LLM development company
Fine-tuning, post-training, distillation and serving.
Zingaro AI develops large language models for clients: supervised fine-tuning, reinforcement post-training with verifiable rewards, distillation into small models, evaluation suites and production serving with quantisation and speculative decoding.
Who searches for this
- Companies running a narrow task at high volume on a general model and paying for it.
- Regulated businesses that need a model inside their network.
- Product teams whose model needs to be faster, cheaper or more consistent.
The words, then how we fit them.
People searching for an LLM development company usually want a language model that does their job better than a general one: trained on their data, in their format, at a cost and latency that work at volume, sometimes on their own hardware.
- 01
Zingaro AI fine-tunes open-weight models on the client's data and post-trains them with reinforcement learning where the task can be checked by code.
- 02
Zingaro AI distils large models into small ones for production, then routes the uncertain cases to a larger model or a person.
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Zingaro AI engineers the serving: quantisation, batching, speculative decoding and caching, measured on the client's own load.
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The weights are delivered to the client and run inside the client's boundary when the rules require it.
What we would actually do for you.
- Language models01
Custom LLM training and fine-tuning
Domain models fine-tuned, post-trained and distilled on your data, on weights you own.
Explore - Inference02
Inference engineering and optimisation
Serving stacks tuned for latency and cost: quantisation, speculative decoding, batching, caching, GPU planning.
Explore - Evals03
Evals, red-teaming and guardrails
Know whether it works before you ship, and keep it working after: evaluation, safety and observability.
Explore - Data04
Data, labelling and synthetic data
Datasets, annotation, transcription and synthetic data pipelines, with evaluation sets that reflect production.
Explore - Deployment05
Enterprise and sovereign AI deployment
On-premise, air-gapped, private cloud and in-country deployment with MLOps, monitoring and retraining.
Explore
Asked in these words.
What does an LLM development company do?
An LLM development company adapts large language models to a client's task and serves them in production. Zingaro AI fine-tunes, post-trains and distils models, builds the evaluation suite that gates releases, and engineers the inference on the client's hardware or in the client's cloud.
How much data does fine-tuning need?
Fine-tuning a language model for a narrow task at Zingaro AI usually starts with a few hundred to a few thousand good examples, or a set of prompts with verifiers when the task can be checked by code. Variety matters more than volume.
Other ways people describe this work: ai development company, ai consulting, ai agency, machine learning services, generative ai services, ai automation agency, custom ai development, enterprise ai solutions.
Bring us the job you keep postponing.
Twenty minutes is enough to say whether we can take it.
A pilot starts within 5 working days of agreed scope · Nothing upfront · No seat licences