Getting to know Lampi AI
Last updated
Last updated
Lampi AI is a secure AI platform with the best and latest Large Language Models (LLMs) to power predictable and fine-tuned AI agents that interpret your needs and reliably perform tasks from start to completion.
Our AI agents are designed to integrate with your company data sources, providing a robust platform that significantly enhances productivity and optimizes work processes.
They are able to offer deep insights, retrieve, compare, analyze or extract information, automate meeting notes, deliver actionable insights, automate routine tasks, and perform complex workflows, ensuring that you can focus more on strategic initiatives.
Our innovative approach combines in total security the power of LLMs with external sources of information, ensuring up-to-date, accurate, and contextualized responses.
Lampi is designed to revolutionize your workflow, drive productivity, and foster innovation.
Perform simple or complex tasks and workflows with powerful AI agents that access private or public data to answer.
Access a library of agents by verticals that excel in specific tasks.
Easily build your custom agents capable of sophisticated and multi-step workflow, tailored to replicate specific day-to-day tasks.
Lampi performs advanced AI-powered semantic searches through all your data and application to find relevant documents and integrates them into AI workflows. It unifies your knowledge bases, making it easier for employees to access the information they need.
Analyze, compare, or summarize multiple documents and ask Lampi any questions about your internal knowledge to receive detailed answers, with references from relevant sources. Lampi AI extracts insights from hundreds of documents.
Invite Lampi to all your meetings and receive a transcription with an overview through structured timelines, detailed summaries, and the extraction of essential points.
Ask AI agents to analyze, compare transcriptions, or retrieve precise information from your meetings.
Transform your meeting transcripts in actionable insights by integrating them into AI workflows.
At Lampi, we treat your data with the utmost privacy:
We do not use your data, searches, inputs or outputs to train models.
We isolate all customer instances from each other.
Your data flows are fully containerized per workspace.
We offer secure data storage with encryption, robust algorithms, and access controls.
We encrypt your data in-flight using Transport Layer Security (TLS).
We encrypt your data on disk.
On request, Lampi can be implemented on a dedicated GPU or in the customer's IT infrastructure (VPC, on-cloud or on-premise).
To learn more about how we approach security at Lampi, read: www.lampi.ai/security
Generally speaking, when using conversational AI, the answers provided are not justified. Ask ChatGPT to provide the source of the information it has given you, and it will certainly reply that its training as an AI model includes access to a wide range of texts and documents covering such topics.
However, in your daily work, it is important that the information provided by the model is verifiable. For example, if an analyst receives financial information from a model, it is always preferable to be able to check the reference of the original study. Relying blindly on the results of a model does not currently allow such validation.
Lampi systematically provides the origin of the information, as well as the ability to read the embeddings used in the semantic search.
AI content generators often create hallucinations – false information outside of the raw, factual data - they make stuff up. These hallucinations lead to inaccurate and misleading responses.
Lampi addresses this problem through Retrieval Augmented Generation (RAG), allowing to provide contextualized and fact-based answers. By focusing on facts and reducing hallucinations, Lampi enhances trust in AI-powered solutions.
Even in RAG applications, hallucination issues remain a challenge and we advise to always check the sources of the information.
Use Lampi to search across multiple languages, eliminating language barriers and enabling users to find what they need, regardless of the language they use. This cross-language approach provides a seamless search experience for users around the world.
You can also chat with Lampi in +80 languages.
Lampi follows a multimodal infrastructure, providing and using a dynamic arsenal of large language models (LLMs) each specifically deployed for particular uses. You can test and use different models, depending on the task you perform.
Note: Lampi is continuously evolving, with enhancements being made and new functionalities added on a daily basis to ensure the best possible experience for our users.
