Solutions
Six common AI work patterns and the yno.ai capabilities that support them
Software Engineering
For developers, engineering managers, and platform teams who want AI embedded in code review, refactoring, and CI/CD without locking themselves into a single model vendor.
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Research & Analysis
For researchers, analysts, and consultants working through large document corpora, mixed data sources, and multi-stage synthesis tasks that exceed a single model's context window.
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Document Processing
Run extraction, summarization, and review across long PDFs and scanned documents using long-context models. Configure batch agents to process document sets and return structured output.
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Agent Automation
yno.ai runs goal-directed agent loops that combine planning, tool use, and MCP-based connections to your systems. Pick a model per task, wire up the tools, and schedule recurring runs.
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Knowledge Management
Connect Notion, Confluence, SharePoint, and Slack to AI agents that retrieve grounded answers from your own content. Synthesize across thousands of pages, screenshots, and PDFs in one query.
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Data Analysis
Connect models that run SQL and Python against your warehouses and spreadsheets, return structured output, and process rows in batch. Wire results into dashboards, pipelines, or scheduled reports.
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