| Data Ingestion & Knowledge Sources |
- Builds custom ETL pipelines that pull data from your proprietary systems, internal wikis, SharePoint, and cloud storage—so everything ends up in one place.
- Works with both unstructured sources—PDFs, HTML, even multimedia—and structured data like databases or spreadsheets, bringing it all together into a single knowledge index.
Learn more
- Stores and indexes your content in vector databases such as Pinecone or Weaviate, giving you the flexibility to handle domain-specific data.
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- Plugs straight into enterprise data stacks—think databases, data lakes, and SaaS platforms like Snowflake, Databricks, or Salesforce—using APIs.
- Built for huge volumes: asynchronous APIs and queuing handle millions (even billions) of records with ease.
- Focuses on scanning and flagging sensitive info (PII/PHI) across structured and unstructured data, not classic file uploads.
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- Lets you ingest more than 1,400 file formats—PDF, DOCX, TXT, Markdown, HTML, and many more—via simple drag-and-drop or API.
- Crawls entire sites through sitemaps and URLs, automatically indexing public help-desk articles, FAQs, and docs.
- Turns multimedia into text on the fly: YouTube videos, podcasts, and other media are auto-transcribed with built-in OCR and speech-to-text.
View Transcription Guide
- Connects to Google Drive, SharePoint, Notion, Confluence, HubSpot, and more through API connectors or Zapier.
See Zapier Connectors
- Supports both manual uploads and auto-sync retraining, so your knowledge base always stays up to date.
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| Integrations & Channels |
- Specializes in bespoke integrations: Azumo can craft custom connectors for your enterprise tools—CRM, ERP, or even internal intranets.
- Puts AI agents wherever your users are—web, mobile, Slack, Microsoft Teams—through custom interfaces and API wrappers.
Integration services
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- No end-user chat widgets here—Protecto slots in as a security layer inside your AI app.
- Acts as middleware: its APIs sanitize data before it ever hits an LLM, whether you’re running a web chatbot, mobile app, or enterprise search tool.
- Integrates with data-flow heavyweights like Snowflake, Kafka, and Databricks to keep every AI data path clean and compliant.
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- Embeds easily—a lightweight script or iframe drops the chat widget into any website or mobile app.
- Offers ready-made hooks for Slack, Microsoft Teams, WhatsApp, Telegram, and Facebook Messenger.
Explore API Integrations
- Connects with 5,000+ apps via Zapier and webhooks to automate your workflows.
- Supports secure deployments with domain allowlisting and a ChatGPT Plugin for private use cases.
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| Core Chatbot Features |
- Builds RAG agents that focus on context-rich, accurate answers by pairing advanced relevancy search with thoughtful prompt engineering.
- Supports multi-turn conversations with context retention and clear source attribution to bolster trust.
See their approach
- Handles complex multi-agent systems and multi-step reasoning whenever the business case calls for it.
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- Doesn’t generate responses—it detects and masks sensitive data going into and out of your AI agents.
- Combines advanced NER with custom regex / pattern matching to spot PII/PHI, anonymizing without killing context.
- Adds content-moderation and safety checks to keep everything compliant and exposure-free.
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- Powers retrieval-augmented Q&A with GPT-4 and GPT-3.5 Turbo, keeping answers anchored to your own content.
- Reduces hallucinations by grounding replies in your data and adding source citations for transparency.
Benchmark Details
- Handles multi-turn, context-aware chats with persistent history and solid conversation management.
- Speaks 90+ languages, making global rollouts straightforward.
- Includes extras like lead capture (email collection) and smooth handoff to a human when needed.
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| Customization & Branding |
- Gives you unlimited room to customize—from the agent’s persona and tone to a fully branded UI—through bespoke development.
- Works side-by-side with your team to match brand voice, greetings, fonts, colors, and layouts.
Learn about branding
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- No visual branding needed—Protecto works behind the curtain, guarding data rather than showing UI.
- You can tailor masking rules and policies via a web dashboard or config files to match your exact regulations.
- It’s all about policy customization over look-and-feel, ensuring every output passes compliance checks.
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- Fully white-labels the widget—colors, logos, icons, CSS, everything can match your brand.
White-label Options
- Provides a no-code dashboard to set welcome messages, bot names, and visual themes.
- Lets you shape the AI’s persona and tone using pre-prompts and system instructions.
- Uses domain allowlisting to ensure the chatbot appears only on approved sites.
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| LLM Model Options |
- Takes a model-agnostic stance, integrating whichever model best fits your project—OpenAI's GPT, Anthropic's Claude, Meta's LLaMA, Cohere, or open-source alternatives.
- Can fine-tune models on domain-specific data for an extra performance boost.
Model integration expertise
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- Model-agnostic: works with any LLM—GPT, Claude, LLaMA, you name it—by masking data first.
- Plays nicely with orchestration frameworks like LangChain for multi-model workflows.
- Uses context-preserving techniques so accuracy stays high even after sensitive bits are masked.
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- Taps into top models—OpenAI’s GPT-4, GPT-3.5 Turbo, and even Anthropic’s Claude for enterprise needs.
- Automatically balances cost and performance by picking the right model for each request.
Model Selection Details
- Uses proprietary prompt engineering and retrieval tweaks to return high-quality, citation-backed answers.
- Handles all model management behind the scenes—no extra API keys or fine-tuning steps for you.
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| Developer Experience (API & SDKs) |
- Delivers a tailor-made API or microservice that meets your integration needs—no off-the-shelf SDKs, just code built for you.
- Collaborates closely on endpoint design, using frameworks like LangChain or Haystack internally, and hands over clear docs and code reviews on delivery.
See development process
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- REST APIs and a Python SDK make scanning, masking, and tokenizing straightforward.
- Docs are detailed, with step-by-step guides for slipping Protecto into data pipelines or AI apps.
- Supports real-time and batch modes, complete with examples for ETL and CI/CD pipelines.
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- Ships a well-documented REST API for creating agents, managing projects, ingesting data, and querying chat.
API Documentation
- Offers open-source SDKs—like the Python
customgpt-client—plus Postman collections to speed integration.
Open-Source SDK
- Backs you up with cookbooks, code samples, and step-by-step guides for every skill level.
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| Integration & Workflow |
- Fits the RAG system neatly into your existing workflows—custom API endpoints, middleware, and automated ingestion pipelines, all built to spec.
- Deploys in the environment you choose (cloud, VPC, on-prem) and hooks into your CI/CD and data-update processes.
Deployment options
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- Drops into your data flow—pipe user queries and retrieved docs through Protecto before they hit the LLM.
- Handles real-time masking for prompts/responses or bulk sanitizing for massive datasets.
- Deploy on-prem or in private cloud with Kubernetes auto-scaling to respect residency rules.
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- Gets you live fast with a low-code dashboard: create a project, add sources, and auto-index content in minutes.
- Fits existing systems via API calls, webhooks, and Zapier—handy for automating CRM updates, email triggers, and more.
Auto-sync Feature
- Slides into CI/CD pipelines so your knowledge base updates continuously without manual effort.
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| Performance & Accuracy |
- Pushes for high accuracy by fine-tuning retrieval components and using advanced reranking to keep only the most relevant context.
- Optimizes large, complex queries with efficient vector search and scalable cloud infrastructure, keeping latency low.
Benchmark insights
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- Context-preserving masking keeps LLM accuracy almost intact—about 99 % RARI versus 70 % with vanilla masking.
- Async APIs and auto-scaling keep latency low, even at high volume.
- Masked data still carries enough context so model answers stay on point.
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- Delivers sub-second replies with an optimized pipeline—efficient vector search, smart chunking, and caching.
- Independent tests rate median answer accuracy at 5/5—outpacing many alternatives.
Benchmark Results
- Always cites sources so users can verify facts on the spot.
- Maintains speed and accuracy even for massive knowledge bases with tens of millions of words.
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| Customization & Flexibility (Behavior & Knowledge) |
- Lets you build multiple datastores, set role-based access, and tweak system prompts so the agent behaves exactly as you want.
- Makes continuous refinement easy—add new training data, tune prompts, or plug in custom logic for tricky queries.
Customization approach
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- Fine-tune masking with custom regex rules and entity types as granular as you need.
- Role-based access lets privileged users view unmasked data while others see safe tokens.
- Update masking policies on the fly—no model retraining required—to keep up with new regs.
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- Lets you add, remove, or tweak content on the fly—automatic re-indexing keeps everything current.
- Shapes agent behavior through system prompts and sample Q&A, ensuring a consistent voice and focus.
Learn How to Update Sources
- Supports multiple agents per account, so different teams can have their own bots.
- Balances hands-on control with smart defaults—no deep ML expertise required to get tailored behavior.
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| Pricing & Scalability |
- Uses a bespoke, project-based pricing model—costs scale with scope, complexity, and timeline, so expect a higher upfront investment than a typical SaaS subscription.
Pricing overview
- Architected for enterprise scale: as query volume and data grow, the infrastructure scales right along with you.
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- Enterprise pricing tailored to data volume and throughput, with a free trial to test the waters.
- Scales to millions or billions of records—cloud or on-prem—priced around volume and usage.
- Ideal for large orgs with heavy data-protection needs; volume discounts and custom contracts keep costs sane.
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- Runs on straightforward subscriptions: Standard (~$99/mo), Premium (~$449/mo), and customizable Enterprise plans.
- Gives generous limits—Standard covers up to 60 million words per bot, Premium up to 300 million—all at flat monthly rates.
View Pricing
- Handles scaling for you: the managed cloud infra auto-scales with demand, keeping things fast and available.
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| Security & Privacy |
- Offers the choice of on-prem or VPC deployments for full data sovereignty.
- Implements enterprise-grade encryption, granular access controls, and compliance measures (HIPAA, FINRA, and more) tailored to your industry.
Learn about security
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- Privacy-first: spots and masks sensitive data before any LLM sees it, meeting GDPR, HIPAA, and more.
- End-to-end encryption, tight access controls, and audit logs lock down the pipeline.
- Deploy wherever you need—public cloud, private cloud, or entirely on-prem—for full residency control.
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- Protects data in transit with SSL/TLS and at rest with 256-bit AES encryption.
- Holds SOC 2 Type II certification and complies with GDPR, so your data stays isolated and private.
Security Certifications
- Offers fine-grained access controls—RBAC, two-factor auth, and SSO integration—so only the right people get in.
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| Observability & Monitoring |
- Bakes in comprehensive logging and monitoring—tracking query performance, retrieval success, and response times out of the box.
- Can tie into your monitoring stack (Splunk, CloudWatch, etc.) for real-time alerts and KPI-driven analytics.
Monitoring capabilities
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- Audit logs and dashboards track every masking action and how many sensitive items were caught.
- Hooks into SIEM and monitoring tools for real-time compliance and performance stats.
- Reports RARI and other metrics, alerting you if something looks off.
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- Comes with a real-time analytics dashboard tracking query volumes, token usage, and indexing status.
- Lets you export logs and metrics via API to plug into third-party monitoring or BI tools.
Analytics API
- Provides detailed insights for troubleshooting and ongoing optimization.
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| Support & Ecosystem |
- Provides white-glove support with a dedicated account manager and direct access to the dev team during and after deployment.
Support details
- Leverages a broad technology network—including partnerships like Snowflake—and deep expertise across multiple AI platforms.
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- High-touch enterprise support—dedicated managers and SLA-backed help for big deployments.
- Rich docs, API guides, and whitepapers show best practices for secure AI pipelines.
- Active in industry partnerships and thought leadership to keep the ecosystem strong.
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- Supplies rich docs, tutorials, cookbooks, and FAQs to get you started fast.
Developer Docs
- Offers quick email and in-app chat support—Premium and Enterprise plans add dedicated managers and faster SLAs.
Enterprise Solutions
- Benefits from an active user community plus integrations through Zapier and GitHub resources.
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| Additional Considerations |
- Perfect for organizations that need a custom, mission-critical AI solution that integrates with legacy systems or runs complex multi-step workflows.
- You own the delivered code and system, giving you ultimate flexibility to maintain or extend it later.
Custom development approach
- Expect a higher initial investment and a longer rollout compared with off-the-shelf SaaS tools.
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- Laser-focused on secure RAG—keeps sensitive data out of third-party LLMs while preserving context.
- On-prem option is a big win for highly regulated sectors needing total isolation.
- The proprietary RARI metric proves you can mask aggressively without wrecking model accuracy.
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- Slashes engineering overhead with an all-in-one RAG platform—no in-house ML team required.
- Gets you to value quickly: launch a functional AI assistant in minutes.
- Stays current with ongoing GPT and retrieval improvements, so you’re always on the latest tech.
- Balances top-tier accuracy with ease of use, perfect for customer-facing or internal knowledge projects.
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| No-Code Interface & Usability |
- Doesn’t come with a ready-made no-code interface—any admin or user UI is built as part of the custom solution.
- While the final UI can be polished and user-friendly, non-developers will generally need developer help for changes.
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- No drag-and-drop chatbot builder—Protecto provides a tech dashboard for privacy policy setup and monitoring.
- UI targets IT and security teams, with forms and config panels rather than wizard-style chatbot tools.
- Guided presets (e.g., HIPAA Mode) speed up onboarding for enterprises that need quick compliance.
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- Offers a wizard-style web dashboard so non-devs can upload content, brand the widget, and monitor performance.
- Supports drag-and-drop uploads, visual theme editing, and in-browser chatbot testing.
User Experience Review
- Uses role-based access so business users and devs can collaborate smoothly.
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