We architect and ship
production AI systems.

LLM/RAG pipelines, voice AI, multi-agent systems, and computer vision — built for real load, real edge cases, and real business pressure. Not demos. Not prototypes. Systems that run.

Delivered results
75%
Voice AI latency reduction — response time from 12s to 3s
40%
Threat detection accuracy boost via LLM-powered pipeline
93%
Faster data processing — 15 min to 10 sec
30%
Manual workflow reduction through LLM automation
What we build

RAG systems

Production retrieval pipelines with hybrid search, re-ranking, and evaluation. Built to stay accurate at scale.

Voice AI

End-to-end voice assistants — speech-to-text, LLM reasoning, text-to-speech — optimised for sub-3-second latency.

Multi-agent systems

Orchestrated AI workflows with LangChain, LlamaIndex, and production-grade observability via LangSmith.

Computer vision

Real-time object detection on edge hardware. YOLO-based systems deployed across multi-camera setups in all conditions.

Stack
LangChain · LlamaIndex · FastAPI · Qdrant · Pinecone · Weaviate · OpenAI · Claude · Deepgram · ElevenLabs · YOLO · OpenCV · PyTorch · TensorFlow · MLflow · LangSmith · Docker · Kubernetes · AWS · GCP · Azure · Terraform
Domains served
Healthcare · Cybersecurity · Marketing · SaaS · Surveillance · Logistics · Gaming
Founder
IP

Ihor Pochechuiev

Lead AI Engineer · 17 years Python

Previously built the AI layer for a cybersecurity platform (Munit.io), led engineering teams at EsMedia and Wargaming, and founded GrainTrack from scratch. Now running an independent AI engineering practice serving clients across healthcare, SaaS, and surveillance.

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We work with teams that have high standards — where architecture matters and shipping doesn't mean cutting corners.

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