Bring frontier AI
into production,
in weeks, not Q4.

Secure agents, models, and workflows on one governed platform.

Book a demoExplore the platform →

Meet the Atlas stack.

Each layer with what runs inside, all in your boundary.

Keys in. No keys out. Every call seen.

GatewayTCP-boundary enforcement inline in your network, with allow-list egress and PII scanning.
CredentialsInjected at the gateway. Agents never hold keys.
LedgerEvery action logged independently. Your team verifies it without trusting the agent's account. SOC 2 / HIPAA-ready.
PolicyFails closed by default. Fail-open is per-flow. Your call.
Explore Atlas Sylo →

Atlas Voice

Voice agents that sound human and answer in milliseconds — support, collections, scheduling, intake, resolved on the call.

AgentNatural, multilingual live-call agents on your brand's own cloned voice, built on Atlas TTS.
BoundaryAudio never leaves your VPC.
EvidenceEvery call action recorded through Atlas Sylo, audit-ready from day one.
Explore Atlas Voice →

Atlas AI Employee

LAUNCHING SOON

The first employee the whole team hires.

AttendsJoins meetings from the calendar: Meet, Teams, Zoom.
RemembersOne org-wide memory, cited answers scoped to what each person may see.
ProducesDrafts, decks, follow-ups, updates: the work after the meeting.
Explore Atlas AI Employee →

Atlas Custom Agents

Your workflow, delivered as an agent, in weeks. For high-volume, rule-heavy work across many systems.

BuildBuilt by FDEs in your codebase, against your real workflows, on any SDK.
GuardrailsEvals and guardrails defined with your team before launch.
ProofMeasured outcomes on live traffic, with a full audit trail behind them.
Explore Atlas Custom Agents →

Atlas TTS

Your brand's voice, as an endpoint or in your VPC.

ModelA 1.7B-parameter expressive TTS model, tuned in-house. License the weights into your boundary.
LanguagesTen languages and dialects from one engine.
CloningZero-shot from ~3 seconds of audio.
120ms TTFB · H10010 languages~3s zero-shot clone
Explore Atlas TTS →

Atlas GLM Inference

LAUNCHING SOON

Frontier-class open models behind one endpoint, at lower latency and lower cost than hosted APIs.

EndpointAn OpenAI SDK drop-in. Switch without code changes.
NumbersAtlas-tuned GLM, benchmarked on your tasks. Rerun the harness yourself.
CommercialsPriced to disrupt. Competitive at fleet concurrency.
$ base_url = "https://glm.atlas.internal/v1"
Explore Atlas GLM Inference →

Production fleet management for AI agents. You pick the agent; we handle the fleet underneath.

Sandbox FleetProvision, pause, resume, teardown. Per-user machines on demand, killed when idle, state restored.
Session ContinuityAgent state survives sessions, restarts and infra changes.
Multi-Tenant StateShared knowledge, collaborative memory, per-user private state.
Frontend AdaptersOne agent, every channel: web SSE, Slack, Teams, Discord, raw API.

E2B · MODAL · DOCKER · KUBERNETES · CLAUDE SDK · OPENAI SDK · OPENCODE · PROVIDER-INDEPENDENT

Explore Atlas Runtime →

Nothing re-platforms when you move from our cloud to yours.

01 · Atlas CloudHosted and managed. An API key and a few minutes. For trials and unregulated workloads.
02 · Your Cloud (VPC)Same stack, inside your VPC: AWS, GCP or Azure. Your data never leaves your boundary.
Explore The deployment ladder →

Atlas bridges the gap between demo and production.

Isolation

Every user's agent shares one machine.

How Atlas clears it

Per-user sandboxes. Every agent runs on its own machine, fully isolated.

Memory persistence

The agent forgets everything on restart.

How Atlas clears it

State survives sessions, restarts and infra changes. Nothing forgets.

Scale

Ten users worked. Ten thousand won't.

How Atlas clears it

Fleets provisioned on demand, killed when idle, restored with state.

Channels

Rebuilt for web, again for Slack, again for API.

How Atlas clears it

One agent on every channel: web, Slack, Teams, Discord, raw API.

Economics

Idle sandboxes burn money overnight.

How Atlas clears it

Machines live only while they work. Run-rate priced to disrupt.

Security review

The CISO asks who holds the keys.

How Atlas clears it

Keys never enter the sandbox, egress is allow-listed, every action lands in an audit ledger.

Architecture

How the stack sits.

Your boundary · Atlas Cloud or your VPC

Atlas Agents

Voice
AI Employee
Custom

Atlas Models

Atlas TTS
Atlas GLM

Atlas Runtime

Sandboxes · State · Lifecycle · Channels
Your data
Atlas Sylokeys · policy · ledger
● Running
↳ outside · through Atlas Sylo only:APIs · Web · Tools · LLMs

Hosting

Two ways to run Atlas.

Atlas Cloud

Managed for you

Direct endpoints and completely managed agents. An API key and a few minutes.

Your VPC

Runs in your cloud

The same stack inside your AWS, GCP or Azure. Your data never leaves your boundary.

Customers

Top-5 media group. Autonomous ad ops across thousands of accounts.

0%

of account-manager hours freed.

ROAS, pilot avg+22%
Reporting / acct2h → 12 min
Pilot → rollout47 accts → network

In production (AWS VPC) · World's largest retailer · Customer resolution

Resolution time

18h → 30 min

Handoffs

73% fewer

Time to production

9 weeks

How we engage · Getting started with Atlas

Live in weeks. It starts with evidence, before any contract.

STEP 0 · ENTRY POINT

Egress Assessment

Evidence before any contract.

Ships

Findings on your real AI traffic, in session one.

WEEKS 1-2

Deploy the stack

The platform lands in your boundary.

Ships

The Atlas stack, in Atlas Cloud or your VPC.

WEEKS 3-6

Build the offerings

FDEs build against your real workflows.

Ships

Your chosen offerings, wired to your systems.

WEEKS 7-9

Production & proof

Live traffic, measured outcomes.

Ships

Agents in production, on live traffic.

Deep agents will run on open models, inside your boundary.

Our offerings make it true, with two fleets already running. Start with the 30-day Egress Assessment. It commits you to nothing.

Start the 30-day Egress Assessment →Talk to the team
6-9 wks
To production
6 offerings
One stack
0
Customer data leaves your network