Atlassian vs Toloka

Workforce-planning app in the Atlassian Strategy Collection that maps positions, skills and capacity to strategic initiatives so leaders can see how each initiative is staffed and spot gaps. Atlassian titles it 'AI-first Workforce Planning' and promises 'intelligent workforce planning guidance', but the product page names no specific AI mechanism beyond that.

External customer-service app sold only inside the Atlassian Service Collection: AI agents built in Agent Studio resolve common requests and escalate complex ones, a Rovo-powered omnichannel workspace keeps each customer's conversation in one thread, Voice AI answers calls and turns them into work items with transcripts, and human agents get AI help finding answers and summarising issues.

AI feature suite inside Loom (owned by Atlassian) that automatically generates titles, summaries and chapters, and converts recorded videos into documents, Jira/Linear issues or messages.

A hosted Model Context Protocol server that lets external LLMs, IDEs and agent platforms securely search and fetch data from Jira, Confluence and other Atlassian Cloud products.

AI that connects across Jira, Confluence and a team's other work through the Teamwork Graph -- contextual search and answers plus agents that automate workflow steps.

A no-code workspace inside Rovo for building, deploying and governing AI agents, automations and apps against Atlassian's Teamwork Graph.

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.