AIWaveSfera
Unlocking distributed knowledge across organizations
An intelligent conversational platform that unifies access to distributed enterprise knowledge. Through a single natural language interaction, it orchestrates information across documents, databases, and external systems.It helps delivering accurate, traceable answers while surfacing related insights and enabling deeper, more informed decision-making.
From fragmented information to unified intelligent access
In complex organizations, information is scattered across multiple systems, making it difficult to locate, connect, and trust. Traditional approaches require navigating separate environments, slowing processes and increasing dependency on a few knowledge holders. As data grows, fragmentation limits efficiency, visibility, and timely decision-making. Sfera addresses these challenges by orchestrating access to diverse sources through a unified experience, delivering reliable answers with clear references and enabling faster exploration of relevant information.
Features
Sfera is a multi-agent application that enables accurate answers, always supported by cited sources and enriched with related content suggestions.
Governed Agentic Search
A set of customizable rules designed to regulate the behavior of each agent.
1
Discovery of Related Content
Responses are accompanied by a list of thematically connected resources.
2
Integration of Diverse Resources
Access Documents, FAQs, databases, APIs, and MCP are via a single conversational interface.
3
Multi-agent Architecture
Automatically selects and activates the most suitable agent based on the nature of the request.
4
Direct Access to Sources
Each response is linked to a document resource, which can be downloaded directly from the interface.
5
On-demand Analysis of New Documents
Information can be extracted from non-indexed files simply by uploading them into the search bar.
6
Benefits
Discover how Generative AI can disrupt all your current business processes, streamlining workflows and improving output quality.
Faster
Decisions
Reduce
Complexity
Knowledge
Sharing
Make organizational knowledge accessible beyond individual expertise.
Improve Reliability
Greater Efficiency
Use Cases
Ticket
Automation
Sfera coordinates multiple agents to analyze requests, retrieve data from enterprise systems, and update tickets or cases. Through tools and MCP integrations, it can operate directly on target platforms, reducing manual effort and response times.
Incident
Response
Sfera monitors events from applications, databases, and monitoring systems, activating the most appropriate agents to investigate issues. It can automatically create tickets, notify stakeholders, and update operational systems.
Process
Orchestration
Sfera manages processes spanning multiple departments and platforms, coordinating specialized agents to gather data, verify requirements, and execute operational tasks. Through MCP and API integrations, it can take action directly within enterprise systems instead of simply providing information.
Sfera & AIWaveStudio
Through AIWave Studio, the no-code and low-code environment for configuring AI applications, organizations can design and customize Sfera instances by integrating information sources, AI agents, and business processes.
Getting Started
A step-by-step guide to illustrate how you can easily access all your organization's knowledge through conversational capabilities powered by Generative AI.
1
Interact with your AI agent
Start each session with a simple natural language question. An intelligent multi-agent architecture automatically selects the most relevant sources to generate the answer.
2
Explore your data
The system retrieves information across document repositories, databases, external services via API/MCP, and other agents, providing a unified view of enterprise knowledge.
3
Analyze new documents
Upload one or more files not included in existing knowledge bases and instantly extract insights through the AI assistant.
4
Get reliable answers
All responses are supported by clear references to the original sources, ensuring transparency and verifiability.
5
Expand your search
Alongside the answer, the interface suggests additional related resources, enabling deeper exploration and a broader understanding of the topic.
6
Continue the conversation
Ask follow-up questions naturally and progressively refine your inquiry without restarting the search.
7
Access original content
Open source documents and view the exact excerpts that contributed to the generated answer.
8
Query databases in natural language
Extract data from databases using simple questions, without technical queries or switching between tools.
9
Connect external systems
Integrate external services via API/MCP to exchange data, trigger actions, and support complex processes directly within the same interface.
