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africa.ai

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uuid0003ivn

Namestring
africa.ai
Legal namestring
Africa AI Co.
Websiteurl
africa.ai
Company typeenum
Private
Founded yearint
2019
Descriptiontext

Africa AI (formerly Jijenge / Jijenge Academy) is a Kenya-headquartered, Delaware-incorporated business process outsourcing company that provides data labeling, annotation, and product operations services to AI startups and technology companies. The company operates a managed workforce across 5 offices in Kenya, delivering projects spanning computer vision annotation (e.g., fruit/bud detection for agritech, 3D dental segmentation for medtech), NLP tasks (named-entity recognition, sentiment analysis), financial data digitization with sub-30-minute SLAs, and US legislative transcript editing for legal tech clients. Its core technology is a professionally managed human-in-the-loop service platform rather than a proprietary AI product; workers are trained in domain specializations (agronomy, dental anatomy, finance, legal) and are described as outperforming college-graduate peers while earning a 4x income uplift versus prior employment.

The business model is B2B professional services sold on a quote basis to early-stage AI companies, with no disclosed public pricing, no platform/SaaS layer, and no marketplace intermediation. Distribution is direct enterprise sales targeting AI startups and technology companies, with marketing concentrated on the company website, a LinkedIn presence, and a Teamtailor-powered careers portal. A 2026 strategic partnership with UAE-based Alef Education extends the company's footprint beyond BPO data labeling into distribution of an AI NextGen Learning platform across 18 African nations, with Nigeria as the first launch site. Disclosed external capital is minimal (~$100,000 across two reported funding events), the company is privately held, and ownership is concentrated with founders, including CEO Evan McElwain alongside co-founders Vassia Daskalakis and John Mucoki.

Short descriptiontext

Africa AI is a Kenya-headquartered, U.S.-incorporated BPO that provides managed-workforce data labeling, annotation, and product operations services for AI startups across agritech, medtech, fintech, NLP, and legal tech verticals.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersNairobi, Kenya
HQ citystring
Nairobi
HQ countrystring
Kenya
HQ regionstring
Africa
Markets served

Serves global market

Offices2 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
data annotation services, AI data labeling, data processing outsourcing, computer vision annotation, NLP data services
Industry3 codes
1AI/ML Engineering & Model Development Services
CodeBPAEAHAFPrimaryYes
2AI/ML Solution Integration & MLOps Enablement
CodeBPAEAAAJPrimaryNo
3Data, Analytics & AI Training (BI, Data Engineering, ML/GenAI)
CodeBPAEANAHPrimaryNo
NAICS code1 code
  • Computer Systems Design and Related Services54151
SIC code1 code
  • Services-Computer Programming, Data Processing, Etc.7370
Product category
Data Annotation Services
Social media profiles1 record
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model1 record
1Business Process Outsourcing
TypeProfessional Services
Description

Provides data processing, data labeling, and product operations support services to AI companies. Revenue generated through professional services contracts delivering annotated datasets, quality-controlled data, and research outputs.

africa.ai
Marketing channels3 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels1 record

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Operations, Technology or R&D, Infrastructure, Marketing or Sales
GTM typeB2B
B2B
Offering typeServices
Services
Core offering1 text field

Africa AI provides business process outsourcing services centered on data annotation, labeling, transcription, and product quality control for AI/ML companies. A professionally managed workforce operating from five secure offices in Kenya delivers bespoke, domain-specialized datasets across computer vision (agricultural imagery, 3D dental scans), NLP (Named-Entity Recognition, Sentiment Analysis), structured financial data, and legal transcription. The company pairs enterprise-grade SLAs with a social-impact mission to provide dignified digital work to underserved African workers.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 2 values shown
  • Workers achieve 4x income increase through digital work access
+1 more record
Product overview1 text field

Africa AI is a business process outsourcing company offering a unified platform of AI-powered data services. The core offering is a managed workforce model operating across 5 offices in Kenya that provides bespoke data annotation, labeling, and processing solutions at scale. Services include computer vision annotation for agritech and medtech applications, NLP tasks (Named-Entity Recognition, Sentiment Analysis), financial data digitization with SLA guarantees, and transcription services for legal tech. The company positions itself as bridging the gap between underserved African workers and global AI research needs, providing training, digital skills development, and dignified employment while delivering high-quality labeled data to technology clients.

Product and service3 records
1Data Annotation & Labeling Services
CategoryData Annotation & Labeling
2Product Quality Control & Data Digitization
CategoryData Operations & Quality Control
3Transcription Editing Services
CategoryTranscription Services
Scale indicator4 records

Each record includes

Type, Value, Description, Source

Partnership1 partner
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-03-25
Description

Partnership between Africa AI and Alef Education, a UAE-based edtech company, to launch AI NextGen Learning platform across 18 African nations. Africa AI contributes workforce capabilities while Alef Education provides AI-driven education platform technology. Nigeria is the first launch site with plans for broader continental adoption. The platform uses AI to identify learning gaps and provide targeted educational support.

Recent move5 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Data labeling platform with managed services that combines a SaaS tooling layer with a workforce. Direct competitor in the same target customer base of AI startups and ML teams.

TypeDirect peer
Description

AI data annotation and labeling company with a mission-driven workforce model in East Africa. The closest comparable to Africa AI in both service offering and impact-driven positioning, and the most direct competitive threat.

TypeDirect peer
Description

Major AI data labeling and evaluation platform serving many of the same AI startup and enterprise customers. Direct competitor with significantly greater capital and a more technology-forward offering.

TypeBroad incumbent
Description

Global public company providing data annotation, collection, and evaluation services for AI/ML. Operates as a broad incumbent in the same category as Africa AI, with much larger scale and enterprise relationships.

TypeDirect peer
Description

Managed workforce provider specializing in AI data labeling and data operations for ML pipelines. Closely comparable business model — combining a trained human workforce with technology tooling — and a direct rival for B2B AI services contracts.

TypeDirect peer
Description

Data labeling and annotation services company with a global workforce, including teams in East Africa and India. Direct peer in both services (image, text, and data annotation) and impact-oriented operating model.

TypeDirect peer
Description

Crowd-sourced data labeling platform serving AI developers globally. Comparable offering for the same AI-startup and enterprise-R&D buyer, with a different (crowd) workforce model.

TypeDirect peer
Description

AI data platform providing pre-labeled datasets and workforce-driven annotation services. Direct peer competing for the same training-data budgets from AI developers.

TypeDirect peer
Description

Operations and data services provider for AI companies, including annotation, evaluation, and process automation. Highly comparable managed-services model targeting AI startups and large model developers.

TypeEmerging player
Description

Crowd-based data labeling and RLHF services for AI training. Comparable service offering with a different (crowd-sourced, task-based) workforce model that competes on price and throughput.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat3 records

Each record includes

Type, Details

Key risks5 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers5 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment2 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile2 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
No
API detail
Has APIbool
No

Docs URL, Description

AI capability8 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature3 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles3 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds2 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors1 record

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

africa.ai

Data Annotation Servicesafrica.ai

Africa AI is a Kenya-headquartered, U.S.-incorporated BPO that provides managed-workforce data labeling, annotation, and product operations services for AI startups across agritech, medtech, fintech, NLP, and legal tech verticals.

What africa.ai does

Africa AI (formerly Jijenge / Jijenge Academy) is a Kenya-headquartered, Delaware-incorporated business process outsourcing company that provides data labeling, annotation, and product operations services to AI startups and technology companies. The company operates a managed workforce across 5 offices in Kenya, delivering projects spanning computer vision annotation (e.g., fruit/bud detection for agritech, 3D dental segmentation for medtech), NLP tasks (named-entity recognition, sentiment analysis), financial data digitization with sub-30-minute SLAs, and US legislative transcript editing for legal tech clients. Its core technology is a professionally managed human-in-the-loop service platform rather than a proprietary AI product; workers are trained in domain specializations (agronomy, dental anatomy, finance, legal) and are described as outperforming college-graduate peers while earning a 4x income uplift versus prior employment.

The business model is B2B professional services sold on a quote basis to early-stage AI companies, with no disclosed public pricing, no platform/SaaS layer, and no marketplace intermediation. Distribution is direct enterprise sales targeting AI startups and technology companies, with marketing concentrated on the company website, a LinkedIn presence, and a Teamtailor-powered careers portal. A 2026 strategic partnership with UAE-based Alef Education extends the company's footprint beyond BPO data labeling into distribution of an AI NextGen Learning platform across 18 African nations, with Nigeria as the first launch site. Disclosed external capital is minimal (~$100,000 across two reported funding events), the company is privately held, and ownership is concentrated with founders, including CEO Evan McElwain alongside co-founders Vassia Daskalakis and John Mucoki.

africa.ai firmographics

Firmographics
Name
africa.ai
Legal name
Africa AI Co.
Website
https://africa.ai
Company type
Private
Founded year
2019
Operating status
Operating
Headcount range
11–50 employees
Short description
Africa AI is a Kenya-headquartered, U.S.-incorporated BPO that provides managed-workforce data labeling, annotation, and product operations services for AI startups across agritech, medtech, fintech, NLP, and legal tech verticals.
Ownership category
akta.pro rank

africa.ai industry classification

Industry
Product category
Data Annotation Services
NAICS
Computer Systems Design and Related Services (54151)
SIC
Services-Computer Programming, Data Processing, Etc. (7370)
akta.pro primary industry
AI/ML Engineering & Model Development Services (BPAEAHAF)
akta.pro secondary industries
AI/ML Solution Integration & MLOps Enablement (BPAEAAAJ), Data, Analytics & AI Training (BI, Data Engineering, ML/GenAI) (BPAEANAH)

Keywords

  • Data annotation services
  • AI data labeling
  • Data processing outsourcing
  • Computer vision annotation
  • NLP data services

Where africa.ai is headquartered

Location

Headquarters

HQ city
Nairobi
HQ country
Kenya
HQ region
Africa

Offices2 records

Markets served

africa.ai business model

Business model
GTM type
B2B
Offering type
Services
Cost components
Personnel, Operations, Technology or R&D, Infrastructure, Marketing or Sales

Revenue model

  1. Business Process Outsourcing: Provides data processing, data labeling, and product operations support services to AI companies. Revenue generated through professional services contracts delivering annotated datasets, quality-controlled data, and research outputs.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels3 records

africa.ai product offering

Product offering

Core offering

Africa AI provides business process outsourcing services centered on data annotation, labeling, transcription, and product quality control for AI/ML companies. A professionally managed workforce operating from five secure offices in Kenya delivers bespoke, domain-specialized datasets across computer vision (agricultural imagery, 3D dental scans), NLP (Named-Entity Recognition, Sentiment Analysis), structured financial data, and legal transcription. The company pairs enterprise-grade SLAs with a social-impact mission to provide dignified digital work to underserved African workers.

Product overview

Africa AI is a business process outsourcing company offering a unified platform of AI-powered data services. The core offering is a managed workforce model operating across 5 offices in Kenya that provides bespoke data annotation, labeling, and processing solutions at scale. Services include computer vision annotation for agritech and medtech applications, NLP tasks (Named-Entity Recognition, Sentiment Analysis), financial data digitization with SLA guarantees, and transcription services for legal tech. The company positions itself as bridging the gap between underserved African workers and global AI research needs, providing training, digital skills development, and dignified employment while delivering high-quality labeled data to technology clients.

Differentiator

Problem solved

Functional benefit

Products and services

  • Data Annotation & Labeling Services
  • Product Quality Control & Data Digitization
  • Transcription Editing Services

Quantifiable outcome

  • Workers achieve 4x income increase through digital work access
  • +1 more outcomes

Companies that use africa.ai

Customer profile

Named customers5 records

Segments2 records

Ideal customer profiles2 records

africa.ai technology and API

Technology

Technology focussed No

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability8 records

Feature3 records

africa.ai partnerships and signals

Strategic signal

Partnerships

One partnership is on record.

  • Alef EducationcoreStrategic or Co-development Partner · 25 March 2026Partnership between Africa AI and Alef Education, a UAE-based edtech company, to launch AI NextGen Learning platform across 18 African nations. Africa AI contributes workforce capabilities while Alef Education provides AI-driven education platform technology. Nigeria is the first launch site with plans for broader continental adoption. The platform uses AI to identify learning gaps and provide targeted educational support.

Scale indicators4 records

Recent moves5 records

Expansion highlights5 records

africa.ai competitors and assessment

Company assessment

Direct peers

  • Labelbox: Data labeling platform with managed services that combines a SaaS tooling layer with a workforce. Direct competitor in the same target customer base of AI startups and ML teams.
  • Sama (formerly Samasource): AI data annotation and labeling company with a mission-driven workforce model in East Africa. The closest comparable to Africa AI in both service offering and impact-driven positioning, and the most direct competitive threat.
  • Scale AI: Major AI data labeling and evaluation platform serving many of the same AI startup and enterprise customers. Direct competitor with significantly greater capital and a more technology-forward offering.
  • CloudFactory: Managed workforce provider specializing in AI data labeling and data operations for ML pipelines. Closely comparable business model — combining a trained human workforce with technology tooling — and a direct rival for B2B AI services contracts.
  • iMerit: Data labeling and annotation services company with a global workforce, including teams in East Africa and India. Direct peer in both services (image, text, and data annotation) and impact-oriented operating model.
  • Toloka: Crowd-sourced data labeling platform serving AI developers globally. Comparable offering for the same AI-startup and enterprise-R&D buyer, with a different (crowd) workforce model.
  • Defined.ai: AI data platform providing pre-labeled datasets and workforce-driven annotation services. Direct peer competing for the same training-data budgets from AI developers.
  • Invisible Technologies: Operations and data services provider for AI companies, including annotation, evaluation, and process automation. Highly comparable managed-services model targeting AI startups and large model developers.

Broad incumbents

  • Appen: Global public company providing data annotation, collection, and evaluation services for AI/ML. Operates as a broad incumbent in the same category as Africa AI, with much larger scale and enterprise relationships.

Emerging players

  • Remotasks (by Surge AI): Crowd-based data labeling and RLHF services for AI training. Comparable service offering with a different (crowd-sourced, task-based) workforce model that competes on price and throughput.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat3 records

Key risks5 records

Key highlights6 records

Customer concentration

africa.ai social profiles

Digital presence

africa.ai financial estimates

Financial estimate

Revenue estimate

Valuation estimate

africa.ai leadership team

Management profile

Number of profiles

Profiles3 records

africa.ai funding detail

Funding detail

Funding overview

Funding rounds2 records

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

africa.ai M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about africa.ai

What does africa.ai do?

Africa AI provides business process outsourcing services centered on data annotation, labeling, transcription, and product quality control for AI/ML companies. A professionally managed workforce operating from five secure offices in Kenya delivers bespoke, domain-specialized datasets across computer vision (agricultural imagery, 3D dental scans), NLP (Named-Entity Recognition, Sentiment Analysis), structured financial data, and legal transcription. The company pairs enterprise-grade SLAs with a social-impact mission to provide dignified digital work to underserved African workers.

Is africa.ai a public or private company?

africa.ai is a private company. It is classified as founder individual operated bootstrapped and is currently operating.

When was africa.ai founded?

africa.ai was founded in 2019. It employs 11 to 50 people.

Where is africa.ai based?

africa.ai is headquartered in Nairobi, Kenya, in the Africa region.

How does africa.ai make money?

One revenue line is on record: business Process Outsourcing.

Who are africa.ai's main competitors?

Direct peers on record are Labelbox, Sama (formerly Samasource), Scale AI, CloudFactory, iMerit, Toloka, Defined.ai and Invisible Technologies. Appen is listed as a broad incumbent. Remotasks (by Surge AI) is listed as an emerging player.

Does africa.ai have an API?

No public API is recorded for africa.ai.

What industry is africa.ai in?

africa.ai's product category is Data Annotation Services. Its primary akta.pro industry code is BPAEAHAF, AI/ML Engineering & Model Development Services, with a secondary code of BPAEAAAJ, AI/ML Solution Integration & MLOps Enablement. Its NAICS code is 54151 and its SIC code is 7370.

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