Akshun Dogra × REMATIQ | hire.akshundogra.com/rematiq

Driving MedTech compliance adoption through automated regulatory intent crawlers

REMATIQ solves document-heavy compliance challenges with explainable AI and full audit traceability for MedTech, Life Sciences, and clean-tech teams. As European regulatory frameworks like MDR and IVDR increase compliance complexity, capturing Quality and Regulatory directors requires a signal-driven outbound and inbound acquisition stack.

My technical background in building multi-agent AI pipelines (Python, Claude Code, n8n, Clay) directly aligns with your Marketing Lead role. I build signal-driven account scoring, automated regulatory intent crawlers, and CRM enrichment engines — delivering warm, pre-qualified compliance leads to sales without manual SDR overhead.

Part marketer,
part engineer.

I don't fit neatly in one box — and that's the point. I design systems that connect data to revenue across paid, organic, automation, and full-funnel GTM intelligence.

📈

Performance Marketing

End-to-end paid media across Google, Meta, and LinkedIn. 36x+ ROAS, $50K+ monthly budgets managed. Demand creation and capture in one unified funnel.

At Ingestro & Theo — cut CPC 20%, raised CTR 30%, and recovered €32.7k in suppressed conversion value & ad waste.

Google Ads

Meta Ads

LinkedIn Ads

A/B Testing

Full-funnel architecture

Demand Creation LinkedIn · Meta

↓

Demand Capture Google Search

↓

Retargeting Display · Social

36x+ Peak ROAS achieved

⚡

Marketing Automation

Full pipelines from intent signal to outreach with human-in-the-loop gates. −80% manual SDR effort. Built on Make, Clay, Apollo, Lemlist.

At Ingestro & Theo — built RB2B → Clay → Lemlist pipeline and native CRM lead scoring, cutting SDR effort 80%.

Make

Clay

Apollo

Lemlist

HubSpot

Intent signal pipeline

🌐

RB2B

Visitor ID

→

🔗

Apollo

Enrich

→

Make

Route

→

🧱

Clay

ICP Score

HIGH

📧 Lemlist

MID

💬 SDR Review

LOW

🗑 Discard

−80% Manual SDR effort saved

Most relevant for REMATIQ

🎯

GTM Signal Intelligence

Full-pipeline value capture — from raw public signals to scored, routed accounts. I built an autonomous research agent that turns funding, hiring, ad-presence, and tech-stack signals into a live fit score before a single outbound message goes out.

At Ingestro & Theo — built signal-scoring engine evaluating funding stage, hiring velocity, and channel gaps to prioritize account outreach.

Signal Scoring

Fit Tiering

Evidence Routing

Autonomous Research

Signal-to-pipeline engine

🌐

Scraper

6 Modules

→

💼

Signals

Jobs & Stack

→

🎯

Score Engine

0–100 Score

→

⚡

ABM Page

Auto-Publish

HIGH (80+)

⚡ Auto-Publish & AE Route

MID (55-79)

💬 SDR Approval Review

LOW (<55)

⏳ Nurture / Hold

100% Signal-traceable, zero guesswork

🔍

SEO & GEO

Technical SEO, schema markup, and LLM/GEO visibility strategy. 400% organic growth. Early practitioner of Generative Engine Optimisation.

At Ingestro & Theo — AI-sourced traffic scaled 1% → 20% of sessions, contributing 10% of total pipeline.

SEMrush

GA4

Schema

GEO

Python

LLM visibility strategy

📐

Dynamic Schema

Per-page structured data, LLM-readable

🔎

Prompt Tracking

Peec AI + Search Console gaps

💬

Community Signals

Reddit + LinkedIn citations

⭐

Authority Profiles

G2 + Crunchbase optimised

400% Organic traffic growth

💻

Technical Marketing

Webflow builds, GTM, conversion tracking, and ABM page generation at scale. I build and measure without needing a dev team.

At Ingestro & Theo — built personalized ABM pages & 5 governed GTM AI agents (Python + Claude + n8n + HubSpot).

Webflow

GTM

HTML/CSS

Tracking & measurement stack

Webflow

HTML/CSS/JS

↓ events fire

Google Tag Manager Central hub

↓ distributes to

GA4

FB Pixel

Google Ads

0 Dev team needed

What I'd do in the
first 90 days

I reduced manual SDR effort by 80% by building an intent-signal pipeline connecting RB2B, Apollo, Make, Clay, and Lemlist — and built personalised ABM landing pages at scale using Make, Clay, and Webflow. For REMATIQ, that means deploying automated MedTech account qualification, compliance demand pipelines, and server-side conversion tracking without scaling headcount. My technical background in systems and data means I can work directly with your internal product and engineering teams, not around them.

Audit & upgrade MedTech compliance lead-to-call workflow — Sit directly with your Founders and Engineering leads to audit how inbound regulatory AI inquiry leads flow through HubSpot / Pipedrive. Identify manual triage bottlenecks across MedTech & Life Science accounts and streamline lead routing.
Success test: reliable lead data fields, clear ownership, and an agreed baseline for founder research time saved.

Deploy native account scoring & regulatory enrichment pipelines — Build and run multi-model AI enrichment agents (Python, Claude Code, REST APIs) across target European MedTech & Life Science accounts. Build native account & role scoring directly in CRM using captured inputs (domain, regulatory framework MDR/IVDR, compliance team size, role) — zero extra tool spend required until proven necessary.
Success test: sales leads accept scored regulatory accounts with low false positives.

Launch signal-triggered outbound & demo-prep workflows — Two connected workflows: qualified MedTech accounts enter a concise, signal-led sequence; when a prospect requests a consultation, an automation enriches the record and sends the assigned founder/AE a Slack meeting brief before the call.

Day 1 – Email: relevant MDR/IVDR compliance observation + AI audit angle
Day 3 – LinkedIn: connection note referencing document automation
Day 6 – Email: offer a free regulatory AI compliance benchmark report
Day 10 – Email: practical follow-up or MedTech case-study angle
Day 14 – Break-up note

Success test: meetings per founder/AE hour outperform the current cold-list baseline.

💡 ROI Business Case · Pilot Benchmark

Pilot target: 80 sales-ready accounts per month, measured against meeting rate, AE acceptance rate, and research time saved per qualified account. If AEs convert 8% of cold outbound vs. 30% of warm, pre-qualified accounts, signal-led native scoring pays for itself in week one.

I already did some
homework.

I evaluated REMATIQ's public web presence, ad footprints, and GTM hiring signals to highlight immediate growth opportunities.

⬡ Observations · REMATIQ Fit Score: 98/100 (HIGH_FIT)

ACCOUNT FIT SCORE

98/100 HIGH_FIT

📝

MedTech GTM System-of-Record Check — Public disclosures show active tracking scripts across Google Tag Manager and GA4. Before adding new AI automation, I would clarify which platform owns regulatory demo stage, attribution, and outbound-trigger logic.
⚡

High-Intent Compliance Consultation Data Exists — Regulatory AI demo request and audit software inquiry flows collect company domain, MedTech sub-sector, target regulation (MDR/IVDR), and role — enough to begin a CRM-native qualification pilot without buying another data tool first.
⚠️

Regulatory Audit Urgency Qualification — EU MDR/IVDR compliance deadlines make audit-traceability software adoption a live commercial issue for Life Sciences businesses. The opportunity is identifying where technical readiness, audit dates, and documentation gaps overlap — not treating every lead as equally urgent.
✓

Conversion Path to Build On — REMATIQ's compliance AI demo booking form creates a high-intent entry point. The next opportunity is connecting demo inputs, regulatory firmographics, and follow-up ownership into one measurable route to sales.
✓

All tested pages feature complete page titles and meta descriptions.
i

I can share a Loom walkthrough with more detail — just ask.

ℹ

Data Transparency: Observations are generated autonomously by my 6-module GTM Signal Research Agent (evaluating SpyFu PPC/SEO indices, Screaming Frog crawls, live DOM tag footprints, careers board velocity, and public funding data). Because public third-party tools rely on external sampling, estimated metrics can differ or underreport actual figures by 3–5x — real operating budgets, traffic, and internal team metrics are almost always higher or different than what is publicly visible.

Marketing, engineering,
and a lot of borders crossed.

My name, Akshun, means "undestructable" in Sanskrit. That's not a personal brand line — it genuinely shapes how I move. I don't quit on campaigns, goals, or challenges like learning German from scratch after landing in a new country.

I started freelancing in digital marketing at 19 in India — working with Punjabi music artists, Australian businesses, and tech clients before I'd ever left the country. That early pressure to figure things out without a team or a budget is where the technical + creative hybrid came from.

I moved to Nürnberg in 2022 for an M.Sc. at FAU, added an Erasmus semester in Madrid, hit German C1, and picked up enough Spanish to embarrass myself. Outside the dashboards, I run a YouTube channel documenting the unfiltered reality of being an Indian expat in Germany — no filters, real stories.

What I keep coming back to: the best marketing sits at the intersection of creativity, data, and technical execution. Most teams have one or two. I try to bring all three.

🇮🇳

India — Where it started

Started freelancing at 19. Music artists, Australian businesses, tech clients. Taught myself SEO, PPC, and web dev out of necessity.

2016 – 2022

🇩🇪

Germany — The big leap

M.Sc. at FAU Erlangen-Nürnberg. German to C1. Joined an AI startup, built full growth stack from scratch.

2022 – Present

🇪🇸

Spain — The bonus chapter

Erasmus at UPM Madrid. Picked up Spanish, confirmed food in Madrid is genuinely incredible.

Sep 2024 – Jan 2025

▶

On YouTube

The unfiltered reality of moving from India to Germany — visa stress, language barriers, real stories.

youtube.com/@akshundogra →

hover to meet the person behind the marketer →

The man behind all of this.

Akshun Dogra · Technical Growth Marketer

Targeting Quality & Regulatory heads with intent signals,
engineered for REMATIQ,
let's automate your MedTech pipeline.

Driving MedTech compliance adoption through automated regulatory intent crawlers

Part marketer,
part engineer.

What I'd do in the
first 90 days

I already did some
homework.

Marketing, engineering,
and a lot of borders crossed.

Did we just build
something worth pursuing?

This page was built
specifically for REMATIQ.

Glad you stopped by,
REMATIQ.

Targeting Quality & Regulatory heads with intent signals, engineered for REMATIQ, let's automate your MedTech pipeline.

Driving MedTech compliance adoption through automated regulatory intent crawlers

Part marketer,part engineer.

What I'd do in thefirst 90 days

I already did somehomework.

Marketing, engineering,and a lot of borders crossed.

Did we just buildsomething worth pursuing?

This page was builtspecifically for REMATIQ.

Glad you stopped by,REMATIQ.

Targeting Quality & Regulatory heads with intent signals,
engineered for REMATIQ,
let's automate your MedTech pipeline.

Part marketer,
part engineer.

What I'd do in the
first 90 days

I already did some
homework.

Marketing, engineering,
and a lot of borders crossed.

Did we just build
something worth pursuing?

This page was built
specifically for REMATIQ.

Glad you stopped by,
REMATIQ.