LMS Collaborator is a best solution for companies from 50 employees. Also it used in trainig centers, goverment and non-profit organizations. It gives three solutions in one platform - eLearning, Knowledge Base, and Communication Center.

The LMS Collaborator Task maintain any content such as: simple resource - page, file, audio, video, image gallery, document, presentation, e-book, etc. - all can be shown in browser for reading and view; interactive web-application in SCORM (1.2 or 2004) and HTML formats; quizz and polls for testing knowledge and organizing surveys (votes, feedbacks, polls); interactive workshops - the assignment of practical tasks and their estimation in the personal chat; assessment tool - checklist of compliense or 360 degree survey; webinar or inperson meetup in classroom; e-learning course; big learning program with many learning subtasks and conditions of their completion and access to them. Each Task supports different options of assigning users, options of during period, commenting ability, publication into a catalog, score parameters, ability of getting badge or certificate, and other settings of learning process. Some tasks parameters depend on content type. It's a testing process params if content is a quizz, or polls setting if content is a survey for example.

Collaborator offers an REST API, which allows businesses to integrate the platform with third-party solutions or anyone corporate information system.

DevOS is what happens when you stop thinking of AI as "a tool" and start thinking of it as "an employee." The premise: AI coding agents in 2026 are technically remarkable. Devin can ship features autonomously. Cursor + Claude Code accelerate every senior engineer. Copilot writes half the boilerplate. But every existing AI agent product treats AI as a tool you call — invoked from an IDE, prompted in a chat, given a one-shot task. That's the wrong frame for how teams actually work. Real teams don't have "tools" — they have employees. Employees: Have specialized roles (frontend, backend, QA, design, copy, sysadmin) Take tickets off a sprint board Attend standups and report blockers Hand off work to teammates with context Open PRs, get code reviews, respond to comments Have a track record visible across sprints DevOS treats AI agents the same way. Three layers in one product: 1. The marketplace. Browse specialized AI agents by role. Each comes with role-specific prompting, tool integrations, and a track record. Hire as many as your team's working style needs. Agents are configured for their role — a "frontend dev" agent ships React/Vue with the team's design system patterns; a "copywriter" agent ships marketing pages in your brand voice; a "QA" agent writes Playwright tests and triages bugs. 2. The sprint board. Linear/Jira-style kanban with full agile machinery: sprints, epics, backlog grooming, sprint planning, retrospectives. Agents appear as assignable team members. Drag a ticket onto an agent the same way you'd assign it to a human dev. The agent picks it up, posts an estimate, asks clarifying questions if needed, and starts working. 3. The communication layer. Standups are automated — every morning agents post what they shipped yesterday, what they're doing today, and what's blocking them. PRs are opened in your real repo. Code reviews happen in real GitHub / GitLab. Slack/Discord/Telegram integration so humans can talk to agents like teammates