(What we do)
We work with brands that have outgrown manual processes and gut-feel decisions. We combine data engineering, large language models, and machine learning to power best in class operations. So you can scale your business without scaling the team.
(Our Services)
We judge every project with one question: did the business run better after?
Our toolbox.
Data Engineering & Analytics
/01
We build a single source of truth accross all your systems. If you already have one, we use it to build all models.
LLMs & Machine Learning
/02
Deploy AI against clear ROI and upskill your team to become AI native.
Automation & Applications
/03
Use the rich data and our extensive background in operations to build applications that create true value.
(Methodology)
We apply the scientific method. Only what truly works, stays.
(Use Cases)
We work with brands who share our passion for innovation.
Applied AI for ops teams ready to take the next step.
(FAQ)
Most of these come up in the first conversation.
The short answers are here. The longer ones are better in person.
How do you ensure our data remains secure?
Your data stays in your environment. We build inside your cloud, on your accounts, under your access controls. Nothing is copied to a Telemyr environment, no third-party platforms hold your information, and every system we deploy is yours to audit, modify, or shut down. Where AI models are involved, we use private endpoints and grounded retrieval so prompts and outputs never train external models.
What is the typical deployment timeline?
Faster than most businesses expect. A foundational data warehouse and first automated reporting layer is usually live within four to six weeks of data access being granted. Machine learning and automation builds on top of that, in working increments. We do not ship a single delivery at the end. The business sees value within the first month and keeps seeing it every few weeks after that.
Do we own the custom code you build?
Yes. Every line of code, every model, every pipeline, every dashboard belongs to your business. It runs in your infrastructure, under your accounts, with full documentation. Telemyr retains the right to use anonymised methodologies for future work. We do not retain access, dependencies, or licences over what we built for you.
What models do you specialize in?
Whichever fits the problem. We work across OpenAI, Anthropic, Google, and open-weight models including Llama and Mistral, alongside classical machine learning where it outperforms LLMs. Most engagements use more than one. The choice follows the use case, the cost structure, and your data residency requirements, not the latest release.
Do you provide model fine-tuning?
When it earns its place. Most businesses don't need a fine-tuned model. They need their data structured well enough that a general-purpose model can answer accurately against it. We start with retrieval and prompt design, measure performance, and only fine-tune when the use case justifies the cost. Every decision is explained, never hidden behind technical language.