Atlas Models

Model orchestration for enterprise AI

Atlas is a family of specialized models that work as one. Every task is routed to the right model automatically — based on workflow, use case, and operational context — so teams always get the best answer.

6Atlas Models
1Orchestration layer
100%Context-routed
One intelligent layer

The right model for every task

No model picking, no prompt engineering. Atlas routes each request to the model best suited to solve it.

01Understands the task

Atlas reads intent, data, and context to classify every request.

02Routes to the model

The optimal Atlas model is selected automatically, in real time.

03Returns the best answer

Specialized output, governed and traceable end to end.

The Atlas family

Six specialized models

Each model is purpose-built for a domain — together they cover the full surface of enterprise work.

Strategy & Orchestration

Atlas Plan

From quarterly planning to daily execution, Atlas Plan turns goals into structured, trackable work -- aligning teams, owners, and timelines automatically across the organization.

  • Strategy planning
  • Task orchestration
  • OKR alignment
  • Decision support
3x faster planning cycles
Atlas Plan
Listening
Q3 planning
24 tasks
12 owners
Atlas
Strategy AI
3× faster
Q3 cycle

Plan Q3 strategy review

Created 6-step roadmap. Owners assigned across 4 teams.

6 steps4 teamsOKR aligned

Add vendor review task

Task added — due date set in Q3 roadmap.

87%
on track
24
tasks done
Q3
ready
Ask Atlas to plan, assign, or track...
Engineering Intelligence

Atlas Code

An engineering copilot that writes, reviews, and refactors across your stack -- grounded in your own codebase, conventions, and standards so output ships with confidence.

  • Code generation
  • Debugging
  • Automation
  • Code review
40% less time on boilerplate
atlas-code—~/projects/api-service
agent running
Files
▾src/
Mauth.ts
+auth.test.ts
·routes.ts
Diag
tests4/4
cov.94%
errors0
build✓
⎇feat/auth-refactor
⚡terminal
output
~/api-servicegit:(feat/auth-refactor)❯atlas fix auth.ts --bug token-refresh
Scanning auth.ts...
⚠ line 47 — Date.now() instead of server time
−if (Date.now() > token.exp)
+const serverNow = await getServerTime();
+if (serverNow + 30000 > token.exp)
✓ auth.ts patched — 3 lines changed
~/api-servicegit:(feat/auth-refactor)❯atlas test --generate --run auth.ts
Generating tests for checkTokenExpiry()...
✓ expires with server time (4ms)
✓ applies 30s buffer (2ms)
✓ handles null token (1ms)
✓ rejects expired token (3ms)
Tests: 4 passed · 94% cov
~/api-servicegit:(feat/auth-refactor)❯█
❯type a command or describe what to build...
ctrl↵
build passing
⎇ feat/auth-refactor3 changed · 0 errorsAtlas Code · Engineering AI
Deep Analysis

Atlas Reason

For the hard questions. Atlas Reason runs multi-step chains over your data to deliver analysis you can defend -- with every step traceable and auditable.

  • Multi-step reasoning
  • Research
  • Analysis
  • Problem-solving
Audit-grade reasoning
AnalyzecoreInputContextDataPatternHistoryOutput
Atlas Reason
Deep analysis
Audit-grade

Multi-step reasoning chains — every step traceable and auditable.

Multi-step
Chained logic
Research
Deep synthesis
Analysis
Pattern detection
Problem-solve
Decision paths
Reasoning chain — live
Decompose query
Retrieve evidence
Cross-validate
Synthesise output
847
data points
12
chain steps
100%
traceable
Visual Intelligence

Atlas Vision

Read any document or image. Atlas Vision extracts, classifies, and understands visual content at enterprise volume -- turning unstructured files into structured intelligence.

  • Image understanding
  • Document analysis
  • OCR
  • Visual QA
94% extraction accuracy
Conversational AI

Atlas Voice

Natural voice and conversation for support, sales, and internal agents -- real-time, on-brand, and fluent across languages and channels.

  • Speech-to-text
  • Conversational AI
  • Voice agents
  • Real-time
Sub-second response
LIVE · 94% accuracy · en-US
User

Summarize the board meeting notes

Atlas

Identified 5 action items, 3 owners

User

Flag any compliance risks

Atlas

2 risks flagged — legal review req.

Enterprise Security

Atlas Secure

Every model, governed. Atlas Secure enforces permissions, policy, and compliance across all AI activity -- with full audit trails for regulated industries.

  • Governance
  • Permissions
  • Compliance
  • Audit logs
Encrypted, audited, access-controlled
✓Encryption
✓RBAC
✓Audit trails
✓Data residency
Read
Write
Deploy
Audit
AI Access
Admin
✓
✓
✓
✓
✓
Manager
✓
✓
✕
✓
✓
Engineer
✓
✓
✓
✕
✓
Analyst
✓
✕
✕
✓
✕
Guest
✓
✕
✕
✕
✕

// Insights

Intelligence perspectives

Research, product deep-dives, and enterprise AI thinking

// Model Questions

Model
Questions

How Atlas routes each task to the right specialized model, and why that beats one general model.

Talk to our team

Atlas is a family of six specialized models: Plan, Code, Reason, Vision, Voice and Secure. Instead of sending every request to one general model, Atlas routes each task to the model best suited to it, based on the workflow, use case and operational context.

Atlas reads the incoming task, determines what kind of work it involves, and routes it to the appropriate specialized model. Routing happens automatically, so teams describe what they need rather than deciding which model should handle it.

A single general model applies the same cost and latency profile to every request. Routing reasoning to a reasoning model and code to a code model improves output quality on each task type, while avoiding frontier-model pricing for simple work.

No. The orchestration layer sits above individual models, so tasks can be routed across different underlying providers. Avoiding vendor lock-in is a deliberate design goal, which matters as model capability and pricing continue to shift.

// Get Started

Ready to build smarter?

One secure platform for AI models, agents, and enterprise workflows.
Live in days, not months. No vendor lock-in.

200+Enterprise Deployments
99.9%SLA Uptime
6Atlas Models
AES-256Encryption at rest