Cimba.AI Raises $1.25M in Pre-Seed Funding

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By training itself using existing organizational data, Cimba constantly adapts its knowledge base without the need for data scientists to manually feed it info – something that has been costly and inefficient for growing businesses to do.

Cimba.AI, a Seattle, WA-based Gen AI-native platform creating custom AI agents, raised $1.25M in Pre-Seed funding.

The round was led by Ripple Ventures, with participation from SeaChange, PackVC, and angel investors like Chad Sanderson and Chris Riccomini. 

The company intends to use the funds to expand operations and its business reach.

Founded by Subrata (Subu) Biswas, CEO, and  Vishal Das, Cimba.AI offers an adaptive Gen AI-based analytics agent infrastructure. It helps organizations optimize their business operations at scale by generating dynamic workflows and triggering actions using natural language via adaptive analytics AI agents. The platform uses self-training artificial intelligence that adapts to an organization’s specific knowledge base, including dashboards, query history, metadata, and playbooks. Business operations teams, such as CS, RevOps, and SalesOps, can leverage these AI agents to tackle intricate business goals and trigger subsequent actions based on their data in the data warehouse, such as Snowflake.

Cimba provides both business users and data practitioners with an interface to turn their data into useful business actions with the following capabilities:

  • Text-to-workflow to solve complex business challenges
  • Trigger action from insights – AI can suggest the next recommended actions, agents can help trigger those.
  • Train AI agents using SQL & Natural Language – Users can train adaptive AI agents using a feedback loop, natural language, or SQL.

FinSMEs

07/02/2024