Intranet Bot AI for Organizations
Highbot transforms documents and company websites into a controlled knowledge base that employees and partners can use in daily work — with citations and links to sources.
Citations & Source Tracking
AI response + citations from PDF/web + links to the sources of information.
Premium Model Choice
Support for premium-class models for more complex tasks.
Enterprise Architecture / Data Control
Self-hosting options (whole infrastructure, incl. LLM and vector database, or partial), according to security requirements.
Company knowledge exists — but is scattered and hard to use
In larger organizations, knowledge lives in documents, procedures, intranets, emails, and project files. The result? Employees waste time searching, asking experts, and verifying versions. McKinsey has noted that in research, over 1/4 of a typical knowledge worker's time can be spent just searching for information.
Scattered information
"The document was in email... or on Teams?"
Lost time
- - 45 minutes of searching
- - 2 coworkers asked
Found a suboptimal solution
"Maybe this is fine?"
Implementing a suboptimal solution
"Maybe nobody will notice..."
It does not work
"Let's come back to this tomorrow"
An internal AI assistant that organizes company knowledge and responds with citations
Highbot organizes the knowledge base and provides it in conversation form — with control and audit
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Answers questions on files and web pages Browse hundreds of knowledge sources in seconds.
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Checks many files before responding Ensures accuracy and compliance.
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Support for agentic processes Multi-step tasks: find procedure → compare versions → provide checklist → cite sources
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Reads images Your documents have charts and schematics? No problem.
How does it work?
Connect your sources
PDFs, documents, links to web pages/intranet.
- PDF Documents
- Webpages
- Any other information
Highbot builds the knowledge base
Content segmentation, metadata, vector index, version control.
- Content segmentation
- Metadata
- Vector databases
Employees ask in natural language
In natural language, in the browser or work tools.
- Natural language
- Browser
- Website chatbot
- Internal tooling
Answer has three layers
AI summary, citations from documents, links to sources
- AI summary
- Links to sources
Why Highbot
What sets Highbot apart compared to other solutions?
Highbot is designed as a knowledge and agentic intelligence layer for organizations, where priorities are: precision in documents, citability, and infrastructure control.
3 key differentiators for Highbot:
Cutting-edge document understanding
Most chatbots can match "the most probable" answer.
Highbot performs live-research on the documents you provide.
Freedom to choose LLM (including premium models)
Highbot is positioned for use with the highest quality models (e.g., Claude Opus).
Self-hosting and Your data, Your rules
Highbot: goes further as a solution designed for enterprise scenarios, where you can maintain a self-hosted vector database and (depending on architecture) also the LLM in the client's environment.
Vector database
When questions are specialized, precise search and filtering matter
In larger organizations, searching by words isn't enough. A vector database allows you to reach the right fragments even when the employee uses different wording than the document author.
Classic Search
Relies on keyword matching. Results depend on exact text matches in documents.
Semantic Search (Embeddings) + Filters
Understands the meaning of the query. Documents are compared at a semantic level, while metadata filters help refine results.
What the company gains
Less time searching
Employees reach procedures, specifications, and agreements faster. (McKinsey noted that in research, over 1/4 of work time can go to searching for information).
Higher productivity in knowledge-intensive tasks
Studies of conversational assistant deployments in work showed productivity increases (e.g., ~14% in an analyzed contact center case).
Quality and speed in knowledge work tasks
In experiments with BCG consultants, people with access to LLMs completed tasks faster and accomplished more in areas within reach of the model.
Less risk
Citations and links facilitate verification, and governance limits shadow AI and uncontrolled tool use. (In practice, many companies see growing bottom-up AI use, increasing the need for manageable solutions).
Use cases and industries — where Highbot works best
Example departments:
Health & safety
Procedures, Medical data, Prescriptions
IT and cybersecurity
Runbooks, policies, standards
Chemistry
Safety data sheets (SDS), formulations, substances, lab procedures
B2B sales/partners
Product specifications, offers, terms, common questions
HR / onboarding
Policies, regulations, training
R&D / engineering
Project documentation, norms, guidelines
Deployment and maintenance
For enterprise customers
PoC / Pilot
Deployment and testing in a controlled environment to ensure needs are met.
- Controlled environment
- Requirements check
- KPI definition
Iterative tuning
Refining capabilities based on feedback and performance metrics.
- Feedback loops
- Performance metrics
- Quality adjustments
Deployment
Final deployment of the solution in the production environment.
- Production ready
- User roles & access
- Integration
Monitoring
Continuous oversight, updates, and optimization.
- Continuous oversight
- Regular updates
- Optimization
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