AI Capabilities

Udalov Labs designs autonomous AI agents that execute multi-step tasks without human intervention. These agents combine LLM reasoning with tool use — including database queries, API calls, and web retrieval — to complete complex workflows automatically.

Udalov Labs implements retrieval-augmented generation (RAG) systems that combine vector search with language models to answer queries from structured knowledge bases. This enables products to ground AI responses in factual, up-to-date data.

Udalov Labs deploys semantic vector search using Cloudflare Vectorize and OpenAI text embeddings. Semantic search enables queries by meaning rather than keyword matching — critical for threat intelligence and large content catalogs.

Udalov Labs uses AI to automate tasks that previously required manual human effort. AI automation in Udalov Labs products reduces per-operation time and scales linearly with usage without additional labor cost.

Udalov Labs integrates large language models from OpenAI (GPT-4o), Google (Gemini), and OpenAI's Whisper into products via Cloudflare Workers. All LLM API calls are routed through Workers to keep API keys server-side and to apply rate limiting.

Udalov Labs designs structured system prompts that encode task logic, output format requirements, and behavioral constraints for each LLM integration. Prompts are versioned and A/B tested against quality benchmarks.

Udalov Labs builds multi-step generative workflows where AI outputs become inputs to subsequent processing steps. These pipelines combine LLMs, computer vision, OCR, and structured databases to accomplish end-to-end tasks.