AI that works for real users, not just in the demo.
We build AI features into products, AI apps from scratch, and AI workflows inside companies. Every one ships with a test set, cost limits and a fallback for when the model gets it wrong.
- AI feature in your product
- $5k – $8k, 2 weeks
- AI app from scratch
- $6k – $12k, 21 days
- Readiness audit
- $3.5k – $10k
- Every build includes
- Tests and guardrails
Who it’s built for.
- A product team that wants chat, search over documents, or a copilot inside an existing app
- A founder building an AI-first product who needs it production-grade
- An operations leader who wants one manual workflow automated and measured
- A team whose AI pilot worked in a demo but not with real data
Why most AI projects stall
Getting a model to answer a question is easy. Getting it to answer correctly for your data, at a cost you can afford, without leaking anything and without breaking when the model is updated, is engineering work. Most pilots stop at the first part.
We start every AI build with a test set of real examples, measure the feature against it, and keep it running in production. You can see the score improve, and you know when something regresses.
What’s included
In scope
- Use-case and data review before any build
- Retrieval over your documents and data (RAG), chat, summaries, classification or agents
- A test set of at least 20 real cases with automated scoring
- Guardrails: input limits, output checks, prompt-injection handling
- Cost per request and rate limits set
- Monitoring in production
Available as add-ons
- Custom model training or fine-tuning (quoted separately if needed)
- Labelling large datasets
- Enterprise procurement and security reviews beyond our standard answers
How it runs, week by week.
Pick the use case
We agree the one workflow or feature that matters most and how we’ll measure it.
Test set and baseline
Real examples collected, a first version running, and a score you can read.
Build and harden
Integrated into your product or tools, with guardrails and cost limits.
Live and monitored
In production with alerts. You get the test suite to keep using.
AI development pricing
Prices in US dollars.
| Factor | Effect on price |
|---|---|
| Number of data sources to connect | Each extra source adds $500 – $2,000 |
| Data that needs cleaning before use | Adds time, quoted after a look at samples |
| Strict data residency (UAE, Canada, EU) | Usually no change; hosted in your region |
| Agentic workflows that take actions | Adds approval steps and testing, $1,000 – $3,000 |
Paid in milestones: 50% to start, 40% when you can use it on staging, 10% at launch (40/40/20 on larger projects). Prices are set for each market, not converted at the day’s exchange rate.
Questions, answered.
Which AI models do you use?
Whichever fits the task and your data rules: commercial models from the major providers or open models you host yourself. We design so you can switch later.
Is our data used to train anyone’s model?
No. We use provider settings that exclude your data from training, and everything runs in your own accounts.
How do we know the AI is accurate enough?
Every build has a test set of real examples with a score. We agree the target before we start.
What does it cost to run?
We set a cost per request during the build and show it to you. Most features cost cents per use.
Your v1 could be live next month.
Tell us what you are building. Get a fixed scope and price in writing within 24 hours.
Prefer email? hello@v1build.com