The Fort Worth Press - Nairobi startup's bid to be 'operating system for global South'

USD -
AED 3.673042
AFN 63.503991
ALL 82.403989
AMD 368.150403
ANG 1.790403
AOA 918.000367
ARS 1465.449815
AUD 1.426534
AWG 1.8025
AZN 1.70397
BAM 1.705709
BBD 2.013483
BDT 122.708482
BGN 1.69088
BHD 0.37702
BIF 2985
BMD 1
BND 1.290663
BOB 6.90816
BRL 5.151601
BSD 0.999721
BTN 94.239742
BWP 13.585663
BYN 2.777729
BYR 19600
BZD 2.010527
CAD 1.41635
CDF 2280.000362
CHF 0.807012
CLF 0.02293
CLP 902.460396
CNY 6.769604
CNH 6.783725
COP 3452.68
CRC 453.506829
CUC 1
CUP 26.5
CVE 96.403894
CZK 21.091104
DJF 177.720393
DKK 6.516504
DOP 58.403884
DZD 133.34504
EGP 49.986489
ERN 15
ETB 158.37504
EUR 0.871204
FJD 2.235504
FKP 0.755912
GBP 0.755744
GEL 2.64504
GGP 0.755912
GHS 11.303856
GIP 0.755912
GMD 73.000355
GNF 8777.503848
GTQ 7.625892
GYD 209.119888
HKD 7.83535
HNL 26.703838
HRK 6.566204
HTG 130.583803
HUF 306.820388
IDR 17826.55
ILS 2.956604
IMP 0.755912
INR 94.37505
IQD 1310
IRR 1375000.000352
ISK 125.530386
JEP 0.755912
JMD 157.959917
JOD 0.70904
JPY 161.30504
KES 129.470385
KGS 87.450384
KHR 4012.503796
KMF 425.00035
KPW 900.00035
KRW 1528.650383
KWD 0.30802
KYD 0.833035
KZT 487.855928
LAK 22030.000349
LBP 89550.000349
LKR 333.641485
LRD 182.150382
LSL 16.20377
LTL 2.95274
LVL 0.60489
LYD 6.375039
MAD 9.245039
MDL 17.654036
MGA 4200.000347
MKD 53.691363
MMK 2099.523204
MNT 3579.573337
MOP 8.070939
MRU 40.080379
MUR 47.570378
MVR 15.460378
MWK 1736.000345
MXN 17.345204
MYR 4.137904
MZN 63.903729
NAD 16.203727
NGN 1360.440377
NIO 36.610377
NOK 9.699904
NPR 150.787532
NZD 1.743376
OMR 0.384983
PAB 0.999725
PEN 3.384039
PGK 4.38775
PHP 60.716504
PKR 278.303701
PLN 3.71375
PYG 6138.96617
QAR 3.640504
RON 4.568104
RSD 102.170373
RUB 73.103247
RWF 1464
SAR 3.74824
SBD 8.061424
SCR 13.683262
SDG 600.503676
SEK 9.583504
SGD 1.292404
SHP 0.746601
SLE 24.750371
SLL 20969.503664
SOS 571.503662
SRD 37.402504
STD 20697.981008
STN 21.4
SVC 8.747449
SYP 110.532098
SZL 16.203649
THB 32.890369
TJS 9.272075
TMT 3.51
TND 2.91175
TOP 2.40776
TRY 46.437504
TTD 6.779085
TWD 31.715038
TZS 2630.985038
UAH 44.909735
UGX 3638.520172
UYU 39.96965
UZS 12005.000334
VES 596.036404
VND 26320
VUV 118.645306
WST 2.751804
XAF 572.078806
XAG 0.015419
XAU 0.00024
XCD 2.70255
XCG 1.801643
XDR 0.703697
XOF 565.000332
XPF 103.250363
YER 238.625037
ZAR 16.485037
ZMK 9001.203584
ZMW 17.919703
ZWL 321.999592
  • CMSC

    0.0500

    22.37

    +0.22%

  • CMSD

    0.0000

    22.29

    0%

  • NGG

    -1.2400

    79.44

    -1.56%

  • RBGPF

    -0.5300

    60.61

    -0.87%

  • RYCEF

    -0.0300

    18.4

    -0.16%

  • BTI

    -0.5800

    58.91

    -0.98%

  • AZN

    -2.9600

    174.93

    -1.69%

  • GSK

    -1.4800

    50.67

    -2.92%

  • RIO

    -2.5900

    100.08

    -2.59%

  • BCE

    0.0000

    23.28

    0%

  • VOD

    -0.2300

    14.3

    -1.61%

  • RELX

    -0.8300

    31.18

    -2.66%

  • BCC

    3.8500

    74.66

    +5.16%

  • JRI

    0.0500

    12.67

    +0.39%

  • BP

    -1.0400

    39.1

    -2.66%

Nairobi startup's bid to be 'operating system for global South'
Nairobi startup's bid to be 'operating system for global South' / Photo: © AFP

Nairobi startup's bid to be 'operating system for global South'

Away from the heady rush to build ultra-capable, sci-fi style artificial intelligence in Silicon Valley, ambitious Nairobi-based startup Amini AI is betting on the technology addressing emerging countries' prosaic problems in the here and now.

Text size:

Chief executive Kate Kallot aims for Amini -- still a relatively small firm with $6 million in funding and 25 employees -- to become "the operating system for the Global South" in the coming years, creating the infrastructure foundation for others to build AI and data processing applications.

"There is a huge opportunity for emerging economies to focus on more applied AI innovation rather than fundamental research, which is what a lot of the US and Europe is doing," Kallot told AFP at the Vivatech trade fair in Paris.

On its website, the company highlights uses of its platform such as slashing crop insurance costs for farmers across Africa by monitoring conditions, or warning dairy producers in Morocco of water sources at risk from climate change.

Such efforts are only a hint of what will become possible as more data is collected, organised and processed from across the emerging world, Kallot believes.

"Data in Africa, Latin America, Southeast Asia, a lot of these emerging economies is still analogue and still scattered and still unstructured," she noted.

"There is a lot of work that needs to go into building that data infrastructure that can help those countries move from analogue systems to digital and help them be ready to move to AI."

Kallot said Amini's small team was helping multiple countries develop such infrastructure, highlighting a recent memorandum of understanding with Ivory Coast and projects in Barbados, India, Nepal and Cambodia.

- Digital natives short on data -

Western tech firms have notoriously turned to cheap labour from emerging economies for tasks upstream of AI, such as arduous labelling of vast datasets used to "train" AI models to recognise patterns.

But in countries like Kenya or the Philippines, "you have a population that is digitally native, extremely young... a lot of them have studied computer science" and speak English, Kallot said.

"The problem they have is that they lack the opportunity to practice their craft, because these regions are still seen as consumers of technology and are still seen as regions where innovation doesn't happen."

This is also reflected in how data is stored and processed.

A 2024 report from American research firm Xalam Analytics found that just one percent of the world's data centre capacity is located in Africa -- a region with almost 19 percent of the global population.

What's more, only two percent of African data gets processed on the continent, Kallot said.

"We're still in a very data-scarce environment, and until this is fixed we won't be able to adopt a lot of the very fancy new systems that are being put in place by... the big tech companies," she pointed out.

- Frugal and local -

Kallot sees little fallout for now in emerging economies from the US-China confrontation over the advanced chips powering the top-performing AI models.

But nations are "becoming some sort of battleground" for infrastructure investment by the superpowers' tech giants like Huawei and Microsoft.

One area where Kallot would like to see change is emerging countries coming together to build shared infrastructure like data centres, rather than relying on processing abroad or waiting for foreign firms to build them locally.

"Before, building critical infrastructure for your country meant building a road, building a hospital -- today it's actually building the data infrastructure," she said.

The choice to leave data to be processed abroad risks "erasing... a lot of your knowledge system and your culture," she warned, as most artificial intelligence training has not included information from much of the emerging world.

Looking forward, the limited infrastructure and computing power available outside top economies may actually foster frugal innovations that save energy and resources, Kallot said.

Emerging economies boast "brilliant developers that are doing things that are extremely environmentally friendly, that know how to work in a very contained and constrained environment... we just have to surface it and make sure we give them a platform," Kallot said.

T.Harrison--TFWP