How can it understand the context of a specific organization or industry?
• How can decisions and actions remain governed, traceable, and secure?
• How can AI support Arabic and multilingual operating environments?
• How can experimentation become a reliable business capability?
• Most importantly, how can the organization measure the outcome?

Ahmad and Waseem recognized that the market did not need more AI for the sake of AI. Organizations needed practical intelligence built around the way enterprises actually operate.

They needed systems capable of understanding signals, reasoning across context, supporting decisions, and moving work forward—while respecting enterprise policies, access controls, infrastructure requirements, and human accountability.

Aries AI was established to close that gap.

Ahmad Obaidat: Building from the Business Outcome Backward

As Founder and Chief Executive Officer, Ahmad Obaidat shapes the strategic direction of Aries AI.

His experience across artificial intelligence, data science, entrepreneurship, digital transformation, and enterprise consulting gave him a close view of a recurring problem: organizations often invest in advanced technology without creating a clear path from innovation to operational value.

Ahmad’s perspective begins with the business—not the model.

What decision needs to become faster? Which workflow creates unnecessary effort? Where is customer intelligence being lost? What prevents a team from acting? Which organizational outcome must improve?

These questions define the purpose of the technology before its architecture is designed.

This outcome-first mindset has shaped Aries AI as more than a collection of AI tools. The company is being built as an enterprise intelligence platform—one that connects specialized agents to organizational data, workflows, teams, and decisions.

Ahmad’s role is to keep the company focused on relevance. AI must not only be advanced; it must be useful. It must speak the language of the market, reflect the realities of regional enterprises, and create value that leaders can recognize and measure.

That belief is also central to Aries AI’s expansion: build from the region, solve genuine enterprise challenges, and create technology capable of competing globally.

Waseem Barmo: Turning Ambition into Architecture

If Ahmad defines the destination, Waseem Barmo builds the technological path required to reach it.

As Co-Founder and Chief Technology Officer, Waseem leads the company’s technology strategy, product architecture, AI innovation roadmap, and engineering direction. His background spans enterprise software, product engineering, cloud technologies, cybersecurity, conversational systems, large-language-model workflows, and agentic AI.

His responsibility is not simply to make a concept function. It is to make it dependable, scalable, secure, and ready for enterprise use.

Behind every elegant AI experience lies a complex set of decisions: how data is accessed, how context is preserved, how agents interact with systems, how permissions are enforced, how actions are approved, how multilingual intelligence performs, and how every important decision can be traced.

Waseem brings engineering discipline to these questions.

He translates a business vision into products that can move from research and development to production deployment. He connects engineering, product, and data-science teams around a shared architecture. He ensures that innovation does not come at the expense of reliability or control.

For Aries AI, this technical leadership is essential. The company is not building technology that merely generates answers. It is building intelligent agents expected to operate inside real organizations, where every action must respect business rules and every outcome must be trusted.

Different Strengths. One Standard.

Ahmad and Waseem do not approach a problem from the same direction—and that is precisely the strength of their partnership.

Ahmad challenges the company to understand the market, the user, and the business consequence. Waseem challenges it to prove the architecture, the logic, and the implementation.

One pushes toward possibility. The other protects feasibility.

One asks whether a solution will transform the outcome. The other asks whether it can operate securely and consistently at scale.

Their perspectives meet around one shared standard: Aries AI must deliver technology that is both ambitious and usable.

This balance protects the company from two common failures in artificial intelligence. The first is innovation without a clear business purpose. The second is technical execution without a compelling reason for the market to adopt it.

At Aries AI, strategy and engineering are developed together. The commercial promise must be technically credible, and the technical capability must produce meaningful business value.

Why They Established Aries AI

Aries AI was established around a shared conviction that the next generation of enterprise software will not be passive.

Traditional systems wait for people to search, filter, interpret, coordinate, and act. Intelligent agents can understand requests, connect context, surface priorities, recommend decisions, automate approved steps, and help teams complete work more effectively.

But Ahmad and Waseem also understood that enterprises would not adopt this future through a single generic assistant.

Organizations need specialized intelligence. Customer signals require a different operating model from data analytics. IT incidents require different controls from meeting intelligence. Enterprise knowledge requires different access boundaries from public information.

This thinking became the foundation of the Aries AI ecosystem: specialized agents that can deliver value independently while working inside one governed intelligence system.

Aries Reach turns stakeholder voices and experience signals into prioritized, accountable action. Aries Insight transforms enterprise data into accessible decision intelligence. Aries Ops supports intelligent IT service management and operational response. Aries Notes converts meetings into structured intelligence and follow-through. Aries Bot provides trusted access to organizational knowledge.

Together, these agents reflect the founding idea behind Aries AI: intelligence should not sit beside the enterprise. It should work across it.

Their Vision: Intelligence as an Enterprise Operating Layer

The founders’ vision extends beyond building individual AI products.

They envision a future in which enterprises operate through a connected layer of governed intelligence—one that can understand signals from customers, data, operations, meetings, and organizational knowledge, then coordinate the appropriate response.

In that future, AI does not replace organizational judgment. It strengthens it.

People remain responsible for purpose, policy, approval, creativity, relationships, and accountability. Intelligent agents reduce the friction around those responsibilities by bringing the right information, context, and action closer together.

For the Middle East and North Africa, this vision has an additional dimension. Organizations need enterprise AI that understands the region’s languages, operating environments, data expectations, industries, and ambitions.

Ahmad and Waseem want Aries AI to help define that future from within the region—not simply adapt technology created for somewhere else.

Their vision is for Aries AI to become a leading enterprise agentic AI platform from MENA: globally competitive, regionally grounded, and trusted by organizations that expect intelligence to produce measurable impact.

Their Mission: Make AI Practical, Governed, and Valuable

The mission of Aries AI is to simplify complexity, empower smarter decisions, and drive real business outcomes through intelligent AI solutions.

That mission is reflected in several commitments.

Practical before performative

Aries AI focuses on problems that matter to organizations. The measure of success is not how impressive a demonstration appears, but how meaningfully the solution improves work.

Governed by design

Enterprise intelligence must operate within clear boundaries. Identity, roles, permissions, approvals, deployment choices, data ownership, and auditability are part of the product—not later additions.

Connected to action

An insight that never reaches an owner creates little value. Aries AI is designed to move from signals and understanding toward decisions, workflows, and measurable outcomes.

Built for people

The company’s agents are intended to make complex intelligence accessible to executives, managers, specialists, and frontline teams—not only technical users.

Ready for the region and the world

Multilingual intelligence, flexible deployment, enterprise integration, and regional understanding allow Aries AI to address MENA requirements while building for international scale.

Building from Jordan with Global Ambition

Aries AI’s Jordanian foundation is part of its identity.

The company emerged from a market where organizations are ambitious, operational environments are complex, and technology must create value despite practical constraints. That environment encouraged the founders to build with discipline: solutions had to be adaptable, multilingual, commercially relevant, and capable of showing results.

From that foundation, Aries AI has begun extending its presence across the region and pursuing broader global opportunities.

For Ahmad and Waseem, expansion is not simply about entering more markets. It is about proving that a technology company built in Jordan can create enterprise AI with regional relevance and global quality.

Their ambition is not to follow the development of agentic AI from a distance. It is to help shape how this technology is applied—responsibly, practically, and at enterprise scale.

The Company Their Partnership Is Building

Aries AI reflects the character of its founders.

It carries Ahmad’s insistence that technology must serve a clear business purpose. It carries Waseem’s discipline that every promise must be supported by architecture and execution. It combines strategic imagination with technical control, speed with governance, and regional understanding with global ambition.

Their partnership is a reminder that transformative companies are rarely built by one type of thinker.

Vision without engineering remains an idea. Engineering without vision may become a product with no meaningful destination.

Aries AI was created by bringing both together.

Ahmad and Waseem are building a company around a clear belief: the future of enterprise AI will belong to systems that do more than understand. They must help organizations decide, act, and move forward.

That is the purpose behind Aries AI—and the mission its founders continue to pursue.