Intelligent Model Routing
We benchmark across 13+ LLMs and route each task to the optimal model based on accuracy, cost, and latency. Most workloads don't need frontier models — our approach delivers comparable results at a fraction of the cost.
Multi-Agent AI Architecture
Our multi-agent system orchestrates specialized AI agents that work together to automate complex business workflows. Each agent handles a specific task — from document parsing to data categorization to decision-making — reducing manual labor while improving speed and accuracy. The stack runs on Go services backed by PostgreSQL, exposed to AI clients through Model Context Protocol (MCP) servers.
Multi-Agent AI Architecture
Our multi-agent system orchestrates specialized AI agents that work together to automate complex business workflows. Each agent handles a specific task — from document parsing to data categorization to decision-making — reducing manual labor while improving speed and accuracy. The stack runs on Go services backed by PostgreSQL, exposed to AI clients through Model Context Protocol (MCP) servers.
How it works
How Our Technology Works
Purpose-built AI pipelines that prioritize reliability, cost-efficiency, and real-world performance over hype
Document Understanding
Our vision LLMs process any document layout — invoices, contracts, handwritten notes, product labels — without templates. A single model handles angled photos, low light, and mixed text and tables with 99%+ parsing success.
Multilingual AI Processing
Language-specific model selection handles French, English, Arabic, and code-switching scenarios. Our pipelines process mixed-language voice notes and documents with near-native accuracy.
RAG & Knowledge Systems
Retrieval-Augmented Generation connects AI to your company's knowledge base, past communications, and regulatory information — delivering accurate, context-aware answers grounded in your data.
Built for Production, Not Demos
We measure what matters in production: reliability across runs, cost per accuracy point, and real-world variance — not just average benchmark scores. Every AI decision includes an explanation and confidence score, so your team always understands the reasoning.
- Production reliability tested across 10+ runs per model — we measure variance, not just averages
- Explainable AI: every prediction includes reasoning and confidence scores for human review
- Cost-optimized routing achieves comparable accuracy at up to 1/65th the cost of premium models
Data Privacy and Security
Your data never leaves your control. We deploy on your infrastructure or on dedicated servers managed by REFLEKT LAB, ensuring sensitive information stays within your security perimeter.
- Deployed on client servers or dedicated cloud infrastructure managed by REFLEKT LAB
- Open-source models run on your own infrastructure for full data control
- GDPR compliant data handling and storage practices
- End-to-end encryption of data in transit and at rest
Seamless Integration
Our solutions connect to the tools your teams already use — no rip-and-replace required. API-first architecture ensures smooth deployment with zero disruption to existing workflows.
- Integrates with existing ERP, CRM, ATS, and document management systems
- API-first architecture for connection to any platform
- Zero disruption to current workflows during deployment
- Support for custom data formats and legacy systems
We share what we run
We run Kubernetes in production, and we open-sourced our full 22-hour course to teach it: 11 hands-on sessions, a real app on a local cluster, Terraform to GKE, secrets and CI/CD. Free under CC BY-NC.
Curious how the pipeline works under the hood?
We'll walk you through the architecture and show you how it handles your specific data challenges.
