Fastagger
Fastagger is a Nairobi-based edge AI platform offering SMS-based workforce attendance verification and Auni, a proprietary document AI foundation model for African financial documents, distributed via Azure Marketplace and telecom super-app embeds across East Africa.
- Company typePrivate
- Founded2020
- HeadquartersDelaware City, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Fastagger does
Fastagger is a Nairobi-based edge AI platform company serving African enterprises, SMEs, financial institutions, and telecom operators. Its core product, Fastagger Workforce, enables field workforce attendance and patrol verification via SMS from any handset — including feature phones — streaming data to a real-time operations dashboard for security, facility management, and logistics operators. The company also offers Auni, a proprietary document AI foundation model purpose-built for African financial documents (KYC files, loan applications, M-Pesa statements, contracts), and Vision & Edge Runtime, which delivers on-device computer vision inference on 4GB Android devices without GPU or cloud dependency.
The underlying technology is an edge AI infrastructure layer that compresses computer vision, document intelligence, and custom model inference for entry-level hardware, leveraging Microsoft Azure cloud hosting with Microsoft Phi-4 foundation models for document AI. All inference occurs on-device, producing zero per-query cloud cost and enabling deployment in markets with limited connectivity and device budgets. The architecture supports an SMS-to-cloud cascade for the simplest feature phones and on-device AI layers for 4GB Android smartphones.
Fastagger monetizes through four streams: subscription-based workforce platform pricing (Basic Monthly tier on Azure Marketplace), Auni API access fees for financial institutions, licensing/usage revenue from telco embed partners (currently Safaricom with 5,000+ active merchants), and quote-based enterprise custom deployments. Go-to-market is multi-channel: product-led growth via Azure Marketplace with self-serve trial, enterprise field sales for East Africa security pilots, and OEM embedding inside telecom super-apps. The company is independently owned, with 1-10 employees and no disclosed equity funding — all visible investor relationships (Microsoft, NVIDIA, Google for Startups, CV Labs) appear to be grants, credits, or accelerator participation rather than priced rounds.
Fastagger firmographics
Firmographics- Name
- Fastagger
- Legal name
- Fastagger Inc.
- Website
- https://fastagger.com
- Company type
- Private
- Founded year
- 2020
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Fastagger is a Nairobi-based edge AI platform offering SMS-based workforce attendance verification and Auni, a proprietary document AI foundation model for African financial documents, distributed via Azure Marketplace and telecom super-app embeds across East Africa.
- Ownership category
- akta.pro rank
Fastagger industry classification
Industry- Product category
- Edge AI Infrastructure and Workforce Management Software
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Computer Systems Design and Related Services (54151)
- SIC
- Services-Computer Programming Services (7371), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- On-Device Inference Runtimes & SDKs (mobile/embedded) (HDAAAJAB)
- akta.pro secondary industries
- Real-Time Vision at the Edge (on-device CV/video) (HDAAAJAE), Edge AI Deployment, Orchestration & OTA Model Updates (HDAAAJAI), AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ), Model Deployment, Serving & Inference Platforms (HDAAABAF)
Keywords
Where Fastagger is headquartered
LocationHeadquarters
- HQ city
- Delaware City
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Fastagger business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Operations, Infrastructure, Marketing or Sales
Revenue model
- Workforce Platform Subscription: Subscription-based pricing for SMS-based attendance and field operations management. Sold via Azure Marketplace with Basic Monthly and Trial plans. MACC-eligible for government procurement.
- Auni API Access: API access fees for document intelligence services used by financial institutions, fintechs, and insurers. Sandbox and onboarding provided. Used to automate KYC, loan processing, and statement analysis workflows.
- Telco Embed Licensing: Revenue from embedding Auni mini-app inside telecom super-apps. Safaricom deployment with 5,000 active businesses generates usage-based or subscription revenue from telco partners.
- Enterprise Custom Deployments: Custom computer vision and edge AI deployments for enterprise clients. Design partner slots available for H2 2026 with preferential pricing. Includes SDK and implementation support.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | Free Trial - Self-serve onboarding |
| Subscription | Monthly | Basic Monthly - Standard workforce features |
| Subscription | Annual | Enterprise - Custom deployment |
Go-to-market motion4 records
Distribution channels4 records
Marketing channels6 records
Fastagger product offering
Product offeringCore offering
Fastagger builds edge AI infrastructure that runs AI inference on entry-level 4GB Android devices without GPUs or cloud round-trips. Its flagship Fastagger Workforce platform provides SMS-based field workforce attendance and patrol verification for enterprises, while Auni is a foundation model purpose-built for African financial documents (KYC, loans, M-Pesa statements, contracts). The platform deploys on Azure in under 40 minutes and is live on Safaricom's M-Pesa super-app reaching 5,000+ SME merchants.
Product overview
Fastagger is an edge AI platform with a modular architecture combining workforce intelligence and document AI products. The core platform is Fastagger Workforce, an SMS-based attendance and patrol verification system that operates on any phone without apps or data plans. Built on this platform are complementary modules: Auni (document AI foundation model for African financial documents) and the Telco Super-App Embed capability—both delivering AI intelligence inside existing super apps like Safaricom M-Pesa. Vision & Edge Runtime provides the underlying computer vision and edge inference infrastructure that powers all modules. All solutions run on-device on entry-level Android devices using Microsoft Phi-4 models, with zero per-inference cloud costs.
Differentiator
Problem solved
Functional benefit
Brands
- Auni: Document AI foundation model for African financial documents including KYC, loans, contracts, and M-Pesa statements. Runs on 4GB smartphones with no cloud dependency.
- Fastagger Workforce
- Vision & Edge Runtime
Products and services
- Fastagger Workforce Enterprise attendance and field operations intelligence platform that enables workers to check in via SMS on any handset without requiring an app, smartphone, or data plan, with real-time site-by-site reporting on a cloud operations dashboard accessible to HQ. Includes patrol verification, AI-generated alerts, ghost worker detection, and audit-ready compliance report exports. Live on Azure Marketplace with MACC-eligible status for government procurement and deploys in under 40 minutes. Designed for security companies, facility management firms, and logistics operators managing large field workforces across multiple sites.
- Auni Document AI First foundation model purpose-built for African financial documents that extracts, structures, and analyzes KYC files, loan applications, M-Pesa PDF statements, and contract documents. Runs entirely on 4GB smartphones with no cloud dependency, no GPU required, and zero per-query cost. Available as an API for financial institutions (banks, microfinance institutions, insurers, fintechs) to automate document-heavy compliance workflows and as an embedded mini-app on the Safaricom M-Pesa super-app for SME merchants.
- Vision & Edge Runtime Computer vision inference platform running full CV inference on 4GB Android smartphones and edge gateways without requiring a GPU or cloud round-trip. Includes model compression, fine-tuning of foundation models for real-world hardware constraints, pre-built SDK, and split learning capabilities. All inference runs on-device and syncs when connectivity is available. Currently in Telco pilot for network asset tracking, with one design partner slot available for H2 2026 expansion to manufacturing quality control, agricultural monitoring, retail analytics, or custom use cases.
Quantifiable outcome
- 3,500 business sign-ups in first 3 months on Safaricom M-Pesa
- +4 more outcomes
Companies that use Fastagger
Customer profileNamed customers2 records
Segments4 records
Ideal customer profiles4 records
Fastagger technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration2 records
AI capability11 records
Feature5 records
Fastagger partnerships and signals
Strategic signalPartnerships
Four partnerships are on record, tiered flagship, core and minor.
- MicrosoftflagshipStrategic technology partnership providing Azure cloud infrastructure, Microsoft Phi-4 foundation model for on-device inference, Azure Marketplace distribution channel, ISV certification, and joint go-to-market through Microsoft News EMEA coverage. Enables Auni document AI and workforce platform deployment at scale.
- SafaricomcoreSafaricom embedded Auni AI as a mini-app inside M-Pesa Business Super App, reaching 5,000+ SME merchants with document intelligence. Deployment completed in 90 days from partnership agreement. First major telco deployment validating the super-app embed model.
- GSMAminorGSMA featured Fastagger in the AI for Africa Report as Spotlight 5, recognizing the company's contribution to democratizing AI through edge device infrastructure in emerging markets.
- Azure MarketplacecoreAzure Marketplace serves as primary distribution channel for Fastagger Workforce Check-in product. MACC eligibility enables government procurement without separate procurement processes. Self-serve deployment reduces sales overhead.
Scale indicators6 records
Recent moves6 records
Expansion highlights6 records
Fastagger competitors and assessment
Company assessmentBroad incumbents
- Google Cloud Document AI: Hyperscaler document AI service for forms, invoices, KYC, contracts and statements; overlaps with Auni's document intelligence offering at the capability level but is general-purpose and cloud-dependent rather than tuned for African financial document formats.
- ABBYY: Established intelligent document processing vendor serving banks, insurers and enterprises with OCR and extraction - broad incumbent alternative to Auni for KYC, loan applications, and contract analysis.
- UiPath Document Understanding: Enterprise RPA and document understanding platform offering KYC and financial document automation as part of a broader automation suite - comparable use case (document-heavy banking workflows) but sold as horizontal enterprise software rather than a region-specific foundation model.
- NVIDIA Jetson / TensorRT: Edge AI inference platform with Jetpack SDK and TensorRT optimization, comparable to Fastagger Vision & Edge Runtime's computer vision positioning; targets higher-end edge hardware rather than 4GB Android smartphones.
- Qualcomm AI Hub: On-device AI SDK and model library from a major silicon vendor targeting mobile and IoT inference; overlaps with Fastagger's runtime/SDK layer but addresses a broader, global device ecosystem rather than emerging-market constraints.
Direct peers
- Rossum: AI document processing platform for invoices, KYC and transactional documents in financial workflows - a direct comparable to Auni's document AI for African financial documents, with comparable go-to-market into banks and fintechs.
- Deeplite: Edge AI model optimization company focused on compressing deep learning models to run on low-resource devices without GPUs, closely aligned with Fastagger's 4GB Android, no-GPU inference positioning.
- Beekeeper (LumApps Frontline): Mobile-first workforce operations platform for deskless workers with shift management, messaging and operational dashboards - direct functional peer to Fastagger Workforce in serving large field workforces without requiring desk-based access.
- WorkJam: Frontline workforce management platform delivering scheduling, task management, and communication to deskless workers on mobile - functionally comparable to Fastagger Workforce's frontline attendance and operations visibility for security, facility management, and logistics workforces.
- Edge Impulse: Edge AI / MLOps platform providing SDK and model deployment tooling for embedded and mobile devices - the closest direct comparable to Fastagger's Vision & Edge Runtime, with a similar target of running ML inference on constrained hardware.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks7 records
Key highlights7 records
Customer concentration
Fastagger social profiles
Digital presenceFastagger compliance and trust
Trust signalCompliance2 records
Fastagger financial estimates
Financial estimateRevenue estimate
Valuation estimate
Fastagger leadership team
Management profileNumber of profiles
Fastagger funding detail
Funding detailFunding overview
Funding rounds4 records
Investors4 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Fastagger M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Fastagger
What does Fastagger do?
Fastagger builds edge AI infrastructure that runs AI inference on entry-level 4GB Android devices without GPUs or cloud round-trips. Its flagship Fastagger Workforce platform provides SMS-based field workforce attendance and patrol verification for enterprises, while Auni is a foundation model purpose-built for African financial documents (KYC, loans, M-Pesa statements, contracts). The platform deploys on Azure in under 40 minutes and is live on Safaricom's M-Pesa super-app reaching 5,000+ SME merchants.
Is Fastagger a public or private company?
Fastagger is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Fastagger founded?
Fastagger was founded in 2020. It employs 1 to 10 people.
Where is Fastagger based?
Fastagger is headquartered in Delaware City, United States, in the North America region.
How does Fastagger make money?
Four revenue lines are on record. Workforce Platform Subscription is the primary driver. The others are auni API Access, telco Embed Licensing and enterprise Custom Deployments.
Who are Fastagger's main competitors?
Broad incumbents on record are Google Cloud Document AI, ABBYY, UiPath Document Understanding, NVIDIA Jetson / TensorRT and Qualcomm AI Hub. Direct peers are Rossum, Deeplite, Beekeeper (LumApps Frontline), WorkJam and Edge Impulse.
Does Fastagger have an API?
Yes. Auni API is available for financial institutions to access document intelligence capabilities for African financial documents. Covers KYC document automation, loan application processing, M-Pesa & mobile money statement parsing, and contract & agreement analysis. API documentation and sandbox access provided on onboarding. Currently onboarding new partners.
What industry is Fastagger in?
Fastagger's product category is Edge AI Infrastructure and Workforce Management Software. Its primary akta.pro industry code is HDAAAJAB, On-Device Inference Runtimes & SDKs (mobile/embedded), with a secondary code of HDAAAJAE, Real-Time Vision at the Edge (on-device CV/video). Its NAICS code is 51821 and its SIC code is 7371.