Anthropic vs Toloka

Assistant for chat, document analysis and coding, used in the browser and in desktop and mobile apps.

Lets users collaborate with Claude to create on-brand visual work (decks, prototypes, wireframes, marketing collateral) with design-system import and Claude Code integration via /design-sync.

Desktop application for scientific research that runs analyses, searches scientific databases and traces work from data wrangling through to publication.

Application that scans codebases for high-severity vulnerabilities, validates findings by adversarial verification and recommends patches for review, with a companion Claude Code plugin.

Claude working inside Excel, PowerPoint, Word and Outlook with context carried across the documents — preserving templates and house styles and showing every edit as tracked changes, highlighted cells or draft emails.

Claude tagged as @Claude inside Slack threads and channels: it reads thread context and replies in real time, analyses conversations, pulls data, drafts content, monitors channels, triages alerts and runs standing instructions without leaving Slack.

Hosted API offering a pre-built configurable agent harness with managed sandboxes and persistent sessions for long-running asynchronous agent tasks, billed separately from token usage.

Python and TypeScript library that runs the same agent loop, tools and context management that power Claude Code, so developers can embed the loop in their own process rather than calling the API directly.

Hosted API for the Claude models, billed per token.

An independent evaluation platform that ranks frontier LLMs on agentic tool-use tasks using private, non-contaminated benchmarks across industry domains, scored on a pass^5 reliability metric, with the underlying RL Gyms and evaluation datasets available to license.

A self-serve service that lowers per-request inference cost through two tools - fine-tuning LoRA adapters on frozen Qwen3 base models to replace a frontier API on a narrow task, and prompt gisting that compresses long instruction prefixes into learned tokens.

Toloka's catalogue of ready-made training datasets sold outright — three named at the time of writing (Tau-bench Dataset Extension, University-level Math Reasoning, Multimodal Conversations) — as distinct from the custom data work its Platform sells.

Human-in-the-loop data programs -- demonstrations, annotation and evaluation -- for training robotics and physical AI systems.

A self-serve platform where an AI agent turns a described data goal into a full human-annotation pipeline - RLHF and preference data, data collection, instruction tuning, model evaluation, synthetic-data validation and content-moderation QA - with LLM-based quality checks on the output.