AI that survives Monday.
AI software development that works on your real data, not just in demos.
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Senior engineers
No juniors. No middlemen.
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Fixed price
Overruns are on us.
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Live in weeks
Weekly demos on staging.
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You own the code
100% of the IP, day one.
Yarify is an AI software development company that builds production AI: LLM integration, retrieval over your own documents (RAG), data extraction, classification, AI agents with clear limits and computer-vision tools. Every system ships with an evaluation set on your real data, human review where mistakes are costly, cost monitoring and GDPR-aware data handling. Market data puts LLM integration into an existing product at roughly $15k–$60k over 3–8 weeks.
Demo to production, measured
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Your data
Grounded answers with sources
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Evaluation set
Accuracy measured, not guessed
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Human review
Where mistakes are costly
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Cost and latency
Monitored per request
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GDPR-aware
Minimal personal data
What our LLM integration services cover
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Search over your documents
RAG that answers from your files and cites the source.
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Data extraction
Invoices, contracts and forms turned into structured records.
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AI features in your product
Drafting, summarising, classifying, built into the app your users already have.
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Agents with limits
Multi-step automation with clear permissions and a human in the loop.
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Computer vision
Image tools like room staging for furniture retailers.
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Regulated AI
Traceability and oversight for hospitals and other regulated teams.
How we build production AI
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Feasibility check · Day 1
Free call. Is this an AI problem at all? We tell you.
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Data and evaluation first · Week 1–2
Real examples become the scorecard before any prompt is written.
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Prototype against the scorecard · Early weeks
Models and approaches compared on your data.
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Production build · Weekly
Integration, permissions, fallbacks, weekly demos.
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Launch and monitor · Launch
Accuracy, cost and latency tracked after release.
Fixed price. We eat the overruns.
For fixed-scope AI projects, the quoted price for the agreed written scope is the price you pay. If our estimate was wrong, the extra hours are our cost. Changes you request are quoted separately before work starts.
See AI development costsAI demo vs production AI
The demo
- Works on five hand-picked examples
- Nobody knows the accuracy
- Personal data sent anywhere
- Cost per request unknown
- One provider, hard-wired
What we ship
- Tested on an evaluation set from your data
- Accuracy tracked on every change
- Data flows documented, GDPR-aware
- Cost and latency monitored
- Provider can be swapped later
What AI development costs
Vendor data: LLM integration into an existing product runs roughly $15k–$60k over 3–8 weeks. Complex AI products reach $50k–$300k+. Regulated industries add 20–40%.
Data preparation, integration and evaluation often cost more than the model. Full breakdown: AI development cost.
AI software we have shipped
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Medical AI That Drafts. Clinicians Decide.
AI software for a hospital: LLM-drafted clinical documents and imaging-report text, mandatory clinician review, full audit logs, GDPR health-data handling and an on-prem or private-cloud deployment option.
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See Our Sofa in Your Living Room
AI virtual staging for a furniture retailer: catalogue ingestion, room analysis, perspective-aware placement of real products, generative compositing, shopper UI and lead capture.
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Cold Outreach That Stays Out of Spam
Custom cold outreach and email campaign platform: multi-step sequences, SPF/DKIM/DMARC checks, inbox warm-up and rotation, LLM-personalised first lines, reply detection and campaign analytics.
Questions buyers ask us
How much does it cost to integrate an LLM into my product?
Market data puts LLM integration into an existing product at roughly $15k–$60k over 3–8 weeks, depending on data preparation, integrations, evaluation and compliance. We give a fixed written quote after a free call, and our estimation overruns on agreed scope are our cost.
How do you stop the AI from making things up?
You cannot make a model perfect, but you can make it measurable. We ground answers in your data with citations, restrict what it may answer, track accuracy on an evaluation set and route uncertain cases to a human. Every change is re-tested.
Is our data safe and GDPR compliant with LLMs?
We design for it: minimal personal data sent to models, deliberate provider and region choice, no training on your data where avoidable, retention rules and documented data flows. We are not a law firm, so we work with your DPO on formal compliance.
Which AI models and providers do you work with?
We are provider-agnostic: major commercial LLM APIs, and open-source models where self-hosting makes sense for cost or privacy. The choice is made on your evaluation set, and we design so you can switch providers later.
Can you build AI for healthcare or other regulated industries?
Yes. We have built AI software for hospitals, where traceability, human oversight and data protection come first. Regulated projects need more evaluation and documentation. We do not claim certifications we do not hold; we work with your compliance team.
Do we need our own data to build an AI feature?
You need examples of good output, even a few dozen to start. They become the evaluation set. For RAG you need the documents the AI should answer from. Fine-tuning is often unnecessary. We assess what you have on the first call.
Keep reading
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AI app development cost
What AI apps and LLM integrations cost in 2026: build ranges, the cost to integrate an LLM into an existing product, token and monitoring costs, and worked examples.
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AI developers
Senior engineers who ship LLM features, RAG search and agents into real products, with evaluations, guardrails and cost control. Monthly augmentation or a fixed-price AI build.
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Healthcare
Clinical tools, patient portals and medical AI software with audit logs, consent handling and human-in-the-loop review designed in from the first sprint.
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Medical AI That Drafts. Clinicians Decide.
AI software for a hospital: LLM-drafted clinical documents and imaging-report text, mandatory clinician review, full audit logs, GDPR health-data handling and an on-prem or private-cloud deployment option.
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Custom software development
Internal tools, client portals, CRM and ERP integrations, and workflow automation. Built by senior engineers on a fixed written quote, owned by you.
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Marketing technology
Email outreach and campaign platforms, content automation pipelines and SEO and AI-search audit tools, built by engineers who have shipped all three.
Your AI demo works. Let’s make it work on Monday.
A free call with an engineer who ships production AI. An honest feasibility check and a fixed written quote.