Services
AI Integration
Automate workflows and unlock new revenue streams with custom AI, LLM integrations, and intelligent automation.
Start a ProjectMost companies know AI can help them but have no idea where to start. We bridge that gap.
We build production grade AI integrations, not demos, not prototypes. Real systems that handle real traffic, fail gracefully, and actually save money.
Our AI integration work spans the full spectrum: large language model orchestration with OpenAI, Anthropic, and open source models; retrieval augmented generation (RAG) pipelines for knowledge bases; computer vision for quality inspection and document processing; intelligent automation that replaces repetitive manual workflows; and AI powered analytics that surface insights humans miss.
We handle the hard parts most teams skip: prompt engineering that stays reliable at scale, token cost optimization that keeps your bill sane, fallback chains so your app does not break when an API goes down, and evaluation frameworks so you know when your AI is actually getting better.
Every integration we build comes with monitoring, cost tracking, and a clear path to iterate. AI moves fast, your system should be built to evolve with it.
Case Study
See it in action: Traderly.gg
Full stack gaming marketplace across the App Store, Android, and desktop. Real time trading, payments, and 100K+ active users.
“VELD took our concept and shipped a full cross platform app to the App Store, Android, and desktop. The speed and quality honestly caught us off guard. Our users love it.”
, Traderly Team, Founder
FAQ
Common Questions
How long does a typical AI integration take?
Most integrations take 4-8 weeks from kickoff to production. Simple API integrations (chatbots, content generation) can ship in 2-3 weeks. Complex pipelines (RAG, multi model orchestration, fine tuning) take 8-12 weeks.
Do you work with specific AI providers?
We are provider agnostic. We work with OpenAI, Anthropic, Google, Mistral, and open source models. We recommend the best fit for your use case, budget, and data privacy requirements, not whoever pays us a referral fee.
What about data privacy and security?
We design every integration with data privacy as a first class concern. This includes on premise deployment options, data anonymization pipelines, and ensuring compliance with your industry regulations (HIPAA, SOC 2, GDPR).
How much does AI integration cost?
Projects typically range from $20K-$80K depending on complexity. A focused API integration starts around $20K. A full RAG pipeline with custom fine tuning is $50K+. We provide a detailed estimate after a free discovery call.
From the Blog
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We take on a handful of projects at a time. Tell us about your ai integration needs and get an assessment within 24 hours.