LaunchAutomotiveAI

Galadri is the API and backend for automotive AI tool calls, database management, scheduled tasks, and call, SMS, and email workflows.

Galadri API

In your app

vehicle profile
Find a nearby oil change and book the earliest opening.

First API call in under 2 minutes • Pay as you go • No sales call required

The Stack

01 / ANY MODEL

Start with the model you already trust

Every Galadri agent runs on a frontier model of your choice: Claude, GPT, Gemini, or open-source. No lock-in, swap models anytime.

I just got a check engine light

Build anything, anywhere

Comprehensive integrations, communications channels, memory, scheduling, and visualizations built for automotive developers to make these use cases possible in minutes.

Daily route brief

Northeast field team

9 stops
Multi-stop fleet route map
Route summary
74 mi5 hr 20 min

First arrival 8:10 AM. Final drop 1:35 PM. Two weather delays flagged.

Fuel watch
Bayonne$3.18
Queens$3.25
Yonkers$3.11

Fleet management

Combine route planning, fuel pricing, summaries, and reporting in one workflow for dispatch, drivers, and ops teams.

Subject
Morning fleet digest6:12 AM
FromGaladri <g@galadri.com>
Toalex@northfieldautos.com

Alex,

TLDR: Storm window after 3 PM on the Jersey route. Fuel stop recommended for the Atlas in Bayonne. No open recalls across today's assigned vehicles.

Weather ahead

Rain after 3 PM on I-95 northbound.

68°

Vehicle status

Atlas at 31% fuel. Bayonne stop keeps the route on time. No open recalls.

More below

ETAs, service exceptions, and driver notes continue in the rest of the brief.

Automated reports

Send concise email briefings with weather, fuel, recall, and readiness context already organized for the next decision.

9:41
5G
<

Galadri

Today 9:41 AM
You drove 10,214 miles since your last oil change. Want me to book next Tuesday morning?
Yes. Before 10 AM works.
Locked in for 9:30 AM Tuesday. I'll send the confirmation and address next.
+Message

Smart follow-ups

Time- and mileage-aware follow-up across every vehicle record so the next service, reminder, or booking happens on schedule.

Inspection upload

Vehicle record

1 attachment
Uploaded tire photo for analysis
Findings

Outer tread wear detected on front passenger tire.

Replacement recommended within 500 miles.

Install options ready based on mileage and climate profile.

Record update
Saved

2023 BMW X5

Tire condition attached to the service history.

Follow-up ready

Replacement quote drafted and install reminder scheduled.

File analysis and records

Analyze uploaded photos and documents, save findings to the customer record, update the database, and trigger the next action.

Outbound call with service shop

Call transcript

2 min 14 sec

Galadri

Checking whether the Atlas is ready for pickup.

Service shop

Ready after 4:30 PM. Final paperwork already emailed.

Outcome

Ready for pickup

Confirmed for 4:30 PM and logged to the workflow.

4:30 PM

Multimodal communication

Coordinate inbound and outbound calls, text, email, and webhooks from the same agent logic and return every outcome as structured data.

Inventory feed

Featured listings

24 live
2022 BMW X5 xDrive40i

2022 BMW X5 xDrive40i

28,214 miles

$46,995View
2023 Ford Bronco Big Bend

2023 Ford Bronco Big Bend

12,008 miles

$44,280View
2024 Volkswagen Atlas SE

2024 Volkswagen Atlas SE

4,362 miles

$39,940View

Vehicle listings

Turn live inventory into cards, alerts, and merchandising surfaces with pricing, photos, and next actions ready to ship.

Start fast

The setup is short. The capability surface is not.

1

Create API key

Start in the console.

2

Create an agent

Choose a prompt and your tools.

3

POST /v1/chat

Stream actions, data, and content.

const response = await fetch("https://api.galadri.com/v1/chat", {
  method: "POST",
  headers: {
    "Authorization": "Bearer gld_your_api_key",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    agent: "my-agent",
    message: "Find an oil change under $40 near 60601",
    end_user_id: "user-123",
  }),
});

if (!response.ok || !response.body) {
  throw new Error("Request failed");
}

const reader = response.body.getReader();
const decoder = new TextDecoder();
let buffer = "";
let content = "";

while (true) {
  const { done, value } = await reader.read();
  if (done) break;

  buffer += decoder.decode(value, { stream: true });
  const lines = buffer.split("\n");
  buffer = lines.pop() || "";

  for (const line of lines) {
    if (!line.startsWith("data: ")) continue;
    const payload = line.slice(6);
    if (payload === "[DONE]") break;

    const event = JSON.parse(payload);
    if (event.type === "content") {
      content += event.content;
      console.log(content);
    }
  }
}

Go from idea to real product faster

Start self-serve and keep the heavy backend work off your roadmap.