Vocadian
- Company typePrivate
- Founded2023
- HeadquartersBoston, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
Vocadian firmographics
Firmographics- Name
- Vocadian
- Legal name
- Vocadian, Inc.
- Website
- https://vocadian.ai
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Ownership category
- akta.pro rank
Vocadian industry classification
Industry- Product category
- Workforce Safety Voice AI Software
- akta.pro industry
- Audio & Speech Analytics (call analytics, QA, insights)Hardware, Technology & Telecom/Artificial Intelligence & Machine Learning/Speech, Audio & Conversational AI
Keywords
Where Vocadian is headquartered
LocationHeadquarters
- HQ city
- Boston
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
Vocadian business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Operations
Revenue model
- B2B SaaS Platform Subscription: Voice AI-powered SaaS platform for workforce safety and fatigue management sold on a subscription basis to enterprise customers in safety-critical industries. Platform includes pre-shift speech assessments, fatigue scoring, drowsiness prediction, and workforce dashboards.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise B2B SaaS — terms negotiated individually |
Go-to-market motion3 records
Distribution channels3 records
Marketing channels8 records
Vocadian product offering
Product offeringCore offering
Vocadian sells a voice AI-powered B2B SaaS platform that conducts predictive fatigue assessment and drowsiness window forecasting for frontline workers in safety-critical industries. The platform is accessed through a 30-second pre-shift speech task on existing devices, requires no additional hardware, and produces fatigue prediction scores that feed a fleet management dashboard (Vocadrive) for compliance tracking, workforce benchmarking, and risk mitigation.
Product overview
Vocadian offers a unified B2B SaaS platform for predictive fatigue risk management targeting high-stakes operations. The core product consists of the Vocadian Platform for voice-based fatigue assessment, the Vocadrive Fleet Manager Dashboard for team management, and a 30-Second Pre-Shift Speech Assessment module for rapid fitness-for-duty screening. These components work together through voice AI to enable predictive analytics, compliance tracking, and real-time drowsiness window prediction—without requiring additional hardware. The platform is designed for safety-critical industries including transportation, logistics, mining, construction, aviation, and healthcare, with planned expansion into alcohol/substance detection and occupational disease prediction.
Differentiator
Problem solved
Functional benefit
Products and services
- Vocadian Platform
- Vocadrive (Fleet Manager Dashboard)
Quantifiable outcome
- Fatigue contributes to over 100,000 preventable injuries and loss of life annually in the US
- +6 more outcomes
Companies that use Vocadian
Customer profileNamed customers4 records
Segments5 records
Ideal customer profiles4 records
Vocadian technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability3 records
Feature5 records
Vocadian partnerships and signals
Strategic signalPartnerships
17 partnerships are on record, tiered flagship, core and minor.
- Emirates AirlineflagshipSelected as 1 of 2 ventures for Aviation X Lab Cycle 4 Moonshot Program Proof of Concept phase. Vocadian will collaborate with Emirates and partners (Thales, Collins Aerospace, GE Aerospace, Airbus) to develop and test voice AI solutions for pilot and crew fatigue management. Showcase planned at ForsaTEK 2025, Emirates Group's annual innovation forum.
- ThalescoreAviation X Lab partner contributing to PoC development of Vocadian's fatigue detection solution in aviation safety ecosystem alongside Emirates, Collins Aerospace, GE Aerospace, and Airbus.
- Collins AerospacecorePart of Aviation X Lab Cycle 4 Moonshot Program collaboration to integrate Vocadian's voice AI fatigue management into aviation safety ecosystem.
- GE AerospacecoreAviation X Lab partner collaborating on PoC phase to integrate Vocadian's predictive fatigue technology into aviation operations.
- AirbuscoreAviation X Lab partner collaborating on PoC phase to validate Vocadian's fatigue management solution within aviation ecosystem.
- MIT Startup ExchangecoreMIT-affiliated startup exchange program that featured Vocadian at the 2025 MIT AI Conference as one of 10 AI startups to watch. Provides ecosystem support, networking, and visibility for MIT-connected ventures.
- Harvard Innovation LabscoreHarvard's startup accelerator and innovation hub. Vocadian participated in Harvard HealthLab Accelerator (won $20K grand prize), Harvard LLX Alumni Accelerator, and Harvard President's Innovation Challenge. Primary source of academic legitimacy and early-stage support.
- Creative Destruction Lab (CDL-Montreal)coreVocadian graduated from CDL-Montreal Artificial Intelligence Stream 2025/26 cohort. Canadian accelerator providing AI-focused mentorship, peer learning, and investor networking.
- National Safety CouncilcoreSelected as semifinalist in NSC 2026 Work to Zero Safety Innovation Challenge focused on workplace fatigue. NSC collaboration with Brigham and Women's Hospital provides scientific backing for fatigue cost calculator integrated into Vocadian's educational content.
- TechCrunchminorSelected for TechCrunch's 2025 Startup Battlefield 200, competing as top 33 finalist in Health & Wellness category. TechCrunch provides high-visibility platform for startup launches and investor/partner networking.
- Brigham and Women's HospitalcoreFounder Yujie Wang is a researcher in Brigham and Women's Hospital Sleep Medicine Division. NSC collaborated with Brigham and Women's Hospital to develop evidence-based fatigue cost calculator. Scientific collaboration provides clinical credibility for voice-based fatigue detection technology.
- MITcoreFounder Yujie Wang is a researcher at MIT Media Lab. Vocadian is featured by MIT Startup Exchange and MIT Industrial Liaison Program. Won MIT $100K Accelerate competition (1st Place Grand Prize). Accepted into MIT 15.378 GSD class as top 6 venture. MIT ecosystem provides research legitimacy and talent pipeline.
- Harvard Medical SchoolcoreFounder Yujie Wang is a researcher at Harvard Medical School. Academic affiliation provides clinical research credibility for voice biomarker development and digital health applications.
- DMCC AI Center (Dubai Multi Commodities Centre)minorVocadian was selected as finalist for MIT & Harvard Startups Demo Session at Future 100 at Investopia presented at DMCC AI Center in Dubai. DMCC provides market entry pathway to UAE and Middle East ecosystems.
- Dubai Future FoundationminorCo-organizer of Dubai Future Forum and Prototypes for Humanity award, where Vocadian won the Urban Society Category. Foundation recognition provides global visibility and credibility across 120 countries.
- Summerfest Tech / Wisconsin Economic Development CorporationminorVocadian won 1st Place in Healthcare/Biohealth track at Summerfest Tech Pitch Competition. Sponsor Wisconsin EDC provides connections to Wisconsin tech ecosystem and regional credibility.
- MicrosoftminorTopContenders Startup Showcase hosted at Microsoft Cambridge Campus. Provides venue and platform for showcasing Vocadian to Microsoft partner ecosystem and Boston tech community.
Scale indicators13 records
Recent moves6 records
Expansion highlights7 records
Vocadian competitors and assessment
Company assessmentDirect peers
- Canary Speech: Canary Speech develops voice biomarker technology for real-time health monitoring and disease detection, sharing Vocadian's core approach of using proprietary vocal features for clinical and workplace health assessment.
- Kintsugi: Kintsugi uses voice biomarker AI to detect mental health conditions such as depression and anxiety, applying proprietary vocal feature analysis in a similar B2B health-monitoring model to Vocadian.
- Sonde Health: Sonde Health is a voice biomarker platform that analyzes vocal features to detect and monitor health conditions, sharing Vocadian's foundational speech-science approach to physiological and cognitive assessment.
- Cordio Medical: Cordio Medical applies voice analysis to detect and monitor heart failure and pulmonary conditions, employing proprietary vocal feature extraction in a comparable B2B clinical/enterprise health model.
- Ellipsis Health: Ellipsis Health uses voice AI to detect signs of depression and anxiety through speech analysis, sharing Vocadian's B2B voice biomarker model targeting health and workplace wellness outcomes.
- Aural Analytics: Aural Analytics builds speech analytics platforms for neurological and respiratory health assessment, sharing Vocadian's foundational speech-science DNA and a team lineage (Sherman Charles previously worked there).
- Optalert: Optalert provides drowsiness and fatigue detection technology for drivers and safety-critical workers, directly competing in Vocadian's fatigue risk management market with an alternate hardware-based approach.
- SmartCap: SmartCap offers wearable fatigue monitoring technology primarily for mining, transportation, and heavy industry, directly overlapping Vocadian's predictive fatigue use cases via a different capture modality.
Broad incumbents
- Seeing Machines: Seeing Machines is an established driver monitoring company using AI and computer vision for fatigue and distraction detection across automotive, aviation, and fleet customers, representing a much larger incumbent competitor in fatigue risk management.
- Samsara: Samsara is a broad IoT and fleet management platform serving transportation, logistics, and heavy industry with safety, telematics, and compliance tools, representing a potential bundling threat to Vocadian's standalone fatigue solution.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights6 records
Customer concentration
Vocadian social profiles
Digital presenceVocadian compliance and trust
Trust signalCompliance2 records
Vocadian financial estimates
Financial estimateRevenue estimate
Valuation estimate
Vocadian leadership team
Management profileNumber of profiles
Profiles11 records
Vocadian funding detail
Funding detailFunding overview
Funding rounds5 records
Investors5 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Vocadian M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Vocadian
What does Vocadian do?
Vocadian sells a voice AI-powered B2B SaaS platform that conducts predictive fatigue assessment and drowsiness window forecasting for frontline workers in safety-critical industries. The platform is accessed through a 30-second pre-shift speech task on existing devices, requires no additional hardware, and produces fatigue prediction scores that feed a fleet management dashboard (Vocadrive) for compliance tracking, workforce benchmarking, and risk mitigation.
Is Vocadian a public or private company?
Vocadian is a private company. It is classified as venture growth investor backed and is currently operating.
When was Vocadian founded?
Vocadian was founded in 2023. It employs 1 to 10 people.
Where is Vocadian based?
Vocadian is headquartered in Boston, United States, in the North America region.
How does Vocadian make money?
One revenue line is on record: B2B SaaS Platform Subscription.
Who are Vocadian's main competitors?
Direct peers on record are Canary Speech, Kintsugi, Sonde Health, Cordio Medical, Ellipsis Health, Aural Analytics, Optalert and SmartCap. Broad incumbents are Seeing Machines and Samsara.
Does Vocadian have an API?
No public API is recorded for Vocadian.
What industry is Vocadian in?
Vocadian's product category is Workforce Safety Voice AI Software. Its primary akta.pro industry code is HDAAAFAH, Audio & Speech Analytics (call analytics, QA, insights).