Custom AI Models
We help teams decide when a fine-tune is enough, when retrieval will do, and when a custom model is the right investment. If custom training matters, we build it so you own the model and the artifacts.
Custom AI models, made for you, owned by you
Honest model strategy
We do not force every problem into custom training. We look at task structure, available labels, retrieval fit, latency budget, context limits, and operating cost before recommending prompting, RAG, fine-tuning, or full custom training.
From fine-tunes to from-scratch training
When a base model plus retrieval is enough, we say so. When your product needs domain-specific behavior, lower inference cost, tighter control, or weights you can own, we fine-tune or train a model around your actual use case.
Artifacts you keep
Weights, tokenizer choices, training pipeline, eval setup, inference stack, and deployment handoff belong to you. Goal is not long-term dependency on our team. Goal is durable capability in yours.
What We Make
Start With Discovery
Two-week paid engagement. Written recommendation, fixed-price next scope, and a clear answer on whether custom training is worth doing.
Book Discovery SessionWhen This Service Fits
Teams Replacing API Dependence
You want lower long-term inference cost, tighter operational control, and fewer product constraints than rented black-box APIs allow
Businesses With Proprietary Data
You have domain data, task structure, workflows, or labels that generic assistants do not understand well enough to become core product behavior
Products Needing Smaller Purpose-Built Models
You need something sized for your task, latency target, memory footprint, or infrastructure instead of paying for a general model that does too much
Founders Wanting Real IP
You do not want your product moat to be prompt wrappers around someone else's intelligence layer
Operators Who Need Straight Answers
You want an honest recommendation, even if result is better prompting, retrieval, or a fine-tune rather than a bigger project
How Engagement Works
Same design as rest of site. Different substance. We start with evidence, not AI theater.
Discovery
Two weeks to review your task definition, data quality, labeling strategy, evaluation criteria, context requirements, and infrastructure constraints. You get a written recommendation, technical tradeoffs, and fixed-price next scope.
Choose Right Build Path
We decide whether your problem needs prompting, retrieval, supervised fine-tuning, preference tuning, or a custom-trained model. This is where most teams save money by not building the wrong thing.
Train & Package
We prepare datasets, run training or fine-tuning, define evaluation loops, compare checkpoints, build inference pipeline, document decisions, and prepare artifacts for handoff or deployment.
Deploy Where You Want
Run on your infrastructure, chosen cloud, or another target environment that fits your budget, compliance, throughput, and latency needs. We account for quantization, batching, and serving tradeoffs where they matter.
What Delivery Covers
This is model work, not only interface work. We focus on dataset quality, training method, evaluation design, inference economics, and deployment constraints.
Data Preparation
Dataset review, curation, deduplication, formatting, labeling strategy, and training-readiness checks
Model Adaptation
Architecture choice, parameter-efficient fine-tuning, full fine-tuning, and from-scratch training when task demands it
Evaluation & Cost Fit
Task-specific evals, failure analysis, checkpoint comparison, and tradeoffs in latency, cost, and maintainability
Inference & Handoff
Serving stack, quantization considerations, deployment pipeline, and operating notes so ownership stays with your team
Engagements & Pricing
Fixed prices where scope allows. Project pricing where custom training demands it.AI Model Discovery
From $9,500A two-week paid engagement where we review your data shape, labeling reality, target task, failure tolerance, model options, and serving constraints. You leave with a written recommendation, technical rationale, and a fixed-price scope for whatever comes next, even if it is not us.Why Lunover Does This Work
Lunover brings model-level technical judgment into client delivery, without pretending every problem needs research spend.Built by Lunover
- custom AI models
- fine-tuning services
- train model from scratch
- domain-specific AI models
- own your AI model
- custom LLM development
- model training consulting
- AI model feasibility
- inference pipeline development
- private model deployment
- AI model ownership
- custom machine learning models
- custom AI models
- fine-tuning services
- train model from scratch
- domain-specific AI models
- own your AI model
- custom LLM development
- model training consulting
- AI model feasibility
- inference pipeline development
- private model deployment
- AI model ownership
- custom machine learning models
Curious?
Start with AI Model Discovery. Two weeks, fixed fee, written recommendation at end. If answer is that you do not need us, we will say that.