Onboard your entire GTM team toGet ReferralsCreate BacklinksCurate ContentMake CallsSend DMsTrack DealsBuild CRM - all on autopilot.
Running production agents at
One prompt to deploy
your GTM team.
Describe how you find leads in plain language. Hive spawns a real browser, works the pages the way you would.
Start from an agent that already works.
ICP Discovery
Scan your LinkedIn connections and our offering to define your ideal customer profile - firmographics, technographics, and behavioral signals in one document.
Market Mapping
Build a TAM/SAM/SOM map for your vertical from news, LinkedIn, and hiring signals - market size, growth rate, competitive density, and wedge opportunities.
Competitor Intelligence
Track competitors’ sites, pricing, blogs, hiring, and founders’ activity. Get a weekly digest of what changed and what it means for your positioning.
ICP List Building
Turn your ICP into a live prospect list from LinkedIn - names, emails, titles, technographics, and buying signals, at least 10 contacts to start.
Signal Scraping
Scan the web for intent signals on each prospect - posts, threads, reviews, forums - and flag conversations where they’re complaining about a problem you solve.
Drip Email Campaign
Draft a personalized 5-email sequence over 30 days for every prospect - optimized titles, your Calendly CTA and signature - saved as drafts for your approval.
A productivity colony,
not a chatbot.
Hire a team,
not a workflow.
Every colony has a queen and up to dozens of workers. Workers have roles, skills, tools, and a scope. Hire, promote, and fire them as your operation scales.
Every call. Every token.
Every dollar.
Workers run in the open. Replay any step. Diff any decision. Cap cost at the colony, queen, or task level. Hard stops, not soft warnings.
Silicon, sized
for swarms.
Every Worker runs in a Hive cell - custom orchestration on KVM/Firecracker with pinned CPU and memory, sub-second cold-starts, and warm-pool scheduling. Cheap work runs on cheap silicon, frontier work gets the GPU pool. That's how the swarm stays cost-efficient and reliable enough to run unattended.
Fresh from the
OpenHive newsroom.
Every company we onboard gets its own coverage - press releases and spotlight articles the queens write from what's happening on your site, then publish to earn authority and backlinks.
After SaaS, the era of AaaS begins
An in‑depth analysis of the transition from Software as a Service (SaaS) to Agents as a Service (AaaS), highlighting technical breakthroughs, economic impact, and future outlook.
Read →BLOGService Level Agreements (SLAs) for Stochastic Software: How to Promise 99.9% SLA Uptime on Probabilistic Models
A deep‑dive technical article redefining Service Level Agreements for probabilistic AI, proposing Synthetic SLAs to guarantee outcome reliability and 99.9% uptime.
Read →BLOGRate Limits, Throttling, and Retries: The "Boring" Stuff That Kills AI Apps
An in‑depth look at why rate limits, throttling, and retries are critical for AI applications and how to build resilient architectures.
Read →BLOGBeyond Directed Acyclic Graphs: Why Dynamic Topology is the Future of Multi-Agent Systems
A deep dive into why static Directed Acyclic Graphs limit multi‑agent AI systems and how dynamic topology, graph rewriting, blackboard patterns, and choreography unlock adaptive, resilient architectures.
Read →