Venture Velo — AI Solutions

Who We've Worked With

Predictive Sales ML Model

Ticket-Ordering Chatbot

Sales Onboarding Knowledge Base

Vehicle Insurance Calculation Chatbot

What We Do

Internal AI Assistants
Knowledge-base and onboarding systems for sales, ops, and support teams, typically in the form of chatbots and CRMs.

Workflow Automation
Ticket ordering, calculation of insurance pricing, general information chatbots and others.

Analytics Dashboards
Executive-ready KPI dashboards for planning and resource allocation, allowing for improved decision-making.

Case Studies

Toyota — Sales Prioritization Model

Problem: Sales team experienced an overload of customers asking basic questions about car models.

Approach: Trained a neural network on 5,000+ customer records to predict sales outcomes.

Impact: Enabled prioritization of high-value prospects and improved conversion efficiency.

Yeti Airlines — Ticket Purchasing Automation

Problem: High booking friction and manual workload in customer ticketing operations.

Approach: Designed an AI-driven booking chatbot with a commission-based deployment model.

Impact: Demonstrated automation feasibility for high-volume ticket flows.

Ather Energy Nepal — Sales Enablement Assistant

Problem: Sales teams struggled to navigate 48 fragmented SOPs and process documents.

Approach: Built an internal AI knowledge-base chatbot trained on verified documentation.

Impact: Reduced onboarding friction and improved field-level response accuracy.

Shikhar Insurance — Insurance Calculation Chatbot

Problem: Quote previews consumed a large portion of sales time.

Approach: Built a chatbot that abstracts complex pricing rules into a conversational flow.

Impact: Automated insurance calculations and improved customer response speed.

Our Team

Pavlo Denisov

Founder and CEO

Illia Denisov

Co-founder and ML & Chatbot Engineer

Sachi Tamrakar

CTO and Backend Developer

Zach Massarella

Frontend Developer and Graphic Designer

Our Stack

How We Work

We start by breaking down your existing workflows end-to-end, identifying where time, data, or decisions get stuck. This allows us to isolate the exact constraints preventing your team from operating at full speed and efficiency.

Instead of slides or mockups, we deliver a functional prototype within a couple of weeks. This lets clients interact with the solution early, validate assumptions, and provide real feedback before full deployment.

We refine the system using real usage data and team feedback, then integrate it directly into your production environment, ensuring the solution is not just built, but actually used.