The Knowledge Is There. KogniLink Puts It to Work.
- Deployed across industry, professional publishing, and legal services.
- Trusted for 500,000+ internal documents and datasets.
- Operate within your own data center or private cloud subscription.
- Choose from 50+ AI models including GPT-5, Claude, Qwen, Llama, and Gemma.
- Highly efficient — even small models run on cost-effective AI hardware.
- Low-risk pilot projects inside your organization
- No multi-year IT programs
- Flexible customization for integrations and workflows when you need it
Use Cases
Find knowledge instead of searching
Employees ask questions in plain language – and get answers with source references from internal documents.
Accelerate onboarding
New hires get up to speed in weeks instead of months – because they can ask anytime what only the experts used to know.
Reduce service & support load
Technicians find answers in manuals and service reports – without pulling experienced colleagues out of their work.
Compare documents
Contracts, policies, specifications: spot and understand changes in minutes instead of hours.
Generate text from templates
Proposals, reports, data sheets – automatically created based on internal guidelines and existing data.
Prepare for audits & compliance
Find evidence, check coverage, identify gaps – with AI instead of spreadsheets and guesswork.
Empower sales with expertise
Product specs, technical details, project history – instantly available, without chasing down subject matter experts.
Capture expert knowledge
Before experienced employees leave: capture what they know in a structured way and make it accessible to others.
M&A & reorganization
After mergers or restructuring: unlock multiple knowledge bases without having to reorganize everything.
Core Capabilities
Find Answers Without Searching
Spot Changes Before They Escalate
Generate Texts That Hold Up Internally
Capture Knowledge While It Is Still In-House
Stay In Control Instead of Chasing Issues
Automate Complex Processes
Foundation for Advanced AI Applications
Everything successful AI adoption requires
A productive AI rollout within weeks
- relevant document types and data domains
- existing processes and responsibilities
- concrete questions from business teams
- a sharply defined use case
- success metrics and expectations
- required test data and access concepts
- business users work with real questions
- feedback on quality, value, and workflows
- targeted adjustments where needed
- integration with existing systems
- defined roles and access
- embedded workflows for daily use