Ariel Cohen

Co-Founder

Tel Aviv District, Israel11 yrs 4 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Generated $100K in revenue within 90 days.
  • Grew LinkedIn following from 1,600 to 34,000 organically.
  • Coaches B2B founders to optimize LinkedIn for lead generation.
Stackforce AI infers this person is a B2B SaaS expert specializing in AI-driven solutions and LinkedIn growth strategies.

Contact

Skills

Core Skills

Ai StrategyLinkedin Growth StrategyVoice AiAlgorithm DevelopmentDeep LearningSpeech ProcessingApplied Research

Other Skills

ConsultingLinkedIn Lead GenerationB2B Content MarketingVoice TechnologyAI Strategy & ImplementationBusiness OwnershipFounder-Led MarketingAI Strategy & Business Process DesignVoice AI System Architecture & ImplementationSpeed-to-Lead OptimizationProcess Automation StrategyAI-Powered Sales EnablementAI Growth PartnerC (Programming Language)Teamwork

About

I run an AI agency. I also coach B2B founders on turning LinkedIn into a real pipeline. Most founders here are brilliant operators. They can close deals and deliver results. But their LinkedIn? Random posts, no system, and a calendar that depends on referrals, luck, or spammy outbound. That was me. I built The Voice Box, an AI solutions agency, from zero. M.Sc. in deep learning. Former AI Team Lead. Published researcher. I had the technical chops and no predictable deal flow. So I treated LinkedIn like a system problem. I reverse-engineered what worked, tested relentlessly, and built an inbound engine that looks like this: → $100K closed in 90 days from LinkedIn lead magnets → 400,000 decision makers reached organically → 34,000+ followers from 1,600, with $0 in ads Now I help B2B service & expert founders do the same through The Inbound Pipeline Build: 1. Reverse-engineer your market (100–200 posts from top creators in your niche) 2. Define the real ICP (the emotional core, not a persona doc) 3. Rebuild your profile as a landing page for that person 4. Install an AI-powered content system in your voice 5. Run a targeted commenting strategy so the right people see you everywhere 6. Launch lead magnets that pull your ICP into your DMs 7. Work a qualifying DM sequence that turns conversations into booked calls No volume-for-the-sake-of-volume. No pitch-slapping. No ghostwriting your voice before you’ve even found it. Precision, systems, and data. The promise: We build your inbound LinkedIn pipeline together. If you don’t book 10 qualified meetings in 90 days, I keep working with you free until you do. If you’re a B2B founder and LinkedIn feels random, DM me “PIPELINE” or book a strategy call.

Experience

The voice box

Founder

Apr 2025Present · 11 mos · Remote

  • The Voice Box is an AI solutions agency helping businesses unlock growth with custom voice agents, AI audits, and automation.
  • Running the agency forced me to solve my own biggest problem: predictable pipeline. I built an inbound LinkedIn system from scratch, then started teaching it to other founders.
  • Agency work:
  • Custom voice AI agents for B2B service businesses (SMB & Enterprise)
  • 360° AI opportunity audits
  • Automation systems that cut operational drag and response times
  • LinkedIn pipeline results (for myself and clients):
  • $100K in new revenue closed within 90 days using LinkedIn lead magnets
  • 400,000+ decision makers reached through organic content
  • 34,000+ followers built with $0 ad spend
  • Clients booking 5–10 qualified meetings a week from inbound
  • I call the process The Inbound Pipeline Build: founder-to-founder LinkedIn pipeline coaching for B2B service & expert founders.
Voice AIConsultingAI StrategyLinkedIn Growth Strategy

Corsound ai

2 roles

AI Team Lead

Promoted

Sep 2024Apr 2025 · 7 mos · Hybrid

  • Led a team of three researchers to deliver production‑grade Voice AI solutions, achieving deep‑fake detection with balanced accuracy above 98% across multiple languages and scenarios.
Voice AIAlgorithm Development

Algorithm Developer

Mar 2024Sep 2024 · 6 mos · Hybrid

  • Currently researching innovative solutions for audio deep fake detection, integrating cutting-edge deep learning algorithms to enhance audio security and authenticity verification.
Algorithm DevelopmentDeep Learning

Verbit.ai

Applied Researcher - Speech and Acoustics

Feb 2022Nov 2023 · 1 yr 9 mos · Tel Aviv, Israel · Hybrid

  • Lead several high profile applied research projects (e2e): business justification, literature review, algorithm design & development, data collection, model training and benchmarking, optimization, productizing and continuous testing at scale both with users and customers to ensure KPIs are met.
  • Fields included: Speech enhancement (noise reduction), SNR Estimation, Audio profiling, multichannel speech enhancement, Robust ASR, Voice Activity Detection (VAD).
Voice TechnologyAlgorithm DevelopmentSpeech ProcessingApplied Research

Ben-gurion university of the negev

Graduate Student Researcher

Jul 2019Jan 2022 · 2 yrs 6 mos · Be’er Sheva Area, Israel

  • Research Included deep learning algorithms for protecting automatic speaker verification systems (ASV) from the threat of audio deep fake / spoofing
  • Journal Paper: "A Study on Data Augmentation In Voice Anti-Spoofing", Speech Communication journal, Volume 141, June 2022, Pages 56-67
  • Achieved state of the art results (8% Error reduction from the best score) in the international ASVspoof 2021 challenge in the Deep Fake category. We developed data augmentation techniques, feature design ideas and a statistically meaningful Spec Average method that all contributed toward achieving a state of the art system.

Classified

2 roles

Project Manager

Jul 2014Jul 2016 · 2 yrs · Tel Aviv Area, Israel

  • Weaponry and Technology Dept. Responsibilities included Managing technological projects.

Technology Officer

Jul 2010Jul 2014 · 4 yrs · Tel Aviv Area, Israel

  • Technology officer. Responsibilities included evaluating new technologies (software, recording systems, electro-optic sensors and communication systems), commanding the squadrons tech team, planning and executing complex airborne experiments.

Education

Ben-Gurion University of the Negev

Master's degree — Deep learning algorithms for fake speech detection

Jan 2019Jan 2021

Ben-Gurion University of the Negev

Bachelor's degree

Jan 2016Jan 2020

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