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
−78%
Manual reconciliations
per week
per week
−41%
Cycle time
open → close
open → close
8s
Ad-hoc answer time
was a half-day ticket
was a half-day ticket
50+
Native connectors
plus API & MCP
plus API & MCP
100%
Answers with lineage
back to the source
back to the source
// integration network · quanto mesh
Connect your whole stack. Then never copy-paste again.
Quanto Mesh speaks to the tools your operations already run — through native connectors, API, MCP, webhooks, and CSV. Every source is normalized into one semantic model, with lineage from any answer back to its origin.
50+ native connectors
5 connection modes
∞ custom via API & MCP
Communication & support
Slack
Microsoft Teams
Discord
Telegram
Gmail
Outlook
Intercom
Zendesk
Projects, tickets & dev
Jira
Linear
Asana
Trello
ClickUp
Monday
GitHub
GitLab
Bitbucket
Basecamp
Sentry
PagerDuty
Datadog
Docs, sheets & databases
Notion
Confluence
Google Docs
Coda
Google Sheets
Airtable
Excel
PostgreSQL
MySQL
Snowflake
BigQuery
CRM, finance & analytics
Salesforce
HubSpot
Pipedrive
Zoho CRM
Stripe
QuickBooks
Xero
Google Analytics
Segment
Amplitude
Storage & build-your-own
Google Drive
Dropbox
Box
OneDrive
Zapier
Make
Webhooks
REST API
MCP server
Don't see yours?
If it has an API, emits events, or exports a CSV — Quanto Mesh can map it. Plus fully custom connectors via API & MCP, built with you during onboarding.
Request a connector
// 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◷
SLA by default
Every request carries an owner and a clock. Escalations fire automatically before a deadline slips, not after.
escalate if t → sla⌘
Natural-language ops
Ask in plain English and get a traced answer in seconds — no SQL, no analyst queue, no half-day tickets.
ask → answer + lineage⛉
Governed access
Role-based permissions, least-privilege connector scopes, and a full action audit trail on every change.
RBAC · audit(all)⥁
No rip-and-replace
Quanto sits on top of the tools you already run. Phased rollout, zero forced migrations on day one.
stack += Quanto
// 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.
- 50+ native connectors out of the box
- Scoped, least-privilege permissions
- First sources live in hours, not weeks
Normalize metrics
Map entities and KPI definitions into one semantic model, so every team reads the same truth from the same numbers.
- Shared KPI definitions, zero metric drift
- Entity resolution across systems
- Lineage from every number to its source
Run operations
Ask ad-hoc questions in natural language and execute requests & approvals with SLA tracking and clear ownership.
- Natural-language Copilot answers
- SLA-tracked request & approval flows
- Anomaly alerts routed to the right owner
Typical rollout timeline
Day 1Connect first 3 sources
Day 3Shared KPI model live
Day 7First SLA workflow in production
Day 30Measured before/after impact
// inside the product
What running operations on Quanto looks like.
Four modules, one surface — a shared KPI model, execution, instant 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
SLA adherenceverified
= requests_met / requests_total
Quanto FlowJira
Cycle timeverified
= t_close − t_open
JiraLinear
Reporting prepverified
= Σ hoursᵢ / week
SheetsAirtable
Quanto Core
One definition per metric. Shared by everyone.
Core is the semantic layer where each KPI is defined once, mapped to its source systems, and reused everywhere. No more three teams reporting three different numbers for the same thing.
- Single source of truth for KPI definitions
- Versioned, owned, and review-approved
- Reused across Flow, Pulse, and Copilot
// 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
140-employee tech-enabled services · 11 systems · ops team of 9
measured after 60 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
Approval lead timelead = t_approve − t_submit · src: Slack, Flow
0.7 d
−64%
First-response timefrt = t_first − t_open · src: Zendesk
12 min
−58%
Data freshnessfreshness = now − last_sync · src: Quanto Mesh
11 s
stable
Owner coveragecoverage = owned / total · src: Quanto Flow
100 %
+22pp
Escalations triggeredesc = Σ sla_risk · src: Quanto Pulse
4 /wk
−55%
// 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."
"Onboarding didn't mean ripping anything out. We connected Sheets, Slack, and Jira on day one and had a live SLA workflow by the end of the week."
"For the first time finance and ops agree on the same numbers. The lineage view ended a year of 'whose figure is right' arguments."
"Pulse flagged a cycle-time spike before any customer complained. We fixed the bottleneck the same morning instead of finding out in the monthly review."
// product architecture
One naming system. Five working modules.
Quanto Core
Unified KPI & semantic model — one definition per metric.
- Shared KPI definitions
- Lineage to source
Quanto Mesh
Integration network: API, MCP, webhooks, files, and custom.
- 50+ connectors
- Scoped permissions
Quanto Flow
Internal workflows with ownership & SLA tracking.
- Routing & escalation
- Full audit trail
Quanto Pulse
Alerts, anomalies & live operational status.
- Threshold detection
- Owner-routed alerts
Quanto Copilot
Natural-language analytics & ad-hoc insights.
- Plain-English Q&A
- Answer provenance
// 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.
"How long until we see value?"
Your first connected dashboard and first SLA-tracked workflow go live within 7 business days. Measured before/after impact typically lands inside the first 30–45 days.
"Do we have to replace our current tools?"
No. Quanto sits on top of the stack you already run. Rollout is phased, and nothing is forced out on day one.
"How does pricing work?"
A base platform fee plus usage tiered by connected sources and active workflows. No public list price — we scope it to your rollout and share it live on the demo call.
"Who is this built for?"
SMB operations teams — typically 30–250 employees with several disconnected systems and an ops or COO owner carrying the reporting burden.
"Can the AI answers be trusted?"
Every Copilot answer runs over your approved semantic model and carries lineage back to the source rows, so you can verify any figure in one click.
// 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
- Shared KPI definitions in Quanto Core
- Ad-hoc Copilot over your approved data model
- Pulse anomaly alerts on your key signals
- Agreed success metrics tracked from day one
- Integration readiness checklist up front
- 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