Investor Overview

Compliant AI infrastructure
for regulated industries

Deploy chatbots that are architecturally incapable of mishandling data.

The Problem

Every enterprise wants AI. Regulated industries are stuck.

Can't prove what AI said

No way to show auditors the exact conversation transcript with cryptographic certainty.

Can't guarantee PII safety

Sensitive data flows to LLM providers. Compliance teams can't sign off.

6-12 months to build

Building compliant AI infrastructure from scratch takes too long.

Result: Billions in AI spend, but regulated industries are locked out.

The Solution

DRAGbot is compliant AI infrastructure as a service. Two architectural innovations:

GhostForm Protocol

PII is captured client-side only. The AI receives tokens like {email_filled}. Sensitive data physically cannot reach the LLM.

Not policy. Architecture.

GhostForm data flow: PII stays in browser, only tokens reach LLM

PII → Browser only. Tokens → LLM. Data → Your webhook.

Conversational Provenance

Every conversation turn is SHA-256 hashed and chained. Auditors can mathematically verify transcripts weren't tampered.

One API call to verify.

# Verify any conversation

GET /verify/conv_8f3a2b

{
"valid": true,
"totalTurns": 12,
"invalidTurns": 0
}

How It Works

No code required. Describe what you need, deploy in minutes.

DRAGbot wizard interface showing step-by-step bot creation
1

Upload Documents

PDFs, docs, or paste text. RAG pipeline auto-generated.

2

Define Identity

Name, objective, first message. Preview in real-time.

3

Configure Forms

Describe fields in plain English. GhostForm handles PII.

4

Deploy

One click. Get embed code. Live chatbot.

The Product

Three bot types for different use cases:

Conversational DRAGbots

Q&A grounded in your documents. RAG pipeline auto-generated.

GhostForm DRAGbots

Collect structured data. AI never sees PII.

Context-aware Routers

Intelligent triage to specialized bots.

Why Now

Regulation is accelerating

EU AI Act, HIPAA enforcement, state privacy laws. Compliance is no longer optional.

Enterprises are desperate

They need AI but can't risk compliance failures. Stuck between innovation and regulation.

LLM commoditization

The model doesn't matter. The trust layer does.

Technical Architecture

Cryptographic integrity built into every conversation.

Hash chain diagram showing conversation turns linked via SHA-256

Immutable Conversation History

  • 1Each turn is hashed: user prompt + LLM response + state
  • 2Hash chains to previous turn (like blockchain)
  • 3Tampering breaks the chain — mathematically provable
  • 4Auditors verify via single API call

The Moat

CompetitorRAGDeployPrivacy Guarantee1Crypto Audit2
Botpress
OpenAI Assistants
Intercom Fin
DRAGbot

1 Privacy Guarantee: Architectural enforcement, not policy. PII captured client-side only; LLM receives tokens, never raw data.

2 Crypto Audit: SHA-256 hash chain per conversation turn. Verify integrity via /verify/:id API endpoint.

Compliance is hard to build, easy to buy. We're the buy.

Business Model

Self-serve SaaS

  • •SMBs in regulated verticals
  • •Per-deployment, per-conversation, or seat-based pricing
  • •Self-service onboarding

Enterprise

  • •Custom deployments, SLAs, audit support
  • •Licensed self-hosted on their own infra
  • •Unlimited deploys with enterprise license

The Ask

Raising to:

Platform expansion

Multi-cloud deploy, SSO, teams capabilities

Certifications

SOC 2 / HIPAA certification

Go-to-market

Enterprise sales motion

Not pitching "chatbot platform."

Pitching: "The compliance layer for enterprise AI."

"Every company will deploy AI. Regulated industries need provable trust. We're the infrastructure that makes AI auditable."
Try DRAGbot