Generative AI Solutions
AutoMeta builds Generative AI systems that help businesses work with knowledge, documents and operational data. Solutions can include business assistants, retrieval-augmented generation (RAG), document workflows and AI features embedded into existing applications.
What we build
Business AI assistants and copilots
Designed around measurable business needs, integration requirements and appropriate human oversight.
RAG and private knowledge assistants
Designed around measurable business needs, integration requirements and appropriate human oversight.
Document understanding and summarization
Designed around measurable business needs, integration requirements and appropriate human oversight.
LLM-powered workflow automation
Designed around measurable business needs, integration requirements and appropriate human oversight.
Evaluation, guardrails and human review
Designed around measurable business needs, integration requirements and appropriate human oversight.
How AutoMeta approaches generative ai solutions
We start with the business problem, available data, existing systems and the level of reliability the workflow requires. The solution is then designed around the right combination of software engineering, automation and AI. We avoid using AI where a simpler deterministic approach is more reliable.
AutoMeta is based in Espoo, Finland and develops practical intelligent systems for businesses. Projects can be designed for cloud, API-based or local components depending on the use case and technical constraints.
Frequently asked questions
What is RAG?
Retrieval-augmented generation connects a language model to selected knowledge sources so answers can be grounded in relevant business information.
Can Generative AI use private company data?
Yes, architectures can be designed so approved company information is retrieved for the application while access, retention and security requirements are considered.
Can an AI assistant connect to business tools?
Where supported by APIs and permissions, assistants can be integrated with databases, knowledge bases and operational systems.