Every prospect
gets an engineer.

Train Grok on your company once. Prospects chat or FaceTime a persistent AI FDE with full context and live tools.

Try the live demoDeploy yours

Chat · FaceTime · Slack · Code

Live demo

Talk to Atlas right now.

Same memory across chat and video call. Ask about Kubernetes, pricing, or security.

Atlas

Forward-Deployed Engineer · Grok FDE

Open full demo

You

We run Kubernetes on AWS. Can you sit in front of every technical evaluation?

Atlas

Yes. I'd keep your orchestration layer and put Grok FDE in front of prospects — chat and FaceTime with the same memory, plus MCP tools when you need sandboxes or cost estimates.

You

What about a live call with full context from this thread?

Atlas

Hit Call. I already know the K8s/AWS stack from chat. Tools and company docs stay available on the call.
Continue in chatStart video call

How it works

Train once. FaceTime forever.

  1. 01

    Train once

    Docs, APIs, pricing, MCP. One company model.

  2. 02

    Meet every prospect

    Chat and FaceTime share the same engineer and memory.

  3. 03

    Design and build

    Architecture, tools, safe branch and PR in their repo.

Company knowledge

Docs and MCP become a model the FDE actually uses on every call.

FaceTime the FDE

Browser video call with mic, camera, transcripts, and live tool use.

Safe implementation

Branch, validate, open a PR. Never push to main alone.

Channels

One engineer. Chat, video, Slack, code.

ChatFaceTimeEmailSlackPR