SAP vs Toloka

AI agents encoded with SAP business-process expertise that automate workflows at scale, coordinated by context-aware assistants across finance, supply chain, spend management, HR and customer-experience functions.

A unified workspace where people describe a goal in natural language and Joule surfaces insights, automates routine work and coordinates Joule Agents across SAP and non-SAP systems, available as web, desktop and mobile apps.

Vendor-agnostic command center for discovering, inventorying, governing and evaluating AI agents, LLMs and MCP servers across SAP, Microsoft, Google, AWS, Databricks and ServiceNow, with observability, identity/access control and agent mining.

Centralized AI lifecycle management across multiple SAP AI Core runtime instances -- resource groups, generative AI prompt lifecycle, model training/deployment and consumption analytics for SAP BTP.

Unifies and governs SAP and third-party data via a business data fabric, providing the trusted data foundation for agentic AI (Joule Agents); bundles SAP Analytics Cloud, Datasphere, Business Warehouse, Databricks, HANA Cloud and Master Data Governance under one data platform.

Centralized platform for accessing SAP and third-party generative AI models through SAP AI Core, with prompt experimentation, orchestration and inference observability for building enterprise AI applications.

Connects a company's SAP data fabric to AI for grounded, hallucination-resistant answers; grounds Joule and other AI services in customer business context, with pre-populated knowledge graphs for SAP solutions.

A hybrid AI-plus-human agent that takes a delegated task - research, data analysis, copywriting, design or development - has AI do the first pass, then routes it to one of 10,000+ vetted experts for verification and multi-layer QA, returning results in 2-24 hours.

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.