flightdeck

Data flows in.
Decisions flow out.

Connect every system to one model of your business. Your team gets the context and the tools to act, wherever they work.

Your Business
Your Data Sources
Salesforce
accounts, contacts
Stripe
charges, subscriptions
QuickBooks
invoices, payments
sync·transform·model
Your Business Model
★
Customer
unified object
name"Vantage Corp"
Salesforce
arr$73,200
Stripe
balance$0.00
QuickBooks
health_score34/100
computed
Your Actions
upsellProduct()1/3
✓Salesforceopportunity created
✓Stripesubscription upgraded
✓QuickBooksinvoice added

Your business context, in every workflow

Your business model powers every surface — chat, code, notebooks. One source of truth, always in sync.

O
Ops Lead
Flightdeck Agent
Y
Which accounts have open engineering issues tied to active support complaints?
F
Found issues correlated with open tickets across 3 accounts, ranked by revenue exposure:
Atlas Logistics $156K ARR—Peak-hour API timeouts (active complaint, impacting production). Inventory sync failing for 3 warehouses.
Signal Labs $14.4K ARR, 892K reqs/day—Rate limit misconfiguration causing 6.2% error rate. Auth tokens expiring early. Filed “evaluating alternatives.”
Pinnacle Foods $36K ARR—Webhook delivery failures. Low severity, workaround in place.
Y
Escalate the Atlas timeout and message their Slack channel
F
Done. Here's what I did:
✓Escalated ENG-412 to Urgent in Linear
✓Posted to #atlas-support in Slack with full account context
✓Audit trail logged — who, when, what changed
E
Engineer
AI Chat
Build a customer analytics dashboard. Usage trends vs contract value, error rate patterns, and health scoring. Add drill-downs per account.

Building with your Account type — 22 fields, 3 relations.

· api_usage for daily request & latency trends
· support_ticket + engineering_issue for health scoring
· Three tabs: Overview, Usage drill-down, Health signals
dashboard.tsx StatCard.tsx health.ts
Generating component...
Live Preview
Customer Analytics
Export
Overview
Usage
Health
Total ARR
$474K
Requests
30.2K/day
Error Rate
3.1%
Avg Latency
68ms
ARR by Customer
Meridian
$220K
Atlas
$156K
Relay
$48K
Pinnacle
$36K
Signal
$14K
Customer Plan Reqs/Day Errors Health
Meridian Health ENT 180K 0.3%
94
Atlas Logistics ENT 246K 1.8%
68
 Escalate
Signal Labs STR 892K 6.2%
18
 Escalate
Signal Labs — 892K reqs/day on Starter ($14.4K). Cost/req 50x below fleet avg.
A
Revenue Analyst
notebook — utilization_analysis.py
In [1]:
accounts = o.account.list(
where="arr": FilterOp(gte=10_000),
include=["api_usage", "contracts"],
)
In [2]:
df = accounts.to_df()
df["utilization"] = df.avg_daily_requests / df.rate_limit
df[df.utilization > 0.8][["name", "arr", "utilization"]].sort_values("arr", ascending=False)
Out[2]:
name arr utilization
0 Atlas Logistics 64,000 0.87
1 Relay Commerce 24,000 0.82
2 Signal Labs 14,400 0.94
In [3]:
tickets = o.support_ticket.list(where="is_open": FilterOp(eq=True))
df["open_tickets"] = df.name.map(tickets.to_df().groupby("account_name").size())
df[["name", "arr", "utilization", "open_tickets"]]
Out[3]:
name arr utilization open_tickets
0 Atlas Logistics 64,000 0.87 3
1 Relay Commerce 24,000 0.82 1
2 Signal Labs 14,400 0.94 5

The ops lead triaged and escalated. The engineer built the dashboard. The analyst spotted three accounts hitting their ceiling.
Same Account object. Same truth.

Not just dashboards. Actions.

Every analytics tool lets you look at problems. Flightdeck lets you fix them—without leaving the interface, without losing the source of truth.

Atlas Logistics
Account · Enterprise
At Risk
ARR
$156,000
Health Score
68 / 100
Open Issues
3 in Linear
✓
ENG-412 escalated to Urgent
Peak-hour API timeout — promoted from Backlog in Linear.
✓
API rate limit increased to 1,200 req/min
Bumped from 500 via platform config — buys headroom while the fix ships.
✓
Account status updated
Set to “escalated” — stored as an overlay. Source data untouched.
✓
Renewal flagged in Salesforce
Opportunity created, stage set to “Renewal — At Risk.” CSM notified.

One conversation. Four systems. Zero context switches.

Follow the thread

Every object links to the objects around it. Follow those links and root causes surface in seconds—not meetings.

Revenue Overview
Dashboard
Revenue Overview
Revenue$0.00
Expected$24,800 / week

Your CFO thinks revenue vanished. It’s an expired API key.

Connect everything. See one customer.

Your CRM says Vantage is a $50K account. Your billing says they're paying $73K. Your product DB says they haven't logged in for 6 months. Which one is right? All of them.

Pipeline Builder
Raw Sources
raw_accounts
raw_charges
raw_events
raw_assets
Identity Match
1,847
entities resolved
→
Unified Object
★ Customer
name: "Vantage Corp"
arr: $73,200
tier: Enterprise
last_login: 47 days ago
sources: 3/4 matched
"I found Vantage Corp in CRM, Billing, and Product. No match in Storage. Unified as Customer with 47 fields across all sources."

Three steps to your operating system

01

Connect

We connect to your databases, APIs, and warehouses. Data syncs continuously and stays fresh.

02

Model

We map your data into business objects - customers, orders, subscriptions - shaped to how your team thinks about the business.

03

Operate

Your team gets custom tools, notebooks, and agents built on your model - and they can act across systems from one place.

Book a Demo

How we work

How long does setup take?

We onboard every customer ourselves. Your data is flowing in Flightdeck within a day. Within a week, your team is operating on it. We're not a self-serve tool you fight with for three months - we connect your systems and build your model alongside you.

What does our team actually get?

Custom operational tools built around your business model. Flightdeck generates a typed SDK from your specific objects and relationships, so every app your team uses is shaped to your business - not a generic template. Billing reconciliation, customer onboarding portals, growth dashboards, renewal workflows. Shareable internally, fully customizable, and always working against live data.

What do you need from us?

Access to your systems and thirty minutes of your team's institutional knowledge - the stuff that lives in people's heads and nowhere else. Your customer channels in Slack follow a naming convention. Your product names in Salesforce don't match what's in Stripe. Certain invoices in QuickBooks have a known line-item quirk your team manually corrects. We capture that context and encode it into the system so it stops being tribal knowledge and starts being infrastructure.

What systems do you connect to?

Anything with an API or a database. Salesforce, Stripe, QuickBooks, HubSpot, Jira, Linear, Slack, Postgres, Snowflake, and your own internal APIs. If your team uses it, we connect to it.

We already use Fivetran / Segment / Census. Do we need to replace them?

No. Flightdeck can pull directly from your sources or sit on top of a warehouse you've already built - connecting to Snowflake or BigQuery alongside your raw systems. The difference is what happens after the data lands: those tools move data, Flightdeck models it into business objects and gives your team an action layer across all of it.

Does Flightdeck write back to our systems?

Only when you tell it to, and only with the permissions you've already granted. Every action - updating a Salesforce field, closing a Linear issue, sending a Slack message - uses your existing credentials and is logged with a full audit trail.

How does the data mapping work?

We sit with your team to understand how your systems connect. Flightdeck turns that into a working model - the mapping, the joins, the sync. You review everything before it ships.

Do I need engineers to use this?

The chat interface works without code. Notebooks and the SDK are there for teams that want them. Most customers start with chat and grow into code as their model matures.