Intelligent Machines Email Formats
Technology, Information and Internet • 
Moar Gulshan Link, Sultana Trade Center (Level-5), Bangladesh • 21-50 Employees
Intelligent Machines Email Formats
Intelligent Machines uses 5 email formats. The most common is {first name}.{last name}@company.com (e.g., john.doe@company.com), used 45.6% of the time.
| Format | Example | Percentage |
|---|---|---|
{first name}.{last name}@company.com | john.doe@company.com | 45.6% |
{first name initial}{last name}@company.com | {first name initial}doe@company.com | 22.3% |
{first name}@company.com | john@company.com | 15.1% |
{first name}{last name}@company.com | johndoe@company.com | 9.8% |
{first name}_{last name}@company.com | john_doe@company.com | 7.2% |
Key Contacts at Intelligent Machines
Waheed Chaudhuri
Director
Mukarram Khan
Product Owner
Intelligent Machines
Ceo
Company overview
| Headquarters | Moar Gulshan Link, Sultana Trade Center (Level-5), 204/B Bir Uttam Mir Shawkat Sarak, Tejgaon, Dhaka, 1208, BD |
| Phone number | +880731689290 |
| Website | |
| Keywords | Advanced Analytics, Artificial Intelligence, Enterprise Analytics, Enterprise Ai |
| Founded | 2018 |
| Employees | 21-50 |
| Socials |
About Intelligent Machines
We build enterprise AI products and also provide data science services to help clients reach their organizational goals and objectives – • Delivered 12 AI products • Deployed 59 AI models, parsers, and algorithms • Live: 19 models, 23 parsers, and 3 algorithms (14 models have been decommissioned) • In-progress: 1 model and 9 parsers • 15 clients in five countries: Bangladesh, USA, Australia, UAE, and Myanmar • Our clients include bKash, Unilever, BAT, Banglalink, IDLC, Prime Bank, Telenor, Ooredoo, Wave Money, Cathay Bank, International Growth Centre, Health Explorer, Careerverse, BHP, and a2i • 34 highly capable team members: 2 data preparation managers, 6 AI engineers, 6 data analytics engineers, 9 product engineers, 2 product designers, 6 product leads, 1 customer success manager, and the founder • A humble cash inflow of USD 40K/month while last year's revenue (work order) was USD 2 million • Our clients make more than 60 dollars for every 1 dollar spent on AI • 75 fresh graduates started their bright careers in AI engineering and data science with us who have now migrated abroad to work in large techs or pursue masters and PhD programs
Employees by Management Level
Total employees: 21-50
Seniority
Employees
Employees by Department
Intelligent Machines has 28 employees across 9 departments.
Departments
Number of employees
Intelligent Machines Tech Stack
Discover the technologies and tools that power Intelligent Machines's digital infrastructure, from frameworks to analytics platforms.
CDN
Font scripts
JavaScript libraries
JavaScript libraries
Ecommerce
Development
Security
JavaScript frameworks
Security
Miscellaneous
JavaScript libraries
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