Technologies

Full-Stack AI, Full Control

Full-stack capability extends from GPU kernels to user interfaces. Using dedicated servers for sensitive research and the cloud for scaling, we cover every layer: AI, MLOps, backend, frontend, and infrastructure.

AI/ML

PyTorch, Hugging Face ecosystem, CUDA, LangChain, LangGraph

MLOps

MLflow, Triton, vLLM, Arize Phoenix

Backend

Python, Java, FastAPI, Spring Boot

Frontend

React, Next.js, TypeScript

Databases

PostgreSQL, ElasticSearch, Neo4j, pgvector

Infrastructure

Docker, Kubernetes(RKE2), Prometheus, Grafana

Communication

HTTPS, gRPC, WebSocket, Message Brokers (Kafka, Redis)

From Lab to Market

Every project follows our proven methodology: research, prototyping, iterative development, and production-hardened deployment. This approach ensures our solutions are both innovative and reliable.

With our combination of research excellence, engineering expertise, and dedicated infrastructure, we create competitive advantages.

Research & Discovery

Exploring novel approaches and validating hypotheses

Prototype Development

Building proof-of-concepts with measurable success criteria

Product Engineering

Transforming prototypes into scalable solutions

Deployment & Integration

Seamless production deployment with monitoring

Continuous Innovation

Iterating based on real-world performance and feedback

Why can we do that?

Own GPU

infrastructure ensuring data sovereignty and computational independence

Multidisciplinary team

from AI researchers to full-stack developers

Production-proven

products already transforming businesses

Research-to-market

expertise bridging academia and industry

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