fix links and images

Author: OriolAbril

README.rst

@@ -186,6 +186,8 @@ Learn Bayesian statistics with a book together with PyMC
 -  `PyMC port of the book "Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath <https://github.com/pymc-devs/resources/tree/master/Rethinking>`__
 -  `PyMC port of the book "Bayesian Cognitive Modeling" by Michael Lee and EJ Wagenmakers <https://github.com/pymc-devs/resources/tree/master/BCM>`__: Focused on using Bayesian statistics in cognitive modeling.
 
+See also the section on books using PyMC on `our website <https://www.pymc.io/projects/docs/en/stable/learn/books.html>`__.
+
 Audio & Video
 -------------
 
@@ -271,7 +273,7 @@ Domain specific
 - `CausalPy <https://github.com/pymc-labs/CausalPy>`__: A package focussing on causal inference in quasi-experimental settings.
 - `PyMC-Marketing <https://github.com/pymc-labs/pymc-marketing>`__: Bayesian marketing toolbox for marketing mix modeling, customer lifetime value, and more.
 
-Please contact us if your software is not listed here.
+See also the `ecosystem page <https://www.pymc.io/about/ecosystem.html>`__ on our website. Please contact us if your software is not listed here.
 
 Papers citing PyMC
 ==================
@@ -287,7 +289,7 @@ page <https://github.com/pymc-devs/pymc/graphs/contributors>`__. Also read our `
 Support
 =======
 
-PyMC is a non-profit project under NumFOCUS umbrella. If you want to support PyMC financially, you can donate `here <https://numfocus.salsalabs.org/donate-to-pymc3/index.html>`__.
+PyMC is a non-profit project under NumFOCUS umbrella. If you want to support PyMC financially, you can donate `here <https://numfocus.org/donate-to-pymc>`__.
 
 Professional Consulting Support
 ===============================
@@ -301,9 +303,7 @@ Sponsors
 
 |PyMCLabs|
 
-|Mistplay|
-
-|ODSC|
+|OpenWoundResearch|
 
 Thanks to our contributors
 ==========================
@@ -323,11 +323,9 @@ Thanks to our contributors
 .. |NumFOCUS| image:: https://github.com/pymc-devs/brand/blob/main/sponsors/sponsor_logos/sponsor_numfocus.png?raw=true
    :target: http://www.numfocus.org/
 .. |PyMCLabs| image:: https://github.com/pymc-devs/brand/blob/main/sponsors/sponsor_logos/sponsor_pymc_labs.png?raw=true
-   :target: https://pymc-labs.io
-.. |Mistplay| image:: https://github.com/pymc-devs/brand/blob/main/sponsors/sponsor_logos/sponsor_mistplay.png?raw=true
-   :target: https://www.mistplay.com/
-.. |ODSC| image:: https://github.com/pymc-devs/brand/blob/main/sponsors/sponsor_logos/odsc/sponsor_odsc.png?raw=true
-   :target: https://odsc.com/california/?utm_source=pymc&utm_medium=referral
+   :target: https://pymc-labs.com
+.. |OpenWoundResearch| image:: https://github.com/pymc-devs/brand/blob/main/sponsors/sponsor_logos/owr/sponsor_owr.png?raw=true
+   :target: https://www.openwoundresearch.com/
 .. |contributors| image:: https://contrib.rocks/image?repo=pymc-devs/pymc
    :target: https://github.com/pymc-devs/pymc/graphs/contributors
 .. |Conda Downloads| image:: https://anaconda.org/conda-forge/pymc/badges/downloads.svg

docs/source/learn/consulting.md

@@ -1,13 +1,13 @@
 (consulting)=
 # Consulting
 
-<center><a href="https://www.pymc-labs.io/"><img src="https://github.com/pymc-labs/brand/blob/main/logos/4-pymc-labs-transp-black.png?raw=true" class="center" width="75%"></a></center>
+<center><a href="https://www.pymc-labs.com/"><img src="https://github.com/pymc-devs/brand/blob/main/sponsors/sponsor_logos/pymc_labs.png?raw=true" class="center" width="75%"></a></center>
 <br>
 
-If you need professional help with your PyMC model, [PyMC Labs](https://www.pymc-labs.io) is a Bayesian consultancy consisting of [members of the PyMC core development team](https://www.pymc-labs.io/team/). Work we typically do includes:
-* Model speed-ups (reparameterizations, JAX, [GPU sampling](https://www.pymc-labs.io/blog-posts/pymc-stan-benchmark/))
-* Improving models (adding hierarchy, time-series structure etc)
+If you need professional help with your PyMC model, [PyMC Labs](https://www.pymc-labs.com) is a Bayesian consultancy consisting of [members of the PyMC core development team](https://www.pymc-labs.com/team/). Typically PyMC Labs work includes:
+* Model speed-ups (reparameterizations, JAX, [GPU sampling](https://www.pymc-labs.com/blog-posts/pymc-stan-benchmark/))
+* Improving models (adding hierarchy, time-series structure, etc.)
 * Building new models to solve applied business problems
-* [Bayesian Media Mix Models](https://www.pymc-labs.io/blog-posts/bayesian-media-mix-modeling-for-marketing-optimization/) for marketing attribution
+* [Bayesian Media Mix Models](https://www.pymc-labs.com/blog-posts/bayesian-media-mix-modeling-for-marketing-optimization/) for marketing attribution
 
-Interested? Send us an email at [info@pymc-labs.io](mailto:info@pymc-labs.io).
+Interested? Send an email to [info@pymc-labs.com](mailto:info@pymc-labs.com).