Custom AI Systems

Deploy fully customized AI solutions on your own infrastructure—powered by open-source LLMs or OpenAI—with full data control.

Custom AI system architecture diagram

What We Can Build

Deployment Options

🏠 On-Premises

Your own servers, complete control over data and processing. Perfect for sensitive information and compliance requirements.

☁️ Cloud-Based

Scalable cloud deployment with managed infrastructure. Quick setup and automatic scaling as needed.

🔗 Hybrid

Combine local processing for sensitive data with cloud services for heavy computation and advanced features.

Real-World Applications

Legal Practice: Contract Analysis

AI system that reviews contracts, identifies key terms, flags potential issues, and summarizes risks. Processes 100+ page documents in minutes instead of hours.

Healthcare: Patient Data Intelligence

Analyzes patient records, treatment histories, and symptoms to assist with diagnosis suggestions and treatment planning while maintaining HIPAA compliance.

Manufacturing: Quality Prediction

Monitors production data to predict equipment failures, optimize maintenance schedules, and ensure consistent product quality.

Financial Services: Risk Assessment

Evaluates loan applications, investment opportunities, and financial portfolios using complex multi-factor analysis in real-time.

Technologies We Use

AI Models:
• Local: Llama 3, Mistral, CodeLlama, Alpaca
• Cloud: OpenAI GPT-4, Claude, Gemini
• Specialized: Whisper (audio), YOLO (vision), BERT (text)

Frameworks:
• LangChain, LlamaIndex for AI orchestration
• PyTorch, TensorFlow for custom models
• Ollama, vLLM for local model serving

Infrastructure:
• Docker containers for portable deployment
• Kubernetes for enterprise scaling
• Vector databases (Pinecone, Weaviate, Chroma)
• API gateways and security layers

Perfect For

Development Process

  1. Discovery & Strategy: Deep dive into your business needs, data, and objectives
  2. Architecture Design: Plan the AI system architecture, data flow, and integration points
  3. Proof of Concept: Build a working prototype to validate the approach
  4. Data Pipeline: Set up data collection, cleaning, and preparation workflows
  5. Model Development: Train or fine-tune AI models for your specific use case
  6. System Integration: Connect with your existing tools and databases
  7. Testing & Validation: Comprehensive testing with real data and edge cases
  8. Deployment & Monitoring: Launch with performance tracking and alerting
  9. Training & Support: Team training and ongoing maintenance

Security & Compliance

Investment

Discovery & Strategy: $2,500-$5,000

Proof of Concept: $5,000-$15,000

Full System Development: $15,000-$100,000+

Ongoing Support: $500-$5,000/month

Pricing varies based on complexity, data volume, and deployment requirements. Most ROI is achieved within 6-18 months through efficiency gains.

Serving Forward-Thinking Organizations

We partner with businesses across Colorado and beyond to implement cutting-edge AI solutions:

Remote collaboration available for projects nationwide

Common Questions

How long does development take?

Simple systems: 2-4 months. Complex enterprise solutions: 6-12 months. We provide regular updates and working prototypes throughout.

Do we need our own AI expertise?

No! We handle all the technical complexity. We'll train your team on using and maintaining the system.

Can it work with our existing software?

Yes, we specialize in integration. We can connect to databases, CRMs, ERPs, and virtually any system with an API.

What about data privacy?

Your data stays yours. Local deployments keep everything on your infrastructure. We can also use privacy-preserving techniques.

How do you handle model updates?

We provide managed updates for cloud systems and migration assistance for local deployments as new models become available.

What if the AI makes mistakes?

We implement human oversight, confidence scoring, and fallback procedures. The system is designed to augment, not replace, human judgment.