DWAPAR · AI AGENCY

Intelligence, engineered.

Custom AI solutions, designed and deployed end-to-end. Front-desk agents, scheduling, lead generation, workflow automation — built for businesses that demand more than a template.

Founded by an ex-Amazon engineer
Engineered for security & compliance
Delivered end-to-end

WHAT WE BUILD

Solutions that take real work off your team's plate.

Six places we focus. Each one is custom-built for your business — never a template, never an off-the-shelf bot wearing your logo.

Front-desk & voice agents

Phone and chat agents that answer every call, qualify the request, and book appointments — without missing the nuance your team brings.

TwilioDeepgramCalendar APIs

Scheduling, cancellation & operations

Booking, reschedules, cancellations, and follow-ups that flow the way your business actually operates — not the way the calendar tool wants you to.

Google CalendarCalendlyCustom workflows

Lead generation & qualification

Inbound and outbound flows that capture, qualify, and route leads to the right place — with context, not just a name and email.

CRM integrationsWebhooksEmail & SMS

Workflow & back-office automation

Quietly handle the repetitive operations work — invoicing, data entry, document processing, internal handoffs — at production scale.

n8nCustom pipelinesClaude / OpenAI

Websites & web platforms

Marketing sites, client portals, internal dashboards — built to the same engineering bar as the AI that powers them.

Next.jsReactTailwind

Custom solutions, tailored to your business

Whatever the actual problem is. We start with discovery, design the right system for your operations, and engineer it end-to-end.

DiscoveryDesignEnd-to-end build
Every Dwapar deployment is engineered for security and compliance from day one. HIPAA & SOC 2-ready architectures, by default.

HOW A DWAPAR ENGAGEMENT RUNS

A four-step engineering process. No mystery, no scope creep.

  1. Discovery

    We map your actual operations — the workflows, the integrations, the compliance constraints, the thing your team is quietly tired of doing. Free, no pressure, no template intake form.

    Deliverable: a written problem brief and recommendation
  2. Design & security review

    Architecture, integration plan, and a security & compliance review baked into the design — not bolted on at the end. You see the blueprint before we write production code.

    Deliverable: technical design + scoped, fixed-fee engagement
  3. Build & integrate

    Engineered to production standards, integrated with your existing tools, and tested end-to-end against the workflows that actually matter — not just the happy path.

    Deliverable: a working system, integrated and tested in your environment
  4. Deploy & monitor

    Launch with monitoring, alerts, and an iteration loop. Most AI deployments break because nobody's watching them. Ours don't.

    Deliverable: live system + ongoing support tier of your choice

FROM THE FOUNDER

“I spent eight years at Amazon engineering production systems that served hundreds of millions of customers — the kind of place where ‘it works on my machine’ doesn't ship. The bar isn't ‘does it run?’ It's ‘does it run securely, at scale, every time, for every customer, with compliance built in?’

That bar is rare in the AI space right now. There are a lot of demos. There are a lot of templates with logos changed. What I haven't seen enough of is teams treating AI deployments the way you'd treat any other production system that your business actually depends on.

That's what Dwapar is. The engineering bar I learned at Amazon, applied to AI solutions you can actually run your business on.”

Anshita Jain Founder, Dwapar

START A CONVERSATION

Tell us what your team is
quietly tired of doing.

A 30-minute discovery call. We'll listen to the problem, ask the questions a senior engineer would ask, and tell you honestly whether AI is the right tool — or whether it isn't.