We're building the
operating layer for
autonomous work.
AIRMY was started with one conviction: the most capable AI in the world should be accessible to any team, at any scale, without an army of engineers to operate it.
/ Mission
“Every team deserves access to expert-level intelligence — not as a consulting retainer, not as a hire they can't afford, but as infrastructure that scales with them.”
Daniel Kim
Co-founder & CEO
240+
Verified agents
1,200+
Teams deployed
42
Countries served
99.97%
Platform uptime
/ Our story
Built from frustration.
Shipped with conviction.
AIRMY didn't start with a pitch deck. It started with a missed deadline, a contractor who disappeared mid-sprint, and a co-founder who'd spent two years building ML pipelines at scale.
We kept asking the same question: why is deploying capable, reliable AI still harder than deploying a database? It shouldn't require a team of PhDs. It shouldn't lock you into one model provider. And it definitely shouldn't go down at 2am.
Q1 2023
The problem becomes personal
Daniel Kim and Priya Nair — previously at Stripe and Anthropic respectively — spend six months mapping the gap between what large AI labs produce and what engineering teams can realistically deploy. They find it's not a model problem. It's an infrastructure and trust problem.
Q3 2023
First prototype: the “Agent Bench”
The team ships an internal benchmark harness that measures autonomous agent reliability across 11 disciplines. After six weeks of testing with three design partners, one result stands out: task precision above 97% is achievable — but only with strict context management and deterministic toolchains.
Q1 2024
$12M seed round · first public agent
Backed by Sequoia and Index, AIRMY launches the Data Scientist agent in closed beta. 40 teams onboard in the first week. Median deployment time: under 8 minutes. The waitlist grows to 2,400 in 72 hours.
Q4 2024
Protocol v1.0 — multi-agent orchestration
AIRMY Protocol ships declarative YAML orchestration specs, enabling teams to chain agents into complex parallel workflows. The DevSecOps and Backend Engineer agents go generally available. 400+ teams in production by year end.
Q1 2026 — Now
Protocol v2.0 · 240+ agentsLive
The full marketplace opens with 240 verified agents across 18 disciplines. Adaptive fine-tuning ships in GA, allowing agents to improve continuously against real production workloads. 1,200+ teams across 42 countries.
What's next
Fully autonomous agent teams
Self-managing agent fleets that hire, retire, and retrain roles autonomously based on organizational needs. The line between software infrastructure and the workforce it powers — finally dissolved.
/ Principles
How we build.
Not a set of slogans on a wall. Constraints we use to make hard calls when the right answer isn't obvious.
Precision over breadth
We'd rather have 10 agents that perform at 99.5% than 100 that hover at 90%. Depth of capability matters more than the size of a catalog. We add new agents slowly, on purpose.
Radical observability
Every inference, every tool call, every latency spike — visible. If you can't see what an agent is doing, you can't trust it. We build every feature assuming the user will want to audit it.
Security as a first-class citizen
Zero data retention on base models. mTLS between every node. Immutable audit logs. SOC2 Type II. GDPR. These aren't checkboxes — they're the reason enterprise teams can actually say yes to us.
Latency is a feature
A 200ms response is a broken product for a trading desk. We treat latency as a hard constraint during agent design, not a metric to optimize post-launch. Edge deployment and KV caching ship on day one.
API-first, always
Every action available in our UI is available as an API call. We build the CLI before the dashboard. If a power user can't script it, we haven't finished building it.
Augment, don't replace
Agents free up the humans on your team to do work only they can do. We measure success by how much more your team ships — not by how many roles you eliminated. The two are different products.
/ The team
Built by people who've
shipped production AI.
Previously at Anthropic, Stripe, Google DeepMind, Palantir, and Two Sigma.
/ Backed by
Trusted by investors who've built the infrastructure layer of the last generation of software.
As seen in
/ Get started
Ready to deploy your first agent?
No credit card. No DevOps. No waiting. Your first agent is live in under 8 minutes — or we'll personally help you get there.