Pilot Program Open

Your company's data improves every cycle

Process mining meets AI-driven data rules. Bridge operations and governance. Turn messy processes into clean, accurate data for better decisions.

See How It WorksRequest Pilot Invite
Built in Paris 🇫🇷•EU Data Residency•4-6 Week Pilots
Problem Volume
↓67%
Clean Data
↑94%
1
Analytics (Volume)
Quantify where and how bad
2
Rule Regime
Codify policy, enforce deterministically
3
Process Map
Visual, opinionated flows
Every cycle compounds

Start narrow. Prove value. Expand.

Pick one painful process. See measurable improvement every week.

4–6 Week Pilot

Multi-Table Data Model
One DB source, multiple connected tables per use case
AI-Suggested Business Rules
Up to 10 rules, human-approved at breakpoints
AI-Generated Process Map
Interactive flow with human refinement
Completeness Analytics
% filled, nulls, outliers dashboard
Automated Alerting
Email/Slack when rules violated
Weekly Progress Reviews
Error reduction and touch time metrics
Investment
$15k–$40k
Creditable to Year 1 contract
Request Pilot Invite

Pilot Success Metrics

We focus on error reduction and manual touch time. Financial impact modeling (DSO, denial rates) coming Q2 2026:

All Industries
200/day→50/day
Error Volume Reduction
Data validation errors caught and prevented.
Operations Teams
15 hrs/wk→5 hrs/wk
Manual Correction Time
Time spent manually fixing data issues.
Process Clarity
Implicit→Mapped
Operational Flows
Visual process maps with validation breakpoints.

Pilot focuses on error reduction and operational efficiency. Financial KPI tracking (DSO, denial rates, return rates) available Q2 2026.

Break the consultant cycle

Stop repeating the same data quality projects. Build institutional memory instead.

Consultant Cycle

  • Ad-hoc projects; drift returns
  • Knowledge walks out; re-learn later
  • Repeat spend every few years
  • No system of record for rules
  • Manual audits, reactive fixes
Example: DSO stays high despite periodic clean-up projects

Productized Loop

  • Rules live over company data
  • Process map prevents drift
  • Alerts now, queued reprocessing Q1 2026
  • Institutional memory builds over time
  • Proactive, continuous improvement
Example: DSO improves 40% and stays low, cycle after cycle

The Three Parts

A clear, linear model that replaces ad-hoc projects

1

Analytics (Volume)

Quantify where and how bad. Prioritize by financial impact.

  • • Surface bottlenecks and data errors
  • • Rank by error volume and manual touch time
  • • Baseline metrics for tracking
2

Rule Regime

Codify policy. Deterministic enforcement; AI proposes improvements.

  • • Turn implicit rules into explicit constraints
  • • AI-generated process maps (pilot)
  • • AI rule suggestions (Q2 2026 roadmap)
3

Process Map

Visual, opinionated flows. Breakpoints and reprocess are explicit.

  • • Make breakpoints explicit
  • • Prevent drift with living docs
  • • Alerts + queued reprocessing (Q1 2026)
See it in action → How•Explore the product → DMS

Built for production, open for pilots

Core Platform
Analytics, Rules, Process Map
Alert & Reprocess
Email alerts, auto-retry loops
Encryption
At rest & in transit
Access Controls
Role-based permissions
EU Hosting
Supabase Frankfurt
US Hosting
Primary: Virginia
All systems operational →

Living rules, not static reports

DMS (Data Management System) turns messy operations into clear, actionable rules. Human-in-the-loop by design. Deterministic where it counts; creative where it helps.

Explore our vision →
Pilot Program — Remote demo (HQ Paris)

Join the pilot list

Core built: Analytics (Volume), Rule Regime, Process Map. We’re onboarding a small cohort; you’ll receive demo invites and changelogs.

No spam. Occasional invites, changelogs, and preview access.