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Welcome to Dedomena!

Dedomena (δεδομένα: Data in Greek) is an AI and Data company committed to reduce time-to-data and time-to-insight by providing a composable, AI-powered platform to generate synthetic data and extract valuable insights.

Dedomena's mission (dedomena.ai) is to democratize the access to data securely and to unlock all the value from it through synthetic data, bringing to the market the fastest and most effective approach to synthetic data generation.

Dedomena´s proprietary technology and generative algorithms are based on custom deep neural networks architectures, pre-build state-of-the-art ML and probabilistic models that guarantee the utility and privacy of the artificial data generated.

Architecture

Dedomena is a multi-component enterprise software that enables seamless integration with data sources networks and security requirements, supporting extremely flexible deployments and multiple use cases.

Instead of transmitting data, Dedomena´s synthetic backbone deals entirely with synthetic data generators, called synthesizers. This maintains data and network security because production data never leaves the trusted environment and our client-hub infrastructure allows for the generation of any amount of safe, synthetic data.

All the pieces of our technological machinery are deployed and run from European soil in low carbon footprint servers.

Dedomena platform is secure by design and integrates as many security focussed features and practices as possible to ensure the secure, safe and reliable operation of Dedomena´s software within its customers infrastructure.

Dedomena products may be provided as a service or as software, although Dedomena aims to provide the most secure software possible, the actual security of a local installation depends on the customer's environment and infrastructure security.

Hardware requirements

The hardware requirements depend on the volume of data to synthesize. Dedomena propose to execute Nucleus Edge in hardware where a GPU is available for better performance, however it can be run in almost all data infrastructures, VM and clouds.

For on-premises deployments, these tiers refer to the requirements for Nucleus Edge component to be executed efficiently:

Tier 1 Tier 2 Tier 3
Data size Up to 500K subjects and 10 columns Up to 10M subjects and 20 columns Up to 100M subjects and 50 columns per table
CPU 6 cores 12 cores 24 cores
Memory 16 32-64 64-128
Disk 25GB 50GB 75-100 GB

For cloud deployment, some examples of VMs are provided below; however, any VM with similar memory, CPU and storage capacities would be sufficient:

Tier 1 Tier 2 Tier 3
Google n2-standard-8 n2-standard-16 n2-standard-32
AWS m6a.2xlarge m6a.4xlarge m6a.8xlarge
Azure D16s v5 D16s v5 D32s v5

Software requirements

Supported and tested Operating Systems including minimum version:

  • Debian 10 or 11
  • Ubuntu 18.04, 20.04 or 22.04

Python Environment

  • 3.9
  • 3.10

CUDA

  • 12.1.x
  • 11.8.0

Neurons Resources

Transactions Enricher Taxonomy

Category ID Parent Category ID Category Description
1 Food, Dining
2 1 Restaurants and Bars
3 1 Supermarket and Groceries
4 1 Food Delivery
5 1 Bakery, Candy Store and Coffee
6 1 Beers, Wines and Liquors
7 1 Other Food
21 Transportation
22 21 Fuels
23 21 Parking
24 21 Tolls
25 21 Vehicle maintenance and repairs
26 21 Public transportation
27 21 Taxi, VTC and Shared Mobility
28 21 Vehicle Insurance
29 21 Purchase and leasing of vehicles
30 21 Other transportation expenses
41 Home and Office
42 41 Mortgage and Rent
43 41 Furniture, Decoration and Gardening
44 41 Building Insurance
45 41 Office and home supplies
46 41 Maintenance, repair and improvement
47 41 Housekeeping
48 41 Protection and security
49 41 Mail and courier
50 41 Neighbor community fees
51 41 Other home or office expenses
61 Health and Personal Care
62 61 Doctor
63 61 Dentist
64 61 Eye care
65 61 Pharmacy
66 61 Health Insurance
67 61 Fitness, Gym, Spa and Massage
68 61 Hair and Nails
69 61 Other Health and Personal Care
81 Leisure and travelling
82 81 Lodging
83 81 Flight tickets
84 81 Shows, Clubs, Cinema, Theatre, Concerts and Museums
85 81 Dutty Free, Airport, Train Station, Vending
86 81 Rent a car
87 81 Lottery and gambling
88 81 Other leisure and travelling expenses
101 Purchases
102 101 Clothing and accessories
103 101 Books, Music, Movies, Streaming and Games
104 101 Electronics
105 101 eCommerce
106 101 Tobacco and cigarettes
107 101 Other purchases
108 101 Sports clothing, equipment and accessories
121 Family
122 121 School and daycare
124 121 Toys
125 121 Pets Care
126 121 Gifts, Donations and Charity
127 121 End of life
128 121 Other family expenses
141 Utilities
142 141 Energy (gas and electricity)
143 141 Water and waste
144 141 Internet, TV and Phone
145 141 Other utilities expenses
161 Miscelaneous expenses
162 161 Insurances
163 161 Taxes and fines
164 161 ATM, Cash
165 161 Commisions and Bank fees
166 161 Outgoing transfers
167 161 Credit Card, Loan Payment
168 161 Memberships
169 161 Stock market and crytocurrencies
170 161 Other miscelaneous expenses
181 Employees
182 181 Employee salaries
183 181 Social Security for employees
184 181 Training for employees
185 181 Other employee expenses
221 Business
222 221 Industrial materials
223 221 Equipment purchase and renting
224 221 Investments
228 221 Financial services
229 221 Accounting services
230 221 Legal services
231 221 Logistic services
232 221 Software and IT infrastructure
233 221 Research, Development & Innovation
234 221 Purchase reimbursement
235 221 Marketing
236 221 Other Business Expenses
241 Income
242 241 Salary and Retirement
243 241 Interest and Dividends
244 241 Sales
245 241 Child Support
246 241 Incoming transfers
247 241 Refunds
248 241 Heritage
249 241 Insurance collection
250 241 Support (credits, loans, grants)
251 241 ATM, Cash incomes
252 241 Other Income

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