Small models.
Superior outcomes.
RefinedNeuro builds and fine-tunes specialized language models that outperform systems 1000× their size — delivering frontier intelligence without the frontier infrastructure, cost, or latency.
Benchmark-verified · Runs on modest hardware · Deployable on-premise & air-gapped
Bigger isn't better.
Specialized is.
The industry chases ever-larger models with ever-larger bills. We take the opposite path: purpose-built models, refined to a single mission, that beat the giants where it actually matters.
Radically efficient
Up to 1000× lower cost per inference and 1000× the throughput of large frontier models — so you serve more users, faster, for a fraction of the spend.
Built for your problem
We develop and fine-tune models around your exact task and domain. Focused scope means higher accuracy where it counts — not a jack-of-all-trades that's master of none.
Yours to control
Small footprints deploy anywhere — on-premise, at the edge, or fully air-gapped. Sensitive data for corporations and government agencies never has to leave your walls.
Proven, not promised
Every claim we make is backed by benchmarks. Our compact models consistently match — and often surpass — models a thousand times larger on the tasks they're built for.
Real-time by design
Low latency isn't a feature we bolt on — it's the point. Instant tool calling, event analysis, and decisions at the speed your operations demand.
Access for everyone
We believe advanced AI shouldn't demand vast budgets or specialized infrastructure to deliver. We put frontier capability within practical reach of every organization and agency.
Don't take our word for it.
Take the download count.
Anyone can claim their models are good. Ours have been pulled and downloaded by developers and organizations tens of thousands of times — across Hugging Face and Ollama, out in the open.
Impossibly small.
Undeniably powerful.
Our proprietary line is where the thesis becomes proof. Purpose-built engines that redefine what a model of their size can do.
The 30M-parameter tool-calling engine
A Turkish tool-calling model of just 30 million parameters that reasons about functions and orchestrates tools with an accuracy that rivals — and beats — models a thousand times larger. Small enough to run almost anywhere, sharp enough to run your automation.
The 4B rapid-response intelligence model
A compact 4-billion-parameter model specialized for high-stakes, high-volume work: real-time incident response, event and log analysis, and fraud detection. Because it's small, it's ~1000× cheaper and delivers ~1000× the throughput of big models — so you can watch everything, all the time.
We put it in the ring
with the giants.
50 held-out Turkish tool-calling tasks. Our 30M-parameter model, graded head-to-head against general models up to 320× its size — every model scored by the exact same rubric.
right tool.
The single hardest part of tool-calling is choosing the correct function. On that measure, our smallest model didn't just keep up with the billion-parameter field — it led it.
Tool-selection accuracy · higher is better
The honest read: across a tight, expert field, our 30M model posts the best tool-selection score and ties the billion-parameter models on strict exact-match — while being the only one that runs without a GPU. We don't claim to beat every model on every metric; we claim to stand shoulder-to-shoulder with models hundreds of times larger, on their home turf, for a fraction of the cost. That's the whole thesis, measured.
Try our work today
A growing family of open models on Hugging Face and Ollama — the same small-but-mighty philosophy, in your hands right now.
RefinedToolCallV5-3b
A compact tool-calling model tuned for reliable, structured function invocation in production agent workflows.
VibeThinker-3B-Hermes
A 3B reasoning model tuned for Hermes-style function calling — thoughtful multi-step logic in a lightweight package.
RN_TR_R2
A Turkish-language reasoning model that excels at STEM problem-solving and cultural Q&A, with tool support.
RN_TR_R1
A bilingual Turkish-English chat model optimized for instruction-following, reasoning, and real-time inference.
Turkcell-LLM-7b-v1
A Turkish-optimized language model trained on billions of Turkish tokens for fluent, native-quality generation.
Need something custom?
Our proprietary flagships and bespoke fine-tunes are built around your exact mission. Let's talk about yours.
A distinct edge across
MENA & Southeast Asia
Our small-model strategy gives RefinedNeuro a special position in markets where cost-efficiency, data sovereignty, and native-language capability matter most.
- ✓Native-language strength — models built to think in the region's languages, not translated afterthoughts.
- ✓Sovereignty-first — on-premise and air-gapped deployment keeps regulated data inside national borders.
- ✓Infrastructure-light — frontier results without frontier data centers, ideal for emerging AI ecosystems.
- ✓Government-ready — purpose-built for the security and reliability agencies require.
We believe the power of language models should be available to everyone — every corporation and every government agency — without the cost and infrastructure that hold it back.
— The RefinedNeuro mission
Frontier intelligence,
sized for your mission.
Tell us the problem. We'll build the model that solves it — small, fast, benchmark-proven, and entirely yours.