ContextNest
Local-first governed context vault plus a cloud tier with 125+ models, built for auditable AI answers
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promptowl.aiAbout ContextNest
ContextNest is a governed context layer for AI, built around the argument that shadow AI is already inside most companies: people did not wait for a policy, they are running real work through personal ChatGPT, Claude and Copilot accounts, and everything they teach those models and everything those models tell them is invisible to the organisation. The consequence the company names is precise — every useful answer lives and dies inside a private chat, so the person learns and the company does not, while the documents the AI can see go stale quietly and it answers from last year's policy with this year's confidence. ContextNest's answer is to make every AI answer trace back to approved knowledge with a full audit trail, governing context, agents, tools and models together. The free desktop product is local-first: a vault on your own machine that connects to Claude, Cursor and Antigravity, with your files never leaving the device, and it exposes chat, a knowledge layer, agents, skills, schedules, email and calendar connections, terminal access and file read/write from one interface. Above it sits PromptOwl, the cloud tier, which adds a synced knowledge vault and access to 125+ AI models on one subscription so context travels across every tool. The team tier adds branded agents, managed LLMs and team deployment, and the company markets a reseller arrangement where partners keep 100% of subscription revenue. It publishes SOC 2 Type II, HIPAA and GDPR posture and an open spec.
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Key Features
ContextNest Pros & Cons
✅ Pros
- +The desktop tier is genuinely free, local and account-free
- +Governance framing fits buyers who cannot adopt consumer AI accounts
- +One subscription covering 125+ models simplifies procurement
⚠️ Cons
- −Two product names for one company makes the offering confusing to evaluate
- −$299/month entry for Teams is high for small organisations
- −Individual and Teams prices are 'from' figures with the full ladder behind a toggle
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