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Modulate

AI CybersecurityVerified95% conf

AI-powered deepfake voice detection API for fraud prevention and voice authentication

modulate.ai ↗

📍 Somerville, Massachusetts

Verified Data

💰

Revenue$5.5M ARR

“$5.5M (2023 revenue estimate)”

🚀

Funding$32M Series A

“$32M”

📊

Monthly Traffic30K-50K visits/month

“~30,000 - 50,000 visits (estimated B2B traffic)”

👥

UsersHundreds of millions of players

“Hundreds of millions of players (via Activision/Call of Duty and other gaming partners)”

🧑‍💻

Team Size49 employees

“~49 employees”

📈

GrowthScaling to 100M+ monthly players

“5x infrastructure cost reduction; scaling to 100M+ monthly players; 90% cost advantage over competitors in transcription”

🏷️

StageSeries A

📅

Founded2017

Company Profile

ModelB2B SaaS

VerticalGaming, Online platforms, Enterprise contact centers, Fraud prevention

ClientsActivision (Call of Duty), Schell Games, Ramen VR, Other Ocean, Gun Raiders, Amazon Connect, Twilio

BuyersAAA and indie game studios, trust and safety departments, online social communities, enterprise security teams

PricingVelma Deepfake Detection $0.25/hour, Velma Transcribe $0.03/hour, ToxMod Booster Tier for <100K MAU, ToxMod Enterprise custom pricing

Contact

✉️ [email protected] LinkedIn

@modulate_ai

Strategic Analysis

Strategy

API-first approach targeting voice safety and fraud prevention across gaming and enterprise markets. Building proprietary Ensemble Listening Model (ELM) architecture to compete on cost and accuracy against traditional LLM-based solutions. Land-and-expand strategy starting with gaming studios and expanding into contact centers and fraud prevention.

Tactics

Aggressive pricing strategy with 90% cost advantage over competitors like Deepgram and ElevenLabs. AWS Marketplace integration for enterprise distribution. Direct partnerships with major gaming studios like Activision. Technical differentiation through custom AI architecture optimized for conversational audio rather than general-purpose LLMs.

Competitive Positioning

Competes with Deepgram, ElevenLabs, and other voice AI providers on transcription and fraud detection. Differentiates on cost (90% lower pricing) and accuracy for real-world conversational audio. Positions ELM architecture as superior to LLMs for voice understanding tasks, targeting full-call fraud detection vs. snippet-based approaches.

Marketing Approach

Technical content marketing through AWS partnership and case studies. Direct enterprise sales for large gaming studios and contact centers. Product-led growth through API trials and AWS Marketplace listing. Press releases highlighting cost advantages and technical breakthroughs to establish thought leadership.