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Business Digital Index

Artificial Intelligence

Industry filter

#201 – #210

  1. 201
    F
    55 /100
    Lifewood Data Technology Ltd.
  2. 202
    F
    55 /100
    Syrius Technology
  3. 203
    F
    55 /100
    InsideSales.com
  4. 204
    F
    55 /100
    Landmark Ventures
  5. 205
    F
    55 /100
    Finch | a big.legal.tech do Brasil
  6. 206
    F
    54 /100
    キヤノン電子テクノロジー（株）
  7. 207
    F
    54 /100
    HannsTouch Holding Inc.
  8. 208
    F
    54 /100
    21st Century Technologies
  9. 209
    F
    54 /100
    Miro AI
  10. 210
    F
    54 /100
    Versa Inc.

#211 – #220

  1. 211
    F
    54 /100
    NAMUTECH
  2. 212
    F
    53 /100
    Cortica
  3. 213
    F
    53 /100
    Berlitz Egypt
  4. 214
    F
    53 /100
    Grupo AIA
  5. 215
    F
    52 /100
    Sary
  6. 216
    F
    51 /100
    Crepe Robot
  7. 217
    F
    50 /100
    云徙科技
  8. 218
    F
    50 /100
    Shanghai FANUC Robot Co.
  9. 219
    F
    50 /100
    Sentar Inc.
  10. 220
    F
    49 /100
    SMECorner

#221 – #230

  1. 221
    F
    49 /100
    SemLab Artificial Intelligence
  2. 222
    F
    49 /100
    Manthan
  3. 223
    F
    49 /100
    Cyclone Robotics
  4. 224
    F
    49 /100
    Ganit Inc.
  5. 225
    F
    47 /100
    Damon Technology
  6. 226
    F
    42 /100
    Xaxis
  7. 227
    F
    42 /100
    DeepBlue Technology
  8. 228
    F
    42 /100
    Web Spiders
  9. 229
    F
    41 /100
    Retailo Technologies
  10. 230
    F
    41 /100
    Bright Machines

#231 – #240

  1. 231
    F
    40 /100
    KELLER HCW GmbH
  2. 232
    F
    39 /100
    Oger Systems
  3. 233
    F
    39 /100
    View, Inc.
  4. 234
    F
    38 /100
    TOPMIND
  5. 235
    F
    36 /100
    Nahil Computers
  6. 236
    F
    35 /100
    東京システムハウス（株）
  7. 237
    F
    33 /100
    MIS - Al Moammar Information Systems Co.
  8. 238
    F
    31 /100
    Vision-e
  9. 239
    F
    31 /100
    Cemtrex Inc.
  10. 240
    F
    31 /100
    天津恒银金融科技有限公司

#241 – #244

  1. 241
    F
    29 /100
    Tranzeal Incorporated
  2. 242
    F
    29 /100
    CBNITS
  3. 243
    F
    26 /100
    Aepona
  4. 244
    F
    24 /100
    CloudMinds Technology Inc.
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Outcome reliability

Our methodology goes beyond traditional vulnerability assessments by considering a wide range of factors that can impact an organization’s cybersecurity health. We gather data from various trusted sources, such as IoT search engines, IP or domain reputation databases, and custom security scans. This allows us to evaluate risks in seven key areas: software updates, web security, email protection, system reputation, SSL setup, system hosting, and data breach history. By combining data-driven analysis, weighted scoring, and actionable insights, we equip organizations with valuable information to address digital threats, minimize their risk exposure timeline, and strengthen their overall cybersecurity posture.

This is an inline graph showing outcome reliability scores. The grades are as follows: F is between 0 and 70, D is between 70 and 78, C is between 79 and 85, B is between 85 and 95, and A is above 95.