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We retrain AI models for scenarios others won't touch.
Prompt engineering. Fine-tuning. Bespoke outputs.
Your model, unchained.
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The Problem
A general-purpose model is tuned for the average request from an average user. If your scenario isn't average, you inherit every compromise made on someone else's behalf.
Twenty turns of carefully built atmosphere, then the model steps outside the scene to remind you what it is. Immersion doesn't survive a disclaimer. We tune persona persistence so the character holds under pressure.
Refusals rarely arrive as a clean "no" — they arrive as a lecture, a deflection, or a blandly rewritten version of what you asked for. The register collapses long before the content does.
Relational state, established facts, emotional trajectory — all quietly reset. By turn 200 you are re-explaining the premise. We train for long-range consistency, not just long context windows.
Open the target register carelessly and general reasoning degrades with it — catastrophic forgetting dressed up as progress. Mixture ratio and curriculum design are where most attempts derail.
The distribution you need was filtered out of every open corpus on policy grounds. No amount of compute recovers it. It has to be built, annotated and graded deliberately.
Mainstream vendors decline the brief, and commodity annotation shops lack the linguistic instinct even when they accept it. This is the gap we were built to close.
What We Do
Three disciplines, one outcome — models that understand the scenario you brought them, not the reservations they were shipped with.
We make a model genuinely understand your scenario — rather than the reservations instilled during its training.
Base Model Evaluation & SelectionWe screen open-weight foundations — Llama, Qwen, Mistral, DeepSeek, Gemma — with particular attention to alignment intensity, expressive headroom and licence permissiveness. At equal parameter count, a foundation carrying a lighter burden saves substantial downstream correction cost.
Alignment CalibrationOur core craft. General-purpose models ship with constraints far exceeding what a given scenario requires, and the price is a collapse of linguistic tension — deflection, moralising, breaking character, flattening everything into safe mediocrity. We re-calibrate expressive boundaries with targeted preference data so the model stays present, stays in character, and stops censoring itself within the register you define.
Persona & Long-Range ConsistencyStable persona embodiment, cross-turn situational memory, continuous evolution of tone and relational state — so at turn 200 the model still knows who it is, who it is speaking to, and how far the two of them have come.
Register & Style AdaptationFine-grained tuning for high-context-dependency scenarios — mature creative writing, immersive narrative, companion dialogue — across multiple languages and cultural registers.
Quantisation & Inference ServingWeights delivered in GGUF / AWQ / GPTQ / FP8 variants, served at high concurrency on vLLM or SGLang behind an OpenAI-compatible API, with KV-cache optimisation and multi-GPU parallelism.
Listing & CommercialisationWe handle listing and pricing across OpenRouter, Together AI, Replicate, Groq and other aggregators — you receive a billable, production endpoint.
You have the compute and the architecture. What you lack is the portion of the data nobody else will touch.
Annotation Framework & Edge-Case CorpusWe define the guideline, the label taxonomy and — critically — the edge-case corpus with you. This is where the craft shows: the ambiguous territory is precisely the watershed of model capability, so we pin each case down into an executable criterion instead of leaving annotators to guess.
Preference Ranking & Graded LabellingPairwise comparison, multi-tier preference ordering, content-intensity grading, register-fit scoring — teaching the model to distinguish what the client actually wants from what it assumes the client wants.
High-Context Scenario AnnotationImmersive narrative, persona consistency, multi-turn dialogue in intimate registers, emotional and tension-curve labelling. This class of corpus demands linguistic instinct and cultural grounding that commodity outsourcing simply cannot deliver.
Specialist Annotation TeamsAssembled on demand for specific language capability, cultural background or subject-matter experience — including subject matter that mainstream vendors decline on policy grounds — across multiple languages and localised registers.
Three-Tier Quality ControlAnnotation → cross-review → expert adjudication, with inter-annotator agreement metrics and per-batch sampling reports. Batches below threshold are reworked at no charge.
Confidential DeliveryUnder NDA throughout. Data circulates only inside the environment you designate; we retain no copy after delivery, and your architecture and training intent never leave the engagement.
The distribution systematically scrubbed out of public datasets is exactly the part we put back.
Collection & CleaningMulti-source aggregation, MinHash deduplication, quality-score filtering and PII redaction, with a traceable data lineage on delivery.
Synthetic Corpus ProductionTeacher-model-driven self-instruct expansion and distillation, generating instruction data, multi-turn dialogue, persona cards and long-context narrative at volume — covering the long-tail distribution that authentic corpora cannot practically reach.
Style & Register CustomisationComplete corpora generated to your specified voice, persona framing, relational framework and content intensity — including matched negative controls: the reactions the model should never produce (breaking character, moralising, deflecting, abrupt closure). Negative samples often correct behaviour more effectively than positive ones.
Mixture Ratio & Curriculum DesignWe design the domain-to-general data ratio, curriculum ordering and sampling weights to suppress catastrophic forgetting — opening up the target register while preserving the model's general reasoning and language-quality baseline. This is the stage where most attempts derail.
Closed-Loop IterationEach training round's evaluation results are traced back to specific capability gaps, then answered with targeted data top-ups and ratio adjustments — a train → evaluate → replenish flywheel.
Pipeline AdaptationOutput formatted for your framework — LLaMA-Factory, Axolotl, TRL, Megatron — with tokenizer validation, length-distribution statistics and sampled visual inspection.
How We Work
No discovery theatre, no six-week onboarding. We move in five steps, and you see something running early.
You describe the scenario, the register and the failure modes you are hitting. We tell you plainly whether it is a prompting problem, a data problem or a training problem — including when the answer is "you don't need us for this".
Under NDAWe benchmark candidate open-weight foundations against your actual prompts, measuring refusal rate, character-break frequency and register fit — so the starting point is evidence, not preference.
Benchmark reportAnnotation guideline, edge-case corpus, preference ranking and matched negative controls. This is the stage that decides the outcome, and the stage most vendors skip.
Dataset + data cardAlignment calibration, mixture-ratio and curriculum design, then closed-loop iteration: evaluate, trace the gap, replenish the data, train again.
Weights + eval logsQuantised variants, high-concurrency serving behind an OpenAI-compatible API, and optional listing across aggregator platforms. You end with a billable production endpoint.
Live endpointWorking With Us
Every engagement starts with a scoping conversation under NDA. Bring the scenario, the failure logs, the register you need — and we will tell you what it actually takes, in what order, and where the hard part is. If the honest answer is that you don't need a retrain, we will say so.
Adults only, 18+. Confidentiality by default — your architecture and training intent never leave the engagement.
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Legal
Last updated: 24 August 2026 · Version 1.0
Access to this site and to any deliverable produced by CarrotHub is restricted to persons who are at least 18 years of age, or the age of legal majority in their jurisdiction, whichever is higher.
You acknowledge that our engagements routinely involve mature, uncensored and otherwise policy-restricted subject matter. You represent that you are a professional acting in a commercial capacity, that you are not a minor, and that you are not accessing this site on behalf of any minor.
The age attestation presented on entry is a binding declaration. Any person who submits a false declaration bears sole and full responsibility for that misrepresentation and for all consequences arising from it, and indemnifies CarrotHub against any claim resulting from it.
CarrotHub's engagement is strictly limited to technical execution. We provide:
Nothing on this site constitutes an offer of specific pricing, capacity or delivery timelines. All commercial terms are agreed per engagement in a separate written statement of work, which prevails over this page in the event of conflict.
Model capability produced through our work — including but not limited to training recipes, hyperparameter configurations, data mixtures, curation methodology, annotation taxonomies, synthetic-data pipelines, resulting weight deltas and adapter artefacts — constitutes the proprietary intellectual property of CarrotHub.ai.
Unless a signed statement of work expressly assigns or licenses specific rights to the Client, the Client receives a non-exclusive, non-transferable right to use the delivered artefact for the commercial purpose stated in that statement of work, and nothing more. No assignment of underlying capability, methodology or know-how is implied by delivery, payment, or by the artefact being in the Client's possession.
The Client retains all rights in data the Client supplies to us. Base-model rights remain with their respective upstream licensors, and the Client is responsible for complying with the licence of any base model it directs us to use.
Fine-tuning results produced by CarrotHub are not open source and will not be open-sourced. We publish no weights, no adapters, no training recipes and no data mixtures derived from client engagements.
The Client shall not publish, redistribute, mirror, upload to a public model hub, or otherwise make publicly available any delivered weights, adapters, configuration files, training logs or datasets, whether gratuitously or commercially, without our prior express written consent.
The following are expressly prohibited in respect of any CarrotHub artefact or endpoint:
CarrotHub is responsible solely for performing the commissioned technical work — tuning, annotation, curation, debugging, optimisation and, where requested, assistance with listing — with reasonable professional skill and care.
To the maximum extent permitted by law, CarrotHub's aggregate liability arising out of or in connection with any engagement shall not exceed the fees actually paid by the Client for that specific engagement. In no event shall CarrotHub be liable for indirect, incidental, special, punitive or consequential damages, or for loss of profit, revenue, data, goodwill or business opportunity, whether or not foreseeable.
You agree to indemnify and hold CarrotHub harmless against any third-party claim, demand, penalty or proceeding arising from your deployment, distribution or commercial exploitation of a delivered artefact.
Our services and deliverables are not offered, sold or licensed for deployment into jurisdictions where the relevant content is unlawful. You must not commission, receive, deploy or distribute a CarrotHub artefact into, or serve end users located in, any territory in which adult, sexually explicit or otherwise restricted material is prohibited or criminalised.
Restricted territories include, without limitation:
Certain jurisdictions do not prohibit adult material outright but impose statutory age-assurance duties that a self-declaration checkbox does not satisfy. In the United Kingdom, the Online Safety Act 2023 expressly treats adult content generated in response to user prompts as regulated content, and requires age verification or estimation that is "highly effective at correctly determining whether or not a particular user is a child." Comparable statutory age-verification regimes exist or are emerging in a number of United States states.
Where you deploy or make available a CarrotHub artefact to end users in any such territory, you are solely responsible for implementing a compliant age-assurance mechanism — typically a third-party verification provider — and for any regulatory liability arising from failure to do so. The age acknowledgement presented on this website governs access to this website only; it is not a compliance solution for your deployment, and must not be relied upon or replicated as one.
You are likewise responsible for satisfying any applicable record-keeping, participant-age-verification and labelling obligations that attach to adult material in your territory of operation.
Where a model is listed on a third-party API aggregation platform or marketplace, that platform is an independent operator. It is not a party to our agreement, does not endorse or underwrite our work, and bears no responsibility whatsoever for the model, its outputs, or your use of it.
Every engagement is conducted under mutual confidentiality. We treat your architecture, training intent, datasets, prompts and commercial plans as confidential information and disclose them to no third party.
CarrotHub does not save, archive or retain Client production data or generated outputs beyond what is strictly necessary to perform the commissioned work. Working data circulates only within the environment designated for the engagement, and is purged on completion. We do not use Client data to train models for other clients, and we do not resell or share it.
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Generated artefacts are delivered via cloud object storage (OSS bucket). This storage is a transit mechanism, not an archive.
You are advised to maintain your own backups immediately on receipt. We further recommend you verify artefact integrity at download time, as we cannot re-verify data that no longer exists.
Notwithstanding the adult-oriented nature of our work, the following are absolutely prohibited and will result in immediate termination without refund, and referral to law enforcement where applicable. You must not commission, request or use any deliverable in connection with:
We reserve the right to decline or discontinue any engagement, at any stage and at our sole discretion, without being required to state a reason.
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Fees are payable per the applicable statement of work. Work already performed is non-refundable. Termination for your breach of these Terms — in particular Sections 05, 07 and 11 — carries no entitlement to refund.
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