Generative AI Development
Company
Custom generative AI applications that search your knowledge, draft content and power new product features — accurately, securely and at scale.
Generative AI can draft, summarize, search and reason across huge amounts of information. But off-the-shelf tools don't know your business, and unmanaged use puts your data at risk.
As a generative AI development company, Pixarsart builds LLM-powered applications grounded in your own data. We design retrieval (RAG) systems that cite sources, add guardrails and evaluations to keep answers accurate, and deploy securely in your cloud or through enterprise model agreements.
Faster
Workflow Execution
Better
Decision Support
Stronger
Operational Efficiency
Scalable
Application Performance












































Generative AI Development Services
Knowledge Assistants (RAG)
Answers from your documents, with citations.
Content Generation
Drafts for proposals, product copy and reports.
Document Summarization
Long documents turned into clear summaries.
AI Search
Natural-language search across your data.
Custom GPTs & Copilots
Assistants built into your team’s tools.
Generative AI in Your Product
AI features your customers use.
Fine-Tuning & Evaluation
Models tuned and tested for your use case.
Guardrails & Safety
Filters, policies and human review.
Why Build Generative AI
With Pixarsart
Grounded in your data
Answers based on your approved sources, with citations.
Evaluated before launch
Accuracy and safety tested on real questions.
Secure deployment
Enterprise model agreements or private hosting.
Model-neutral
OpenAI, Claude, Gemini or open-source, chosen per use case.







How We Build Generative AI Applications
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Step 1
Use case & data review
Goals, sources and success metrics
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Step 2
Architecture
Model, retrieval design and guardrails
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Step 3
Prototype
Working app on your real data
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Step 4
Evaluate
Accuracy, safety and cost testing
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Step 5
Productionize
UI, integrations, access control and monitoring
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Ongoing
Improve
Feedback loops and model updates
Generative AI Use Cases
Knowledge assistant
Proposal and report drafting
AI search
Support assistants
AI features in your SaaS
AI MVP
Pricing
GenAI Prototype
$15K – $35K
- 4–6 weeks
- RAG prototype on your data
Production GenAI App (Most popular)
$35K – $120K
- 2–4 months
- UI, integrations, evaluation, monitoring
Enterprise GenAI Platform
$120K+
- 4–9 months
- Multi-team, governance, private models
LLM Application Development,
End to End
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AI Integration
AI integration services -
Private LLMs
Private LLM deployment -
AI Agents
AI agent development
Generative AI Technologies










An AI development partner for companies that choose quality over the lowest quote
Great products come from the right partnership, and the right partnership starts with honest expectations. Pixarsart isn’t the right fit for every project. That focus is exactly why our clients trust us with the products their business depends on.
Buyers comparing only hourly rates
If the lowest hourly rate is your main decision factor, there are cheaper options out there. We price for outcomes – senior engineers, proper QA and on-time delivery – because rework and missed launches cost far more than a lower rate saves.
Small fixes and quick website updates
Pixarsart focuses on building and scaling apps, software and AI products. For quick website fixes, WordPress or Shopify updates and urgent repairs, our sister brand alley214 offers fast, fixed-price help.
Teams that want to manage every developer task
We work best as an accountable partner, not a pair of hands to direct line by line. You set the goals and priorities, our leads manage delivery, and you keep full visibility of progress in Kanbaan.
Projects without clear ownership on your side
Every successful build has a decision-maker who can review work and give timely feedback. If no one on your team can own the project, we’ll recommend starting with a short discovery workshop first.
Plan Your Generative AI App
Tell us about your app idea or existing product and we’ll review your requirements, recommend the right architecture, and provide a realistic timeline and cost range.
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Generative AI Development FAQs
What is RAG?
Retrieval-augmented generation lets an AI model answer using your documents, so answers are accurate and can cite sources.
Will our data be used to train public models?
No. We use enterprise agreements that don’t train on your data, or private deployment.
How do you stop AI from making things up?
We ground answers in your sources, add guardrails and test accuracy before launch.
How much does a generative AI app cost?
Prototypes start around $15K–$35K; production apps typically $35K–$120K.