Product Portfolio

Tools built for clear thinking and faster work

From a browser companion that reads any webpage beside you to enterprise knowledge engines that cite your internal documentation, explore the tools powered by the AskBurg model.

Extension: Chrome & Firefox (Manifest V3)

AskBurg Browser Companion

Bring intelligent assistance directly to the page you are reading. Summarize articles, explain complex jargon, and draft email responses without switching windows.

  • 400px interactive sidebar: Slides open beside any tab via keyboard shortcut (Ctrl+Shift+A or Cmd+Shift+A) to ask questions about page contents.
  • One-click page summaries: Delivers a concise overview and 3 to 5 core takeaways in seconds, saving minutes of skimming.
  • Selection quick actions: Highlight any text to reveal a mini toolbar that can explain, simplify, translate, or rewrite the excerpt.
  • Smart compose helper: Detects reply boxes in Gmail, Outlook, Twitter, and LinkedIn, helping you generate and polish professional replies.
  • Isolated Shadow DOM: The extension UI lives inside an isolated DOM boundary, keeping host site styles from breaking your workflow.
View Companion Details Connect Extension
AskBurg Companion v1.0.0
Selection Explain Simplify Translate
Summarize this documentation page on vector indexing.
Page Summary: This guide explains how vector embeddings turn unstructured text into searchable numerical coordinates.

• Chunks text into 500-token passages with 50-token overlaps.
• Computes similarity using cosine distance in PostgreSQL.
• Returns matching excerpts within 45 milliseconds.
Live Web App · Streaming

AskBurg Web Assistant

A clean, distraction-free conversational workspace for research, drafting, and problem solving, powered directly by the proprietary AskBurg model.

  • Instant word-by-word streaming: Answers begin rendering within hundreds of milliseconds over Server-Sent Events, removing long waiting spinners.
  • Grounded honesty: Tuned to admit when it is unsure and ask concise clarifying questions rather than guessing or inventing facts.
  • Safe, structured Markdown: Dependency-free renderer outputs bullet lists, code blocks, and headings while sanitizing user input against injection.
  • Conversational context memory: Tracks multi-turn dialogue up to 12 recent messages, letting you refine and iterate on drafts naturally.
  • Zero advertising clutter: Clean typography, dark mode compatibility, and a strict focus on your questions and answers.
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AskBurg Assistant · Live
Draft a concise client note explaining a database migration timeline.
Hi Team,

We have scheduled the database migration for Saturday, 02:00 UTC. Expected downtime is under 20 minutes, during which read-only replicas will remain online. All data is backed up across two geographically isolated regions.
Enterprise RAG · Grounded on Your Content

AskBurg Knowledge Engine

Transform internal documentation, PDFs, and team wikis into an accurate, conversational knowledge base. Ground every reply in your verified documents with clickable source citations.

  • Multi-format ingestion pipeline: Connect PDFs, spreadsheets, office documents, Markdown files, Notion databases, and live sitemaps.
  • Isolated vector indexing: Your data is chunked and stored in dedicated, encrypted tenant partitions, completely isolated from other organizations.
  • Verified source citations: The model includes direct links to the exact paragraph and file source for every fact it states.
  • Strict anti-hallucination guardrails: Prompts force the model to answer solely from retrieved passages, explicitly reporting when context does not contain the answer.
  • Zero model training: Your proprietary data is never used to train or fine-tune the public AskBurg model.
Explore RAG Architecture Request Enterprise Demo
AskBurg Knowledge Engine
What is our company policy on remote hardware stipends?
Full-time team members receive a $1,200 home office hardware stipend upon joining, refreshed every 24 months. Claims are processed through the finance portal with receipts attached.
Source: Employee Handbook 2026, Section 4.2 (PDF)
White-Label · REST API & SDKs

AskBurg White-Label & Enterprise Suite

Ship a complete AI experience under your own brand, domain, and visual identity. Designed for agencies, SaaS platforms, and enterprise support operations.

  • Full white-label deployment: Run the chat experience under your own domain, colors, and logo, with zero AskBurg branding.
  • Drop-in web widget: Add a responsive chat bubble to any site or web app with a single <script> tag.
  • Streaming REST API & SDKs: Build custom mobile or desktop integrations with typed endpoints and token streaming.
  • Team governance & analytics: Centralized dashboard for user permissions, token budgeting, audit logs, and query analytics.
  • Workplace channel connectors: Connect your assistant directly into Slack and Microsoft Teams for shared company intelligence.
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Enterprise Deployment Dashboard
// Drop-in Client Snippet
<script src="https://ai.yourbrand.com/widget.js"
  data-brand-color="#0050B0"
  data-theme="auto">
</script>
Status: Custom Domain Verified (ai.yourbrand.com)
SLA: 99.9% Uptime Guarantee · Dedicated Instance Active
Side-by-side comparison

Product Capability Matrix

Compare deployment methods, data capabilities, and security controls across our product suite.

Capability Browser Companion Web Assistant Knowledge Engine (RAG) Enterprise White-Label
Deployment format Chrome / Firefox Extension Web Browser App Cloud / On-premise API Custom Domain Widget & API
Primary use case In-tab research & email drafting Everyday brainstorming & writing Private company documentation search Branded customer & client AI chat
Data source Current active tab / selection General AskBurg model knowledge Internal files, Notion, Drive, PDFs Custom enterprise index & APIs
Source citations Direct page quotes General explanations Document & page citations Configurable citations
Response streaming Real-time SSE Real-time SSE Real-time SSE Real-time SSE
Custom branding AskBurg Companion AskBurg Model Configurable theme Full white-label (no badges)
Data isolation Client-side Shadow DOM Transient sessions Dedicated vector partition Isolated VPC / single tenant
Base model training Never trained on data Never trained on data Never trained on data Never trained on data
Supported platforms Chrome, Firefox, Brave, Edge All modern browsers REST API, Webhook, Python SDK Web, Slack, Teams, Mobile SDK
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