What are the limitations of XHAWK?

Requires connecting and configuring many data sources before agents deliver value. Best suited to organizations with existing AI-native workflows; smaller teams may find it overkill. Pricing is usage-based after credits, so costs can scale with agent activity.

XHAWK

Name: XHAWK
Author: XHAWK

Your AI workforce. Always on. Autonomous.

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Screenshot of XHAWK, Your AI workforce. Always on. Autonomous

What is XHAWK?

XHAWK is an AI workforce platform that runs autonomous agents across engineering, product, and analytics, backed by a shared company brain and flexible cloud deployment.

XHAWK is an AI workforce platform that deploys autonomous agents across product, engineering, and analytics teams. Unlike coding assistants that wait for prompts, XHAWK runs a fleet of background agents that plan, execute, and verify work around the clock. The system is built on a company brain that ingests context from Slack, email, code repositories, documents, databases, and more than 100 connected apps, so every agent operates with the same shared understanding of the business. The platform targets the outer loop of software work, the tasks that happen after code is written: pull request reviews, verification gates, security scans, CI/CD, SRE triage, cost management, data analysis, customer feedback review, and backlog planning. Each agent can be scoped to specific tools and data sources, and teams can choose between pre-built agents or custom behaviors. Agents collaborate with each other in auto-pilot mode to complete long tasks, remember context between conversations, and trigger on schedules, GitHub events, CI failures, Slack messages, or webhooks. Deployment is flexible. Teams can use a fully managed cloud, a hybrid setup where XHAWK manages the control plane while data stays in the customer infrastructure, or a cloud-prem option inside their own AWS, GCP, or Azure VPC. Multi-model inference routes each task to the best model, whether frontier, open-weights, or fine-tuned, and every action is traced and audited. XHAWK fits organizations that already use AI for coding and want to extend automation to the rest of the development lifecycle and business operations. It is not a chat interface; it is an operational system for teams ready to treat AI as a system rather than a tool. Reporting and tracking are built in for CFO-level cost visibility, and the platform claims ROI in six weeks or less for teams that connect their data and configure agents.

How do you use XHAWK?

1Sign up for free
Create an account to receive $10 in credits without a credit card. The free start gives access to every feature and integration.
2Connect your data and apps
Link code repositories, Slack, email, documents, databases, and other business apps so agents have secure access to context in isolated sandboxes.
3Choose or configure agents
Select from pre-built agents for tasks like PR review, SRE triage, or data analysis, or define custom behaviors tailored to your workflows.
4Set up triggers and automations
Queue work once and let agents run on schedules, GitHub events, CI failures, Slack messages, or webhooks. Auto-pilot mode lets agents call each other for long tasks.
5Review use cases and expand
Explore additional scenarios for data, product, engineering, and executive teams to find where agents can compound value across the organization.
6Add a payment method when ready
After credits are used, connect a card to continue on a pay-as-you-go basis with full access to features and integrations.

Pros and cons

Pros

Always-on agents that work without prompting, triggered by schedules, events, or webhooks.AI
Company brain unifies context from Slack, code, docs, databases, and 100+ apps for grounded execution.AI
Multi-model routing picks the best model per task, avoiding lock-in to a single provider.AI
Deployment options include fully managed cloud, hybrid, and cloud-prem in your own VPC.AI
Built-in cost tracking and audit trails for every agent action.AI

Cons

Requires connecting and configuring many data sources before agents deliver value.AI
Best suited to organizations with existing AI-native workflows; smaller teams may find it overkill.AI
Pricing is usage-based after credits, so costs can scale with agent activity.AI
The platform's breadth means setup involves multiple steps and some technical knowledge.AI
Public information is concentrated on the homepage; detailed documentation may be limited.AI

How much does XHAWK cost?

Free trial

New users get $10 in credits to try the platform without a credit card, sales call, or commitment.

Learn more

Pricing

Starts with $10 in free credits, no credit card required. After credits, pricing is pay-as-you-go with every feature and integration included; a card is connected when more usage is needed.

Learn more

Integrations

Connects to 100+ business apps including Slack, GitHub, email, documents, databases, and more, with secure sandboxed access.

Features

Autonomous background agents for product, engineering, and analytics; a company brain that ingests context from 100+ apps; multi-model inference routing; scoped permissions per agent; scheduled and event-driven automations; auto-pilot collaboration; audit trails and cost tracking; deployment in cloud, hybrid, or cloud-prem.

Frequently asked questions about XHAWK

How much does XHAWK cost?
Starts with $10 in free credits, no credit card required. After credits, pricing is pay-as-you-go with every feature and integration included; a card is connected when more usage is needed.
Does XHAWK offer a free trial?
New users get $10 in credits to try the platform without a credit card, sales call, or commitment.
How do you use XHAWK?
The walkthrough on this page covers 6 steps: 1. Sign up for free 2. Connect your data and apps 3. Choose or configure agents 4. Set up triggers and automations 5. Review use cases and expand 6. Add a payment method when ready.
What platforms does XHAWK support?
XHAWK is available on Web App.
What does XHAWK integrate with?
Connects to 100+ business apps including Slack, GitHub, email, documents, databases, and more, with secure sandboxed access.
What are the limitations of XHAWK?
Requires connecting and configuring many data sources before agents deliver value. Best suited to organizations with existing AI-native workflows; smaller teams may find it overkill. Pricing is usage-based after credits, so costs can scale with agent activity.