Custom GPTs & LLM Integration: AI That Knows Your Business
AI assistants trained on your data. documentation, knowledge base, product catalog, support history. RAG systems, fine-tuned models, and enterprise-grade security.
Custom GPT & LLM Services
From simple custom GPTs to enterprise RAG systems with fine-tuned models and private deployment.
Custom GPT & AI Assistant Development
- Custom GPTs for the ChatGPT store or standalone applications
- Built on OpenAI Assistants API, Claude API, or open-source models
- Multi-turn conversational design with context retention
- Integration with Slack, Teams, website, or mobile app
- Role-based access and usage analytics dashboards
RAG System Development
- End-to-end RAG pipeline: ingestion, chunking, embedding, retrieval, generation
- Vector database: Pinecone, Weaviate, Chroma, or pgvector
- Multi-source connectors: PDFs, wikis, CRM, databases, Slack, email
- Hybrid search (semantic + keyword) for maximum accuracy
- Citation and source tracking on all AI responses
LLM Fine-Tuning & Custom Model Training
- LoRA and QLoRA fine-tuning for cost-effective customization
- Training data preparation, cleaning, and augmentation
- GPT-5, Llama, Mistral, or custom model fine-tuning
- Private deployment (no data sent to third-party APIs)
- Ongoing monitoring and retraining schedules
AI-Powered Internal Tools & Dashboards
- Dashboards with natural-language metric summaries
- Document processing: extraction, classification, summarization
- Natural language database querying for non-technical users
- Workflow automation with AI routing and prioritization
API Integration & System Architecture
- OpenAI and Anthropic API integration into existing apps
- Webhook and event-driven architectures
- Authentication integration (SSO, OAuth, API keys)
- Rate limiting, caching, and cost optimization
- Multi-model orchestration based on complexity and cost
Technologies & Frameworks
Data Privacy & Security
Privacy is not a feature we add at the end. It is an architectural requirement we design around from the start.
Private Deployment
AI runs on your infrastructure. No data leaves your environment.
Encryption Standards
AES-256 at rest, TLS 1.3 in transit for all data.
Access Controls
Role-based access integrating with SSO, LDAP, and Active Directory.
Audit Logging
Every query and response logged with configurable retention.
Compliance
HIPAA, SOC 2, GDPR, and CCPA alignment validated during security review.
No Training on Your Data
Third-party APIs configured so your data is never used for model training.
From Concept to Production-Grade AI
Discovery & Use Case Definition
Business-first analysis identifying where custom AI generates the highest measurable impact.
Data Assessment & Architecture
Audit data sources, design RAG vs. fine-tuning approach, model selection, and security controls.
Knowledge Base Construction
Build ingestion pipeline: cleaning, chunking, embedding, and vector database optimization.
AI System Development
Build conversational interface, retrieval logic, response generation, citations, and business logic.
Testing & Security Review
Accuracy, relevance, safety, and performance testing. Security validation for access controls and compliance.
Deployment & Continuous Improvement
Go live with monitoring, query analytics, feedback collection, and regular knowledge base updates.
Custom GPT & LLM Pricing
Starter
$997 - $3,000
Focused AI assistant for a specific use case
- Custom GPT or assistant on OpenAI/Anthropic API
- Knowledge base from up to 500 documents
- Web widget, Slack, or Teams deployment
- Basic analytics dashboard
- 30 days post-launch support
Growth
$3,000 - $8,000
Full RAG system with multiple data sources
- Full RAG architecture with vector database
- Multi-source data connectors (CRM, docs, wikis, DBs)
- Hybrid search with citation tracking
- API integrations with up to 3 business systems
- Role-based access control
- 90 days optimization and support
Enterprise
$8,000+
Fine-tuned models with private deployment
- Custom model fine-tuning (LoRA/QLoRA)
- Private cloud deployment: zero third-party data exposure
- Multi-department with role-specific configurations
- HIPAA/SOC 2 compliance and audit logging
- Multi-model orchestration
- Dedicated AI engineering team