Three engagement tiers. No surprise line items.
Prices are the starting floor for each engagement type. Final quotes depend on scope, data complexity, and systems involved — we’ll give you a fixed number inside 48 hours of our first call.
- 4–6 discovery interviews
- Data sample review & readiness score
- Six concrete artifacts & ranked roadmap
- 90-min readout with stakeholders
- One optional on-site day (East Africa)
- Fee credited toward next engagement
- One production-grade system
- Eval harness & model monitoring
- Observability dashboards & alerting
- Human-in-the-loop review tooling
- Runbooks, rollback plan & training
- 90 days of post-launch support
- Dedicated squad (ML, data, ops, PM)
- Multi-capability portfolio delivery
- AI platform & MLOps foundation
- Governance, risk & compliance playbooks
- Team enablement & handover
- Quarterly steering committee reporting
What’s included in each tier.
| Included | Audit | Integration | Transformation |
|---|---|---|---|
| Discovery & interviews | ✓ | ✓ | ✓ |
| Data-readiness assessment | ✓ | ✓ | ✓ |
| Ranked opportunity roadmap | ✓ | ✓ | ✓ |
| Production AI system shipped | — | 1 workflow | Multiple |
| Eval harness & test suites | — | ✓ | ✓ |
| Observability & monitoring | — | ✓ | Platform-wide |
| Human-in-the-loop tooling | — | ✓ | ✓ |
| MLOps / data platform | — | Partial | Full build |
| Governance & compliance playbooks | — | Light | ✓ |
| Runbooks & rollback plans | — | ✓ | ✓ |
| Team enablement & training | — | Workshop | Continuous |
| Post-launch support | — | 90 days | Continuous |
| Steering-committee cadence | — | — | Quarterly |
| Duration | 2 weeks | 6–12 weeks | 6–12 months |
| Typical team size | 2 | 3–4 | 5–8 |
| Starting price | $2,500 | $15,000 | $60,000 / Q |
Six factors that shape the final quote.
The starting prices above are floors. Here’s what can push a quote higher — and what you can do to keep it lean.
Data readiness
Clean, well-labelled, accessible data is the single biggest lever. If we’re building pipelines, annotating samples, or wrestling with legacy formats, scope expands.
Number of systems
One system to integrate is straightforward. Three legacy systems with bespoke APIs, auth models, and rate limits is a different animal.
Regulatory scope
Regulated data — CBK, IRA, ODPC, HIPAA-equivalent — means explicit risk assessments, audit trails, and sometimes external review. We build it in properly.
On-prem / air-gapped
Cloud-native deployments are fastest. On-prem, hybrid, or fully air-gapped deployments require additional infrastructure and packaging work.
Throughput & latency SLAs
Standard throughput is included. Hard sub-second latency, or thousands of QPS, means we’re into serving infrastructure, autoscaling, and caching strategy.
Governance maturity
Teams with existing MLOps, data governance, and observability platforms are faster. Greenfield setups include foundational build.
Four payment methods. KES or USD.
The common questions we hear.
Still uncertain which tier fits?
Book a 60-minute discovery call. Tell us about the problem, your data, and your constraints. We’ll recommend the right engagement — including the option of “none of the above, here’s what you should do instead.”