Cerno : Agentic, Local Deep Research
Local-first AI research with transparent research workflows
# Research ToolWhat is Cerno : Agentic, Local Deep Research?
Cerno is a local-first research platform using agentic AI to decompose complex queries into verifiable, multi-step workflows. Switch between cloud and local models, trace every reasoning step, and optimize costs—all while keeping data on your machine.
Problem
Users manage complex queries through inefficient, opaque, and costly research processes, relying on fragmented tools or non-local AI solutions that lack traceability and data control.
Solution
A local-first research platform enabling users to leverage agentic AI to decompose complex queries into verifiable, multi-step workflows, with hybrid model support (cloud/local) and cost optimization while retaining on-device data.
Customers
Researchers, data scientists, and analysts requiring deep, transparent workflows; professionals in academia, enterprise R&D, or consulting prioritizing data privacy and auditability.
Unique Features
Local-first data storage, fully transparent reasoning traces, dynamic switching between cloud/local AI models, and granular cost controls for resource-intensive tasks.
User Comments
Simplifies multi-step research with traceable steps
Cost optimization for large-scale projects
Seamless model switching enhances flexibility
Data privacy is a game-changer
Steep learning curve for workflow setup
Traction
Launched on ProductHunt in 2024 (exact date unspecified), details on users/revenue not publicly disclosed; positioned in the emerging agentic AI research niche.
Market Size
The global AI-in-research market is projected to reach $1.2 billion by 2023 (Source: MarketsandMarkets), driven by demand for automated, auditable workflows.
