Quadra-AI logoQuadra-AISupport, Evolved
Operational intelligence for Support

Know what's happeningin Support beforeyou have to look for it.

Quadra is being built to connect to your Support stack and analyse conversations, performance, customer behaviour and operational patterns — to help you understand what changed, why it matters and where to look next.No more piecing the story together across dashboards, spreadsheets and individual tickets.

Pre-launch, working with Design Partners. Built for Support leaders, designed to work with the tools you already use.

app.orbit.quadra.aiIllustrative data
Orbit · Support
Operation overview
● Sample · last 7 days
Support Health
82
−3 vs last week
Active Signals
3
1 high · 2 lower
Customer Risk
5
accounts to watch
Quality
91%
QA sampled
Team Performance
18
agents active
Queue Health
216
open · +12%
Emerging Trends
CSV export
fastest-growing ask
Accounts to Watch
Northstar
frustration ↑
Signal detected
HIGH
Checkout-related contacts increasing
+43%vs previous 7-day baseline
37
related conversations
12
accounts affected
Potential driver: Checkout API errors
Illustrative data
Based on 37 conversations
Illustrative feed · sample conversations
#4821Checkout error at payment stepVantage Retail2m ago
#4820Can't reset passwordMeridian Health3m ago
#4818Requesting scheduled CSV exportFoundry5m ago
#4815Billing charged twiceNorthstar Labs6m ago
#4812Bulk user import failingBluewave8m ago
#4809API returning 500 on webhookVantage Retail11m ago
#4821Checkout error at payment stepVantage Retail2m ago
#4820Can't reset passwordMeridian Health3m ago
#4818Requesting scheduled CSV exportFoundry5m ago
#4815Billing charged twiceNorthstar Labs6m ago
#4812Bulk user import failingBluewave8m ago
#4809API returning 500 on webhookVantage Retail11m ago

Designed to work across the Support stack you already have.

ZendeskIntercom / FinSalesforceDevRevMore to come

Quadra is designed to sit above your existing Support tools, creating one intelligence layer across the operation.

The problem

Your Support operation already has the answers.Finding them is the problem.

Every customer conversation contains information about your product, your team, your customers and your operation. But those signals are spread across thousands of tickets, multiple tools, dashboards and reports.

Which customer is becoming increasingly frustrated?Why has this agent's performance changed?What suddenly started driving more tickets?Which accounts might need attention?What are customers repeatedly asking for?What's creating the backlog?What changed this week?
What should I actually be paying attention to?

The answers are probably already somewhere inside your Support data.

Quadra helps you find them.
Without the digging.

From searching for answers to being shown what matters.

Today
Dashboard
Filters
Another dashboard
Export CSV
Spreadsheet
Spot-check tickets
Compare periods
Ask someone else
Another spreadsheet because obviously
Try to build the story
Somewhere, Clippy is looking at this workflow and thinking: "Mate, even I could help with this."
With QuadraIllustrative data
Signal detected

Checkout-related conversations increased 43% this week.

Why?
Aura

The increase began Tuesday afternoon and is concentrated across 12 accounts. 31 conversations mention a recurring checkout API error.

31 supporting conversations · 12 accounts
Meet Quadra

One intelligence layer across your entire Support operation.

Quadra is being built to connect to the systems your Support team already uses and analyse the data flowing through them. Instead of giving you another place to manually search for answers, Quadra is designed to observe what is happening across the operation and surface the signals that deserve attention.

Your CRM records the conversations.
Quadra understands what they mean.
Aura

Ask anything about your Support operation.

Aura connects the intelligence across Quadra and lets you investigate your Support operation using plain English. Instead of building reports, combining filters and manually digging through conversations, ask the question you actually want answered.

Ask the question. Aura does the digging.

Think Ask Jeeves. Except it actually knows your Support operation.

app.orbit.quadra.ai/auraIllustrative data
ChatDecision LedgerAura online ●
Which customers have shown the biggest increase in frustration over the last 60 days?

Based on Support interactions over the last 60 days, three accounts show a notable increase in frustration signals.

Northstar Labs↑ Increasing
Primary driver
Repeated billing issues
Volume
+27%
Last escalation
4 days ago
Based on 247 conversations · Last 60 days
Vantage Retail↑ Increasing
Primary driver
Checkout API errors
Volume
+41%
Last escalation
2 days ago
Based on 247 conversations · Last 60 days
Meridian Health↗ Slight rise
Primary driver
Slow first response
Volume
+12%
Last escalation
9 days ago
Based on 247 conversations · Last 60 days
Ask Aura anything about your support data…
Aura uses AI to analyse your data. Every answer links to the conversations behind it.
Start with a question — watch Aura answer
Architecture

Six specialised modules.One connected intelligence layer.

Different parts of a Support operation require different types of intelligence. Quadra uses six specialised modules, each focused on a different area of Support. They can operate independently, while Aura connects their intelligence together.

AURAAsk anything · connects the intelligence
Signal
Pulse
Assure
Shield
Evolve
Spark
QUADRAUnified Support intelligence engine
Your Support data / stack
ZendeskIntercomSalesforceDevRev
The six modules

Six areas of Support. Six specialised modules.

Quadra is pre-launch. Each description is what the module is designed to do, and the examples are illustrative.

Proactive detection

Signal

— Spot what changed.

Signal continuously monitors Support activity for unusual patterns, emerging issues and meaningful changes that might otherwise go unnoticed. Your best proactive partner.

Example · Password-reset contacts increased 68% over the last 24 hours.
Operational intelligence

Pulse

— Know how Support is performing.

Pulse helps leaders understand operational health, workload and performance patterns across the Support organisation. Check the heartbeat of your operation.

Example · First-response time increased this week, primarily within the Enterprise queue.
Quality intelligence

Assure

— Understand the quality behind the metrics.

Assure analyses Support interactions for recurring quality patterns, behaviours and coaching opportunities — without relying entirely on manual ticket reviews.

Example · A recurring resolution behaviour has appeared across three team members.
Customer risk

Shield

— See frustration before the escalation.

Shield identifies changes in customer frustration, repeated problems and Support behaviour that may indicate increasing account risk — so a manager can step in before the customer asks for one.

Example · Account frustration has increased across the last four interactions.
Customer & product intelligence

Evolve

— Turn conversations into product intelligence.

Evolve identifies recurring questions, product friction, feature requests and emerging themes hidden across Support conversations. Build what actually matters.

Example · CSV export has become the fastest-growing feature request this month.
COMING SOON
Intelligent gamification

Spark

— Because morale matters.

Spark turns real Support performance and achievements into meaningful recognition, helping leaders reward the people behind the numbers.

SPARK.EXE
Loading…
COMING SOON
Signal

You shouldn't need to wait for hundreds of tickets to realise something changed.

Signal is designed to observe Support activity and look for unusual patterns as they develop.

This isn't dial-up. You shouldn't have to wait that long.

01
Something changes
A pattern starts appearing in the queue.
02
Signal notices
Related conversations and metrics begin deviating from the expected pattern.
03
Context is assembled
Quadra groups the relevant conversations and signals together.
04
Impact is assessed
Scope, affected customers and available context are evaluated.
05
Brief created
Quadra explains what appears to be happening — with evidence.
06
Investigate with Aura
Ask follow-up questions immediately, in plain English.
app.orbit.quadra.ai/signalIllustrative data
Active signals● Sample
SIG-1042HIGHInvestigating
Checkout failures increasing
First detected
09:42
Change
+43%
Conversations
37
Accounts
12
Potential driver
Checkout API
Pattern deviated from expected baseline at 09:38
Related conversations grouped across affected accounts
Impact assessed — customer-facing, escalating
Based on 37 conversations · 12 accounts
The product

The whole Support operation. One place to understand it.

app.orbit.quadra.aiIllustrative data
Orbit · Support
Operation overview
● Sample · last 7 days
Support Health
82
−3 vs last week
Active Signals
3
1 high · 2 lower
Customer Risk
5
accounts to watch
Quality
91%
QA sampled
Team Performance
18
agents active
Queue Health
214
open · +12%
Emerging Trends
CSV export
fastest-growing ask
Accounts to Watch
Northstar
frustration ↑

Hover a tile to see which module powers it. Aura is always one question away.

Real Support work

Built around the questions Support leaders actually ask.

Preparing for a 1:1
What should I actually discuss with this person?

Bring together performance patterns, quality signals and relevant conversations before the meeting.

Investigating an escalation
What actually happened with this customer?

Bring together recent interactions, frustration patterns, recurring issues and relevant context.

Weekly Support review
What changed since last week?

Surface meaningful changes rather than manually comparing dashboards.

Ticket volume
Why is the queue suddenly getting busier?

Identify the topics and conversations driving the change.

Coaching
Is this a one-off or a recurring behaviour?

Look across conversations instead of relying entirely on manual spot checks.

Customer risk
Who might need our attention?

Identify accounts showing changes in Support behaviour or frustration.

Support as business intelligence

Support knows more about your business than most companies realise.

Customers tell Support what's broken, what's confusing, what they want and how they feel about your product every single day. Quadra helps turn those conversations into intelligence the rest of the organisation can actually use.

Support
  • Operational changes
  • Quality
  • Performance
  • Queue health
Customer Success
  • Account frustration
  • Repeated issues
  • Risk indicators
  • Escalation context
Product
  • Feature requests
  • Product friction
  • Recurring confusion
  • Emerging customer needs
Executives
  • Support health
  • Major changes
  • Customer risk
  • Operational briefs
Distribution

The right insight should reach the right person.

Quadra shouldn't require everyone in the company to log into another dashboard. Relevant intelligence can become briefs, summaries and updates for the people who need it.

Slack distribution is on the roadmap.

#support-leadershipMonday · 09:00· Illustrative data
QUADRA WEEKLY SUPPORT BRIEF
3 meaningful changes this week
↑ Billing contacts +21%
⚠ 4 accounts showing increased frustration
↓ First-response time improved 12%
Emerging theme: Bulk user management
CRM independence

Your Support intelligence shouldn't disappear when your CRM changes.

Support tools change. Companies migrate platforms, add systems and restructure workflows. Quadra sits outside the CRM itself, creating a consistent intelligence layer across your Support operation.

Then
Orbit · Support● Sample
Support Health
82
Active Signals
3
Customer Risk
5
Quality
91%
Ask Aura
QUADRAPOWER
1998
Now
app.orbit.quadra.aiIllustrative data
Orbit · Support● Sample
Support Health
82
Active Signals
3
Customer Risk
5
Quality
91%
Ask Aura
Next
QUADRAThe intelligence layer

Okay, Quadra didn't actually run on a Pentium II. We hadn't built it yet.

ZendeskQuadra
IntercomQuadra
SalesforceQuadra
DevRevQuadra
Change the system of record.
Keep the system of understanding.
How Quadra works

Connect. Observe. Understand. Act.

01
Connect
Connect your Support stack.

Quadra connects to the systems where your Support data already lives.

02
Observe
Quadra continuously analyses the operation.

Specialised modules look for patterns across performance, quality, customers, conversations and operational behaviour.

03
Understand
Aura connects the intelligence.

Ask questions, investigate signals and understand why something changed.

04
Act
Take the next step with context.

Coach the team, investigate an issue, contact a customer, brief Product or share with leadership.

See Quadra in action

Give us a minute.

No polished sales pitch. No 47-slide deck. Just Quadra doing what Quadra does.

app.orbit.quadra.aiIllustrative data
Orbit · Support
Operation overview
● Sample · last 7 days
Support Health
82
−3 vs last week
Active Signals
3
1 high · 2 lower
Customer Risk
5
accounts to watch
Quality
91%
QA sampled
Team Performance
18
agents active
Queue Health
214
open · +12%
Emerging Trends
CSV export
fastest-growing ask
Accounts to Watch
Northstar
frustration ↑
Design Partner programme

We're looking for 4–5 Support teams to help us build Quadra properly.

Quadra is at the stage where we want to put it inside real Support operations and learn from what happens. We're looking for a small number of teams willing to test Quadra against real data, real workflows and real problems.

  • Get early access to Quadra and be among the first to use AI built for Support.
  • Lock in reduced pricing for 12 months.
  • Use the platform with your own Support operation.
  • Have weekly calls with our founders to help shape Quadra around your team's needs.
  • Have a direct say in what we prioritise.
  • Tell us what works, what doesn't, and what we're completely missing.

We're not looking for companies to politely tell us everything looks great. We want you to put Quadra through its paces.

We will use the details you send to reply to your application and to follow up about the Design Partner programme. See our privacy notice.

Why Quadra exists

Built because dashboards weren't giving me the answer.

Quadra started with a problem I kept running into while working in Support.

The data existed. The dashboards existed. The conversations existed. But understanding what was actually happening still required hours of digging.

Preparing for a 1:1 meant checking metrics and then manually reading conversations to understand the behaviour behind them. Understanding customer frustration meant piecing together interactions. Finding recurring issues meant manually looking for patterns. And in fast-moving companies, reporting constantly needed to change as the business changed.

I didn't want another dashboard.I wanted the Support operation to tell me what I needed to know.

That's what became Quadra.

SV
Stefano Virgili
Co-founder, Quadra
Security

Your Support data is sensitive.We're building Quadra accordingly.

Security, privacy and responsible handling of customer data are core requirements of the platform, not something we plan to bolt on later.

Encryption

Data encrypted in transit and at rest across the platform.

Access control

Role-based access with least-privilege defaults for every account.

Data isolation

Customer data is logically isolated per organisation.

Retention

Configurable retention aligned to your data policies.

Privacy

We process Support data to generate intelligence — not to train shared models on your customers.

Subprocessors

A maintained list of subprocessors, available on request.

Compliance

Building toward recognised security standards as we scale. We'll only ever claim what we actually hold.

Support, Evolved.

Your Support operation is already telling you what's happening. Quadra helps you hear it.

We're looking for a small number of Support teams to help us build what comes next.

Bring us your dashboards, your messy queues, your impossible questions and your weird workflows. Let's see what Quadra finds.

Because it's not the 90s anymore.
Sadly.