ToleAI

ToleAI is an AI project builder tool. ToleAI bundles team docs, spreadsheets, Kanban tasks and file storage inside isolated Context Engines, then lets specialised Agent Roles (Scrum Master, Product Manager, Technical Architect) reason over that bounded data for standups, status summaries and task updates.

ToleAI is a project execution workspace that pulls team notes, wikis, spreadsheets, task boards and uploaded files into a single container the company calls a Context Engine. Each engine is created around a project description, then linked to the documents, spreadsheets and sprint boards that belong to that work. A central agent reads across all of those artifacts, so a question about a delayed dependency can be answered from the sprint board rather than from a chat window with no visibility into the project. The workspace itself covers the usual project surfaces natively. There is a rich text editor for wikis, SOPs and product briefs, a spreadsheet grid with formulas for structured data, a Kanban board and sprint planner, a calendar timeline for milestones, and isolated file storage for architecture assets and requirement documents. Because those surfaces live in the same engine, highlighting text in a brief can generate or update a live task without leaving the page. Voice chat and speech to text sit on top, letting users dictate notes or speak prompts to the agent hands free. The distinctive layer is the set of Agent Roles. Users toggle between perspectives such as Product Manager, Scrum Master, Daily Standup Coordinator, Technical Architect and Product Owner, and the agent reframes its output for that role. The company positions the bounded context as the reason those answers stay grounded: the agent is confined to the engine's own data rather than the open web, which is meant to reduce drift and made-up answers. ToleAI is aimed at small product and engineering teams that currently pay for a documentation tool, a tracker, a spreadsheet app and cloud storage separately. It competes less with single-purpose writing assistants and more with the assembled stack of Notion, Jira and Drive. Access is currently gated behind a private waitlist, and the privacy model (isolated engines, AES-256 at rest, files processed in memory) is clearly pitched at teams handling proprietary roadmaps.