Periskope delivers an AI‑driven agent that operates inside WhatsApp groups and one‑to‑one chats, automatically answering common queries using a company’s knowledge base. The platform’s rule engine creates tickets in integrated systems and routes complex conversations to human agents while preserving context. It targets SMBs, e‑commerce brands, and service providers that rely on WhatsApp for customer support.
Funding
$1.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Businesses that rely on WhatsApp for customer support must manually monitor group chats, answer repetitive queries, and manually create support tickets, which consumes agent time and leads to delayed responses. Scaling this process across multiple teams or languages is difficult without a centralized automation tool.
Solution
Periskope provides an AI‑powered agent that operates directly inside WhatsApp groups and one‑to‑one chats. The agent can be trained on a company’s existing knowledge base, enabling it to answer common questions automatically. Built‑in rule engines detect issue patterns and generate tickets in the preferred ticketing system, while a handoff mechanism routes complex conversations to human agents without breaking the chat context. The platform offers a web‑based console for configuring training data, response rules, and escalation workflows, allowing support teams to maintain control while reducing manual effort.
Target Audience
The solution targets SMBs, e‑commerce brands, and service providers that use WhatsApp as a primary customer‑support channel and need to automate routine interactions while retaining the ability to escalate complex issues to live agents.
Features
- Natural‑language understanding model fine‑tuned on uploaded knowledge‑base documents (FAQs, manuals, policy files)
- Real‑time auto‑response to WhatsApp messages in groups and individual chats
- Configurable rule engine that triggers ticket creation based on keyword patterns, sentiment, or escalation criteria
- Seamless handoff protocol that transfers active conversations to human agents while preserving chat history
- Web dashboard for training data management, rule definition, and monitoring of agent performance metrics
- Secure authentication via Google OAuth or email login, with end‑to‑end encryption for message handling
- API connectors for popular ticketing platforms (e.g., Zendesk, Freshdesk) to synchronize generated tickets automatically