Kobo, ODK, mWater and Excel already collect your data. Dalili sits on top: automatic quality control, a trust score, anomaly detection, clean exports and reliable reports. And for water, a module that quantifies — in FCFA — the revenue leakage your spreadsheet can't see.
Kobo, ODK, mWater and Excel fill your databases. What's left: duplicates, suspicious GPS, poorly controlled agents, out-of-range values, badly designed forms — and every month, manual Excel cleaning and shaky donor reports. For water, add the headache of reconciling reading ↔ invoice ↔ mobile-money payment.
The differentiator isn't collection, nor a chatbot. It's a versioned, explainable rules engine that audits your Kobo/ODK data, computes a trust score and flags anomalies by agent, site and form — and, for water, quantifies revenue leakage in FCFA. You keep your tools; Dalili makes them reliable.
Automatic quality control of your Kobo/ODK data: 0–100 trust score, anomalies by agent, site and form, duplicates, GPS, timestamps, out-of-range values. Clean export. Free from the Free plan.
Reconciles meter reading ↔ invoice ↔ mobile-money payment (Orange Money, Wave). Detects revenue leakage and agent fraud, with gaps quantified in FCFA. The paid killer feature.
A deterministic, explainable score and an A/B/C/D level: is this data good enough to decide, to report, or to verify first? Never a number without its justification.
Kobo/ODK API connection + sync, connectors for DHIS2, Power BI, PostgreSQL and mobile-money statements (Enterprise), branded PDF/DOCX reports, AI narrative.
Available today: Dalili QA, the water Revenue module, Sync Monitor, Insights, Playbooks, Architect and the Fleet view (regulators & donors). Additional connectors ship in stages — published here for transparency, never oversold.
Quality control: trust score, anomalies by agent/site/form, duplicates, GPS, clean export.
Reconciles reading ↔ invoice ↔ mobile-money payment, leakage quantified in FCFA. Paid killer feature.
Data freshness, failing connections, failed exports, inactive forms.
Dashboards, quality/agent indicators, AI narrative reports, donor reports.
Ready-to-use sector templates: water points, meter readings, agri input distribution — more to come.
AI-assisted design: data model, dictionary, XLSForm, validation rules, deployment guide.
Kobo/ODK API connector available; mWater, CommCare, DHIS2, PostgreSQL and mobile-money statements in validation.
A Dalili report on a synthetic dataset: Trust Score headline, anomalies by agent, site and form, decision level and usage limits — and, for water, the leakage quantified in FCFA. No vague promise — a deliverable you can open, understand and show your donor or regulator.
Fictional synthetic data — illustrative document.
Top anomalies
Secure SaaS is the default channel, but we adapt processing to your confidentiality level: anonymised sample, client-side hashing, on-site processing. Dalili can also run entirely locally (Local Audit Toolkit) or on your servers (self-hosted, Docker) — your data never leaves.
You fund or oversee dozens of operators and programs. On Enterprise, Dalili consolidates quality, revenue and service from the data they already produce — one format, all your operators.
Freemium + subscription. Modules à la carte on Free/Starter, all included with Pro. Enterprise on request.
At sign-up: a 14-day Pro trial (API connection + water module), once.
When the Free quota (3,000/mo) is reached: the account stays read-only, nothing is deleted, and an upgrade prompt is shown.
| Feature | Free | Starter | Pro | Enterprise |
|---|---|---|---|---|
| Price | 0 FCFA | 20,000 FCFA/mo | 80,000 FCFA/mo | custom |
| Projects | 1 | 3 | unlimited* | unlimited |
| Analysed submissions / month | 3,000 | 25,000 | 150,000 | negotiated |
| Users | 1 | 3 | 10 | custom |
| Modules included | 0 · à la carte | 1 of your choice + à la carte | all | all |
| CSV / XLSX import | ✓ | ✓ | ✓ | ✓ |
| QA + Field Data Trust Score | full | full | full | full |
| Quality rules | predefined | predefined | + custom | + custom |
| Anomaly history | 30 days | 12 months | unlimited | unlimited |
| PDF / DOCX report | watermark | clean | + AI narrative | white-label |
| Clean-data export | 100-row preview | full | full | full |
| Kobo / ODK API connection + sync | à la carte | à la carte | ✓ | ✓ |
| Water Revenue module (FCFA) | à la carte | your choice / à la carte | ✓ | ✓ |
| Integrations (DHIS2, Power BI, PostgreSQL, mobile-money) | — | — | limited | ✓ |
| Advanced SSO / RBAC, SLA, data region | — | — | — | ✓ |
| Support | community | priority | dedicated + training |
✓ included · — not included · demo = read-only on a sample set
CSV/XLSX or Kobo/ODK API connection. Your tools stay in place.
The engine flags duplicates, GPS, timestamps, agent anomalies, out-of-range values.
Field Data Trust Score 0–100 + decision level A/B/C/D.
Reconcile reading ↔ invoice ↔ payment; leakage quantified in FCFA.
Clean data + branded PDF/DOCX report.
The Field Data Trust Score and its 6 sub-scores are deterministic, versioned and explainable. We never publish a number without its justification. Here are the 6 sub-scores and 9 starter rules — published, not hidden.
A data-focused engineer, I started Dalili after seeing too many organisations collect with Kobo, ODK or Excel without being able to trust their data — and too many water services lose revenue for lack of reconciling payments, readings and invoices. Our stance: a control layer on top of your tools that honestly surfaces anomalies and where money leaks — and states what the numbers do, and do not, let you conclude.
Dalili is built with frugality and one obsession: never overselling a reliability we can't prove.
Start on the Free plan — 1 project, full QA + Trust Score, water-module demo and a 14-day Pro trial. No commitment. A sample is enough to see the value.