Design the organizational flow
Build Organizations, Divisions, Roles, and Flows. Then, attach the configs and grounded context each operating scope needs.
Solopreneurs, founding teams, and autonomous department heads describe visions and workflows in natural language. Hailcube coordinates vetted humans in the loop and their agents through mission-aligned Human-AI Decision Rooms and Self-running Boards and Tasks to optimize speed, cost, and quality at scale.
Operating model
Move from intent to accountable execution without losing people, context, or evidence.
Build Organizations, Divisions, Roles, and Flows. Then, attach the configs and grounded context each operating scope needs.
Organization members join AI-moderated Decision Rooms and use hierarchically scoped chats, permissions, and blast-radii to evaluate consequential choices with accountability.
Teams use self-running Boards and Tasks with worker eligibility, matching, assignment, peer review, and AI task checking and splitting.
Track Metrics, Budgets, change-management Corrections, operation lineage, AI Inferences, and systems-of-record outcomes.
Hailcube is an OS for AI-native orgs—not another PM copilot. Context-aware AI drafts high-leverage Tasks for humans in the loop and suggests vertical agents, workflow loops and graphs, prompts, and more—so people can focus on judgment, deliberation, and voting. It keeps execution in connected systems of record aligned with the organization’s vision, high-level Flows, mission, values, and principles.
One connected operating context
Each durable artifact has a clear place in the organization; reusable widgets expose the appropriate governance, collaboration, configuration, execution, and measurement jobs.
Artifacts and select widgets can be managed through permissioned APIs.
The host artifact determines which controls are available and what permissions or governance they require.
Inside Hailcube
Real product surfaces share scoped context across decisions, work, people, metrics, and history.
Vetted Human-in-the-Loop Network
Hailcube helps organizations source, vet, train, match, and coordinate the humans who work alongside agents. We:
10-part vetting and training profile
These evidence areas form a living profile; they are not treated as one simplistic, linear test.
Initial evidence establishes a candidate profile. Matching, invitations, task outcomes, peer reviews, stakeholder feedback, decision room participation, artifact maintenance, reputation, and lifelong learning keep that profile current after approval.
Combine your existing team with vetted network talent, and then control where each person can work, review, and approve.
Bring your own team
Add your local employees, place them in the relevant organizations, divisions, and flows, and grant scoped permissions for specific reviews and approvals.
U.S.-person talent
Typical rates from $100/hr. Select U.S.-person specialists when required by applicable law, contract, or access policy (useful when targeting specific U.S. markets).
Examples include certain ITAR- or export-controlled defense and sensitive-technology/IP work, specific compliance-heavy systems, federal or national-security programs, and regulated infrastructure or security functions.
Global talent
Typical rates from $25/hr. Use vetted specialists for work such as full-stack development, agentic engineering, CAD, back-office automation, and marketing or media production.
Most commercial work can draw on qualified global talent.
Eligibility and access controls must be verified for each Task or Flow node; classified work may require citizenship, security clearance, and additional authorization beyond U.S.-person status.
Worker Filters on Tasks and Flow Nodes define who is eligible before matching, so access requirements travel with the work.
Proprietary algorithms, export-controlled systems, and high-consequence deployment infrastructure or production databases. Configure Worker Filters for specific members of your organization, and then limit repository, file, and system access.
Agentic full-stack or CAD engineering and regulated software. Configure Worker Filters for vetted specialists under explicit IP-assignment and non-disclosure/non-compete terms, segmented repositories, and approved access requirements.
Agentic frontend development, scripting, open-source projects, back-office automation, and marketing or media production. Configure Worker Filters for qualified talent with scoped access.
Illustrative allocation
A company may configure Worker Filters so its restricted core work Tasks (~5% of work) stay with founders, the local team, or authorized U.S.-person specialists (if targeting specific U.S. markets); controlled product-development Tasks (~45% of work) might match vetted India- or Kenya-based engineers under explicit IP/NDA/DPA/non-compete terms and segmented repository access, referencing legal best practices used by Fortune Global companies, local PEO/EOR/COR providers, or online freelancing platforms; and modular, broadly distributable Tasks (~50% of work) may match vetted talent across English-speaking Commonwealth markets in South Asia and East/West Africa.
Enterprise and regional context: 35% of the Fortune Global 500 and 67% of the Fortune Global 30 operate capability centers in India. India, Kenya, Nigeria, Tanzania, and Uganda are U.K. Commonwealth members. Nepal and the U.K., Algeria and France/the E.U., Egypt and the U.S./U.K., and Ethiopia and Italy/the E.U. share significant ties respectively (1, 2, 3, 4). Together, these countries span 2–3B+ people, vast knowledge-worker markets, and deep pools of outlier talent. Work-allocation percentages are illustrative.
Government-ID plus professional and emergency references by default; layer on more via org-training modules when your work needs it.
Hailcube's default talent bar is government-ID verification (Didit) plus professional and emergency reference checks. That fits solopreneurs and medium-sensitivity projects that want a real-person signal without buying a separate background-check stack.
For references, each talent lists professional referees and emergency contacts. We text each contact a one-time code from our Twilio number and email a signed, time-limited form link from inbox@hailcube.ai. They open the link, enter the code, and either submit 1–5 ratings (professional reference) or simply confirm they are reachable (emergency contact)—so you get a live human signal, not a self-attested phone book entry.
If you need more—for highly sensitive, regulated, or government work—run those checks yourselves (or with a specialist) and record completion on Hailcube via org-training modules (organization-owned training/attestation records workers complete so you can treat them as trained/verified for your policies). Then filter eligible people with Worker Filters (eligibility rules on Tasks and Flow nodes that require that org-training mark before matching).
Illustrative leverage model
The AI-native organization inverts the traditional staffing pyramid: automation scales execution while human attention concentrates where skill, context, authority, and accountability matter most.
Relative widths communicate operating leverage, not promised or prescribed staffing percentages.
Transparent, usage-aligned pricing
No seat bundles or opaque subscriptions. Charges follow the people, AI, and connected systems that actually perform the work.
Vetted specialists
Pay each specialist's visible rate for tasks or reviews completed, with peer review scores factored into final pay. Hailcube's AI management fee for task decomposition, matching, coordination, quality control, and alignment is factored into the published rate.
Tracked work sessions may include periodic proof-of-work screenshots and AI-generated activity summaries. AI-assisted submission checks and peer reviews help validate progress, quality, and high-leverage AI tool use.
AI management tokens
Billed only after AI work runs, management tokens cover Task decomposition and refinement, matching, retrieval, chat and ADR summaries and interventions, Flow alignment, vetting and profile review, work-session or media analysis, etc.—including inference, orchestration, governance, and quality controls.
Eligible organizations receive $10 in AI-only starter credit.
1,000 tokens is very roughly 750 words or 1 image taken on an iPhone or Android.
To save on costs at scale, your system-of-record and codebase can leverage dedicated AI inference providers and open-source models to handle the heavy lifting (e.g., summarization, image captioning, transcription, embedding), sending/uploading only management-relevant context (text, files, images, audio, video, etc.) to Hailcube as management token input (e.g., artifact and org file/resource upserts).
Each operation uses a predefined capability—or, for video, a predefined multi-capability pipeline—then deployment configuration maps it to the selected model and provider. The allocations above are general and may vary over time or by situation as models, providers, and routing configuration evolve.
Your employees
When Hailcube coordinates work assigned to your own employees, the $5 hourly oversight charge uses the task's hours estimate (not tracked work-session time).
Contractors and organization visionaries do not incur this employee-oversight line item.
Connected context
Sync supported Google Drive, GitHub or Git, and forwarded email data—or push records through the API and upload files—without a separate Hailcube ingestion fee.
Uploading or syncing organizational context is free. Content may then be extracted, embedded, captioned, transcribed, or summarized as metered AI management usage; actual cost follows tokens and media processing, not file size. See Rates by capability and Illustrative examples in the AI management tokens column.
Grounded by your tools
Bring source material and implementation systems into the same accountable context as decisions and work.
Extend Hailcube through APIs for organization-specific integrations, with uploads for files and context.
Book a demo
Bring a vision, department, or recurring workflow. We'll explore how Hailcube could structure its artifacts, decisions, talent, execution, and feedback loop.
Open the Hailcube calendar to choose an available meeting time.
View available timesPrefer email? Contact inbox@hailcube.ai.
Start with one vision or workflow, then give people and agents the context, governance, and operating structure to execute it.