Kalygo provides an agentic CRM that unifies contacts, activity timelines, and knowledge assets while embedding customizable LLM‑powered AI agents into sales and support workflows. Teams can import and sync leads, configure agents with proprietary knowledge bases and vector search, and automate lead qualification, conversation handling, and action triggering, allowing them to focus on high‑value interactions.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses often struggle with fragmented customer data and manual, time‑consuming processes for lead qualification, support, and follow‑up, leading to missed opportunities and inconsistent service quality.
Solution
Kalygo offers an agentic CRM platform that unifies contacts, activity timelines, and knowledge assets while embedding customizable LLM‑powered AI agents into everyday workflows. Users import and sync their leads, prospects, and customers, then configure agents with proprietary knowledge bases and vector‑search indexes to ensure responses are grounded in accurate information. The agents can automatically handle inbound conversations, qualify leads, surface relevant insights, and trigger actions such as task creation or email outreach, allowing sales and support teams to focus on high‑value interactions. Multi‑provider AI support lets organizations choose the underlying language model that best fits their performance, cost, or compliance requirements.
Target Audience
Primary customers are sales, business development, and customer support teams in B2B and B2C companies that rely on CRM systems to manage leads and client interactions.
Features
- Unified contact view with a chronological activity timeline covering calls, emails, meetings, and notes
- Drag‑and‑drop configuration of AI agents, including system prompts, model selection, and tool integrations
- Knowledge base upload and vector indexing for semantic search that grounds agent responses in company documents
- Automated lead qualification, conversation handling, and action triggering directly within the CRM interface
- Support for multiple large‑language‑model providers, enabling flexibility in cost and data‑privacy choices
- API access for extending agent capabilities and integrating with external systems