Σ
Precision
One semantic KPI layer prevents metric drift. Every number traces back to its source system.
drift → 0 · lineage(n) → source
// the control layer for SMB operations
From data chaos to operational control
From data chaos to operational control
in days, not months.
One platform for metrics consistency, instant ad-hoc answers, and fully traceable internal processes. Connect your tools, unify KPI logic, and move request & approval workflows from chats into SLA-managed flows.
Launch your first SLA-tracked workflow in 7 days.
quanto://core / control-room / ops-overview
live · synced 12s ago
Reporting prep time
Δreport = Σ hoursᵢ / week
hours / week · last 8 weeks · 14.0h → 4.0h
Ad-hoc answer
8s
▼ from 4h
Reconciliations
2/wk
▼ −78%
Requests / day
214
▲ +18%
Sources synced
7/7
● all healthy
−71%
Reporting prep time
14h → 4h per week
14h → 4h per week
+33pp
SLA adherence
58% → 91%
58% → 91%
−62%
Avg response time
2.4d → 0.9d
2.4d → 0.9d
7days
To first
SLA-tracked workflow
SLA-tracked workflow
<4h
First-response SLA
on every demo request
on every demo request
Connects to the tools your ops team already runs
Google Sheets
Slack
Jira
Notion
Airtable
API · MCP · Webhooks · CSV
// why Quanto
Not another BI dashboard. A control layer.
One semantic KPI layer and execution workflows on a single surface — built integration-first, with measurable value in the first week.
⇄
Integration breadth
Connect anything through native connectors, API, MCP, webhooks, CSV, or partner-assisted mapping.
sources = Σ connectorsₙ◇
Execution control
Workflows with ownership, SLA tracking, and a full audit trail — not just charts.
SLA = met / total⌁
Time-to-value
First connected dashboard and first SLA workflow live in 7 business days. No day-1 rip-and-replace.
t_value ≤ 7 days
// how it works
Three steps from fragmented signals to control.
Connect sources
CRM, ticketing, spreadsheets, messengers, and internal systems — through native connectors, API, MCP, webhooks, or CSV fallback.
Normalize metrics
Map entities and KPI definitions into one semantic model, so every team reads the same truth from the same numbers.
Run operations
Ask ad-hoc questions in natural language and execute requests & approvals with SLA tracking and clear ownership.
// inside the product
What running operations on Quanto looks like.
Three modules, one surface — execution, answers, and early warnings, all traced back to your source systems.
Open 4
Access · GitHub repo
Budget approval · Q3
In review 2
Vendor onboarding
Resolved 9
Laptop request
Data export
Quanto Flow
Every request has an owner and an SLA clock.
Move approvals and internal ops out of chat threads into structured workflows. Routing, ownership, and a live SLA timer on every card — with a full audit trail behind it.
- Templates for access, approvals, and routine ops
- Automatic routing and escalation on SLA risk
- Status transparency for requesters and owners
What was our SLA adherence last month, and how did it move?
SLA adherence was 91% — up +33pp versus the prior period. Biggest gain came from access requests.
source: Quanto Flow · Jira · lineage verified ✓Ask anything about your operations…↵
Quanto Copilot
Ask in plain English. Get a traced answer.
No more half-day analyst tickets. The copilot answers ad-hoc questions over your approved data model in seconds — and every answer shows the source systems it came from.
- Natural-language Q&A over company metrics
- Answer provenance down to the source row
- Save and reuse queries as living dashboards
Cycle time spikeJira · +38% vs 7-day avg
2mSLA adherence recoveredQuanto Flow · 91% → target met
26mReconciliation mismatchSheets ⇄ Airtable · 3 rows
1hThroughput above forecastSlack intake · +18%
3h
Quanto Pulse
Anomalies surface before they become fires.
Pulse watches every signal in real time and flags drift the moment it appears — with the source, the delta, and the owner already attached, so the right person acts first.
- Live anomaly & threshold detection
- Source, delta, and owner on every alert
- Routed straight into a Flow when action is needed
// proof
A numeric before/after, not a promise.
80-employee B2B SaaS · 7 disconnected systems · ops team of 5
measured after 45 days with Quanto
Measure every signal.
Control every outcome.
From fragmented tools to one accountable operating flow — measured, owned, and traceable end to end.
Book a demo
// operational signals
Every metric, live and traceable.
A sample of the operational signals Quanto Pulse tracks in real time — each one mapped to a source system, with an SLA clock and a delta against last period.
Request throughputthroughput = Δreq / Δt · src: Slack, Jira
214 /day
+18%
Cycle timecycle = t_close − t_open · src: Jira
1.9 d
−41%
SLA breachesbreaches = Σ(t > sla) · src: Quanto Flow
3 /wk
−72%
Manual reconciliationsrecon = Σ mismatches · src: Sheets, Airtable
2 /wk
−78%
Active workflowsactive = Σ open_flows · src: Quanto Flow
31
+9
// from the operators
What ops leaders say after rollout.
"We stopped rebuilding the same leadership report every Monday. The numbers finally match across teams, and I can trace any figure to its source in one click."
"Approvals used to die in Slack threads. Now every request has an owner and an SLA clock. Our adherence went from coin-flip to predictable."
"The ad-hoc copilot answers in seconds what used to be a half-day analyst ticket. It paid for itself before the pilot ended."
// product architecture
One naming system. Five working modules.
Quanto Core
Unified KPI & semantic model.
Quanto Mesh
Integration network: API, MCP, webhooks, files, custom.
Quanto Flow
Internal workflows, ownership & SLA tracking.
Quanto Pulse
Alerts, anomalies & operational status.
Quanto Copilot
Natural-language analytics & ad-hoc insights.
// straight answers
The questions ops teams actually ask.
"Integration will be too hard."
Phased onboarding with a first-value timeline. No forced replacement of existing tools on day one — your first dashboard and SLA workflow go live within 7 business days.
"Our stack is custom."
API, MCP, and custom-connector paths with migration support. If it emits events or exposes data, Quanto Mesh can map it.
"Data from multiple systems is inconsistent."
A single semantic layer reconciles definitions, and every answer carries lineage back to its source system.
"Isn't this just another BI dashboard?"
BI shows charts. Quanto adds workflow ownership, SLA enforcement, and an audit trail — execution, not only visibility.
"What about security?"
Role-based access control, least-privilege scoped connector permissions, and a full action audit trail.
// the pilot
A scoped pilot, not a six-month project.
We start narrow and measurable. Pricing is usage-based and scoped to your rollout — shared live on the demo call, with no public list price to reverse-engineer.
What the pilot includes
- 3 source systems connected and normalized
- 1 live SLA-tracked workflow in Quanto Flow
- Ad-hoc Copilot over your approved data model
- Agreed success metrics tracked from day one
- Rollout proposal with timeline and target KPIs
// book a demo
See your stack inside Quanto.
A tailored walkthrough on one core workflow and three connected systems. We respond within 4 business hours and offer a slot within 2 business days. Pricing is shared live on the call, scoped to your rollout.
- 10 min — pain mirror
- 15 min — your stack in Quanto
- 10 min — quantified rollout scenario