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Voice agents connected to real workflows
Follow up with opted-in leads, qualify demand, book the next step, and hand off with context—connected to your CRM, calendar, and operating rules.
Explore this service →Founder-led AI product engineering
Quantum is led by the founder and builder behind Blastr AI, a production voice platform. We bring the same engineering discipline to voice agents, workflow automation, and AI products for teams in the US and Europe.
Founder + product operator
Quantum is led by Vivek Chaudhari, founder and builder of Blastr AI. You work directly with him through discovery, architecture, delivery, and handover—without a sales-to-delivery relay.
Meet Vivek on LinkedIn ↗Founder product record · Not client work
Vivek founded and built Blastr as a production voice platform for consent-based lead follow-up. It connects the call experience to qualification, scheduling, and a human handoff instead of treating the voice model as a standalone demo.
An illustrative four-step Blastr workflow: an opted-in lead requests a conversation, operating rules guide the call, qualification context is captured, and a human receives an owned next step.
The founder record covers the product and its core voice workflow. Quantum uses that operating experience when shaping client voice systems; it does not present Blastr as a Quantum customer.
Three outcomes
The offer stays deliberately narrow: voice workflows, operational automation, and AI product engineering connected to real systems.
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Follow up with opted-in leads, qualify demand, book the next step, and hand off with context—connected to your CRM, calendar, and operating rules.
Explore this service →02
Replace repetitive data entry, routing, reporting, and handoffs with observable workflows that keep humans in control of exceptions.
Explore this service →03
Build or harden AI features with evaluation, guardrails, cost controls, observability, and maintainable software around the model.
Explore this service →Also: web applications, APIs, data pipelines, cloud infrastructure, dashboards, and integrations when they are part of one of these outcomes.
Additional proof
Quantum will add client case studies only when the customer, scope, timeline, result, integrations, and quote are approved for publication.
Founder product record · Not client work
Vivek designed the core architecture for an agri-machinery marketplace platform. The public record is limited to that responsibility; delivery timing, integrations, and commercial outcomes are not published without an approved source.
Delivery process
Four stages keep the business outcome, production conditions, and ownership decision visible from the start.
Confirm the business outcome, data, integrations, constraints, legal and security requirements, and the success measure. Timing depends on access to owners, systems, and decisions.
Ship the smallest production-connected workflow that can prove or disprove the intended result, with written scope and acceptance criteria.
Add failure handling, evaluations, observability, security controls, documentation, and operational ownership around the working path.
Provide the agreed support period, team training, source code, runbooks, and an ownership transition defined in the engagement terms.
Engagement
Pilot pricing is confirmed after fit and scope. Every proposal defines the outcome, fixed scope, written success criteria, customer dependencies, milestone billing, and what happens after the pilot.
Discuss a paid pilotGood fit
Not a fit
Security and procurement
Quantum documents the engagement-specific data flow, access model, model providers, repositories, cloud ownership, retention, deletion, incident contact, and handover responsibilities during scope. This site makes no blanket certification or compliance claim.
Read security and procurement notesLocation and working model
Quantum AI Solutions Private Limited is the Indian contracting entity. The registered and operating base is Ahmedabad, Gujarat. Contracts and invoices are issued by the Indian entity; invoicing currency, working-hour overlap, communication cadence, repositories, and cloud ownership are agreed in writing for each engagement.
Start a project
Share enough context to decide whether a 20-minute technical fit call is useful. Please do not include confidential or sensitive information.
Optional product proof
This is separate from the project enquiry. The number is used only to arrange the single demonstration requested here, not for phone, SMS, WhatsApp, or email marketing.
Call opening“Hi, this is an AI voice assistant calling on behalf of Quantum AI Solutions for the demonstration you requested. You can say ‘stop’ at any time. Is now a good time?”