GO LOCAL.AI
Menu

Our impact

and commitments.

How Go Local AI reports environmental impact, checks its recommendations and puts its commitments into practice.

How we report
environmental impact.

The platform separates provider disclosures from workload measurements and carbon estimates.

Measured
Energy telemetry, where available GPU and host energy readings from infrastructure we can monitor, with coverage and allocation assumptions stated.
Estimated
Operational carbon For on-premise and private-cloud deployments, energy readings and the relevant carbon-intensity data inform operational carbon estimates. These exclude lifecycle emissions.
Unknown
Gaps remain visible Missing provider or infrastructure data is disclosed, not replaced by a confident number.

Hosting with us uses verified renewable power. For other deployments, the model, hardware and energy source determine the impact.

Useful AI.
Less harm.

Recommendations you can check.

The Assessment Engine compares models against agreed quality requirements. Full assessments include blind tests scored by your team. Reports and test results are yours to keep, including when the recommendation is to retain your current setup.

Open-weight is not open source.

We check the exact model release, licence and restrictions, and include them in the assessment report or deployment documentation. Open weights alone do not resolve questions about training-data consent or compensation for creators.

Reduction, not offsets.

We do not substitute carbon, water or other offset credits for genuine reductions or direct support.

No defence or surveillance work.

We do not work on products designed to harm people, serve warfare or violate human rights.

Give something back.

We commit at least 1% of revenue plus a separate 10% of profit each year to support people, creators and ecosystems affected by the industry. Donations do not erase that harm.

1% of revenue, minimum
10% of profit, minimum
Planned recipients for 2026
  • Good Shepherd International Foundation for their work combating child labour in cobalt-mining communities through education, healthcare, livelihoods and community support. The hardware behind every AI system, including ours, and most green energy initiatives depends on cobalt extracted through the exploitation of those communities..
  • Water Witness for their work improving water security, protecting water resources and supporting communities affected by pollution, scarcity and climate change. Data centres can consume significant quantities of water for cooling, and the communities nearest to raw resource extraction sites are often those with the least access to clean water.
  • Artists Futures Fund for providing fellowships, bursaries, mentorship and career support to emerging artists facing economic and social barriers. Generative AI was trained on the work of artists who were never asked and never paid. We cannot undo that, but we can support the people it affects, by helping fund opportunities to foster human creativity and creation.
  • Client Earth for using the law to protect the environment and hold governments and corporations accountable for pollution, environmental damage and greenwashing. This work is crucial in fighting the impact of the climate crisis and giving incentives for businesses to conduct themselves in a way that puts the planet first.
  • Raid for investigating corporate abuses in the extractive industries and supporting affected workers and communities in seeking accountability and remediation. A more fair and sustainable supply chain can go a long way towards reducing everyone’s impact from the usage of new technologies.
  • Generation UK for providing intensive training, mentoring and employment support to people facing barriers to work, helping them transition into careers in technology, sustainability and healthcare. It is an initiative more important than ever because every new tool like AI has displaced jobs, and created new ones that require specialized training.

During renewable energy surplus, we commit otherwise idle compute to public research projects such as Folding@home, GPUGRID and Einstein@Home.

Donation totals and donated compute hours will be reported after the 2026 financial year.

Sustainable inference
commitment.

We run our managed inference on verified renewable-powered infrastructure through Civo in the UK. We check the energy source of the facilities we use and do not rely on offsets to make that commitment.

We also work to reduce the compute needed in the first place. That means choosing models that fit the task and making good use of the hardware they run on.

Our website is hosted by Krystal, which powers its hosting with renewable electricity.

We can share the facility and energy information behind our hosting choices.

Ask about our hosting and energy sources

Keeping your setup
can be the right answer.

Our no-migration rate records how often full assessments recommend “stay where you are” or “not yet”. We will publish it after the 2026 financial year.

Assessment is one way to start. You can also licence individual engines or the full platform directly.

Ways to get started
Where your data goes Ask us about a claim