| Data Ingestion & Knowledge Sources |
- Builds custom pipelines to pull in pretty much any source—internal docs, FAQs, websites, databases, even proprietary APIs.
- Works with all the usual suspects (PDF, DOCX, etc.) and can tap uncommon sources if the project needs it.
Project case study
- Designs scalable setups—hardware, storage, indexing—to handle huge data sets and keep everything fresh with automated pipelines.
Learn more
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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 |
- Plugs the chatbot into any channel you need—web, mobile, Slack, Teams, or even legacy apps—tailored to your stack.
- Spins up custom API endpoints or webhooks to hook into CRMs, ERPs, or ITSM tools (dev work included).
Integration approach
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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 a domain-tuned AI chatbot with multi-turn memory, context, and any language you need (local LLMs included).
- Can add lead capture, human handoff, and tight workflow hooks (e.g., IT tickets) exactly as you specify.
Case study
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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 |
- Everything’s bespoke: UI, tone, flows—whatever matches your brand.
- Slots into your existing tools with custom styling and domain-specific dialogs—changes just take dev effort.
Custom approach
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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 |
- Pick any model—GPT-4, Claude, Llama 2, Falcon—whatever fits your needs.
- Fine-tune on proprietary data for insider terminology, but swapping models means a new build/deploy cycle.
Our services
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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 project-specific API—JSON over HTTP—made exactly for your endpoints.
- Docs, samples, and support come straight from Deviniti engineers, not a public SDK.
Project example
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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 |
- Deeply embeds into enterprise flows—internal portals, mobile apps, you name it—using custom code.
- Can trigger ERP actions or open tickets automatically when the bot escalates a query.
Integration case
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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 |
- Uses best-practice retrieval (multi-index, tuned prompts) to serve precise answers.
- Fine-tunes on your data to squash hallucinations, though perfecting it may need ongoing tweaks.
Our approach
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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) |
- Total control: add new sources with custom pipelines, tweak bot tone, inject live API calls—whatever you dream up.
- Everything’s bespoke, so updates usually involve a quick dev sprint.
Case details
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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 |
- Project-based pricing plus optional maintenance—great for unique enterprise needs.
- Your infra (cloud or on-prem) handles the load; the solution is built to scale to millions of queries.
Client portfolio
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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 |
- Deploy on-prem or private cloud for full data control and compliance peace of mind.
- Uses strong encryption, access controls, and hooks into your existing security stack.
Security details
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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 |
- Custom monitoring ties into tools like CloudWatch or Prometheus to track everything.
- Can add an admin dashboard or SIEM feeds for real-time analytics and alerts.
More info
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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 |
- Hands-on support from Deviniti—from kickoff through post-launch—direct access to the dev team.
- Docs, training, and integrations are built around your stack, not one-size-fits-all.
Our services
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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 |
- Can build hybrid agents that run complex, transactional tasks—not just Q&A.
- You own the solution end-to-end and can evolve it as AI tech moves forward.
Custom governance
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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 |
- No out-of-the-box no-code dashboard—IT or bespoke admin panels handle config.
- Everyday users chat with the bot; deeper tweaks live with the tech team.
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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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