01AI
Custom AI Software
Full-stack web and mobile apps with intelligence baked in — recommendation engines, smart dashboards and predictive UX from day one, not phase three.
- React · Node · Python
- Mobile-first by default
- MVP in 6 weeks
Nairobi · Built for the world
AI that ships.
Results you can
measure.
We build AI-integrated software for ambitious teams — not demos, not decks, not "phase three" promises. Real systems in production.
Digicarl Technologies is an AI engineering firm based in Nairobi. We handle full-stack development, intelligent automation and data products — delivered faster and at better cost-quality than the alternatives.
02 — Capabilities
Eight services.
One integrated
team.
Strategy, engineering and AI — delivered by one team that speaks all three. Every engagement starts with a free audit and ends with a measurable shift in how your business operates.
02ENG
Process Automation
Replace manual workflows with AI + RPA. Invoicing, inventory, HR and operations that classify, route and report without a human in the loop.
- Process audit included
- 30–50% efficiency lift
- ROI in one quarter
03AI
Conversational AI
Multilingual assistants in English and Swahili — native to WhatsApp, web and M-Pesa. Customer support, sales and internal copilots that actually resolve queries.
- WhatsApp + Web + Voice
- M-Pesa native
- 24/7 customer ops
04ENG
Predictive Analytics & BI
Forecast demand, score churn and surface sales signals. Dashboards that turn scattered data into decisions your leadership team will trust.
- Forecasting models
- Live dashboards
- Automated reporting
05ENG
Cloud, DevOps & Infrastructure
Cloud migrations on AWS, Azure and GCP with AI-optimised CI/CD, infrastructure-as-code and the observability you need to ship confidently.
- Cloud migration
- CI/CD + IaC
- 99.9% SLA target
06AI
Generative AI Applications
Internal agents, content tools and code copilots on private model deployments. Your data never touches shared training pipelines.
- Internal agents
- Content + code copilots
- Private LLM stacks
07AI
AI Consulting & Transformation
Readiness audits, opportunity mapping and 4–6 week paid pilots. A low-risk on-ramp that delivers a working system, not another strategy deck.
- Readiness audits
- Paid pilots
- ROI-first framing
08ENG
Computer Vision & IoT
Edge AI for retail, agriculture, logistics and manufacturing. Vision models and sensors that detect what manual spot-checks miss — in real time.
- Image recognition
- Smart monitoring
- Edge deployment
03 — How we work
From curiosity to
compounding advantage.
PHASE I
Audit
A free, focused diagnostic of your stack, data and workflows. No deck. Real findings.
PHASE II
Pilot
A 4–6 week paid pilot that ships a working slice of intelligence into production.
PHASE III
Build
Full engineering: full-stack, AI integration, infra and design — delivered as one team.
PHASE IV
Operate
Managed services keep models, data and uptime sharp. We stay in the loop.
04 — Engagement
Pilot, build,
then keep it sharp.
Most teams start with a low-risk pilot, expand into a full build, then retain us to keep models, automations and infrastructure performing. The Operate retainer is how ROI compounds instead of decaying six months after launch.
4–6 weeks · fixed price
Pilot
From KES 50k–150k fixed
From ~USD 18k–35k fixed
One AI capability, live in production. You get a working system, a results report and a clear picture of what comes next.
- Defined success metrics upfront
- Working system in your stack
- Results report + roadmap options
MVP to full product
Build
Typically KES 10M–35M+ by scope
Typically USD 80k–250k+ by scope
Full product delivery: design, engineering, AI integration, QA and launch. We ship the thing, not just the plan.
- Mobile-first UX · cloud-ready
- AI integrated from the first sprint
- Launch playbook + 30-day support
Ongoing · retainer
Operate
From KES 10k–30k / month · SME
From ~USD 4k–15k / month · full programme
Model monitoring, incident response and continuous improvement. ROI compounds when AI keeps working after launch.
- SLAs for AI APIs & automations
- Monthly improvement cadence
- Security, cost & compliance reviews
Indicative bands for planning. Final pricing depends on stack, compliance requirements and timeline. Kenya and regional teams invoice in KES. Exact numbers land after your free audit — no guesswork required.
05 — Selected work
Case studies, not
case decks.
CS·01
Pan-African Fintech
Financial Services
Rebuilt customer ops on a multilingual AI copilot.
Replaced 6 manual support workflows with an English/Swahili AI agent integrated to WhatsApp and the agent desk. Shipped in 8 weeks.
63%
Tickets resolved by AI
4.2m
Annual ops savings
8w
From kickoff to live
CS·02
Regional Agritech
Agriculture · IoT
Computer vision for smallholder yield forecasting.
Vision pipeline on edge devices grading 14 crop conditions in real time, feeding a forecasting dashboard used by 320 cooperatives.
31%
Forecast accuracy lift
320
Cooperatives onboarded
14
Crop conditions tracked
CS·03
E-commerce Scale-up
Retail · Commerce
Generative storefront and predictive merchandising.
Headless storefront with personalised landing pages and an AI merchandiser that re-orders 12,000 SKUs across categories every hour.
2.7x
Conversion uplift
+38%
Average order value
12k
SKUs re-ranked / hr
06 — Impact
Numbers that
compound,
quarter on quarter.
We measure success in operational lift, not slide decks. Every engagement publishes its KPIs back to your team — transparently, monthly, in plain language.
42%
Avg. process efficiency lift
6w
Median time to first MVP
3.4x
ROI on pilot engagements
24/7
Conversational AI uptime
“
OL
Operations Lead
Pan-African Fintech
8 weeks to liveCustomer ops
Digicarl rebuilt our customer ops on AI in eight weeks. The team operates like a senior product partner — not a vendor.
We went from six manual support workflows to a multilingual copilot on WhatsApp and the agent desk — with metrics we review every month.
Social proof
Teams that need AI to work in production, not just in demos.
Fin
Agri
Retail
Health
Logistics
SaaS
Logo wall placeholder — swap for client marks as NDAs allow.
“The pilot paid for itself in nine weeks. We finally have automation that our field team trusts.”
“Digicarl speaks product and infra fluently — rare in AI vendors. They ship, they measure, they stay.”
07 — AI ROI Calculator
How much would
intelligence
return?
A directional estimate of annual savings from automating repetitive workflows. Bring the numbers to your audit — we'll pressure-test them with your real data.
Display currency
40people
8hrs
15$/hr
45%
Validate with a free auditEstimates are directional · FX indicative · not a quote
08 — Ethics & data
Human-centric
AI.
- Your data is yours. We do not train shared models on your workloads unless you explicitly opt in and contracts say so.
- Private deployments by default for sensitive workloads — VPCs, dedicated keys, encryption in transit and at rest.
- Humans stay in the loop where accuracy, fairness or policy risk matters — automation supports decisions, it does not erase accountability.
- Plain-language reviews: we document model limits, fallback paths and monitoring so your ops and compliance teams can reason about risk.
09 — Questions
Things teams
often ask.
Don't see yours? Bring it to the audit — we answer in plain language, on the call.
Most teams see a working MVP in production within 4–6 weeks. We scope pilots deliberately tight — one meaningful AI capability, fully live — so you get real signal from real users, not a staging-environment demo.
We're headquartered in Nairobi and proudly Africa-rooted, but roughly a third of our work is with clients in EMEA and North America. They hire us for engineering depth, speed, and pricing that doesn't carry a Silicon Valley overhead.
Three engagement types, quoted in KES and USD: a fixed-fee Pilot (4–6 weeks, from ~KES 50k), a scoped Build engagement for full product delivery, and an Operate retainer for ongoing model and system health. The initial audit is genuinely free — exact figures land once we've mapped your scope together.
No. Your data is isolated, encrypted in transit and at rest, and used exclusively for your application. For sensitive sectors we default to private model deployments that never touch shared inference infrastructure.
Fintech, e-commerce, agritech, logistics and retail — sectors where AI has a clear operational impact and there's real data to work with. We bias toward problems with measurable outcomes, not novelty AI for the sake of it.
Yes, and it's how roughly half of our engagements run. Digicarl engineers embed into your sprints, your standups and your repos as a senior AI-native pod — we hand off cleanly and make your team more capable in the process.
You own everything — code, models, documentation, the lot. If you want us to stay on for model monitoring, retraining and iteration, that's the Operate retainer. If you want to take it in-house, we make sure your team is ready to run it.
10 — Begin
Start with a
free AI audit.
Tell us what you are trying to solve. We will respond with a written diagnostic of where intelligence pays off first — no pitch deck, no generic roadmap.
- 1Share your workflow, dataset or question.
- 2A senior partner reviews and replies within 24 hours.
- 3Optional 60-minute audit call to map ROI and next steps.
- Studio
- Nairobi, Kenya
- Response time
- Under 24 hours