Lampi.ai
Lampi.ai is a confidential AI agent platform for finance professionals — M&A analysts, investment bankers, PE professionals, and lawyers — automating complex financial workflows with enterprise-grade security.
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What is Lampi.ai?
Lampi.ai is a confidential multi-agent orchestration system designed specifically for finance professionals, including private equity analysts, investment bankers, M&A advisors, lawyers, and strategy consultants. The platform automates complex, mission-critical financial workflows by combining real-time verifiable insights, specialized AI agents, and orchestrated workflows to turn weeks of work into minutes of actionable intelligence.
Key features include AI Grid Agents that process, enrich, and analyze data across thousands of inputs simultaneously, allowing users to review hundreds of documents in one click. The Document & Deck Studio provides a Canva-style experience for creating professional-grade PowerPoint and Word outputs with AI-powered writing, editing, and pixel-perfect deck generation in user templates. The AI Cockpit offers visual dashboards for monitoring portfolio and deal flow in real time, automating custom market intelligence, and tracking company valuations with risk scores.
The Knowledge Hub unifies all company documents, datasets, and files into a single searchable intelligent layer, connecting with Google Drive, Microsoft SharePoint, Capital IQ, Yahoo Finance, Factset, Gmail, Crunchbase, and more. Lampi supports advanced citation mechanisms ensuring every AI insight is traceable to exact data sources, offers multi-model intelligence with GPT, Claude, Gemini, Grok, Mistral, and DeepSeek Qwen, and processes multimodal content including tables, charts, PPTs, PDFs, slides, and audio.
Lampi is built for enterprises handling sensitive information, with private deployments available in VPC and on-premises, end-to-end encryption (AES-256 at rest, TLS in transit), zero data retention, Single Sign-On, role-based access control, and guaranteed no model training on user data. The platform supports 80+ languages and includes an AI meeting assistant that provides transcripts, summaries, and organizes alpha knowledge from meetings into playlists.
Lampi.ai pricing
Pricing model: Free
Lampi AI offers a freemium pricing model with both free and paid plans. Users can start with a free trial after sign-up to create their knowledge base and begin using the platform immediately. Paid plans provide enhanced features and capacity for businesses requiring more advanced capabilities. The platform is positioned as enterprise-focused with flexible deployment options including private VPC and on-premises deployments available on-request for highly sensitive data.
Lampi.ai pros
- Automates 70% of due diligence processes
- Reduces manual data handling by 80%
- 5x faster creation of corporate slides
- 4x more deals analyzed per analyst
- Reviews hundreds of documents in one click
- Processes 1,000+ companies for screening and scoring
- Pixel-perfect decks built directly in user templates
- Advanced citation mechanism for traceable, auditable AI insights
- Multi-model intelligence with GPT, Claude, Gemini, Grok, Mistral, DeepSeek
- Private deployments in VPC and on-premises available
- End-to-end encryption with AES-256 at rest and TLS in transit
- Zero data retention policy ensures privacy
- Data never used to train models
- Supports 80+ languages for global teams
- AI meeting assistant with transcripts and summaries
- Role-based access control with segmented knowledge bases
- Connects to 80+ apps including Teams, Gmail, Slack, Capital IQ
- Real-time risk scoring and alert notifications
- Cross-analyzes and validates insights across heterogeneous sources
- Runs 100+ agents in parallel with full visibility
Lampi.ai cons
- AI is not 100% accurate like humans
- Response quality depends heavily on data quality imported
- Setup time depends on size of content to analyze
- Limited to finance and professional services use cases
- Some integrations still under development
- Document type coverage may require contacting for custom integrations
- Private deployment available only on-request, not standard
- Custom model determines exact language support up to 80+
Frequently asked questions about Lampi.ai
What is Lampi.ai?
Lampi AI is the first ready-to-use confidential AI copilot for enterprises, specifically designed for finance professionals. It is a secure multi-agent orchestration system that automates complex financial workflows by combining real-time verifiable insights, specialized AI agents, and orchestrated workflows to deliver structured, high-quality analysis in minutes instead of weeks.
How do I start using Lampi AI?
Lampi is designed for quick and easy setup. After sign-up, you can start directly by creating your knowledge base, which Lampi will begin learning from immediately. You can upload any documents (text, image, or video) and connect your apps like Teams, Gmail, Slack to create your Knowledge Base. The time to analyze content depends on the size of your data.
What documents can I upload to Lampi?
You can upload any documents including text files, images, and videos. Lampi also connects to apps like Teams, Gmail, and Slack to build your Knowledge Base. The platform supports multiple file formats and is continuously adding more based on user interest. If you need a specific document type or app integration, you can contact Lampi directly.
How secure is my data in Lampi?
Lampi is designed to handle sensitive data with enterprise-grade security. Your documents are analyzed on Lampi GPUs and safely stored encrypted in your VPC or dedicated cloud storage with the highest security standards. Features include end-to-end encryption (AES-256 at rest, TLS in transit), zero data retention, Single Sign-On, role-based access control, and your data is never used to train models. Private deployments in VPC and on-premises are available on-request.
Can Lampi provide answers about any query?
Lampi can provide answers and insights on all queries based on the data that has been imported or connected to your Knowledge Base. However, like humans, AI is not 100% accurate. The quality of responses depends for a large part on the data quality imported in your knowledge base. Lampi uses advanced citation mechanisms to ensure every insight is traceable to exact data sources.
Does Lampi integrate with Slack, Teams, and Google Meet?
Yes, you can integrate Lampi directly into Slack, Teams, Google Meet, and more. Lampi is working on different integrations and you can see their Integration Center for supported applications. If you need a specific integration not yet available, you can contact Lampi to request it.
Is Lampi accessible to all employees in my company?
No, Lampi is designed with strict access controls. You can select the administrator(s) of your knowledge base and give different access levels to your departments with segmented knowledge bases to ensure privacy and confidentiality within your company. You can also fully control which data Lampi accesses from each source with granular data selection.
How many languages does Lampi support?
Lampi supports up to 80+ languages depending on your custom model, meaning it can understand and generate responses in multiple languages. This makes it an excellent tool for global businesses that need to connect knowledge from various sides of the world and require multilingual communication capabilities.
Will Lampi replace human analysts and workers?
No, Lampi is designed to empower productivity and free up time to focus on more complex and value creation tasks. The platform automates repetitive tasks and workflows so analysts, lawyers, and executives can focus on insight, creativity, and impact. It accelerates and amplifies human expertise rather than replacing it.
What AI models does Lampi use?
Lampi leverages the best and latest LLMs including proprietary models (GPT, Claude, Gemini, Grok) and open-source models (Mistral, DeepSeek Qwen, and more). Open-source models are deployed securely within your private environment. You can pick the models you want with flexible LLM selection, including options for models hosted in France/Europe for data sovereignty.