Sightify VS Zenor.ai
Compare Sightify VS Zenor.ai and see what are their differences
Anything blends AI and human support to detect, delegate, and complete your tasks before they even reach your to-do list.
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Sightify | AI Agents is an LLM AI software application intended to automate SME workflows while ensuring data sovereignty.
Some features include:
Data-Sovereign Agents: Fine-tuned w/ RAG on open-source LLMs for specific business process optimization No AI Hallucinations: Source, page, and section citations for database-enforced tokens Multimodal: PDF, Excel, Word, TXT, PNG/JPEG, etc. CRM/ERP System Integration: API documentation, MCP compliant, R&D integration/support Updatable LLMs: Constant New Version Implementations (Qwen 70B, Gemma 27B)
Our current AI Agents are:
Knowledge Assistant: Generates RAG-powered responses referencing the ERP/CRM database for client relationship management, HR/company regulations search, marketing/email suggestions, etc. Contract Finalizer: Finalize legal contracts that are sent to or received from clients/partners by referencing past finalized contracts, government regulations/policies, and the ERP/CRM database. Report Generator: Instant generate monthly/annual sales/marketing/buget reports based on report templates and the ERP/CRM database Market Researcher: Analyze and compare competitor pricing, products, marketing, etc with Internet and ERP/CRM database reference Meeting Notetaker: Immediately generate meeting notes after recording/uploading meeting audio, use LLM reasoning to create action items, draft emails, etc.
Our AI software deployment is flexible:
On-Premise: Sightify has several OEM / SI partnerships across the world that help deploy Sightify | AI Agents on-premise globally. While Sightify stills provides L3 support, the OEM / SI combine to provide L1/L2 support.
Private Cloud: Sightify has multiple GPU compute provider partnerships across the world that help provide compliant infrastructure for deploying Sightify | AI Agents. Sightify provides L2/L3 support and the GPU compute provider provides L1/L2 support.
Zenor AI is a multimodal shopping assistant for Shopify that lets customers shop and get support via text, voice, or photo. It understands product queries, recommends items from your catalog, handles FAQs like shipping, returns, and order status, and assists with cart actions and checkout all inside the chat. Virtual try-on is coming soon. Zenor supports 32+ languages, installs in under 5 minutes, and requires no coding. By giving shoppers a faster and smarter way to find products and get answers, it reduces support load while boosting conversions, average order value, and customer satisfaction.
Sightify Zenor.aiNo features have been listed yet.
Sightify's answer
Data Sovereignty Many AI B2B SaaS today build their agents on ChatGPT or Claude models. Thus, each time enterprises use that SaaS AI, their data is exposed to these hyperscalers. AI Agents is built and fine-tuned on open-source LLMs. This means that enterprises using AI Agents are using their own proprietary model, preventing any other companies from accessing or using their data for training.
Easy-to-Use Sightify’s target client base are SMEs. These SMEs typically will not have an AI team, and so our platform is designed to be extremely easy-to-use, with no technical training required.
Switchable LLMs Since new and better open-source LLMs are being released every year, Sightify provides a platform function to switch base models for each specific Agent. That way, Agent performance is always optimized and equipped with the newest AI features.
Full, Flexible Deployment AI Agents can be deployed in any way -- according to client’s needs. Whether on-premise, on the private cloud (through 3rd-party infrastructure providers), or on the public cloud (Sightify’s own cloud infrastructure).
Sightify's answer
Our AI Agents are fine-tuned on open-source LLMs, most recently Gemma 3. This guarantees that our Agents are enterprise-proprietarty and data-sovereign, giving our clients full control over their data.
Sightify's answer
Small-to-Medium enterprises in data-sensitive industries: finance, telecom, legal, healthcare, laboratory sciences, etc.
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