Private Enterprise AI
Kenyan builders are afraid of AI agent risk. We take that risk.
Help enterprises adopt and implement private AI instances — end to end. We handle infrastructure, build the agents, and guarantee results.
The Opportunity
500+ Kenyan enterprises want AI — but can't use ChatGPT
Data security, unpredictable costs, vendor lock-in, and unclear ROI keep enterprises 2–3 years behind global competitors.
That's Siscom's opportunity.
Kenyan Enterprise (2024)
- Scared of data on US cloud servers
- Can't afford enterprise ChatGPT pricing
- Doesn't trust SaaS with customer data
- Paralyzed by all four fears
Result: Not using AI at all — losing competitive advantage
Our Solution
The Three Pillars
Vertically integrated — we do one thing: implement private AI end to end.
AIaaS Platform
Private AI-as-a-Service
Siscom-hosted private AI on your data center or ours. Open source models via a ChatGPT-compatible API. Your data never leaves your infrastructure.
- Llama 3, Mistral, Falcon, Qwen
- Flat fee or pay-per-request pricing
- Hybrid / private deployment options
- KES 50–100K/month vs KES 500K+ cloud
Open Source Models
Zero Vendor Lock-In
Meta Llama, Mistral, Falcon, and Qwen — comparable to GPT-3.5/GPT-4 with no licensing costs. Switch models anytime with no migration penalty.
- KES 5/call vs KES 50/call on OpenAI
- Run locally on modest hardware
- Customize and fine-tune freely
- No dependency on US providers
Agentic AI Use Cases
We Build It End-to-End
Not just an API — we implement AI agents that do real work: loan origination, KYC/AML, fraud detection, claims processing, and customer support.
- Banking, insurance, e-commerce, logistics
- 4–8 week implementation cycles
- Integrated with your existing systems
- Guaranteed working agents or money back
How We Build
Implementation Process
01
Discovery
Week 1–2
Detailed spec & success metrics
02
Implementation
Week 3–6
Working AI agent on your data
03
Deployment
Week 7–8
Production launch & team training
04
Optimization
Ongoing
Iterative improvement & scaling
Business Model
Four Revenue Streams
Implementation Fees
KES 500K – 10M
End-to-end agent builds from discovery through deployment.
Year 1 target: KES 16M
AIaaS Platform Fee
KES 100K – 500K/mo
Flat-fee or pay-per-use private AI platform access.
Year 1 target: KES 18M
Managed Services
KES 50K – 200K/mo
Monitoring, optimization, model updates, and SLA support.
Year 1 target: KES 6M
Licensing & White Label
KES 1–2M/mo per instance
License the Siscom AI engine or white-label partnerships.
Year 1 target: Year 3+
Projections
3-Year Financial Outlook
| Year | Revenue | Net Profit | Margin | Team |
|---|---|---|---|---|
| Year 1 | KES 40M | KES 20M | 50% | 4–5 |
| Year 2 | KES 160M | KES 80M | 50% | 8–10 |
| Year 3 | KES 400M | KES 250M | 62% | 15–18 |
3-Year Total Revenue
KES 600M
3-Year Total Profit
KES 350M
Profitable From
Year 1
Go-to-Market
Who Buys
Banks
KES 5–10M + KES 200K/mo
Loan processing, KYC/AML, fraud
Insurance
KES 5–10M + KES 200K/mo
Claims, underwriting, fraud
E-commerce
KES 2–5M + KES 100K/mo
Fulfillment, support, routing
SaaS
KES 1–2M + KES 50K/mo
Support AI, recommendations
Why We Win
Competitive Advantages
Data Security
vs. Cloud AI Providers
Your data stays on Kenyan servers — CBK and ICTA compliant.
Cost Advantage
vs. Google Cloud / Azure
50% below competitors with open source — no licensing overhead.
Speed
vs. Consulting Firms
4–8 weeks end-to-end vs 6–12 months. We own the outcome.
Trust & Expertise
vs. ChatGPT / OpenAI
We guarantee results. Platform vendors leave you to figure it out.
This is real. This is winnable. Start building.
Year 3 target: KES 400M revenue, 50+ enterprise customers, dominant position in Kenya. We implement, we own the outcome, we guarantee it works.
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