Submit files.Scope milestones.Pay on approval.
Upload files. Get a fixed quote. Fund milestones in escrow. Pay only when you approve the work.
Know your data first.
Fixed
Price upfront
No hourly billing — you know the full cost before work starts.
Sample output
Audit → clean → report
Every milestone ships something tangible
Handover-ready outputs at every gate — not slide decks or hours logged.
Written report
PDF summary stakeholders can read without opening code.
Reproducible notebook
Documented analysis you can rerun, audit, and extend.
Charts & visualizations
Plots, embeddings, and metric dashboards tied to your data.
Handover memo
What we did, what it means, and recommended next steps.
EDA
Sample output
Unsupervised
Sample output
Supervised
Sample output
How it works
Fixed price, escrow-backed, review at every gate — from files to finished work.
01
Submit files & brief
Upload your datasets and describe the problem. We review scope and data quality.
02
Receive a quote
Fixed-price milestones with line-item costs and deliverables. Accept the full engagement, one phase, or decline — no obligation.
03
Fund milestones
Work is split into milestones. You fund each one before we begin that phase.
04
Review & release
Internal QA, then your approval. Payment is released only when you sign off.
What to expect
Review first, fixed quote next, work begins when you fund.
Day 1-2
Initial review
We review your submission, assess data quality, and prepare scope questions.
Day 3-4
Quote delivery
You receive a fixed-price proposal with milestones, costs, and deliverables — accept, decline, or fund one phase.
Day 5+
Work begins
Once you accept and fund the first milestone, we start the engagement.
The review flow
How work moves from analyst to you.
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Our guarantees
Commitments we make to every client.
Quality guarantee
If a deliverable does not meet the agreed specifications, we rework it at no additional cost.
Refund policy
If we cannot deliver the agreed scope, unused milestone funds are refunded in full.
Data security
All data is encrypted in transit and at rest. We delete client data within 30 days of project completion unless otherwise agreed.
Your money stays in escrow until you approve.
Fund milestones upfront. Internal QA runs first — then you review polished deliverables. Unused funds are refunded if we cannot deliver the agreed scope.
Start a projectMilestone escrow
Pay per phase — never for unfinished work. Release payment only when you sign off.
Two-gate review
Analyst delivery → internal QA → your approval. You only see work that passed both gates.
Sample engagement
Illustrative only — every project is scoped and quoted individually.
Customer segmentation engagement
Cluster profiles, embedding visualizations, and a recommendations memo — scoped as three fixed milestones.
Feature engineering & prep
Clustering exploration
Visualization & recommendations
From KES 250,000
Starting points in KES — final quote depends on data size, complexity, and scope.
Services
EDA, unsupervised, and supervised learning — fixed-price, scoped as milestones.
Exploratory Data Analysis
We profile, clean, and summarize your datasets — surfacing patterns, quality issues, and actionable insights in a clear report you can share with stakeholders.
Typical milestones
Data audit & schema review
Cleaning & validation
Profiling report
Sample output
Deliverables
- EDA notebook
- Summary report (PDF)
- Cleaned dataset
Use cases
- Pre-modeling data quality assessment
- Executive data summaries for stakeholders
- Identifying data gaps before collection
- Audit trail for regulatory compliance
Tools
Compare service types
Pick the engagement that matches your goal.
EDA
Data cleaning & validation
Statistical profiling
—
Feature engineering
—
Clustering & segmentation
—
Anomaly detection
—
Model training & tuning
Evaluation metrics & reports
—
Production-ready artifacts
Unsupervised
Data cleaning & validation
—
Statistical profiling
Feature engineering
Clustering & segmentation
Anomaly detection
—
Model training & tuning
Evaluation metrics & reports
—
Production-ready artifacts
Supervised
Data cleaning & validation
—
Statistical profiling
Feature engineering
—
Clustering & segmentation
—
Anomaly detection
Model training & tuning
Evaluation metrics & reports
Production-ready artifacts
| EDA | Unsupervised | Supervised | |
|---|---|---|---|
| Data cleaning & validation | |||
| Statistical profiling | — | — | |
| Feature engineering | — | ||
| Clustering & segmentation | — | — | |
| Anomaly detection | — | — | |
| Model training & tuning | — | — | |
| Evaluation metrics & reports | |||
| Production-ready artifacts | — | — |
Transparent, milestone-based pricing
No hourly billing. Starting points in KES — final quote depends on data size, complexity, and scope.
Fixed
Price upfront
0
Hourly billing
2-gate
Quality review
100%
Escrow-backed
Sample EDA engagement
Typical scope for a mid-size dataset — quoted individually after we review your files.
Data audit & schema review
Cleaning & validation
Profiling report & handover
From KES 150,000
Starting points in KES — final quote depends on data size, complexity, and scope.
What's included
Fixed-price milestones with no hourly billing
Internal QA review before client delivery
Source code and notebooks (yours to keep)
Documentation and handover sessions
Two rounds of revisions per milestone
30-day post-delivery support window
Payment methods
About Takwimu Labs
Takwimu means statistics in Swahili. We run ML engagements the way they should work — scoped, reviewed, and paid fairly.
Our mission
ML engagements done properly.
Too many data-science projects drift on scope, skip review, or bill opaque hours. Takwimu Labs fixes that with a structured flow: you submit files, we quote, you fund milestones, we deliver, you approve, payment releases.
We do not host ML pipelines or sell compute. We exchange artifacts — datasets in, models and reports out — with clarity at every step. Our goal is to make machine learning accessible, predictable, and fair.
Transparency
No black boxes. We explain our methods, share our code, and price work clearly.
Quality over speed
We would rather deliver late and correct than fast and flawed. Internal QA ensures standards.
Client ownership
Your data, your models, your code. We build to hand over, not to lock in.
Fair pricing
Fixed milestones mean you pay for outcomes, not hours. We share the risk.
Who does the work
Specialist teams behind every engagement.
Analytics Team
Data Scientists & ML Engineers
Our analysts have shipped ML in production across fintech, retail, and healthcare. They handle EDA, feature engineering, and model development.
QA & Review
Senior Reviewers
Every deliverable passes through internal QA before reaching you. Reviewers check methodology, code quality, and documentation.
Client Success
Project Coordination
Your point of contact throughout the engagement. They manage timelines, handle communication, and ensure smooth handovers.
Why work with us
No hourly billing, no scope drift — just fixed milestones and review-gated payments.
Milestone-based pricing
No hourly billing. Each phase is scoped and priced upfront — you know the cost before we start.
Two-gate quality review
Internal QA catches issues before you see them. You only review polished deliverables.
Escrow-backed payments
Funds are held securely. We only get paid when you approve the work.
Clear deliverables
Notebooks, reports, models — everything documented and ready for your team to use.
No lock-in
We hand over artifacts you own. No proprietary platforms, no ongoing dependencies.
Domain expertise
Our analysts have shipped ML in finance, retail, healthcare, and logistics.
Who this is for
Domain-aware ML engagements — and what to send when you reach out.
Industries we serve
Financial Services
Credit risk scoring, fraud detection, portfolio analytics
E-commerce & Retail
Customer segmentation, demand forecasting, basket analysis
Healthcare
Patient stratification, operational forecasting, outcome analysis
Logistics & Supply Chain
Route optimization signals, demand planning, anomaly detection
Telecommunications
Churn prediction, network usage patterns, customer lifetime value
Agriculture & AgriTech
Yield forecasting, sensor anomaly detection, supply forecasting
Great fit
Teams with datasets ready to analyse or model
Leaders who want fixed-price milestones, not hourly billing
Organisations that need documented, handover-ready deliverables
Not the right fit
· Production MLOps, real-time serving, or full platform builds
· Projects without a clear business question or success metric
· Engagements requiring 24/7 on-call or embedded staff augmentation
What to prepare
Dataset files (CSV, Parquet, JSON) or secure cloud access instructions
A brief: business problem, desired outcome, and timeline
Column or data dictionary if available
Known data quality issues, constraints, or compliance requirements
NDA signed before any sensitive data is transferred
Common questions
Everything you need to know before starting a project.
We work with CSV, Parquet, JSON, SQL exports, and most common tabular formats. For larger datasets, we can set up secure transfer via cloud storage.
Yes. We sign NDAs before any data is shared. Your data privacy is paramount — we never use client data for training our own models or share it externally.
Minor revisions within the original scope are included. Significant changes or new requirements are scoped as additional milestones with separate quotes.
Absolutely. We often collaborate with in-house data teams, providing specialist capacity for specific projects while your team handles production deployment.
We assess data complexity, volume, and project scope. Larger datasets or complex feature engineering increase the cost. You get a fixed quote before any work begins.
No. The milestone price is the full price. We do not charge for compute, storage, or platform access. You pay for scoped work, nothing else.
M-Pesa, bank transfer, and card payments via Paystack. Quotes are issued in Kenyan shillings (KES).
The milestone model is already pay-as-you-go. You fund each milestone before that phase begins, so you never pay for unfinished work.
If requirements change mid-project, we pause and re-quote. You approve the new scope and cost before we continue — no surprise bills.
We discuss the issues, make revisions, and resubmit. If we cannot reach agreement, unused funds are refunded and the engagement ends cleanly.
Yes. If you need to pause between milestones, we can hold your slot for up to 30 days. Longer pauses may require re-scoping.
You do. All code, models, and reports are yours to use, modify, and deploy without restriction.
We sign NDAs, use encrypted transfer, and can work within your cloud environment if required. We never use client data for internal training.
Ready for a fixed-price quote?
Share your dataset and goals — we respond with a scoped proposal, milestone breakdown, and fixed costs.
Start a projectNo hourly billing · Escrow-backed · Usually within 48h
Ready to work with your data?
Tell us about your dataset and goals. You'll get a fixed-price proposal with milestone breakdown — we typically respond within 48 hours.
Fixed-price quote
Line-item milestones with fixed costs. No hourly billing, no surprise invoices.
Two-gate quality review
Internal QA before you see it. You only approve polished deliverables.
Share your dataset
Upload files securely after we confirm scope and send onboarding details.
Dedicated support
Your point of contact throughout the engagement.
Industries we serve
Data security
All data is encrypted in transit and at rest. We delete client data within 30 days of project completion unless otherwise agreed. We sign NDAs before sensitive data is shared and can work in your cloud environment if required.