Fibonaco provides a no‑code platform for building, layering, and automating AI agent teams, enabling users to design custom solutions or select from ready‑to‑deploy collections. The platform lets users connect multiple self‑acting agents into complex workflows, integrate with popular tools, and scale operations, while its self‑optimizing agents continuously improve performance. All of this is managed through an intuitive interface that streamlines AI workflow creation and automation.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations struggle to implement AI solutions because building, coordinating, and maintaining multiple large language model (LLM) agents requires coding expertise, complex integration work, and ongoing optimization. This technical barrier limits the ability of teams—especially those without deep AI engineering resources—to create scalable, automated workflows that leverage AI effectively.
Solution
MAI (the platform offered by Fibonaco) provides a no‑code environment for designing, layering, and automating teams of AI agents. Users can create custom agents through a visual interface, connect several self‑acting agents into sequential or parallel workflows, and deploy the resulting pipelines with a single click. The platform includes built‑in integrations with common tools and supports popular LLM providers such as OpenAI, Claude, and NIM, enabling end‑to‑end automation without manual API coding. Adaptive agents continuously self‑optimize based on usage patterns, ensuring that workflows remain effective as requirements evolve. A free beta tier allows small teams to experiment with up to 10 teams and 50 agents, while larger organizations can anticipate paid plans for expanded capacity and advanced analytics.
Target Audience
Primary users are product teams, operations groups, and developers in small to medium businesses who need to automate knowledge‑intensive tasks but lack extensive AI engineering resources.
Features
- Visual, drag‑and‑drop builder for creating LLM‑powered agents without writing code
- Workflow composer that lets users layer multiple agents to execute complex, multi‑step processes
- One‑click integration with external applications, file formats (txt, pdf, pptx, docx) and major LLM APIs
- Self‑optimizing agents that automatically refine prompts and parameters based on performance feedback
- Serverless deployment model that abstracts infrastructure management from the user
- Basic analytics dashboard for monitoring agent usage, success rates, and data flow
- Support for OpenAI, Anthropic Claude, and NIM models, with the ability to bring your own API keys