Models & AI assistants
Model training and adaptation, chatbots and search across company knowledge.
Discuss your task
Possible applications
Internal document search, employee assistants and enquiry classification are possible applications, not claims about completed projects.
Scope of work
Model selection, data preparation, retrieval augmentation, configuration or fine-tuning, APIs and access management.
Data and prerequisites
Documents with usage rights, sample queries and expected answers. We check source completeness and freshness.
Integration and deployment
Corporate chat, CRM or portal through APIs. Local, cloud or hybrid deployment subject to model licences.
How we evaluate results
A held-out test set, answer accuracy, source references, appropriate refusals, latency and cost. Hallucinations are evaluated separately.
Before we start
How is the knowledge base updated?
We agree on sources, indexing schedules and access checks at retrieval time.
Can the model make mistakes?
Yes. We evaluate answers, include source references and limit actions. Critical decisions need human oversight.
What would you like to solve?
Describe a process or problem. We will discuss an approach, the data needed and the next step.
A formal specification is not required. Tell us what happens today and what you would like to improve.
admin@invise.org