Service Constellation · 11 Verticals

Eleven clouds, one engineering standard.

Every Salesforce vertical we ship is on the same flight deck — observable, reversible, certified. Hover any service on the radar to inspect its operating envelope, capabilities, and live performance index.

11 services live82+ certifications99.97% uptime
Radar · Salesforce ecosystem
11 services · 0 downstaff
Sales CloudCPQService CloudExperienceField ServicePardotMkt CloudData CloudEinsteinB2B CommerceIntegrations
SLS-001 · Sales Cloud · +28% win-rateCPQ-002 · Salesforce CPQ · 4× quote velocitySVC-003 · Service Cloud · 2.4h avg replyEXP-004 · Experience Cloud · 72% self-servedFSL-005 · Field Service · 91% first-fixMKT-006 · Marketing Cloud · +52% engagePDT-007 · Pardot · 2.3× MQLCOM-008 · B2B Commerce · 88% utilINT-009 · Integrations · 240+ endpointsBOT-010 · Einstein Bot · 64% deflectDAT-011 · Data Cloud · 86% matchSLS-001 · Sales Cloud · +28% win-rateCPQ-002 · Salesforce CPQ · 4× quote velocitySVC-003 · Service Cloud · 2.4h avg replyEXP-004 · Experience Cloud · 72% self-servedFSL-005 · Field Service · 91% first-fixMKT-006 · Marketing Cloud · +52% engagePDT-007 · Pardot · 2.3× MQLCOM-008 · B2B Commerce · 88% utilINT-009 · Integrations · 240+ endpointsBOT-010 · Einstein Bot · 64% deflectDAT-011 · Data Cloud · 86% match
Service Explorer

Inspect any vertical in detail.

Click a service on the rail (or a blip on the radar above). The canvas updates live with description, capabilities, and the metrics we report on.

SVC-01 · COMCommerceLive
B2B Commerce
Your online store for B2B transactions — built Salesforce-native, sized for global scale.

B2B Commerce is the catalog engine that lets you sell to businesses, not consumers — bulk catalogs, contract pricing, punchout, multi-org checkout. Single transactions can run into millions; the architecture treats every cart as a first-class record.

Bulk catalog
$Contract pricing
Punchout
Multi-org
Catalog scale2.4M ▲ SKUs indexed
Cart conversion+34% ▲ vs. baseline
Throughput tierT-1 ▲ 88% util
SLO · 99.97% · last incident 114d ago
Engage B2B
SVC-02 · AIAI · BotsLive
Einstein Bot
Your company's virtual assistant — a tireless first-line responder.

While agents handle escalations, Einstein Bot fields the straightforward queries — password resets, status checks, FAQ deflection. It learns from every conversation it handles and hands off cleanly when intent gets ambiguous.

NLU intents
Multi-channel
Live handoff
Self-learning
Deflection rate64% ▲ ticket reduction
Intents trained180+ ▲ live
Languages14 ▲ multi-locale
SLO · 99.97% · last incident 114d ago
Engage Einstein
SVC-03 · SVCServiceLive
Service Cloud
Your companion for managing customer service at industrial scale.

Once a product ships, the work begins — calls, emails, chats, escalations. Service Cloud unifies every channel into one omnichannel desk with SLA timers, intelligent routing, and a knowledge base that learns from resolutions.

Omnichannel
Case routing
SLA timer
Knowledge
First reply2.4h ▼ 38% reduction
CSAT4.7 ▲ /5 industry top
FCR78% ▲ first-contact
SLO · 99.97% · last incident 114d ago
Engage Service
SVC-04 · EXPPortalsLive
Experience Cloud
Branded portals for customers, partners, and employees.

Experience Cloud extends every Service Cloud asset into a public-facing surface. Self-service portals, partner communities, agent collaboration — knowledge bases that answer before the ticket is filed.

Self-service
Partner portal
SSO
LWC
Self-served72% ▲ tickets deflected
KB articles1,840 ▲ indexed
Partner orgs240+ ▲ active
SLO · 99.97% · last incident 114d ago
Engage Experience
SVC-05 · CPQSales · CPQLive
Salesforce CPQ
A tool to bring in cash, quickly.

Configure-Price-Quote eliminates manual proposals, mispriced lines, and approval delays. Every quote priced right the first time, every approval routed automatically, every change tracked. Quote-to-cash, mechanically.

Configure
$Price rules
Approvals
Quote-to-cash
Quote velocity ▲ vs. manual
Discount leak−61% ▼ margin saved
Approval cycle34min ▼ from 3 days
SLO · 99.97% · last incident 114d ago
Engage Salesforce
SVC-06 · SLSSalesLive
Sales Cloud
A customizable, automated sales process — pipeline as a single source of truth.

Scattered data unified into one ledger — laptop, mobile, anywhere your reps work. Streamlined process, automated workflows, forecasting that the CFO trusts. The deal moves with the team, not against it.

Pipeline
Forecasting
Mobile-first
Automation
Win-rate lift+28% ▲ vs. baseline
Forecast accuracy94% ▲ ±6%
Activity captureauto ▲ Einstein
SLO · 99.97% · last incident 114d ago
Engage Sales
SVC-07 · PDTB2B MarketingLive
Pardot
A dedicated B2B marketing automation tool — for cycles measured in months, not minutes.

For long B2B sales cycles, Pardot generates and scores leads — the bridge between marketing campaigns and the deal that closes. Lead scoring, drip nurtures, form handlers that hand off to Sales the second intent goes hot.

Lead scoring
Drip campaigns
Form handlers
Engagement
MQL → SQL2.3× ▲ conversion lift
Avg cycle−21d ▼ time-to-close
Nurture orgs62 ▲ active
SLO · 99.97% · last incident 114d ago
Engage Pardot
SVC-08 · MKTB2C MarketingLive
Marketing Cloud
CRM to manage every segment of your marketing — at consumer scale.

Marketing Cloud orchestrates the customer journey — email, SMS, push, in-app, paid — through a single segmentation graph. Targeted campaigns, generated interactions, more business in your pipeline; every touch tracked and attributed.

Journey Builder
@Email Studio
SMS
Personalization
Engagement+52% ▲ open + click
Sends / day4.8M ▲ peak
Deliverability99.4% ▲ inbox rate
SLO · 99.97% · last incident 114d ago
Engage Marketing
SVC-09 · INTPlatformLive
Integrations
Let data be distributed across systems — fluently, in real time.

Existing systems rarely speak the same language. We make them speak fluently — MuleSoft, REST/SOAP, event-driven (Platform Events / CDC), bulk ETL. Architected for failure, idempotency, and replayability from day one.

REST / SOAP
MuleSoft
Event-driven
ETL
Endpoints live240+ ▲ in production
Events / sec14k ▲ peak
Replay window72h ▲ idempotent
SLO · 99.97% · last incident 114d ago
Engage Integrations
SVC-10 · FSLField OpsLive
Field Service Lightning
A powerful tool for off and on-field agents — the dispatcher, the technician, the customer all live on one map.

On-time, accurate, hassle-free service — the dispatcher, the technician, and the customer watching the same live truck on the same map. Routing, mobile-first asset 360, geo-optimization, knowledge in the technician's pocket.

Dispatch
Mobile app
Asset 360
Geo routing
First-time fix91% ▲ industry +18pt
Dispatch lift+34% ▲ techs / day
Customer ETA±9min ▲ accuracy
SLO · 99.97% · last incident 114d ago
Engage Field
SVC-11 · DATAI · AnalyticsLive
Data Cloud & Einstein
Unified profiles, predictive intelligence — every signal stitched into a queryable graph.

Stitch every signal — clicks, calls, transactions, support, in-product — into a single, queryable customer graph that fuels Einstein predictions, segmentation at scale, and real-time activation across every other cloud on this radar.

Profile graph
Predictions
Real-time
CDP
Profiles unified86% ▲ match rate
Streamingreal-time ▲ < 200ms
Models live22 ▲ Einstein
SLO · 99.97% · last incident 114d ago
Engage Data
Architecture Posture

One stacked architecture — five layers, zero leaks.

Every Metadologie engagement runs against the same reference stack. Whether we ship one cloud or all eleven, the foundations are identical — and the failure modes are known.

1
Data foundation — Salesforce data model, governance, and a clean entity graph before any UI gets built.
2
Integration mesh — REST, events, and bulk patterns architected for replay, idempotency, and failure.
3
Service layer — Apex, Flows, and platform events — written to be tested, not just to run.
4
Experience layer — LWC, Aura, mobile — fast, accessible, observable in the field.
5
Intelligence — Einstein, Data Cloud, Tableau — only after layers 1–4 are clean.
L1 · DataFoundation
L2 · IntegrationMesh
L3 · ServiceApex · Flow
L4 · ExperienceLWC · Mobile
L5 · IntelligenceEinstein · CDP
Delivery Method

How we actually ship a Salesforce build.

No slides, no spectator-mode workshops. Four phases, every milestone reversible, every deploy observable.

01

Discover

Working sessions with your operators — not interviews. We map the actual flow of a deal, a ticket, a quote, a return. The friction is the brief.

2–3 weeks
02

Architect

Reference architecture against Salesforce Well-Architected. Data model, integration plan, environment strategy, RACI — signed before code.

2–4 weeks
03

Engineer

Two-week sprints, every release behind feature flags, every change deployable in either direction. Quality gates are mechanical, not heroic.

8–16 weeks
04

Operate

Hypercare, observability, and a runbook — not a hand-off email. Your team owns the system; we stay close until the dashboard reads green.

Ongoing
0
Years on Salesforce
0
Enterprise shipments
0
Certified architects
0
Average uptime
Frequently Asked

The questions that come up first.

If you've evaluated Salesforce partners before, you've already asked these. Here's how we answer — straight, on the record.

Either. Most clients start with one or two clouds — typically Sales Cloud + CPQ or Service Cloud + Experience Cloud — and expand once the first phase ships green. Single SOW, modular scope.
We don't bill for slideware, we don't run discovery as theater, and we don't deploy on Friday afternoons. Every release ships behind feature flags with a tested rollback path. The dashboard is the contract.
Yes — our Integrations practice runs 240+ live endpoints across MuleSoft, REST/SOAP, event-driven (Platform Events / CDC), and bulk ETL. We architect for failure, idempotency, and replayability from day one.
Both. Einstein Bots, Einstein Discovery, and Data Cloud are first-class verticals — typically layered on top of mature Sales/Service/Marketing implementations once the data foundation is clean.
We engage when the work is load-bearing — typically 6+ week scopes. For one-off org cleanups or single-flow automations, we'd rather refer you to a partner with a different model than under-staff a project.
Engineering hubs in Seattle (US) and Jaipur (IN). We staff a deliberate 4-hour overlap window for every engagement, and pair architects across timezones so the build keeps moving when one team is asleep.

Ready to put the right cloud
on the right runway?

Talk to a Salesforce architect — no slide deck, no scripted pitch. A 30-minute working session against your actual org and your actual roadmap.

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