Smart Systems, Inc. is a global information technology company with a focus on artificial intelligence, machine learning, and deep learning. Founded in Washington, DC, Smart Systems provides AI, ML, and DL services to its clients operating across most industries and business sectors. We have a long history of AI successes, having been profitable every year since our inception in 2009. Clients include some of the pioneers in the deployment of sophisticated AI systems in Energy, Robotics, and Security; utilizing AI platforms and tools from providers such as Amazon, Google, Microsoft, Nvidia, and IBM.
Smart Systems, Inc. (SSI) concentrates its AI efforts on Deep Learning which is most successful at AI solutions modeling, training, and deployment. When implementing AI systems, we mimic the way the human brain functions when confronted with similar challenges. This innovative approach has produced some of the most impactful AI applications to date. These and other accolades make us the ideal business partner to influence your transformation and growth through AI.

Demand for AI applications is growing exponentially as businesses seek to capitalize on the unique capabilities of these systems. Most businesses are racing to implement variations of AI that enable them to be consistently preemptive in decision making and in turn sustain a competitive advantage. The AI market will reach $126 billion by 2025, impacting most industries and glaring proof that failure to embrace this phenomenon will inevitably lead to business demise. You can circumvent being left behind by allowing us to chart your AI course, we have the expertise, know the industry, and can mitigate hidden technical challenges.
SSI has deconstructed the AI industry over the last decade and has synthesized a well defined practice to expedite the process from concept to deployment. For businesses that are overwhelmed or confounded when identifying and selecting impactful AI applications, SSI executes an AI Opportunity Analysis that rapidly narrows the selection to solutions with early ROI. These can range from sophisticated GPT and NLP models with over 150 billion tokenized attributes to massive YOLOv7 and SSD object detection systems operating at 286 fps driven by large scale ontologies leading to microsecond entity perception.
We’re helping build the state’s next-generation workforce and investing in energy programs. [...]
This year at Google I/O 2026, we announced Gemini Omni, Google Antigravity, Universal Cart and so much more. Here are the highlights. [...]
See and hear your colleagues in true-to-life size and sound, making hybrid meetings feel more inclusive and connected. [...]
One year after launch, see how AI Mode’s users are shifting from keywords to natural language queries. [...]
At NVIDIA GTC Taipei at COMPUTEX, the world’s developers, researchers and industry leaders are converging to dive into the latest breakthroughs shaping every industry, covering topics spanning AI factories and… [...]
The mission begins now. GeForce NOW is dialing up the action with a blockbuster mix of spy thrills, high-speed racing and member rewards — plus eight new games joining the… [...]
At this year’s Google I/O conference, NVIDIA and Google Cloud are accelerating the work of more than 100,000 developers in the companies’ joint developer community, which provides curated learning paths,… [...]
Agentic AI inference at one-tenth the cost per token with NVIDIA Vera Rubin NVL72. Agent sandboxes run 50% faster on NVIDIA Vera than traditional CPUs — while enterprise data queries… [...]
The first NVIDIA Vera CPUs arrived at three of the world's leading AI labs on Friday — Anthropic in San Francisco, OpenAI in Mission Bay, SpaceXAI in Palo Alto —… [...]
At any given time, technology does two things to employment: It replaces traditional jobs, and it creates new lines of work. Machines replace farmers, but enable, say, aeronautical engineers to… [...]
Patrick Traynor, Ph.D., has questions. When the professor and interim chair of the University of Florida Department of Computer & Information Science & Engineering saw reports in the media positing… [...]
A research team at Google co-led by Michael Brenner, Catalyst Professor of Applied Mathematics and Physics at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) and… [...]
Two artificial intelligence (AI) systems that can assist throughout multiple processes involved in scientific research—such as generating hypotheses, designing experiments, and analyzing data—are presented in Nature. [...]
Google will soon unleash a wealth of new artificial intelligence-powered tools and systems, including an AI assistant that will help users by proactively performing tasks on their behalf. [...]
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SmartSystems has a diverse portfolio of deployable AI Models. We encourage you to request an AI Application Quotation / Demonstration in a Business Domain of immediate value to you.