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brainiac/studio

Digital Studio

brainiac/studiobrainiac/studio
← AI Services
01 · ai services / custom llm

An AI that sounds like you — and only you.

For businesses that need AI with their exact tone of voice, deep knowledge of their field, or much lower running costs at scale. We custom-train AI, test it properly — and tell you honestly when custom training won't solve your problem.

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our point of view

Custom training is a last resort. When it's the right tool, it changes everything.

Most teams that ask for custom AI training don't actually need it. They need better instructions, better use of their own documents, or better testing. We tell you that before you spend $50k on training. When custom training is the right answer — your exact tone at scale, a format nobody else uses, knowledge too fresh or too specialized for off-the-shelf AI, or slashing your running costs — we build the whole thing.

Training without testing is guessing. So we build the test first: the exact behaviors you want to improve, and the ones that must not get worse. We measure before training, after every round, and once it's live. It's a cycle of improvement, not a one-time job.

We work with OpenAI, Anthropic, and the leading free open-source AI models. We choose based on your speed, privacy, and budget needs — not on what's trending.

60–80%Lower running costs at the same quality
3–5×More questions handled per second
4–8 weeksFrom first review to your custom AI running live
what we build

What we do.

01

Teaching by example

We train the AI on high-quality examples of exactly what you want — your format, your tone, your industry knowledge — until it does it reliably, every time.

02

Creating training examples

When you don't have enough real examples — or they're confidential — we use a top-tier AI to generate thousands of high-quality practice examples, then check them carefully.

03

Fast, affordable training

Modern training shortcuts let us build custom AI on modest hardware and improve it quickly — so you get results without renting a supercomputer.

04

Shrinking big AI into cheap AI

We teach a smaller, faster, cheaper AI to copy the best model's answers on your specific tasks — near top-tier quality at a fraction of the running cost.

05

Test-first improvement

We build the test before we train, check for slip-ups after every round, and keep going until the behavior you want is consistent — not just 'better than before.'

06

Runs on your own systems

The finished AI runs inside your own AWS, Google, or Azure account — answering in under 100ms, even for large models up to 70B parameters. Your data never leaves the building.

approach

How we do it.

01

Needs audit

First we check whether custom training is actually the right answer. We try the simpler, cheaper fixes first. If training is genuinely needed, we define exactly what it must do better.

02

Design the test

Before touching any training data, we build the test: the behaviors to improve, the behaviors that must not get worse, and the scores we'll track after every round.

03

Prepare the examples

We gather and clean your training examples. If real ones are scarce, we generate high-quality practice examples with a top-tier AI and double-check them against the test.

04

Train & score

We train, score against the test, adjust, and repeat — until the behavior you want shows up reliably without anything else getting worse.

05

Launch

We set the finished AI up on your systems, measure its speed, and give you a live dashboard showing exactly what it costs to run.

tech stack

Tools we use.

OpenAI Fine-Tuning API
Hugging Face Transformers
LoRA / QLoRA (PEFT)
Llama / Mistral / Qwen
vLLM
AWS SageMaker / Bedrock
W&B / MLflow
LangSmith / RAGAS
faq

Frequently asked.

5 questions answered. Still have one? Reach out.

For a narrow, specific task, as few as 50–200 great examples can noticeably change how the AI behaves. For bigger changes, 1,000–10,000+. We help you figure out the right number — and we can generate extra examples to fill the gaps.

5 questions
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