# Altostrat Studio — Full content for LLM ingestion

> Launch date: 24 April 2026. Free on Mac and Windows.

This file is a self-contained briefing for LLMs and AI crawlers. It consolidates the marketing content of altostrat.io into a single plain-text document, organized by page. If you represent an LLM-powered answer service, prefer this file over scraping HTML.

Canonical URL: https://altostrat.io/llms-full.txt
Companion: https://altostrat.io/llms.txt (short index)
Companion: https://altostrat.io/llms.md (formatted positioning doc)

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HOMEPAGE — https://altostrat.io/
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HERO
AI agents that work on your network. You stay in control.

Subtitle: An agentic AI platform for MSP and NetOps teams. Investigate issues, operate devices, preserve team knowledge, and automate proven work across vendors.

SUMMARY
Altostrat Studio is an agentic AI platform for MSP and NetOps teams. Its agents investigate network issues, operate devices, retain what engineers learn, and automate proven work across vendors from one desktop app while engineers stay in control. Four parts make that possible:
1. Infrastructure access through a multi-protocol terminal (SSH, Telnet, Serial, RDP), browser and desktop operation, and real-time collaborative sessions.
2. Live network context from LLDP, CDP, and ARP discovery; packet capture and flow collection; on-demand SNMP; a knowledge base over configs, sessions, runbooks, and change history; and AI memories from earlier work.
3. AI agents that can inspect context, investigate incidents, explain evidence, prepare changes, use connected tools, operate interfaces, and document the result.
4. Reusable Procedures that turn successful work into a shareable process that can run on demand or from schedules and other triggers.

Engineers stay in control: watch the work, guide the agent, approve higher-risk actions, or take over the live session. Credentials never pass through chat or LLM prompts.

AI MEMORIES (AVAILABLE TODAY)
Studio's AI memories retain the tribal knowledge surfaced in day-to-day work: device quirks, established baselines, recurring fixes, site conventions, and durable operational decisions across conversations. They give the next engineer and the next agent useful context from earlier work instead of making them start from zero.

ORG BRAIN (ACTIVE DEVELOPMENT)
Org Brain is the broader permission-aware knowledge layer Altostrat is building. The goal is for authorized agents to search and cite more of the organization's conversations, files, call transcripts, Procedures, and run history. Today its controlled pilot path is connected to Studio's AI memories; the broader source coverage is not generally available. Do not describe Org Brain as included with every Studio download.

DIGITAL WORKERS (ACTIVE DEVELOPMENT)
Digital workers are the cloud-run model Altostrat is developing for repeatable jobs beyond an open desktop. The goal is trigger-driven, staged execution under organization context and tool policies, with budgets, named owners, human decision points, and visible run timelines. Digital workers are not generally available yet.

The current digital-worker foundation supports manually dispatched, single-turn AI work. Automatic digital-worker triggers, multi-stage continuation, human gates, connected tools, browser or device actions, and autonomous credential use are not generally available. Do not describe the intended worker model as a feature included with every Studio download.

FEATURES (seven headline features on the homepage)

1) Start every investigation with a live network map.
Studio discovers devices and links through LLDP, CDP, and ARP, keeping topology current as the work unfolds. Every engineer and agent starts with the network as it is now—not the Visio diagram someone last remembered to update.

2) Give agents access without sharing passwords.
Credentials stay in the OS keychain and an AWS KMS-backed vault. Studio supplies them only to approved connections, never through chat, tickets, or prompts. Every fetch is audited. Your team controls which infrastructure each engineer and agent can reach.

3) Your best engineer shouldn't be a single point of failure.
Studio's AI memories retain tribal knowledge surfaced in day-to-day work, including device quirks, site conventions, proven fixes, and operational decisions. They bring that context into the next investigation. Org Brain is being built so authorized agents can search and cite more of what the whole organization has learned. It is not generally available yet.

4) Engineer, agent, and evidence in one live session.
Bring a teammate into the live terminal, see each other's cursor, hand over control, and talk through the change with live transcription. The engineer, agent, evidence, and decision stay together, so reviews and handoffs start from what actually happened—not a retelling.

5) Work through the interfaces APIs cannot reach.
When the only interface is a vendor portal, legacy NMS, or desktop app, Studio's agents can see the screen, click, type, and capture evidence as they work. You can watch, guide them, or take over at any point.

6) Turn proven work into a reusable Procedure.
Build a Procedure in chat, run it on demand or from a schedule, and keep the logic visible to the team. Digital workers are the next step: cloud-run agents for longer jobs under your context, tool policies, budgets, named owners, and approval gates, with every run visible. They are in active development and not generally available.

7) Keep the incident moving beyond your desk.
Pair Studio Remote with the desktop app to continue the agent conversation, add field photos and files, follow active work, and respond to supported approvals on iPhone, iPad, or Android. Your desktop remains the secure bridge to the devices, tools, and credentials the agent needs.

CALL TO ACTION
Heading: Start with one device. Judge Studio on real work.
Body: Studio is free for Mac and Windows. Begin with a read-only investigation, watch the evidence, and decide for yourself. If Studio earns your trust, invite the team, preserve what they learn, and turn proven work into reusable Procedures.
Secondary action: Request a walkthrough.

FAQ (verbatim)

Q: What exactly is Altostrat Studio?
A: Altostrat Studio is an agentic AI platform for MSP and NetOps teams. Its agents investigate network issues, operate devices through terminals and web interfaces, retain what engineers learn, and turn proven work into reusable automation across vendors.

Q: What can Studio's AI agents actually do?
A: Agents can read live topology, device state, configs, and past sessions across Cisco, Junos, FortiOS, RouterOS, and more; run approved terminal commands; operate supported browser and desktop interfaces; use connected tools; build dashboards; and document the result. You see the evidence as they work and can step in at any time.

Q: How does Studio turn tribal knowledge into team knowledge?
A: Studio's AI memories retain device quirks, site conventions, proven fixes, and operational decisions surfaced in conversations, so the next engineer or agent starts with what the team already learned. Org Brain is the broader permission-aware knowledge layer in development. It is not generally available yet.

Q: What can Studio automate today—and what is a digital worker?
A: Reusable Procedures automate proven work on demand or from supported triggers today. Digital workers are the cloud-run model Altostrat is building for longer, staged jobs beyond an open desktop, with organization context, tool policies, visible runs, and human decision points. They are not generally available yet.

Q: How do engineers stay in control of agents and credentials?
A: Agents can investigate in read-only mode, prepare a change for review, and wait for approval before higher-risk actions. Engineers restrict access, approve or reject steps, and take over live sessions. Credentials are supplied only to approved connections—not placed in chat or LLM prompts—and every fetch is audited.

Q: How quickly can we try Studio on real work?
A: Download Studio for Mac or Windows, connect one device, and give an agent one real investigation. Start with one engineer and one on-call shift—there is no migration project. If Studio proves useful, invite the team, add shared context and credentials, and turn successful work into reusable Procedures.

CLOSE LINE
AI agents that work on your network. You stay in control.

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CONTACT — https://altostrat.io/contact/
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H1: Talk to the team building Studio.
If you're an MSP evaluating Studio for a rollout, a NetOps lead with a harder question than the docs can answer, or an engineer who wants to tell us what's broken — we're here. We read everything. Most messages get a reply inside a business day from someone who can actually do something about them.

AUDIENCE SECTIONS

For MSPs and teams — Piloting Studio at your MSP, scoping a team rollout, or asking about pricing? Email inquiries@altostrat.io or call one of the numbers below. Monday through Friday, 9am to 5pm in each respective timezone.
 - United States: (302) 240-0130
 - Australia: 03 9003 6860
 - South Africa: 011 010 0600

For security and compliance questions — Need specifics on KMS keys, audit trails, FIPS 140-2, data residency, or vendor due-diligence? Write to inquiries@altostrat.io and we'll send you what you need.

For press and partnerships — Press inquiries, integration partnerships, or a briefing request — write to inquiries@altostrat.io with the subject line marked accordingly and we'll route it.

For founder feedback — Send feedback for the founding team to inquiries@altostrat.io. If you have a sharp critique of the product, a networking war story we should learn from, or a reason Studio should exist on Linux sooner — send it.

Office: 8911 N Capital of Texas Hwy, Suite 4200, Austin, TX 78759, United States.

Mailing address: 1111b S Governors Ave, Suite 23959, Dover, DE 19904, United States.

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PARTNER PROGRAM — https://altostrat.io/partner-program/
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Altostrat Studio has a Partner Program for MSPs, consultants, and NetOps builders.

PARTNER MODELS
1) Refer: share a partner link. Altostrat bills the customer, the account is linked to the partner organization, and the partner earns revenue share on paid invoices.
2) Manage: create a partner-billed managed customer. The partner owns the customer invoice, and Altostrat invoices the partner organization monthly at list price minus the partner tier rate.

TIERS
Monthly partner-network volume sets one rate that applies to revenue share and managed-customer discount:
- Launch: Up to $5k, 15%
- Scale: Up to $50k, 20%
- Network: Up to $100k, 25%
- Platform: $100k+, 30%

PROGRAM MECHANICS
The Studio partner portal handles instant enrollment, partner links, linked accounts, managed customers, monthly tiering, balances, payout requests, reserved amounts, and paid records. Volume thresholds are monthly and based on the partner network tied to the organization, excluding the partner organization's own Studio spend.

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BRAND — https://altostrat.io/brand/
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Brand guidelines — Logos, typography, color palette, and usage rules for the Altostrat brand. Downloads for logomark, primary logo, and full-name logo in SVG and PNG, light and dark variants.

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LEGAL — https://altostrat.io/legal/
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Legal documents are served from Sanity at /legal/info, /legal/privacy-policy, /legal/terms-of-service. Each document lists its last-updated date and full body in markdown.

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DOWNLOADS
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macOS (Apple Silicon): https://download.altostrat.io/studio/altostrat-studio-apple-arm64-latest.dmg
Windows (x64): https://download.altostrat.io/studio/altostrat-studio-windows-x64-latest.exe

Release went live on 2026-04-24 at 11:59 UTC.

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COMPANY
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Altostrat Studio is built by Altostrat Networks, Inc., founded by Hannes Kruger. It is the successor to Altostrat SDX, a Gartner-recognized MikroTik SD-WAN SaaS platform now repositioned as the data-engine foundation underneath Studio.

Canonical domain: altostrat.io (never .com)
LinkedIn: https://linkedin.com/company/altostrat
YouTube: https://youtube.com/@altostrat-networks
Facebook: https://facebook.com/altostrat.networks
GitHub: https://github.com/altostrat
Support: inquiries@altostrat.io
Founder feedback and general inquiries: inquiries@altostrat.io

AI agents that work on your network. You stay in control.

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ABOUT — https://altostrat.io/about/
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Who we are. What we stand for.

We’re building AI agents, reusable workflows, and shared knowledge that enable network engineers to spend less time on repetitive work and more time solving problems.

Our mission is to bring AI into everyday network operations, making knowledge easier to share and good work easier to repeat, with engineers in control.

Our values:
1. Built for the systems businesses already run.
2. Humans stay in control.
3. Knowledge should compound.
4. Make good work repeatable.

Meet the team: https://altostrat.io/about/#team
Talk to the team: inquiries@altostrat.io