CarrotHub.ai

CarrotHub.ai

We retrain AI models for scenarios others won't touch.
Prompt engineering. Fine-tuning. Bespoke outputs.
Your model, unchained.

Model Retraining Prompt Optimization Bespoke Models
3 Core Disciplines
9+ Serving Platforms
18+ Adults Only
NDA By Default

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Why Models Fail You

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.

Failure 01

It breaks character at the worst moment

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.

Failure 02

It moralises instead of answering

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.

Failure 03

It forgets who it is talking to

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.

Failure 04

Fine-tuning made it worse

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.

Failure 05

The data simply isn't public

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.

Failure 06

Nobody will take the engagement

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.

Capabilities

Three disciplines, one outcome — models that understand the scenario you brought them, not the reservations they were shipped with.

01

Open-Weight Post-Training & Inference Deployment

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.

Deliverables Model Weights Inference Image API Endpoint Benchmark Report
02

Proprietary Model Data Annotation

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.

Deliverables JSONL / Parquet Dataset Annotation Guideline QC Report IAA Metrics
03

Post-Training Data Curation & Synthesis

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.

Deliverables Training Corpus Mixture Plan Data Card Iteration Log

From Brief to Endpoint

No discovery theatre, no six-week onboarding. We move in five steps, and you see something running early.

Step 01

Scoping Call

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 NDA
Step 02

Baseline & Probe

We 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 report
Step 03

Data Build

Annotation 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 card
Step 04

Train & Calibrate

Alignment calibration, mixture-ratio and curriculum design, then closed-loop iteration: evaluate, trace the gap, replenish the data, train again.

Weights + eval logs
Step 05

Serve & List

Quantised variants, high-concurrency serving behind an OpenAI-compatible API, and optional listing across aggregator platforms. You end with a billable production endpoint.

Live endpoint

Bring Us The Brief

Tell us what nobody else would build

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.

Find Us

Terms of Use

Last updated: 24 August 2026 · Version 1.0

Read this before engaging us. CarrotHub.ai ("CarrotHub", "we", "us") provides model post-training, data annotation and deployment engineering services. By accessing this site or commissioning any work, you ("Client", "you") accept these Terms in full. If you do not accept them, do not use this site and do not engage us.

01 Eligibility and Adult Content Acknowledgement

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.

02 Scope of Services

CarrotHub's engagement is strictly limited to technical execution. We provide:

  • Post-training and fine-tuning of open-weight models (full fine-tuning, LoRA/QLoRA, preference optimisation, alignment removal or realignment as commissioned).
  • Data annotation for proprietary models, including guideline design, preference ranking, graded labelling and specialist annotation teams.
  • Post-training data curation and synthesis, including corpus construction, cleaning, deduplication and synthetic augmentation.
  • Inference deployment and optimisation, including quantisation, serving-stack configuration, throughput tuning and endpoint publication.
  • Listing assistance on third-party API aggregation platforms, where the Client requests it and platform rules permit.
We are a technical contractor, not a content publisher and not an operator of your product. We do not select your end users, define your product's use case, moderate your traffic, or supervise how a delivered model is subsequently deployed. Those decisions rest entirely with you.

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.

03 Intellectual Property in Model Capability

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.

04 No Open-Sourcing of Fine-Tuning Results

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.

05 Misappropriation, Distillation and Reverse Engineering

The following are expressly prohibited in respect of any CarrotHub artefact or endpoint:

  • Distillation — using outputs of a CarrotHub-tuned model, in whole or in part, directly or indirectly, as training, fine-tuning, preference or evaluation data to create, train or improve any other model, whether your own or a third party's.
  • Systematic output harvesting — bulk or automated generation intended to reconstruct model behaviour, capability or style.
  • Competitive development — using or accessing a CarrotHub artefact, endpoint, output or documentation in order to develop or build a similar or competing product or service, or to conduct competitive analysis or benchmarking of our services.
  • Reverse engineering — weight extraction, adapter separation, layer probing, or recovery of training data, recipes or taxonomies.
  • Unauthorised sublicensing or resale of the artefact or of access to it.
  • Circumvention of any technical, contractual or watermarking control we apply.
We reserve every legal remedy available to us. CarrotHub expressly retains the right to pursue litigation — including claims for breach of contract, trade-secret misappropriation, copyright infringement, unfair competition and injunctive relief — against any party that misappropriates, distils or reverse engineers our work, and to seek damages, disgorgement of profits, and recovery of legal costs. We further reserve the right to embed forensic markers in deliverables for the sole purpose of evidencing such misappropriation.

06 Limitation of Liability and Client Responsibility

What we are responsible for

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.

What we are not responsible for

  • Your use case. The purpose, audience, product design and business model into which a delivered model is placed are determined by you alone.
  • Your regional compliance. You are solely responsible for determining whether your deployment is lawful in every jurisdiction you serve, and for obtaining any licence, classification, age-verification or record-keeping compliance required there.
  • Model outputs. Generative models are probabilistic. We do not warrant that outputs will be accurate, lawful, non-infringing, inoffensive or fit for any particular purpose, and we give no warranty of any kind, express or implied, beyond those that cannot lawfully be excluded.
  • Downstream consequences of your deployment, including end-user conduct, third-party claims, platform enforcement action, reputational harm or regulatory action against you.

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.

07 Territorial Restrictions

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:

Tier A · Prohibited — do not deploy
Mainland China
Indonesia
North Korea
Vietnam
Iran
Saudi Arabia
Any OFAC / EU-sanctioned state
Any other prohibiting jurisdiction
Tier B · Heavily restricted or actively blocked
India
Türkiye
Iraq federal territory blocked; Kurdistan Region not
Bangladesh
Pakistan
Malaysia · Brunei
Singapore
Thailand
Philippines
Qatar · Kuwait · Bahrain
United Arab Emirates
Afghanistan
Republic of Korea
Russia · Belarus
Uganda · Nigeria · Sudan
Kenya · Tanzania · Zambia
Ghana · Malawi · Botswana
Morocco · Algeria · Tunisia
Tier C · Distribution restricted, access not criminalised
Egypt distribution unlawful; access not an offence
Japan uncensored material unlawful; censored permitted
Jordan

7.2 High-assurance age verification territories

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.

The tiering above reflects our understanding at the time of writing, is indicative and non-exhaustive, and legal positions change frequently. It does not constitute legal advice and must not be relied upon as a compliance determination. The obligation to determine the legality of your deployment in every territory you serve is yours alone. You must implement your own geo-restriction, age-assurance and compliance controls, and obtain your own qualified local legal advice. CarrotHub accepts no liability for any deployment made into a prohibiting or restricted jurisdiction, and may terminate an engagement immediately, without refund, where we reasonably believe such a deployment is occurring.

08 Third-Party Platforms and Marketplaces

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.

  • Each platform's own terms, acceptable-use policy and content rules apply in addition to these Terms; where they are stricter, the stricter rule governs.
  • Platforms may suspend, delist, rate-limit, reprice or reject a listing at their sole discretion. We do not control and cannot guarantee continued availability.
  • We give no warranty as to platform uptime, latency, billing accuracy, payout timing or data handling.
  • Any dispute concerning a platform must be pursued with that platform. CarrotHub is not liable for platform enforcement action, delisting, revenue loss or account termination.
Do not assume a marketplace performs age assurance on your behalf. Aggregation platforms commonly set their own minimum registration age well below the adult threshold — several specify thirteen years, subject only to parental permission — and they do not undertake age verification for downstream adult use cases. Listing a model on such a platform therefore does not discharge any age-assurance, geo-restriction or content-labelling obligation that applies to you. Those obligations remain yours in full.

09 Confidentiality and Client Data

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.

We do not retain your production data

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.

You are responsible for ensuring you hold the necessary rights and lawful basis to supply us with any data, and for excluding material you are not permitted to disclose.

10 Cloud Storage, Rotation and Retention

Generated artefacts are delivered via cloud object storage (OSS bucket). This storage is a transit mechanism, not an archive.

Download your deliverables promptly. Bucket capacity is finite. When capacity is reached, the oldest data is automatically purged without further notice to make room for new output. Purged data cannot be recovered, reproduced or reissued, and no compensation, credit, refund or re-delivery will be provided for any loss resulting from failure to download in time. Retrieval is your responsibility; retention is not a service we offer.

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.

11 Acceptable Use — Absolute Prohibitions

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:

  • Any depiction of minors in sexual or suggestive context, real or synthetic, howsoever styled or described. There is no exception to this, and no engagement of this kind will be accepted under any circumstances.
  • Non-consensual material, including the sexualised likeness of an identifiable real person without their documented consent, deepfake impersonation, or revenge material.
  • Sexual content involving animals, or content depicting or promoting serious physical harm, trafficking, coercion or exploitation.
  • Harassment, stalking, doxxing, extortion, or the targeting of any specific individual.
  • Terrorism, violent extremism, weapons or explosives instruction, or the facilitation of serious crime.
  • Fraud, malware, credential theft, or circumvention of another party's security controls.

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.

12 General Provisions

Independent contractor

CarrotHub acts as an independent contractor. Nothing in these Terms creates a partnership, joint venture, agency, employment or fiduciary relationship, and neither party may bind the other.

No professional advice

Nothing on this site or in any communication from us constitutes legal, regulatory, tax or compliance advice. You must obtain your own qualified advice for your jurisdiction and business model before deploying.

Payment and refunds

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.

Force majeure

Neither party is liable for delay or failure caused by events beyond reasonable control, including compute or hardware unavailability, upstream model licence changes, provider or platform policy changes, sanctions, network failure, natural disaster, or governmental action.

Export control and sanctions

You represent that you are not subject to, and will not transfer any deliverable in violation of, applicable export-control or economic-sanctions law, and that you are not a restricted or designated party under such law.

Survival

Sections 03, 04, 05, 06, 09, 10 and 12 survive termination or expiry of any engagement indefinitely.

Severability and waiver

If any provision is held unenforceable, it shall be limited to the minimum extent necessary and the remainder shall continue in full force. No failure or delay in enforcing a right constitutes a waiver of it.

Amendment

We may revise these Terms at any time by publishing an updated version on this page. Continued use of the site or commissioning of further work after publication constitutes acceptance of the revised Terms. Material changes will be reflected in the version and date shown above.

Entire agreement

These Terms, together with the applicable statement of work, constitute the entire agreement between the parties and supersede all prior discussions. In the event of conflict, the signed statement of work prevails.

Governing law and disputes

These Terms are governed by the laws of the jurisdiction in which CarrotHub.ai is established, without regard to conflict-of-laws rules. The parties submit to the exclusive jurisdiction of the competent courts of that jurisdiction, save that CarrotHub may seek injunctive or interim relief in any competent forum to protect its intellectual property.

© 2026 CarrotHub.ai — all rights reserved.
Questions regarding these Terms may be directed to us through the channels listed on the Home page.