Best-in-class standards, applied in production
For each capability: what the best teams treat as the standard, and how we implement it in our products.
Our stack
- LangGraph
- FastMCP
- OpenAI
- Anthropic
- Gemini
- Groq
- Ollama
- ChromaDB
- LiveKit / WebRTC
- Vapi
- YOLOv8
- ONNX Runtime
- OR-Tools CP-SAT
- ROS 2
- PX4
- Gazebo
- SmolVLA
- RabbitMQ
- Socket.IO
- Docker
- Python 3.11+
- Django + React
- LaTeX / Beamer
A modular architecture
A modular, production-grade architecture designed for reliability, security and scale.
Data engine and ingestion
Structured and unstructured data pipelines: PDF parsing, web scraping, vector embeddings and search indexes.
- ETL
- Embeddings
- ChromaDB
Model selection and fine-tuning
Multi-provider LLM orchestration across OpenAI, Anthropic, Gemini and Groq, with model evaluation and prompt engineering built in.
- Multi-LLM
- Benchmarking
- Prompt engineering
Agentic workflow engine
LangGraph-powered autonomous agents with real tool calling, memory and human-in-the-loop governance for complex multi-step tasks.
- LangGraph
- Tool calling
- HITL
Secure deployment and API
Containerized microservices with REST APIs, WebSocket real-time updates, role-based access control and end-to-end encryption.
- Docker
- REST / WS
- RBAC
What we build
End-to-end AI solutions, from research prototype to production deployment.
AI for research and publishing
Automated manuscript review, journal recommendation and academic writing enhancement powered by large language models.
- Peer review
- Journal matching
- Writing AI
AI for education and assessment
Multi-model exam grading, secure proctoring with 9 security modes and ABET-compliant learning outcome tracking.
- AI grading
- Proctoring
- Accreditation
AI for intellectual property
Patent lifecycle management from invention disclosure to filing-ready package, with AI-assisted prior art search and claims drafting.
- Patent drafting
- Prior art
- IP analytics
AI for talent and recruitment
Semantic CV-job matching across 300+ criteria, AI video interviews with behavioral analysis and automated candidate pipelines.
- CV matching
- Video interview
- HR automation
Agentic AI and automation
Autonomous AI agents that handle code review, issue triage, email routing and daily reporting, with real tool calling.
- AI agents
- LangGraph
- Workflow
Conversational and voice AI
Real-time voice agents and conversational assistants powered by RAG, tool integration and WebRTC streaming.
- Voice agents
- RAG
- Real time
AI for healthcare and operations
Medical report analysis, clinical decision support and custom AI pipelines tailored to healthcare compliance and operational needs.
- Clinical AI
- Reports
- Custom pipelines
Open code and models
Part of our work is published on GitHub and Hugging Face: LLM tooling, RAG evaluation, data and robotics.
scalexi
Python library
Low-code library to generate datasets, fine-tune and evaluate LLMs.
scalexi_rag_bench
RAG evaluation
Benchmark for evaluating Retrieval-Augmented Generation systems.
scalexi-ai-abstract-dataset
Dataset
Dataset of scientific abstracts in artificial intelligence.
uav_rl
Robotics · Reinforcement learning
Drone control and SLAM (PX4, ROS 2 Jazzy, Gazebo), reinforcement learning environments, YOLO and lidar perception.
smolvla-raise2026-ripeness-ref
Vision-language-action model
SmolVLA model for robotics, published on Hugging Face as part of RAISE 2026.