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Build a high-growth revenue team with AI
- Lessons from CROs on building high-growth revenue teams
- Practical plays from Winning by Design + Terret
When we reintroduced our company as Terret, we shared our vision: to guide revenue leaders with clarity and precision into a new era of growth. In this post, I want to answer a question many CROs and CTOs are asking right now:
“With so many companies talking about AI agents, why Terret?”
Over the last year, the market has been flooded with “AI agent” announcements. Most of these tools are:
That’s not what Terret is.
Where others provide point bots, Terret delivers a Virtual Revenue Fleet—a suite of interconnected agents that work in concert across the entire revenue cycle.
Most “AI-first” tools weren’t built with the enterprise in mind. Terret was. From day one, we designed for the scale, security, and complexity of global GTM organizations.
This isn’t a layer on top of your systems. It’s a foundation you can build on.
While others experiment with a single LLM, Terret optimizes across a network of models (Mistral, OpenAI, Anthropic, DeepSeek) to deliver the right balance of speed, cost, and accuracy.
This combination makes Terret not just smarter, but also practical, scalable, and adaptable.
Talk is cheap. Results matter. Terret is already trusted by companies like Cloudflare, Carta, and Mistral to power their GTM operations.
Anyone can put “agent” on a slide. What sets Terret apart is the combination of:
That’s why Terret isn’t just another agent company. It’s the platform that makes agents real.
Welcome to the future of revenue. Welcome to Terret.
Amit Sasturkar is the Co-Founder & CTO at Terret, where he leads the engineering and product teams, and works on building Revenue Agents to help make sales teams more productive. Amit is a seasoned founder who also co-founded OpsClarity, an intelligent APM for modern web-scale applications. Amit has spent several years at Google Search and Yahoo Search, building large-scale AI and backend systems, and has several research papers and patents in web-scale data mining and operational data analytics.
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