AI · alternatives · 2026

24 alternatives to Shadow AI
Privacy-first AI: Redact sensitive data before it leaks.
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.
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Many teams connecting LLMs to external tools eventually encounter the same architectural issue: as more tools and agents are added, the integration pattern becomes an N×M mesh of direct connections. Each agent implements its own auth, retries, rate limiting, and logging; each tool needs credentials distributed to multiple places and observability becomes fragmented. We built LLM gateway with this goal to provide a single place to manage authentication, authorization, routing, and observability for MCP servers, with a path toward a more general agent-gateway architecture in the future. The…
Dec 2025 · truefoundry.com · its alternatives →
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Typing Mind▲826Chat with AI using your API keys. Pay only for what you use. ChatGPT, Gemini, Claude, and other LLMs supported. The best chat LLM frontend UI for all AI models.
2023 · typingmind.com · its alternatives →
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Use AI models without managing keys or billing
Dec 2025 · docs.netlify.com · its alternatives →
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AI Hive ▲53Build, deploy, and run all your AI agents in one platform.
May 2026 · app.aihive.global · its alternatives →
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AI Safeguard▲14Prevent sensitive data leaks in popular LLM's like ChatGPT
2025 · aisafeguard.co.uk · its alternatives →
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Axis One▲78I’ve been building a small hardware box that runs local LLMs like Mistral, Qwen and Llama, and exposes an OpenAI compatible API on your local network. There’s no cloud, no login system and no telemetry. I built it because a lot of small firms want ChatGPTbstyle tools but can’t use cloud AI for privacy or compliance reasons, and most don’t want to deal with GPU servers, drivers, Docker or model configs. The aim is to make local AI feel as simple as plugging in a router. Right now the box boots into a very simple web UI where you choose a model and start using it. The API follows the OpenAI…
Nov 2025 · axis-one-psi.vercel.app · its alternatives →
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AI spend visibility and control for teams
Aug 2026 · shadow-ai-usage.vercel.app · its alternatives →
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Lapis▲79Secure, offline AI chat assistant on your device
Nov 2025 · lapis.lvrpiz.com · its alternatives →
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I'm lost between ChatGPT vs Claude vs Gemini... which subscriptions to take? With Cursor and all these specific AI tools, I just wanted one simple chat app where I can use any model and pay only when I use it. Couldn't find one, so I built one. Pay only for what you use. Your prompts and docs, knowledge bases work with every model - no more copy-pasting between apps. Started as a personal project, but thought someone else might benefit from this too. https://prismharmony.com/chat What do you think?
2025 · prismharmony.com · its alternatives →
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The context manager and skills library for marketing teams
Apr 2026 · promptr.ai · its alternatives →
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GateLLM▲13The open-source gateway securing your AI workflows
2025 · gatellm.web.app · its alternatives →
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Mitigate the use of unauthorized AI tools
2025 · chromewebstore.google.com · its alternatives →
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Sense AI▲13Shadow Exposure & eNterprise Surveillance for AI
Feb 2026 · github.com · its alternatives →
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Talk to multiple LLMs thru a unified API
2025 · ai-gateway.dev · its alternatives →
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Hi HN, Matvey, Ildar, Joey, and Dominik here. If you're building LLM agents that use tools, you're probably worried about prompt injection attacks that can hijack those tools. We were too, and found that solutions like prompt-based filtering or secondary "guard" LLMs can be unreliable. Our thesis is that agent security should be handled at the network level between the agent and the LLM, just like a traditional web application firewall. So we built Archestra Platform: an open-source gateway that acts as a secure proxy for your AI agents. It's designed to be a deterministic firewall against…
2025 · archestra.ai · its alternatives →
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Excited to share a project I’ve been building for months! Would love to receive honest feedback :) My motivation: AI is clearly going to be the interface for data. But earlier attempts (text-to-SQL, etc.) fell short — they treated it like magic. The space has matured: teams now realize that AI + data needs structure, context, and rules. So I built a product to help teams deliver “chat with data” solutions fast with full control and observability (agent tracing, quality scores, etc) — am I wrong? The product allows you to connect any LLM to any data source with centralized context…
2025 · github.com · its alternatives →
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All inside hardware-enforced secure enclaves.
Jan 2026 · its alternatives →
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Local In-Browser LLM inference for private, fast, and secure chat - no server required.
2025 · private-ai-chat.vercel.app · its alternatives →
- 24One AI Chat▲17
Access Gemini Pro, Claude Pro, ChatGPT Pro models and more for $8/month. Is it another AI/LLMs wrapper? Yes. So why should I use it? Honestly right now there are a lot of other alternatives. But here's why I think it's useful enough to release it in early access: 1. Clear & transparent pricing model. Usage rates is the same is providers api rates + 10%. 2. LLMs responses don't rely on the client connectivity. We use Convex. It's super stable. You can even run multiple chats in parallel. 3. Use it if you like the design :) 4. We have a very clear roadmap. What's next? A desktop app…
2025 · oneaichat.app · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →