HAAWKE NEURAL TECHNOLOGY

HAAWKE · PARTNERSHIPS

Partner with us

Haawke Neural Technology works with companies, studios, research groups, platforms, and institutions that need stronger provenance around AI-assisted work.

We have already built the core infrastructure needed to integrate provenance into existing products: API access, MCP connectivity, hashing, artifact registration, public verification, and model-facing provenance workflows. That means a partner does not need to rebuild a provenance system from scratch.

Our technology can be integrated directly into an existing application, embedded behind the scenes, or delivered as a white-label service under a partner’s own brand.

What we can provide

Haawke integrations can include:

The provenance layer can sit around many different models and tools. A company can continue using the AI providers it already prefers while adding Haawke as the independent recordkeeping and verification layer.

Use cases

AI platforms

An AI company may already have strong models but no durable provenance layer.

Haawke can sit between the application and the model to record:

The AI provider does not need to be replaced.

Their model stays the model. Haawke becomes the receipt.

Enterprise AI

A company using AI internally may need to answer questions months later:

Which model generated this document?
Who initiated it?
Which version was approved?
Was this file changed afterward?

Haawke can provide the provenance layer around those workflows without forcing the company into a single model vendor.

This is especially useful for organizations with internal audit, compliance, disclosure, or governance requirements.

Creative platforms

Music, image, video, writing, and design platforms can attach provenance to creative output at the moment it is produced.

A music platform could register:

A visual platform could register:

The result is not a claim that AI “authored” the work. It is a record of the process and the resulting artifacts.

Media and publishing

Publishers, newsrooms, and media organizations can use Haawke to preserve original files and production history.

For example:

reporter uploads source image
image is hashed
edited version is registered
final published artifact is registered
readers or internal staff can later verify which version is which

This can help separate content authenticity evidence from claims about whether the content itself is factually true.

Research and academic workflows

Research groups increasingly use AI for analysis, drafting, coding, and synthesis.

Haawke can preserve a record of:

Researchers can continue using ORCID or institutional identity while Haawke preserves the process record around the work.

Education

Instead of trying to detect whether AI was used after the fact, an institution could document the creation process as it happens.

A student might submit:

That creates a more useful record than a binary “AI detected / not detected” score.

Legal and compliance workflows

Haawke can support systems where document history matters.

For example:

contract draft created
AI-assisted revision generated
human counsel edits it
final version approved
each material version registered

Later, the organization can verify the exact files and timestamps associated with the workflow.

Storage providers

Object-storage companies can add provenance as a value-added layer.

A file stored through the platform can automatically receive:

This can turn commodity storage into verified storage.

We are particularly interested in partnerships where Haawke becomes the provenance layer around S3-compatible infrastructure.

Identity providers

A verified identity provider can strengthen provenance by connecting a cryptographic key to a verified human identity.

Haawke can then record:

verified identity assertion
public identity binding
artifact/process receipt
timestamp

Importantly, the identity provider can retain the sensitive KYC data while Haawke stores only the signed verification assertion and relevant cryptographic references.

AI agents and MCP ecosystems

Because Haawke supports MCP, provenance can be available directly to AI agents.

An agent can:

That makes provenance available as a native tool in an agent workflow rather than a manual step performed afterward.

White-label deployments

Haawke can also be deployed under a partner’s own brand.

A white-label implementation could include:

For example, a legal-tech company could offer:

Verified AI Drafting

while Haawke provides the hashing, registration, verification, and provenance infrastructure underneath.

A music company could offer:

Verified Creative Sessions

without exposing Haawke as the customer-facing brand.

A storage provider could offer:

Verified Object Storage

while using Haawke APIs behind the scenes.

API and MCP integration

Haawke is designed to integrate into existing systems rather than require partners to rebuild around us.

Our current infrastructure includes programmatic artifact services for:

We also have an MCP interface, allowing compatible AI systems and agents to interact with Haawke provenance services directly.

This enables workflows such as:

AI generates artifact
        ↓
Haawke API / MCP
        ↓
SHA-256 fingerprint
        ↓
provenance registration
        ↓
verification receipt
        ↓
customer application

Partners can expose as much or as little of that process to end users as they want.

Model-independent by design

Haawke is not tied to one model company.

Partners can use:

The provenance layer remains consistent even as the underlying models change.

That is important because the AI market is moving quickly.

Models will change. The record should survive the change.

Partnership scenarios

We are especially interested in conversations with:

Partnerships can range from a simple API integration to a fully white-labeled deployment.

Let’s build something together

If your company is building AI into real work, sooner or later someone will ask:

Who made this?
Which model was involved?
What changed?
When did this version exist?
Can we verify the record?

Haawke is building the infrastructure to answer those questions.

Integrations · APIs · MCP · White label · Enterprise pilots · Research partnerships

Contact Haawke