Innovius Open License v1.0

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The full license text

Innovius Open License v1.0

===========================================================================
DESIGNATIONS — values for the variables used in the terms below.
To reuse this License for another work, replace only this block.
===========================================================================

<WORK>              = ShinrAI PII models
<LICENSOR>          = Innovius — Innovius UG (haftungsbeschränkt),
                      Germany, including its legal successors — and
                      EECC Research Labs — European EPC Competence
                      Center GmbH, https://eecc.info.
                      Each may grant this License and commercial
                      licenses for the Work.
<CONTACT>           = licensing@innovius.ai
<ATTRIBUTION-NAME>  = ShinrAI
<DERIVATIVE-PREFIX> = shinrai-
<THRESHOLD-AMOUNT>  = 10 million United States dollars ($10,000,000)
<CONVERSION-DATE>   = 1 September 2028 (the Work then becomes
                      Apache License 2.0)

===========================================================================

The Innovius Open License v1.0 is an open-weights license inspired by the
Apache License 2.0, extended with: exemptions for public bodies and
educational institutions (Sections 1 and 5), a revenue threshold for
commercial use (Section 5), an attribution requirement (Section 6), an
explicit fine-tuning clause (Section 7), use restrictions and output
ownership (Section 8), automatic conversion to Apache 2.0 (Section 9), a
cure period (Section 15), and German governing law (Section 16).

This License text is generic and reusable by any licensor. The parameters
that bind it to a specific work are set in the Designations block above;
the terms below refer to that block.

TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION

1. Definitions.

"License" shall mean the terms and conditions for use, reproduction, and
distribution as defined by this document.

"Designations" shall mean the variable-assignment block at the head of this
License document. Wherever these terms use a variable in angle brackets —
<WORK>, <LICENSOR>, <CONTACT>, <ATTRIBUTION-NAME>, <DERIVATIVE-PREFIX>,
<THRESHOLD-AMOUNT>, <CONVERSION-DATE> — it takes the value assigned to that
variable in the Designations.

"Licensor" shall mean the copyright owner, or an entity authorized by the
copyright owner, that is granting the License, as named in <LICENSOR>. A
Work may have more than one Licensor, each entitled to grant this License
and commercial licenses for the Work.

"Legal Entity" shall mean the union of the acting entity and all other entities
that control, are controlled by, or are under common control with that entity.
For the purposes of this definition, "control" means (i) the power, direct or
indirect, to cause the direction or management of such entity, whether by
contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the
outstanding shares, or (iii) beneficial ownership of such entity.

"You" (or "Your") shall mean an individual or Legal Entity exercising
permissions granted by this License.

"Source" form shall mean the preferred form for making modifications, including
but not limited to software source code, documentation source, and configuration
files.

"Object" form shall mean any form resulting from mechanical transformation or
translation of a Source form, including but not limited to compiled object code,
generated documentation, and conversions to other media types.

"Work" shall mean the work of authorship, whether in Source or Object form, made
available under the License, as indicated by a copyright notice that is included
in or attached to the work. For machine-learning artifacts, the Work includes
the model weights and parameters, model configuration, tokenizer files, label
and calibration files, and converted or quantized forms of the same model.

"Derivative Works" shall mean any work, whether in Source or Object form, that
is based on (or derived from) the Work and for which the editorial revisions,
annotations, elaborations, or other modifications represent, as a whole, an
original work of authorship. For machine-learning artifacts, Derivative Works
include, without limitation, fine-tuned, further trained, distilled, quantized,
pruned, merged, or otherwise adapted versions of the Work, and any model that
incorporates the Work's parameters in whole or in part. For the purposes of
this License, Derivative Works shall not include works that remain separable
from, or merely link (or bind by name) to the interfaces of, the Work and
Derivative Works thereof.

"Outputs" shall mean content generated by operating the Work or a Derivative
Work, including detected entity spans, labels, attributes, confidence scores,
and redacted, anonymized, or pseudonymized text produced from Your data.

"Contribution" shall mean any work of authorship, including the original
version of the Work and any modifications or additions to that Work or
Derivative Works thereof, that is intentionally submitted to Licensor for
inclusion in the Work by the copyright owner or by an individual or Legal
Entity authorized to submit on behalf of the copyright owner. For the purposes
of this definition, "submitted" means any form of electronic, verbal, or
written communication sent to the Licensor or its representatives, including
but not limited to communication on electronic mailing lists, source code
control systems, and issue tracking systems that are managed by, or on behalf
of, the Licensor for the purpose of discussing and improving the Work, but
excluding communication that is conspicuously marked or otherwise designated
in writing by the copyright owner as "Not a Contribution."

"Contributor" shall mean Licensor and any individual or Legal Entity on behalf
of whom a Contribution has been received by Licensor and subsequently
incorporated within the Work.

"Commercial Use" shall mean any use of the Work for direct or indirect
commercial advantage or monetary compensation.

"Public Body" shall mean a state, a subdivision of a state, or a body governed
by public law, acting in its public function. Public Bodies include, for
example: federal and state ministries; government agencies and authorities;
municipalities, cities, and their administrations; courts; police and public
prosecution services; public hospitals; and international governmental
organizations. A Legal Entity that is owned or partly owned by a state but
participates in commercial markets — for example a state-owned railway,
postal, logistics, broadcasting, energy, or telecommunications enterprise —
is NOT a Public Body for the purposes of this License and is subject to the
Threshold.

"Educational Institution" shall mean an institution whose primary purpose is
education, childcare, or non-commercial research, whether public or private.
Educational Institutions include, for example: schools of every kind;
universities and universities of applied sciences; kindergartens, preschools,
and daycare facilities; child and youth clubs; vocational schools; adult
education centers; public libraries; museums; and research institutes. A
Legal Entity whose business is selling products or services TO the education
sector is not itself an Educational Institution and is subject to the
Threshold.

"Exempt Entity" shall mean a Public Body or an Educational Institution.

"Qualified Non-Profit Organization" shall mean a Legal Entity that is organized
and operated exclusively for religious, charitable, scientific, testing for
public safety, literary, or educational purposes, and which is exempt from
taxation as a charitable organization in its jurisdiction, including
organizations exempt under Section 501(c)(3) of the United States Internal
Revenue Code of 1986, as amended, and gemeinnützige organizations under German
law.

"Non-Commercial or Research Purposes" shall mean purposes that do not involve
any use of the Work or a Derivative Work for Commercial Use, including
research, benchmarking, evaluation, teaching, and personal use.

"Competing Model" shall mean a machine-learning model, other than a Derivative
Work licensed under this License, whose primary purpose is the detection,
classification, anonymization, pseudonymization, redaction, or
de-identification of personal or sensitive information.

"Threshold" shall mean annual revenue of <THRESHOLD-AMOUNT> (if none is
assigned: ten million United States dollars ($10,000,000)) or more, measured
across Your entire Legal Entity in the most recently completed fiscal year.

2. Grant of Copyright License. Subject to the terms and conditions of this
License, including the Commercial Use limitation set forth in Section 5, each
Contributor hereby grants to You a perpetual, worldwide, non-exclusive,
no-charge, royalty-free, irrevocable copyright license to reproduce, prepare
Derivative Works of, publicly display, publicly perform, sublicense, and
distribute the Work and such Derivative Works in Source or Object form.

3. Grant of Patent License. Subject to the terms and conditions of this
License, including the Commercial Use limitation set forth in Section 5, each
Contributor hereby grants to You a perpetual, worldwide, non-exclusive,
no-charge, royalty-free, irrevocable (except as stated in this section) patent
license to make, have made, use, offer to sell, sell, import, and otherwise
transfer the Work, where such license applies only to those patent claims
licensable by such Contributor that are necessarily infringed by their
Contribution(s) alone or by combination of their Contribution(s) with the Work
to which such Contribution(s) was submitted. If You institute patent litigation
against any entity (including a cross-claim or counterclaim in a lawsuit)
alleging that the Work or a Contribution incorporated within the Work
constitutes direct or contributory patent infringement, then any patent
licenses granted to You under this License for that Work shall terminate as of
the date such litigation is filed.

4. Redistribution. You may reproduce and distribute copies of the Work or
Derivative Works thereof in any medium, with or without modifications, and in
Source or Object form, provided that You meet the following conditions:

(a) You must give any other recipients of the Work or Derivative Works a copy
of this License; and

(b) You must cause any modified files to carry prominent notices stating that
You changed the files; and

(c) You must retain, in the Source form of any Derivative Works that You
distribute, all copyright, patent, trademark, and attribution notices from the
Source form of the Work, excluding those notices that do not pertain to any
part of the Derivative Works; and

(d) If the Work includes a "NOTICE" text file as part of its distribution, then
any Derivative Works that You distribute must include a readable copy of the
attribution notices contained within such NOTICE file, excluding those notices
that do not pertain to any part of the Derivative Works, in at least one of the
following places: within a NOTICE text file distributed as part of the
Derivative Works; within the Source form or documentation, if provided along
with the Derivative Works; or, within a display generated by the Derivative
Works, if and wherever such third-party notices normally appear. The contents
of the NOTICE file are for informational purposes only and do not modify the
License. You may add Your own attribution notices within Derivative Works that
You distribute, alongside or as an addendum to the NOTICE text from the Work,
provided that such additional attribution notices cannot be construed as
modifying the License.

You may add Your own copyright statement to Your modifications and may provide
additional or different license terms and conditions for use, reproduction, or
distribution of Your modifications, or for any such Derivative Works as a
whole, provided that (i) Your use, reproduction, and distribution of the Work
otherwise complies with the conditions stated in this License, and (ii)
Sections 5, 6, 7, and 8 of this License continue to apply to the Work and to
all Derivative Works notwithstanding any such additional or different terms.

5. Commercial Use Limitation.

(a) The rights granted under this License for Commercial Use are conditioned
upon You or Your Legal Entity not exceeding the Threshold.

(b) Any Commercial Use of the Work or a Derivative Work by a Legal Entity that
exceeds the Threshold is not licensed under this Agreement. Such an entity may
obtain a commercial license from the Licensor via <CONTACT>.

(c) The Threshold shall not apply to:

    (i)  an Exempt Entity's use of the Work or a Derivative Work for its
         public or educational function. This exemption is unconditional: it
         covers production use at any scale and is not limited to research.
         For example, a ministry of education may use the Work to protect
         personal data in citizen inquiries, and a kindergarten may use it in
         its parent communication, each without any fee or revenue limit.

    (ii) a Qualified Non-Profit Organization's use of the Work or a Derivative
         Work for Non-Commercial or Research Purposes.

For clarity: a state-owned or partly state-owned enterprise engaged in
commercial market activity (for example a railway, postal, or
telecommunications company) is not an Exempt Entity under (i); it is subject
to the Threshold like any other commercial Legal Entity.

(d) If You exceed the Threshold for the first time, Your license for Commercial
Use continues for a cure period of ninety (90) days from the end of the fiscal
year in which You exceeded it. Before the cure period ends, You must either
obtain a commercial license from the Licensor or cease Commercial Use of the
Work and all Derivative Works.

6. Attribution.

(a) If You use the Work or a Derivative Work in a product, service, or other
offering made available to third parties, You must display
"Built with <ATTRIBUTION-NAME>" prominently in that offering's user
interface, documentation, or public description (for example on its website
or in an about page).

(b) You must retain the NOTICE file attribution as set forth in Section 4(d).

(c) If You distribute or make available a Derivative Work that is itself a
machine-learning model, its name must begin with <DERIVATIVE-PREFIX>.

Internal use that is not made available to third parties requires no public
display under (a); Sections 4(c) and 4(d) still apply to any distribution.

7. Fine-Tuning and Derivative Works.

(a) You may fine-tune, further train, distill, quantize, adapt, and otherwise
create Derivative Works of the Work without restriction beyond this License.

(b) You have NO obligation to publish, disclose, or share any Derivative Work.
Private Derivative Works are expressly permitted.

(c) Every Derivative Work remains subject to this License in full, including
the Commercial Use limitation (Section 5), Attribution (Section 6), and Use
Restrictions (Section 8). Creating a Derivative Work does not reset, remove,
or weaken any term of this License.

8. Use Restrictions and Outputs.

(a) You may not use the Work, a Derivative Work, or Outputs to train, fine-tune,
or otherwise improve a Competing Model. Derivative Works created and used under
this License are not Competing Models.

(b) Benchmarking and evaluation of the Work, and publication of benchmark or
evaluation results, are expressly permitted and are not Commercial Use.

(c) The Licensor claims no rights in Outputs. You own Your Outputs and may use
them for any purpose, subject only to Section 8(a).

9. Conversion to Apache 2.0. Effective on <CONVERSION-DATE> — which shall be
no later than twenty-four (24) months after the Work's first public
release — the Work is automatically and irrevocably relicensed under the
Apache License, Version 2.0 (https://www.apache.org/licenses/LICENSE-2.0).
From that date, Sections 5 through 8 of this License cease to apply to the
Work. If no value is assigned to <CONVERSION-DATE>, the conversion date is
twenty-four (24) months after the Work's first public release. Each work
released under this License carries its own conversion date; a later
release converts on its own, later date.

10. Submission of Contributions. Unless You explicitly state otherwise, any
Contribution intentionally submitted for inclusion in the Work by You to the
Licensor shall be under the terms and conditions of this License, without any
additional terms or conditions. Notwithstanding the above, nothing herein shall
supersede or modify the terms of any separate license agreement you may have
executed with Licensor regarding such Contributions.

11. Trademarks. This License does not grant permission to use the trade names,
trademarks, service marks, or product names of the Licensor, except for the
reasonable and customary use in describing the origin of the Work, reproducing
the content of the NOTICE file, and the attribution required by Section 6.

12. Disclaimer of Warranty. Unless required by applicable law or agreed to in
writing, Licensor provides the Work (and each Contributor provides its
Contributions) on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied, including, without limitation, any warranties
or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
PARTICULAR PURPOSE. You are solely responsible for determining the
appropriateness of using or redistributing the Work and assume any risks
associated with Your exercise of permissions under this License. Where the
Work performs statistical detection of personal information, it can miss
entities or mark false positives; You remain responsible for Your own
compliance with data-protection law.

13. Limitation of Liability. In no event and under no legal theory, whether in
tort (including negligence), contract, or otherwise, unless required by
applicable law (such as deliberate and grossly negligent acts) or agreed to in
writing, shall any Contributor be liable to You for damages, including any
direct, indirect, special, incidental, or consequential damages of any
character arising as a result of this License or out of the use or inability
to use the Work (including but not limited to damages for loss of goodwill,
work stoppage, computer failure or malfunction, or any and all other
commercial damages or losses), even if such Contributor has been advised of
the possibility of such damages.

14. Accepting Warranty or Additional Liability. While redistributing the Work
or Derivative Works thereof, You may choose to offer, and charge a fee for,
acceptance of support, warranty, indemnity, or other liability obligations
and/or rights consistent with this License. However, in accepting such
obligations, You may act only on Your own behalf and on Your sole
responsibility, not on behalf of any other Contributor, and only if You agree
to indemnify, defend, and hold each Contributor harmless for any liability
incurred by, or claims asserted against, such Contributor by reason of your
accepting any such warranty or additional liability.

15. Termination. This License will terminate automatically and immediately if
You fail to comply with any of its terms and conditions, except that a first
crossing of the Threshold is governed by the cure period in Section 5(d). Upon
termination, You must cease all use of the Work and any Derivative Works and
delete all copies in Your possession. Sections 8(c), 12, 13, and 16 survive
termination.

16. Governing Law. This License is governed by the laws of the Federal
Republic of Germany, excluding its conflict-of-law rules and the United
Nations Convention on Contracts for the International Sale of Goods (CISG).

END OF TERMS AND CONDITIONS

APPENDIX: How to apply the Innovius Open License v1.0 to your work

Copy this document and assign new values to the variables in the
DESIGNATIONS block at the top — <WORK>, <LICENSOR> (full legal name; you may
add "including its legal successors" and may name more than one licensor),
<CONTACT>, <ATTRIBUTION-NAME>, <DERIVATIVE-PREFIX>, <THRESHOLD-AMOUNT>, and
<CONVERSION-DATE>. The terms themselves stay unchanged. Ship it as the
LICENSE file of your work, and keep a NOTICE file for your attribution
notices (Section 4(d)). Adopters outside the field of personal-information
detection may adapt the field named in the "Competing Model" definition to
their own field.