Prompt-tuned
from
AED 16,000
Fast, no retraining, evaluated against your own test set.
- Prompt engineering & testing
- Evaluation harness included
- Works with any base model
- Cost & latency benchmarks
- 2–3 week delivery
Models tuned to your voice, not the internet's.
Fine-tuned and prompt-tuned models that sound like you and know your domain cold.
What's included
Everything in the base build.
No upsell tiers. Every deliverable ships in the base price you sign for.
8
Get the full scope in writingdeliverables, zero add-ons
all in the quote you sign
Base build
Discovery workshop
use cases ranked by ROI
Working prototype
built on your own data
Production-grade build
tested against edge cases
Human-in-the-loop option
where accuracy matters most
Usage dashboards
cost and performance visibility
Data privacy review
your data stays yours
Documentation & handover
prompts, configs, and docs
2 weeks of tuning
included after launch
Types we build
Pick the level of tuning you need.
Every level trades off cost, speed, and how deeply the model knows your domain.
Prompt-tuned model
Typical timeline
2–3 weeks
Typical approach
Prompt engineering
What's specific to this type
- Fast to ship, no retraining
- Evaluated against your test set
- Works with any base model
How it goes
Four steps, no black box.
Scroll to step through the build ↓
Step 01 / 04
Kickoff call
A focused call to lock the use case, data sources, and a fixed quote. No open-ended discovery retainer. You leave with a written scope before anything starts.
You get
a written scope and a fixed quote
It starts with one call.
Thirty minutes to a scope, a quote, and a fixed launch date.
Built on
What we reach for tuning models to your domain.
OpenAI fine-tuningAnthropicHugging FacePythonWeights & Biases
Pricing
Starting prices, in the open.
Real numbers, not "contact us for pricing." Your final quote depends on scope and integrations. You'll have it in writing within 48 hours.
Fine-tuned model
from
AED 40,000
Trained on your own examples, evaluated before it ships.
- LoRA or full fine-tune
- Trained on your own data
- Scored on your eval set
- Version-controlled releases
- 4–6 week delivery
Custom-trained + eval pipeline
from
AED 110,000
A full training and evaluation pipeline, built to keep improving.
- End-to-end training pipeline
- Continuous evaluation
- Automated regression checks
- Priority support
- 8–12 week delivery
What we can build
What tuning changes in practice.
Illustrative concepts, not real client projects, just a quick read on how we approach this.
Voice & tone match
Fine-tuned to sound like your brand, not a generic assistant.
Domain vocabulary
Understands your industry's terms and shorthand out of the box.
Eval dashboard
Every model version scored against your own test set.
Questions
Custom LLM and Fine-Tuning, answered.
No. We use your data only to build your system, on infrastructure you control. Nothing is used to train third-party models, and you can delete it on request.
You pay API usage directly (OpenAI, Anthropic, or whichever model fits), usually a few hundred dollars a month for a typical deployment. We size that with you before build, no surprise bill.
A prompt-tuned model in 2–3 weeks, a fully fine-tuned model in 4–6.
Rarely, and only when it's genuinely justified. Most projects fine-tune or prompt-tune an existing base model, it's faster, cheaper, and good enough for almost every use case we see.
We score every version against your own evaluation set before it ships, not a generic benchmark.
A clear, proven process
Fine-tuned.
Not off-the-shelf.
SFT, DPO, evals, deploy. Fixed quote in 48 hours, checkpoints staged every week until live.
The processbrief → first staging build in ~2 weeks
01Send the briefWhat you’re building, in a paragraph.5 min
02Get a fixed quoteScope, price, and date, locked.48 hrs
03Watch it take shapeA new build to staging every week.weekly
04Ship to productionLive, handed over, and supported.live
team onlineavg reply 1h 47m