Flamingo

Transparency First.
Trust Earned.

Traditional MSP platforms lock you in with closed systems and hidden costs. We're different.

Our SaaS solutions are built on open-source foundations-no black boxes, no vendor lock-in, no surprises. When your business depends on our platform, you deserve complete transparency in how it works.

Explore OpenFrameBetaMore About Team

What We Promise

Open by Design

All our code will be open-source. No hidden features, no vendor lock-in, no surprises.

Built with MSPs

Every feature developed with real MSP feedback. Your needs drive our roadmap.

Documented Process

From development to deployment, we document everything. Full transparency in how we build.

Enterprise-Ready Security

We create our own secure versions of OSS projects with enforced security practices for coding and authentication.

ß

Commercial Stability

Backed by serious investors as a commercial company committed to long-term support and development.

Coming Soon

Compliance Focused

SOC 2 Type II compliance coming soon. Enterprise-grade security standards.

The Problem We're Solving:

Current MSP Pain Points:

Expensive vendor licensing eating profits

Closed-source tools hiding functionality

Complex integrations requiring custom work

Limited control over critical infrastructure

Our Solution:

Open-source MSP platform that puts control back in your hands while reducing costs.

Trusted by Fortune 1000
Secured by Transparency:

The same open source technology that powers Google, Microsoft, and your bank.

Transparent Security

More eyes is better. Community catches flaws faster.

Zero backdoors possible when code is public

3x fewer zero-day exploits vs proprietary software

Immediate fixes vs hidden vulnerabilities

Enterprise Proven

78% of enterprise containers run on Kubernetes (OSS)

66% of web traffic secured by OpenSSL (OSS)

Microsoft uses open source in their own security tools

$1 trillion+ daily transactions trust open source encryption

Building in the Open

ITFlow Review for MSPs: The Free Open-Source PSA in 2026

ITFlow is a free, open-source PSA and documentation platform for MSPs. This review covers its features, pricing, self-hosting reality, support trade-offs, and who it fits.

Kristina ShkriabinaKristina
•
Read More

RustDesk Review for MSPs

An MSP-focused review of RustDesk, the open-source remote desktop tool: pricing, self-hosting, security, and whether it holds up for client-facing support at scale.

Kristina ShkriabinaKristina
•
Read More

MeshCentral Review for MSPs

A straight MeshCentral review for MSPs: the free, Apache-licensed remote access tool, what it is and is not (not a full RMM), the true self-hosting cost, and who it fits.

Kristina ShkriabinaKristina
•
Read More

Tactical RMM Review for MSPs (2026)

An independent 2026 review of Tactical RMM for MSPs: the source-available license, the real sponsorship costs behind the "free" label, the feature set, and who should self-host it versus skip it.

Kristina ShkriabinaKristina
•
Read More

Best IT Inventory Management Software in 2026: 12 Tools Practitioners Recommend

12 IT inventory management software picks for 2026, ranked from r/sysadmin and Spiceworks practitioner threads. Pricing, G2/Capterra/Trustpilot ratings, and the trade-offs nobody puts in their brochure.

Kristina ShkriabinaKristina
•
Read More

It's Already in Your Life:

Your banking app is secured by open source encryption

Your cloud storage is powered by Linux infrastructure

Your streaming service is delivered via open source CDNs

Your mobile phone is built on open source frameworks

Open source isn't experimental-it's the essential infrastructure powering the digital world. If it's secure enough for your bank, it's secure enough for your MSP.

OpenFrame Github

Perfect for MSPs who want full control and zero vendor lock-in.

AI MSP

Start with a readiness assessment, not a tool purchase. Confirm your ticket history is clean and your RMM, PSA, and monitoring systems connect. Then pick one high-volume, low-risk workflow, usually ticket triage, and pilot it on internal tickets before any client sees it.
MSPs use AI to triage and route tickets, cut alert noise, schedule patches, assist L1 security work, and draft client reports. Kaseya's 2025 benchmark found 30% already use it to eliminate tedious tasks, with ticket triage the most common starting point.
Automate high-volume, low-risk tasks first. Ticket triage and alert noise reduction top the list because they run constantly and a human still resolves the underlying issue. Save security approvals, billing changes, and client-facing actions for later, always with a human in the loop.
Most MSPs start with AI features inside their existing PSA, RMM, and ticketing systems rather than standalone products. Common categories include AI ticket triage, alert correlation, scripting assistants, and AI-native all-in-one platforms like OpenFrame that run intelligence across the whole stack.
Set a baseline before rollout, then track tickets closed per technician, mean time to resolution, percentage of tickets resolved with no human touch, technician hours reclaimed, and cost per ticket. AI-driven automation commonly cuts operational cost per ticket by 25 to 40%.

AI Safety

It can be, with governance. Keep a human in the loop on high-risk actions, log every automated step for audit, and choose platforms that keep your data yours with no vendor lock-in. Pilot on internal data first so you catch issues before client systems are involved.

MSP AI Agents

An AI agent for an MSP is software that reads a ticket, decides the action, performs it across your tools, and records the result without a technician driving each step. It differs from a chatbot or copilot by taking action, not just suggesting one.
Yes, for low-risk categories. MSPs report 10% to 25% of tickets closed without a tech opening them, covering password resets, MFA enrollment, and known installs. Anything needing judgment or touching production data still escalates to a human.

AI for MSPs

No. AI automates routine tickets, patching, and monitoring, but trust, accountability, and complex business judgment still need people. The future of managed services moves technicians from closing tickets to advising clients, which makes the human role more valuable, not obsolete.

AI Infrastructure

AI-powered infrastructure managed services apply machine learning to infrastructure telemetry so providers can predict failures, automatically remediate known issues, and forecast capacity needs. They replace static-threshold monitoring and manual firefighting with predictive, largely automated operations overseen by technicians.