Response speed
+32% fasterData foundation
Thousands of sales conversationsEngagement impact
+47% qualified leads
We fine-tuned a Llama-2 model using high-performing sales conversations. This enabled the chatbot to replicate the communication style of experienced marketers and deliver persuasive, contextually relevant responses
Our team designed a layer that dynamically adjusted tone and content for each account, ensuring every conversation felt tailored, not scripted.
We used Huggingface and LangChain to build a framework that supports seamless model updates and future AI upgrades without disrupting lead generation.
Our engineers connected the chatbot with the client’s CRM, enabling real-time data syncing and a clear record of customer interactions.
Advanced NLP techniques ensured the chatbot handled nuanced questions and long dialogues smoothly, maintaining both speed and human-like quality.
Encryption, monitoring, and role-based access protected sensitive customer data, aligning with GDPR and industry standards.
+47% qualified leads
The chatbot generated nearly half again as many sales-ready leads by holding conversations that felt personal and relevant.
3× more engagement
Interactions with the sales team tripled in six months, reflecting stronger prospect interest and deeper conversations.
32% faster response time
The system reduced the average response time by nearly a third, allowing sales teams to follow up more quickly and close more opportunities
✓ Trained Llama 2 on thousands of expert sales conversations
✓ Added a personalization engine to tailor replies at scale
✓ Deployed with Hugging Face and LangChain for flexibility and fast upgrades
✓ Embedded CRM integration, encryption, and audit controls; aligned with GDPR
Danil Yasynskyi,Founder & CEO“They have the skills to talk about complex things in the easiest way.”
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Before you go — our clients cut delivery costs by up to 40% and launch products twice as fast.
