Hatz AI
Build and deploy AI agents for research, file analysis, HR, and RFP responses via natural language, with multi-LLM access in one SOC 2-compliant interface for SMBs and MSPs.
The verdict on Hatz AI: Managed service providers and agencies who want to resell branded AI assistants under their own name Hatz AI only makes sense if you're already selling services to clients and want to wrap branded AI capabilities into that offering. Pricing: Credit-based plans, tailored to company size.
Best For
Managed service providers and agencies who want to resell branded AI assistants under their own name
Standout Feature
A genuine white-label model that lets a reseller present AI capabilities without building infrastructure from scratch
TL;DR
Built specifically for agencies and resellers, not a fit if you're not already serving clients this way.
Alternatives
Fit Score: use-case reference
How this is scoredHatz AI scored 1 to 5 on five dimensions for the named use cases below. Part of our catalog-wide use-case reference, not a product-quality review rating.
A managed service provider or agency that wants to resell branded AI assistants under its own name
3.4/5- Capability
- 4/5
- Reliability
- 4/5
- Value
- 3/5
- Ease
- 3/5
- Compatibility
- 3/5
Hatz AI's genuine white-label model lets a reseller present AI capabilities without building infrastructure from scratch, which the tool's own take calls the real value proposition, not the agent features themselves.
An individual consumer or team not already operating as an agency or reseller
1.8/5- Capability
- 1/5
- Reliability
- 3/5
- Value
- 1/5
- Ease
- 3/5
- Compatibility
- 1/5
The tool's own take is explicit that if you're not already operating as an agency or reseller, this pricing and feature set aren't designed for you.
Editorial judgment grounded in this tool's own published pricing, features, and our existing pros and cons, not a certification or a measured benchmark. Product quality is assessed separately under our review methodology.
Overview
Not yet reviewedProduct quality is assessed from original evidence. How reviews work.
Hatz AI is a white-label AI platform that enables managed service providers, IT consultancies, and digital agencies to build and resell branded AI assistants and agent applications to their clients without developing AI infrastructure from scratch. The white-label model allows service providers to present AI capabilities under their own brand name, maintaining client relationships and margin structures without clients bypassing the provider to access the underlying AI directly. The platform provides the full stack of components needed for a deployable AI product: knowledge base ingestion from documents and websites, customizable chatbot interface, workflow automation tools, and client-specific configuration management.
Service providers configure each client's AI assistant with their specific business context, permissions, and integration connections, then manage multiple client deployments from a centralized dashboard. The pricing model is designed for resale: providers pay wholesale rates and mark up to clients at whatever margin fits their service model. Security and privacy controls allow data isolation between client deployments, ensuring one client's information isn't accessible to another's AI assistant.
Hatz AI targets the growing segment of MSPs and IT service providers whose clients are asking for AI capabilities they don't yet offer, providing a productized solution that delivers AI value without requiring the provider to build expertise in AI infrastructure, model selection, or application development.
The source of the legacy catalog rating and review count has not been substantiated. Neither is presented here as a verified review rating or included in review structured data.
Workflow Fit Scores are separate, use-case-specific editorial judgments, not user-review averages. Read the Fit Score methodology.
- • Great for resellers
- • White-label control
- • Security focus
- • Agency-focused (not consumer)
- • Pricing for businesses
Key Features
- White-label AI assistants
- Custom agent apps
- Client management
- Secure data handling
Trust & Data
Verified 2026-09
- Training on your data
- NoHatz AI's own privacy policy explicitly states it does not store the actual content of documents, queries, or AI interactions beyond what's needed to deliver the service, and that its third-party LLM subprocessors do not train their models on end customer data per contractual terms, a clean explicit no on training. One structural nuance: Hatz sells primarily through managed service providers reselling to end customers, so data-handling responsibility is split between Hatz and the reseller in the policy rather than resting on Hatz alone. Separately, Hatz's help center explicitly states it does not support HIPAA compliance and does not offer BAAs, instructing customers not to process protected health information on the platform, worth noting alongside its SOC 2 claims.
- Compliance
- SOC 2 Type I, SOC 2 Type II, SOC 3
- Retention
- Operational and platform metadata is retained for as long as the customer has platform access plus a reasonable period thereafter; end customer data retention is primarily governed by the reseller's or direct customer's own agreement.
- Export
- Not published
Sources: hatz.ai/privacy policy, hatz.ai/security
As published by the vendor. Verify independently before purchase decisions.
Our Take
The white-label model lets a managed service provider or IT consultancy present AI assistants under their own name without building infrastructure from scratch, which is the real value proposition, not the agent features themselves. SOC 2 compliance and multi-LLM access in one interface are genuine checkboxes for enterprise clients. If you're not already operating as an agency or reseller, this pricing and feature set aren't designed for you.