From Discovery to Production
Accelerate your AI journey with expert guidance and hands-on implementation. We help enterprises seamlessly integrate AI into their processes and products, transforming early-stage PoCs and MVPs into secure, compliant, production-ready systems that deliver real business value. Our proven execution model: Discovery (1-2 weeks), MVP Build (4-6 weeks), Production & Integration, and Upskilling & Hand-off.
Our Services
Knowledgebase Integration
Transform your enterprise data into intelligent knowledge systems with RAG architectures, vector databases, and semantic search—enabling AI to access and reason over your proprietary information
Custom AI Workflows
Design and deploy tailored agentic workflows that automate complex business processes—from document processing and data extraction to intelligent decision-making and multi-step orchestration
Voice Agent Integration
Implement sophisticated voice AI solutions powered by our Imantix Echo platform or custom integrations—bringing conversational intelligence to customer service, support, and internal operations
AI Agent Development
Build intelligent agents that perceive, reason, and act autonomously—leveraging LLMs, tool-calling, memory systems, and multi-agent coordination for sophisticated problem-solving capabilities
Security & Compliance
Ensure your AI solutions meet enterprise security standards and regulatory requirements—implementing data privacy, model governance, audit trails, and compliance frameworks (GDPR, SOC 2, ISO 27001)
PoC to Production
Transform your vibe-coded prototypes and MVPs into robust, scalable production systems—with proper architecture, testing, monitoring, CI/CD pipelines, and enterprise-grade infrastructure
Quality Assurance & Testing
Implement comprehensive testing strategies for AI systems including prompt testing, hallucination detection, performance benchmarking, and continuous evaluation pipelines
Performance Optimization
Optimize AI solution performance with prompt engineering, model fine-tuning, caching strategies, cost optimization, and efficient resource utilization for scalable deployments