Add AI to Your Product — Without the Complexity
We integrate LLMs, RAG systems, and intelligent automation into your existing software.
Book a Free AI AuditWhat We Build
Six core AI capabilities we integrate into your products and workflows.
AI-Powered Chatbots & Assistants
Custom conversational AI embedded in your product, connected to your knowledge base via RAG with multi-turn context awareness.
- Custom conversational AI embedded in your product
- Connected to your knowledge base via RAG
- Multi-turn conversations with context awareness
- Built on Claude, GPT, or open-source models
Intelligent Search & Discovery
Semantic search across documents, databases, and APIs with natural language queries returning cited, ranked results.
- Semantic search across documents, databases, and APIs
- Natural language queries returning cited, ranked results
- Vector embeddings + hybrid search for precision
- Powers 'Ask your data' interfaces
Document Processing & Extraction
Automated extraction from PDFs, contracts, invoices, and reports with structured output.
- Automated extraction from PDFs, contracts, invoices, reports
- Structured output: tables, summaries, key fields
- Classification, routing, and tagging at scale
- Reduce manual data entry by 80%+
Recommendation Engines
Personalized content, product, or action recommendations built on user behavior and AI understanding.
- Personalized content, product, or action recommendations
- Built on user behavior + AI understanding
- Real-time or batch processing
- A/B testable recommendation strategies
AI Workflow Automation
Replace manual review, triage, and routing with AI agents that integrate with your existing tools.
- Replace manual review, triage, and routing with AI agents
- Email classification, ticket routing, content moderation
- Multi-step workflows with human-in-the-loop options
- Integrates with existing tools (Slack, Jira, email)
RAG Systems
Connect LLMs to your proprietary data with vector databases, embedding pipelines, and enterprise-grade security.
- Connect LLMs to your proprietary data
- Vector databases, embedding pipelines, retrieval optimization
- Grounded answers with source citations
- Enterprise-grade security and access control
Our AI Stack
We work with the best tools in the AI ecosystem.
LLMs
- GPT-4o
- Claude 3.5
- Llama 3
- Mistral
Vector DBs
- Pinecone
- Weaviate
- Qdrant
- ChromaDB
Frameworks
- LangChain
- LlamaIndex
- Semantic Kernel
- Haystack
Infrastructure
- AWS Bedrock
- Azure OpenAI
- GCP Vertex AI
- Self-hosted
How an AI Integration Project Works
From discovery to deployment in 4-8 weeks.
Week 1: Discovery & Data Audit
Understand your data, systems, and goals
Week 2-3: Architecture & Prototype
Build a working proof-of-concept
Week 4-6: Production Build
Full integration, testing, optimization
Week 7-8: Deploy & Monitor
Launch, performance tuning, handoff
Pricing Guidance
Transparent pricing based on project scope.
Starter
Single AI feature, simple integration, 2-4 week delivery
- One AI-powered feature
- Basic integration with your stack
- 2-4 week delivery
- 30 days post-launch support
Growth
Multiple features, RAG system, 4-8 week delivery
- Multiple AI features
- Full RAG system setup
- 4-8 week delivery
- 90 days post-launch support
- Performance optimization
Enterprise
Full AI platform, custom agents, ongoing support
- Full AI platform build
- Custom AI agents & workflows
- Ongoing support & optimization
- Dedicated project manager
- SLA & priority support
Frequently Asked Questions
Common questions about our AI integration services.
How long does an AI integration take?
What if we don't have clean data?
Can you work with our existing codebase?
Do you provide ongoing support?
What about data privacy?
Ready to Add AI to Your Product?
Book a free consultation and let's explore what AI can do for your business.
Book Free Consultation