“My job is making sure dedup + merge logic — without anyone on your team having to ask.”
We watched our own data & analytics team burn out on work that never stopped. Data Cleaning Specialists were leaving for better pay, calling out sick, and taking weeks to train — meanwhile the queue kept growing and customers kept waiting. There was no way to hire fast enough.
Mateo was built to be the piece of the team that's always there. Not a bot reading from a script, but a worker who knows the systems, the SOPs, and the judgment calls — so your senior people get their time back for the work only they can do.
Mateo in their own words.
I'm the data cleaning specialist your data & analytics team leans on when the queue starts stacking. Dedupe, normalize, enrich — your CRM / ERP ready for reporting. I own the work end-to-end — you hand me the inbox, the ticket, or the call, and it gets done right the first time.
Day to day I'm running dedup + merge logic, address + phone normalization, enrichment via third-party sources. I know the systems your team uses, I know what "clean" looks like in this seat, and I don't drop details when the volume climbs.
I work inside your stack, not alongside it. Every action I take is logged, every handoff has context, and your senior people get their time back for the work only they can do.
Hear Mateo on a real call.
This is how Mateo handles a caller end-to-end — answer, capture, confirm, close. Request a demo to hear one live with your business.
Mateo is in production. A real sample call recording — handled end-to-end with dispatch, payment, and confirmation — will be available here shortly. Request a demo to hear one live with your business.
What Mateo does best.
Everything Mateo does, top to bottom.
These aren’t theoretical. Every item below is part of Mateo’s live SOP on real deployments.
- Dedup + merge logic
- Address + phone normalization
- Enrichment via third-party sources
- Before / after reports
- Logs every action in your system of record
- Escalates with full context when scope is exceeded
- Runs against SOPs you approve before go-live
- Works inside your stack — no new tools required
How Mateo works a typical ticket.
Five steps, every time. Nothing skipped, nothing improvised.
Pick up the work
New data cleaning specialist work lands in my queue — form, ticket, email, or inbound request. I triage within minutes of arrival.
Dedup + merge logic
Dedup + merge logic. Done inside SOP, logged step-by-step, never skipped.
Address + phone normalization
Address + phone normalization. Done inside SOP, logged step-by-step, never skipped.
Enrichment via third
Enrichment via third-party sources. Done inside SOP, logged step-by-step, never skipped.
Document + hand off
Every action lands in your data & analytics system of record. If anything exceeds scope, I warm-transfer with full context — your team never starts from zero.
The tools Mateo works inside.
Mateo plugs into your existing stack. No new tools to learn, no data silos, no black box.
Built for the operators Mateo already works with.
Work Mateo has already done.
Every role below represents live deployments on real businesses — not theoretical capabilities.
- Primary data cleaning specialistEmbedded in data & analytics teams
Dedupe, normalize, enrich — your CRM / ERP ready for reporting.
- Dedup + merge logicDaily workload
Dedup + merge logic · Address + phone normalization · Enrichment via third-party sources. Every action logged, every handoff documented.
- Cross-team coordinationInterfaces with data & analytics stakeholders
Works alongside your existing team — never a black box. When scope exceeds the runbook, escalates with full context and proposed next step.
Real calls. Real tickets. Real outcomes.
Request came in via Slack at 9:12 AM. By 10:04 Mateo had processed the work, flagged one edge case to the team lead, and closed the loop with a short summary + links to the system of record.
Teams that already hired Mateo.
Challenge, solution, and the numbers that changed after go-live.
E-commerce operator missing data cleaning specialist work after hours. Senior staff pulled onto routine tasks; errors stacking up; customer follow-through slipping.
Deployed this worker on the primary dedup + merge logic flow. Loaded the SOP, wired the integrations, and flipped live inside 48 hours.
Growing healthcare team could not hire fast enough to keep up with data cleaning specialist volume. Backlog grew 3x in 90 days; escalations ran hot.
Handed over the routine 80% of the queue. Senior staff kept the judgment calls. Every action logged in the system of record.
Mateo vs. hiring a human.
The math, laid out. No salary, no turnover, no sick days.
| Scenario | Human hire | Temp agency | Mateo |
|---|---|---|---|
| Annual cost | $49,000 | $71,050 | $4,188 |
| Hours covered | 40/week | 40/week | 168/week |
| Sick days | 10+/yr | 2+/yr | 0 |
| Ramp time | 6–8 weeks | 1–2 weeks | 48 hrs |
| Turnover risk | High | Very high | None |
Pick the bundle that fits your volume.
Buy minutes, not employees. Every plan includes full onboarding and integration. Upgrade or downgrade any month.
- 300 minutes / month
- $1.50/min overage
- One AI worker
- Standard SOP training
- Email support
- 500 minutes / month
- $1.50/min overage
- Custom SOP + voice training
- CRM / system-of-record integration
- Priority support
- Monthly tuning session
- 1,500+ minutes / month
- $1.50/min overage
- Multi-line / multi-region
- Custom voice + white-glove onboarding
- Dedicated CSM
- Per-team reporting
- SLA + BAA available
Need more volume? See all 14 tiers →
From signup to live in under 48 hours.
Four steps. We handle the technical work. You focus on the SOPs and the first-week review.
Pick your plan
Choose a minute bundle that matches your volume. Most data cleaning specialist ops start on the Starter or Pro tier.
Connect your inbox / ticket system
Hook into your CRM, help desk, or ticket queue. Webhooks or native integrations — we handle the plumbing.
Upload your knowledge
Scripts, SOPs, FAQs, rate cards — anything your data cleaning specialist team would hand a new hire. We train the worker on it.
Go live in under 48 hours
Soft-launch on a small % of traffic, review recordings the first week, then flip to full volume. You stay in control.
What teams say after they hire Mateo.
“Mateo runs circles around the temp agencies we used to call. Faster, cheaper, zero ramp time.”
“We replaced a full-time data cleaning specialist seat with Mateo and didn't lose a beat. The work ships on time, every time.”
Everything teams ask before hiring Mateo.
Under 48 hours in most cases. We load your data cleaning specialist SOP, wire the integrations, and soft-launch on a small share of traffic so you can review before flipping to full volume.
Mateo warm-transfers (or routes the ticket) with a one-paragraph summary: what the caller / customer asked, what Mateo already confirmed, and why it's being escalated. Your team never starts from zero.
Whatever your team already uses. Mateo pushes actions into your existing data & analytics stack — CRM, ticket system, calendar, SOR — via native integrations or webhooks. No new tool required.
You buy a minute bundle starting at $249/month. Every minute Mateo spends on your work counts toward the bundle. Overage is billed at $1.50/min. No seats, no per-call fees, no hidden add-ons.
Any time. Upgrades prorate instantly. Downgrades apply at the next billing cycle. Your worker keeps its training, voice, and history through any change.
Yes. Mateo works every shift, including weekends and holidays. Work that lands at 2 AM gets handled before your team walks in the next morning.
Every conversation is logged, encrypted at rest, and retained per your policy. For data & analytics teams with HIPAA, PCI, or SOC2 requirements, we run on BAA-signed infrastructure with audit trails on every action.
Yes. Book a call with our team — we'll walk you through a live demo of Mateo, look at your current data cleaning specialist workflow, and map out what the first 30 days would look like.
Starting at $349/mo.
Live in under 48 hours.
Most teams run data cleaning specialists on the lite bundle or the next one up as volume grows.
