The future of work is humans and agents operating over a shared company brain. Few operators. Hundreds of agents. 24x7 execution
Need a self-hosted or air-gapped deployment?
Deploy Workers. Measure Outcomes.
A background agent is an autonomous AI worker that executes tasks without requiring a human at the keyboard. Unlike interactive coding assistants, background agents are triggered by events, run on schedules, or coordinate in fleets.
| Dimension | Coding Assistant | Agent Factory |
|---|---|---|
| Where it runs | Your local machine | Cloud sandbox / Devbox |
| How triggered | You type a prompt | Event, schedule, or fleet |
| Scope | Depends on the engineer | Entire repos & systems |
| Developer role | Driver | Architect & reviewer |
| Availability | When you're active | 24/7 continuous |
| Tracking | Limited visibility | Per-feature execution + production tracking |
| Organization model | Human-driven tooling | AI-native operational system |
| Model strategy | Usually one model | Best model selected per task |
Multiplayer Workspace
Few humans. Hundreds of agents.
Use the best model for every task including planning, coding, reviews, testing, and handoffs, all coordinated through one shared interface across Slack, Kanban, MCPs and APIs.
Build software in batch mode.
Queue work in bulk and execute tasks asynchronously. Most frontier models are up to 50% cheaper in batch execution.
Every task is audited and remembered.
Every agent action is traced, reviewed, and stored, building a compounding knowledge layer across your team over time.



Get Started
Connect your code and data sources and let agents work inside isolated, fully secure sandboxes.
Choose from pre-built agents or define custom behaviors for your workflows.
Set automations or work items on a Kanban board, then trigger agents on schedules, GitHub events, CI failures, Slack, or webhooks.
Agents handle the mechanical work. Your team focuses on what only humans can do.
Work with our Forward Deployed Engineers to automate your company specific requirements.
Flexible Pricing
Most AI platforms charge across a moving target: model tiers, token usage, context windows, tool calls, and inference pricing. Costs become unpredictable fast, and finance teams struggle to forecast spend.
We aggregate tokens, model costs, and sandbox usage into simple credits. That's your bill. If you prefer completely predictable costs, you can also deploy XHawk privately in your own cloud with your own models.
Every agent run consumes credits from your monthly allowance, aggregated across your team for the billing period. Whether agents are working in parallel, overnight, or on demand, credits only go toward productive agent work.
In AI-native organizations, pricing should scale with autonomous work. Outcomes.
Simple pricing
Pro Plan
Enterprise Plan
Who it's for
For Founders
Build your AI workforce without scaling headcount linearly.
Give every employee an on-demand team of AI engineers, AI data analysts, and specialized agents that build products, analyze business data, automate operations, answer questions, and continuously improve your company.
For CTOs
Increase engineering velocity while keeping teams lean.
Build an AI workforce of engineers, data analysts, and specialized agents that automate testing, code reviews, documentation, reporting, research, and repetitive workflows, enabling every team to achieve more with fewer resources.
For VP Product
Accelerate product decisions with self-service AI analytics.
Give your team instant access to trusted product metrics, customer insights, and experiment results through AI Data Analysts that answer questions in plain English and eliminate reporting delays.
For VP Engineering
Track token usage, infrastructure cost, and execution efficiency per feature.
Apply the same operational discipline as cloud infrastructure to your agent fleet, with full visibility into spend and efficiency.
Deployment
Decide how to deploy for your organization based on your security and compliance needs.
Fully managed, secure and compliant. The fastest way to get started.
XHawk manages the control plane while your data stays in your infrastructure.
The full platform runs in your cloud. Your data never leaves your VPC.
The Exponential Workspace for AI-native teams
Multi-model by design
Use the best model for every task. Route work across frontier, open-source, and private models without vendor lock-in.
AI Factory, not just coding agents
Specialized agents collaborate across planning, implementation, code review, testing, security, and documentation to deliver complete outcomes.
Secure infrastructure you control
Deploy in your cloud, VPC, or on-premises environment with enterprise-grade security, auditability, and governance.
Company-wide knowledge graph
Connect code, documents, tickets, pull requests, incidents, and conversations into a unified knowledge layer for reasoning and automation.
Transparent and observable
Track every decision, action, artifact, and agent interaction with complete visibility into how work gets done.
Scale from one feature to thousands
Run parallel agents across teams, repositories, and projects to accelerate outcomes without scaling headcount.
❯ Get Started Now
Pay only when you're ready. Every feature. Every integration. $10 in credits on the house. No credit card, no sales call, no catch. When you need more, you connect a card and pay as you go.