Flamingo Raises $4.5M Seed Round · Led by Vertex Ventures, bringing total funding to $6.7M to build the open-source, AI-driven OS for autonomous MSPs.
Careers
Life at Flamingo.
We're building the AI-native platform for MSPs. Agents do the boring crap. People do the judgment. Here's what that looks like day to day.
How we operate
. No fine print.
We say these out loud in standups, code reviews and offer calls. If they put you off, that is the point.
What we shipped
Every month, everyone ships.
Each person records what they shipped and why it mattered. These come straight from our internal feed.
How we work
We show our work, on video.
Real sessions: the prompts, the skills, the parts that still need babysitting, written by the person who did the work.
Wingspan
How the flock flies with Claude.
Everyone at Flamingo works with Claude every day. Wingspan is how we keep the whole team leveling up together, not only the early adopters.
- 01
Every Mac reports usage
One command connects a Mac. Sessions, tokens and active time roll up automatically.
- 02
The heaviest users mentor
Each period, the people who use Claude the most become mentors and a manager pairs each one with a mentee.
- 03
Progress is measured against yourself
We compare you with your own last period, never with your teammates.
Team totals, last 30 days
Live from People Hub
Not part of performance scoring. Wingspan exists to spread what works.
Gatherings
Remote all year. Together once a year.
Most days happen on video. Once a year the whole flock gets in one place to plan, cook and argue about the roadmap in person.
Podcast
All episodesHow Are We Building Flamingo.
Behind the scenes of building an AI-native MSP platform. Engineering decisions, strategy, and the systems behind a 15-person team shipping like 100X.
Meet the humans
people. countries.
How we hire
Bring your AI.
We hire AI-native people, so we interview the way we work. Use whatever tools you'd use on the job. We're watching your judgment, not your typing speed.
- 01
Intro call
30 minutes with the hiring manager. What you've shipped, what you want next.
- 02
Home assignment
A real problem from our backlog, on your own time. AI tools are allowed and expected.
- 03
Meet the team
The people you'd work with every day, plus a values conversation.
- 04
Offer
A straight answer either way.
Open Positions:
Didn't find the right role?
If you give a damn about open tools, fast execution, and making MSPs' lives easier - we want to hear from you.
careers@flamingo.runFrequently Asked Questions
About OpenFrame
What's included in OpenFrame? Does it integrate with my existing tools?
OpenFrame isn't built to plug into your stack. It replaces it.
Instead of duct-taping a dozen tools together (RMM, MDM, SIEM, patching, remote access, each its own login and bill), we bundle it into one unified platform: RMM, MDM, monitoring, automation, remote access, patch management, security monitoring, and ticketing, plus built-in AI copilots.
So "does it integrate with X?" usually means: you won't need X anymore.
How is OpenFrame different from other vendors?
Most platforms give you one piece and expect you to bolt the rest on. OpenFrame unifies the whole stack in one place, with AI copilots built in. Fewer logins, fewer bills, less duct tape.
Where is my data hosted?
In the cloud, on US soil. Your data stays stateside.
Is OpenFrame for MSPs or MSSPs?
Both. It's built for MSPs and MSSPs alike.
MSP AI Agents
Can AI Agents Really Close Tickets Without a Technician?
Yes. In production MSP shops today, 10% to 25% of tickets close before a human opens them. Thread alone has processed 173 million tickets across 750-plus MSP partners at 96% triage accuracy, handing back 490,000-plus technician hours. Agents own the low-risk, high-volume work (password resets, MFA enrollment, known installs, onboarding and offboarding) and flag anything that touches production data or needs judgment for a human to take.
How Much Can AI Agents Save an MSP?
On a five-person desk, reported deployments show $78,000 to $130,000 in annual direct labor savings, roughly 30% fewer escalations, and 15% to 20% better SLA compliance. Broader MSP adoption data adds ticket handling time cut by 45% and five to 12 points of margin, all from reclaimed capacity rather than headcount cuts.