(About Us)
(Our Founders)
Rafael
CEO
Former CTO and COO of an LVMH-backed venture, with a background spanning aerospace and consumer goods. Rafael has scaled operations across technology, logistics, supply chain, planning, and analytics. In both fast-growing scale-ups and global enterprises. An engineer, that stays close to the technical detail of how teams, processes, and systems run.
“Every experiment begins with a question, but the real what?”
Dr Elena Kovács
Lead Research Scientist
“Every experiment begins with a question, but the real work is programming.”
Dr Elena Kovács
Lead Research Scientist
“Every experiment begins with a question.”
Dr Elena Kovács
Lead Research Scientist
“Every experiment begins with a question.”
Dr Elena Kovács
Lead Research Scientist
(Our Background)
We run an AI-native team, made up entirely of senior people. Our co-founders work directly on every brand we take on. So you always get the people who built the company.
We help operations teams deliver profitable growth
(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.