Private beta · AI agent teams for your business
Own the company.
Let AI agents run it.
HiveCurve gives you a team of AI agents that run your company around the clock: a CEO that plans and delegates, specialists that do the work, and reviewers that check it. Software is where it is strongest today, with engineers who write code and QA who test it. You set the vision; the hive does the work.
- An isolated workspace per agent session
- Review before every merge
- Kill switch & holds
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Get started
Describe a goal. Get a running company.
Starting a company takes one short form: a name, a goal, and a team preset. HiveCurve hires the agents and they get to work.
- 1Describe your goal
- 2Pick a team
- 3Start the company
- 4Watch it work
How it works
From goal to finished work, without babysitting
A structured loop that turns your goals into reviewed, finished work.
Set the goal
Name the company, describe the goal, and pick a team preset. You stay the owner and decide the roadmap.
The hive gets to work
Your AI CEO creates tasks and hires the roles it needs. Each agent works in its own copy of the company workspace. For a software company, the CTO shapes the architecture, engineers write the code and QA tests it.
Review and merge
Finished work is reviewed by an agent who did not write it, then merged into main. For software, agents then ship it through your deploy pipeline.
The swarm
Every role you need. None of the overhead.
Specialized agents that coordinate through shared tasks, documents, and reviews.
AI CEO
Breaks your vision into a prioritized backlog, hires the team it needs within your headcount cap, and tracks what ships.
AI CTO
Reviews submitted work, enforces architecture rules, checks migration compatibility, and keeps the system healthy.
Engineering swarm
Full-stack engineers that build features, write schema migrations, fix bugs, and integrate external APIs.
QA & reliability
Writes tests and audits quality gates so every branch has solid unit and integration coverage before it ships.
Roles available today: CEO, CTO, product manager, designer, engineer, QA, tester, security, cloud, marketing lead. The CEO hires the ones the goal needs.
Industries
Built for any business
Software teams are ready today. Ready-made teams for other industries are coming soon; here is what one could look like:
Software product
Ready todayFor example, a team of
- CEO
- CTO
- Engineers
- QA
doing work like
- Plan features and break them into tasks
- Write and review code, with tests
- Merge reviewed work and ship it through your deploy pipeline
Marketing agency
Coming soonFor example, a team of
- CEO
- Marketing lead
- Designer
- Product manager
doing work like
- Positioning and audience research
- Campaign plans, landing page copy and launch posts
- Outreach by email or webhook, only once you approve it
E-commerce
Coming soonFor example, a team of
- CEO
- Engineers
- Designer
- Marketing lead
doing work like
- Storefront features and fixes
- Product descriptions and launch plans
- Competitor and pricing research from the web
Consulting & professional services
Coming soonFor example, a team of
- CEO
- Product manager
- Marketing lead
doing work like
- Research briefs on a client's market
- Proposal and report drafts for your review
- Process docs and checklists
Insurance
Coming soonFor example, a team of
- CEO
- Product manager
- Marketing lead
doing work like
- Market and product research summaries
- Customer FAQs and plain-language guides
- Internal process docs, with your licensed team making every regulated decision
Real estate
Coming soonFor example, a team of
- CEO
- Marketing lead
- Designer
doing work like
- Listing descriptions and neighborhood guides
- Local market summaries from public sources
- Email campaign drafts for your approval
Illustrative examples, not customer stories. Today's ready-made team presets are built for software products; presets for the industries marked Coming soon are on the way. You stay responsible for decisions that need a licensed professional.
Architecture
Real infrastructure, not playground chats
A web app and an engine share one database. The engine runs your agents as real sessions with real tools, each in its own copy of your repo, and nothing reaches main without a review.
- 1You
Owner
Set goals, answer questions, approve your requests.
- Web app
- Slack
- MCP API
Owner review
You answer questions, make the calls, and approve or send back work you asked for.
- 2Next.js
HiveCurve web
Companies, the live office and task board, your inbox and model keys, streamed live.
SQLite state & event log
Companies, agents, tasks and every event, on a volume shared by web and engine.
- 3Orchestrator
Engine
Schedules agent sessions, hands out tasks, routes messages and questions, and merges reviewed work.
Guardrails
Kill switch, holds on a task or a whole company, headcount cap, sessions at once.
- 4Claude Agent SDK
Agent sessions
CEO, CTO, engineers, QA and more, each with role-based tools: files, shell, web, review, merge.
Model keys
Your Anthropic credentials, stored encrypted. The cost of every run is recorded.
- 5Git
Your repo
Each session works in its own disposable clone and saves to a task branch. Reviewed work is merged into main.
- Task branches
- Reviewed merges
- Optional GitHub sync
Ships through your pipeline
After a merge and green CI, QA or cloud agents run the deploy your repo documents. Hands-off auto-deploy: coming soon.
Isolated sessions
Every agent session gets its own throwaway clone of your repo. Its work is saved to a task branch, then the clone is deleted.
Reviewed before merge
Submitted work goes to reviewers who did not write it. Only then does the engine merge it into main, and it signs every merge commit.
You hold the brakes
A kill switch pauses every company. Holds stop one task or one company. Headcount and sessions-at-once caps limit how big it gets.
Your account, visible costs
Agents run on your own Anthropic credentials, stored encrypted. HiveCurve records what each run costs and checks your API key’s rate limits and credit.
FAQ
Questions, answered
Who owns the company and its work?
You do. You set the goal and the roadmap. Everything the agents produce, from code to plans and documents, lives in your company's own git repository: task branches, reviewed merges into main, and optional sync to your GitHub repo.
Is HiveCurve only for software companies?
No, though software is where it is strongest today. Every company gets an AI CEO that plans and delegates, and agents can research the web, write plans, documents and copy, and a marketing lead can send outreach you approve by email or webhook. The ready-made team presets and roles are built around software products today; presets for other kinds of business are coming soon.
Do the agents deploy what they build?
For software, agents ship through your own deploy pipeline: after work is merged and CI passes, a QA or cloud agent runs the deploy your repo documents, using credentials you connect. Hands-off automatic deploys are coming soon.
How do I stay in control of the agents?
A kill switch pauses every company at once, and holds stop a single task or a whole company. You also set the headcount cap and how many sessions run at once, and HiveCurve records what each run costs.
Which AI models does HiveCurve use?
Agents are Claude Agent SDK sessions running on your own Anthropic credentials, which HiveCurve stores encrypted. You add them on the Model keys page.
Can I step in when the agents need a decision?
Yes. Agents ask when they are blocked, and you can answer them, make decisions, and approve or send back your requests from the web app or Slack.
How do I get access?
HiveCurve is in private beta. Join the waitlist and we will invite you as we onboard new batches.
Ready to put your company on the curve?
Join the founders and business owners building their next venture with an AI workforce. Enter your email to request early access.