Thoughtly provides a no‑code platform that lets businesses build AI‑powered voice agents for inbound and outbound calls, integrating directly with CRMs via REST APIs. The solution offers drag‑and‑drop workflow design, real‑time analytics, and per‑minute usage pricing, enabling scalable, automated phone interactions for sales, support, and marketing teams.
Funding
$3M 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 phone-based sales, support, or marketing often face high labor costs, limited scalability, and fragmented workflows when integrating call handling with their CRM systems. Manual agents introduce variability in script adherence and make it difficult to capture real-time performance metrics for optimization.
Solution
Thoughtly delivers a no‑code platform for building AI‑powered voice agents that can manage both inbound and outbound calls. The system connects directly to existing CRMs via RESTful APIs, enabling real‑time data exchange and automated lead or ticket updates. Conversational AI models handle intent recognition, dynamic script execution, and call routing without human intervention, while a cloud‑native infrastructure ensures low latency and elastic scaling. Integrated analytics provide per‑call metrics, conversion funnels, and A/B testing capabilities, allowing teams to iteratively refine dialogue flows and improve conversion rates. Pricing is based on a transparent per‑minute usage model, making the solution cost‑predictable for high‑volume call operations.
Target Audience
Primary users are sales enablement teams, customer support centers, and marketing operations groups within mid‑size to enterprise organizations that need to automate high‑volume phone interactions while maintaining CRM data integrity.
Features
- Drag‑and‑drop workflow builder that lets non‑technical users design call scripts, decision trees, and integration points without writing code
- Pre‑trained large‑language‑model (LLM) voice engine with speaker diarization and natural language understanding for intent detection and slot filling
- Bi‑directional CRM synchronization via OAuth‑secured APIs, supporting automatic lead creation, status updates, and activity logging in platforms such as Salesforce, HubSpot, and Microsoft Dynamics
- Real‑time analytics dashboard displaying call volume, average handling time, sentiment scores, and conversion KPIs, with exportable CSV/JSON reports
- Built‑in A/B testing framework for comparing script variants and measuring statistical significance of performance differences
- Outbound dialing scheduler with compliance‑aware call pacing, call‑back handling, and automated retry logic
- End‑to‑end encryption and PCI‑DSS‑compatible call recording storage, with role‑based access controls for auditability
- Scalable serverless backend on major cloud providers, ensuring sub‑second response times and automatic load balancing during peak traffic