AI Integration Services
AI Integration & LLM Development
We integrate powerful AI — GPT-4, Claude, Gemini, and custom models — directly into your existing product or engineer AI-native applications from scratch. Real AI, real results.
Our AI Services
Full-Stack AI Engineering — From Model to UI
We handle every layer of the AI stack — from model selection and prompt engineering to production infrastructure and user-facing interfaces.
LLM API Integration
OpenAI GPT-4o, Claude 3.5, Gemini, and open-source models integrated into your product with streaming, caching, and cost controls.
AI Agent Development
Autonomous AI agents with tool-calling, memory, and multi-step reasoning — built with LangChain, LangGraph, or custom orchestration.
RAG System Design
Retrieval-Augmented Generation pipelines with vector databases (Pinecone, pgvector, Qdrant) for AI that knows your business data.
AI Workflow Automation
Automate complex business workflows — document processing, email parsing, CRM enrichment, and report generation with LLMs.
Fine-Tuning & Custom Models
Domain-specific model fine-tuning on your proprietary data for higher accuracy and lower inference costs than off-the-shelf APIs.
AI-Powered Search
Semantic search, natural language querying of databases, and AI-driven product discovery experiences for your end users.
Use Cases
AI Integration Across Industries
We have delivered AI solutions across SaaS, e-commerce, healthcare, legal, and finance verticals.
SaaS Products
- AI writing assistant features
- Smart onboarding automation
- Predictive churn prevention
- AI-powered data analytics
E-Commerce
- Product recommendation engines
- AI customer support chatbots
- Automated catalog descriptions
- Visual search
Healthcare
- Medical document summarization
- Clinical note generation
- Patient intake automation
- HIPAA-compliant AI systems
Legal & Finance
- Contract analysis & review
- Regulatory compliance screening
- Financial report generation
- Risk assessment automation
FAQ
Common Questions About AI Integration
How do you integrate AI into an existing product?
We start with a 1-week technical discovery to audit your current stack and identify the highest-ROI integration points. We then build API middleware, prompt engineering layers, and UI components incrementally — minimizing disruption to your existing users.
Which AI models do you work with?
We have production experience with OpenAI GPT-4o, Anthropic Claude 3.5, Google Gemini, Mistral, and self-hosted open-source models (LLaMA 3, Phi-3). We recommend the right model based on your latency, cost, and privacy requirements.
How do you handle data privacy with AI integrations?
We can route sensitive data through privacy-preserving techniques (data masking, PII redaction) or use self-hosted models on your own infrastructure for full data sovereignty — no data leaves your servers.
How much does an AI integration project cost?
The integration cost depends entirely on the size, scope, and complexity of your platform and the AI models required. We calculate the effort needed for your specific features and provide a detailed custom proposal based on your system's exact requirements. Please use the contact form below to get a precise estimate.
What is a RAG system and do I need one?
Retrieval-Augmented Generation (RAG) lets your AI accurately answer questions about your specific business data — documents, knowledge bases, customer records — instead of relying on general training data. If your users need AI to understand YOUR data, you need RAG.
Ready to Add AI to Your Product?
Share your use case and we'll respond within 24 hours with a concrete technical approach — model recommendations, architecture, and realistic cost estimates.
Get a Free AI Consultation