Saud Altamimi
Co-Founder @ Intelligent solutions | Voice AI
About
Most businesses in Saudi Arabia are losing money to problems they've stopped noticing. Missed phone calls. Manual data entry. Customers waiting hours for answers that should take seconds. Operations teams stretched thin doing work that AI could do better, faster, and around the clock. We fix this at Modern Intelligent Solutions. I'm Saud Altamimi — Founder and CEO. Over the past 3 years, we've built MIS into a Saudi AI company that actually delivers production-grade AI systems to enterprises, government, and semi-government organizations across the Kingdom. Systems that integrate into core business workflows and generate measurable results. 𝗪𝗵𝗮𝘁 𝘄𝗲 𝗯𝘂𝗶𝗹𝗱 We design and deploy AI agents — voice, chat, and multi-channel — that automate the operational bottlenecks businesses can't afford to keep manual. Customer communication, lead qualification, appointment management, internal workflows, document processing, and more. Our flagship product is 𝗢𝗽𝗲𝗻𝗖𝗹𝗶𝗻𝗶𝗰 𝗔𝗜 (www.useopenclinic.ai), an Arabic Voice AI platform built specifically for healthcare clinics across Saudi Arabia. It handles inbound and outbound patient calls in natural Saudi dialect: appointment booking, rescheduling, reminders, no-show recovery, and patient inquiries, 24/7. Healthcare is where the operational pain is loudest right now, but the same agent technology is being deployed across enterprise, retail, and service businesses too. 𝗪𝗵𝘆 𝘄𝗲 𝗲𝘅𝗶𝘀𝘁 Most AI sold into Saudi is built abroad, doesn't speak Arabic properly, and breaks in production. We exist to close that gap — production-grade AI, built in Saudi Arabia, for the way Saudi businesses actually work. 𝗧𝗿𝗮𝗰𝗸 𝗿𝗲𝗰𝗼𝗿𝗱 ↳ Delivered AR/VR solution for the Ministry of Interior (Border Guard) ↳ Grants secured from Monsha'at and NDTP ↳ Exhibited at LEAP 2025 ↳ Active enterprise pilots across healthcare, government, and private sector ↳ Trusted by clients who care about compliance, data security, and Saudi-grade execution 𝗠𝘆 𝗯𝗮𝗰𝗸𝗴𝗿𝗼𝘂𝗻𝗱 I started in Mechatronics Engineering (Boston University, Concordia University) and moved into Python, data engineering, and applied AI as I kept seeing the same pattern: organizations were experimenting with AI but couldn't get it into production. That gap is the reason MIS exists. PMP-certified, technically grounded, and running this company alongside a focused team that punches well above its weight 𝗟𝗲𝘁'𝘀 𝘁𝗮𝗹𝗸 Whether you're a clinic, enterprise, or government entity exploring AI — let's talk. 🌐 www.modernint.sa
Saudi Arabia
Riyadh
Computer Software
Arabic NLP, Voice AI, AI Agents, Product Strategy, Software as a Service (SaaS), Business Valuation, Financial Modeling, Artificial Intelligence (AI), Software Development Life Cycle (SDLC), Project Management, Large Language Models (LLM), Retrieval-augmented generation (RAG), PEFT, ReAct: Reasoning and Action, AWS SageMaker, FLAN-T5, LLM fine tuning, Reinforcment learning from human feedback (RLHF), Linux, MySQL
Experience

Co-Founder
Riyadh
Intelligent Solutions is an enterprise AI company specializing in production-ready voice agents and large language model (LLM) integration to help organizations scale operations efficiently. We design and deploy AI systems that automate high-volume interactions and embed intelligence directly into core business workflows. Our solutions focus on AI voice agents, conversational automation, and enterprise LLM platforms built for reliability, security, and performance at scale. We integrate seamlessly with existing systems such as CRMs, ERPs, and service platforms, enabling AI to operate as a core operational capability rather than a standalone tool. We serve government, semi-government, and private sector organizations, helping them increase capacity without increasing headcount, improve service responsiveness, and deliver consistent, compliant experiences across channels. Intelligent Solutions partners with organizations to move beyond AI experimentation and deploy scalable, secure AI solutions that deliver measurable operational impact.

Co-Founder
Imagini
New York City Metropolitan Area
As Co-Founder of Imagini, I helped build an AI-driven matchmaking platform that enables manufacturers to connect with qualified CPG brands and book high-intent meetings. Imagini uses intelligent matching and data-driven targeting to help manufacturers consistently generate new business opportunities, shorten sales cycles, and acquire the right clients at scale.

Chatbot Developer
Five sense AI
Riyadh, Saudi Arabia
Chatbot Developer at SWCC | Streamlining Internal Services with Intelligent Solutions

DIY 3D printed Quadcopter drone parts (COVID Quarantine project)
As a drone hobbyist, sometimes my drones break during flight, and buying them is costly and has an extended shipping time. So I've decided to design parts that are optimized for 3D printing.

Mechanical Engineering - industrial controls and automation
Montreal, Canada Area
∗ Related courses: Industrial Controls design, Robotic Manipulators and trajectory planning, Robotic Mechanics, Microcontrollers for Mechatronics, and Automation. ∗ Experience in designing LQR, Fuzzy, PID, and PD + gravity controllers. RELATED COURSE PROJECTS : • 3D printer enhancement: took a cheap 3D printer and improved it by writing scripts in C++ that would process and analyze 2D images fed from a webcam to both detect a failed print and calibrate the printer head. • Robotic manipulator simulation: Used the RobotDk software to run a simulation for a KUKA IIWA14 manipulator used by a Canadian Company, ingenia technologies in order to automate a drilling station. • RC car build: Designed, Built, and programmed an RC car using two Arduino Microcontrollers along with a two RF transmitter and an infrared sensor and 3D printed parts communicating with a laptop driven using a C++ script. • Double Inverted Pendulum on Cart: Designed an LQR controller using Simulink to balance a double-jointed pendulum upright on a cart driven by a DC motor using input data from optical encoders to measure the joints angle of deflection.

Data Scientist
Canada
- Slashed customer feedback processing/reporting time after applying natural language processing, artificial neural networks, and linear regression models to label, categorize, and sort reports by topic or urgency. - Decreased customer data collection time by developing a tool that extracts customers’ social media handles off Instagram, Twitter, and Facebook APIs.

Boston University Rocket team
Boston, Massachusetts, United States
Boston University rocket team Mark4 I was part of the Mark 4 engine division at the Boston University rocket team, where I designed and Machined the Oxidizer tank and Engine bulkhead. The oxidizer tank stores the liquid fuel portion of the Hybrid engine that powered the Mark 4 engine. I designed and ran simulations to ensure it can withstand high pressure and finally machined the part.
Education
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