flightdeck

One model of your business.
Every tool you need.

Connect your systems. AI builds the model. Your team gets typed SDKs, custom tools, and writeback—in minutes, not months.

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Your Business
Your Data Sources
Salesforce
accounts, contacts
Stripe
charges, subscriptions
QuickBooks
invoices, payments
sync·transform·model
Your Business Model
★
Customer
unified object
name"Acme Corp"
Salesforce
arr$73,200
Stripe
balance$0.00
QuickBooks
health_score34/100
computed
Your Actions

The problem with your data stack

Your company runs on a dozen systems. Your team stitches them together with spreadsheets, Slack threads, and “can you pull that data for me?”

Today
syncFivetran↓
transformdbt↓
warehouseSnowflake↓
toolsRetool↓
writeback???
5 vendors, 5 contracts, 5 dashboards
0 shared context between them
No writeback
With Flightdeck
Connectpoint at your sources↓
ModelAI builds the ontology↓
SDKauto-generated, typed↓
ToolsAI-built from your schema↓
Writebackactions, overlays, audit
1 platform
1 typed business model
Full writeback

Connect everything. See one customer.

Your CRM says Acme 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: "Acme Corp"
arr: $73,200
tier: Enterprise
last_login: 47 days ago
sources: 3/4 matched
"I found Acme Corp in CRM, Billing, and Product. No match in Storage. Unified as Customer with 47 fields across all sources."

Your team, their way

Same business model. Same truth. Every way your team works.

A
Data Analyst
notebook — customer_analysis.py
In [1]:
customers = o.customer.list(
where={"arr": gte(100_000), "tier": "enterprise"}
)
In [2]:
for c in customers:
subs = c.related("subscriptions")
print(f"{c.name}: {len(subs)} subs, ${c.arr:,.0f} ARR")
Out[2]:
Acme Corp: 3 subs, $73,200 ARR
NovaPay: 1 sub, $120,000 ARR
Plex Retail: 2 subs, $45,000 ARR
O
Ops Lead
Flightdeck Agent
Y
Which enterprise customers have declining health scores but growing ARR?
F
I found 3 customers matching that pattern:
NovaPay—ARR up 34% but health score dropped from 78 → 34 over 90 days. Last login 47 days ago.
Brightloop—ARR up 12% but health score dropped from 91 → 67. Usage shifted from daily to weekly.
Venn Labs—ARR up 8% but health score dropped from 85 → 71. API calls down 40%.
Y
Escalate NovaPay to the CS team
F
Done. Here's what I did:
✓Set NovaPay status to "escalated"
✓Created ticket #4821 in Salesforce
✓Posted to #partner-health in Slack
E
Engineer
AI Chat
Build a partner health dashboard. Show ARR, health score, last login. Add an escalate button.

Building with your Partner type—12 fields available, using 4. Wiring escalate action.

Generating component...
Live Preview
Partner Health
Export
Name ARR Score
Acme Corp $73K
72
 Escalate
NovaPay $120K
34
 Escalate
Plex Retail $45K
89
 Escalate

The analyst, the ops lead, and the engineer are all working with the same Customer object.
Same fields. Same truth. Different interfaces.

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.

NovaPay
Partner · Enterprise
At Risk
ARR
$120,000
Health Score
34 / 100
Last Login
47 days ago
✓
Status updated
Set to "escalated" — stored as an overlay. Source data untouched.
✓
Salesforce ticket #4821 created
Assigned to CS team with full customer context attached.
✓
Slack #partner-health notified
"NovaPay escalated — ARR $120K, health score 34/100"
✓
Audit trail logged
Who, when, what changed, why. Fully reversible.

One click. Four systems. Zero context switches.

The space we occupy

Full Business Model Raw Data / Generic UI
Read Only Read + Write
Palantir
$2M+/yr
dbt + Fivetran
Retool
no data model
★
Flightdeck

Three steps to your operating system

01

Connect

Point at your databases, APIs, and warehouses. We sync the data and keep it fresh.

02

Model

AI maps your data into business objects. Customers, orders, subscriptions—whatever you have.

03

Operate

Your team gets tools, notebooks, and agents that know your business. With writeback.

Get Started