Enterprise AI systems in production
What we deliver
Custom AI agents
Autonomous agents that handle complex workflows—customer support, document processing, and decision-making at scale.
Custom LLM solutions
Fine-tuned models trained on your domain data. On-premise deployment available for regulated industries.
RAG & vector search
Retrieval-augmented generation grounded in your knowledge base, powered by semantic search on Pinecone, Weaviate, or pgvector.
AI Voice & Vision
Speech-to-text, text-to-speech, and computer vision pipelines. Build voice interfaces, document intelligence, and image-aware AI systems.
MLOps & orchestration
Production ML pipelines with monitoring, A/B testing, model versioning, and automated retraining.
AI infrastructure
GPU-optimized serving, edge inference, and cost-efficient scaling for high-throughput AI workloads.
Our approach
AI audit
We evaluate your data, workflows, and use cases to identify where AI creates measurable value—not just novelty.
Prototype
Working proof-of-concept in weeks, not months. Validated against your real data with measurable accuracy benchmarks.
Scale
Production hardening: monitoring, guardrails, fallback chains, and cost optimization for enterprise-grade reliability.
Operate
Continuous model improvement, drift detection, and retraining pipelines. Your AI gets smarter after deployment.
Technologies we use
Ready to put AI in production?
Tell us about your use case. We'll tell you what's realistic and what's hype.
Talk to our AI engineers