1. ABOUT
Summary: Aecho has built a proprietary Human Insights Engine that analyzes voice patterns to reveal personality traits, integrity markers, and signals of mental well-being. Led by a team with 25+ years in voice and AI development, and backed by advisors across recruiting, mental health, and enterprise technology, we are deploying language-agnostic acoustic analysis for high-stakes applications in hiring, security, and well-being monitoring.
Aecho (pronounced "eh-kow") has built a Human Insights Engine: a proprietary acoustic analysis platform that reveals what traditional, text-only AI misses. Aecho's tonal analysis technology reveals hidden insights in speech to provide personality, emotion, well-being profiles.
Aecho's foundational models allow us to very rapidly architect and produce new traits based on our existing system of 180+ psychological traits.
Mission: Bridging the gap between machines and humans by understanding the human. Aecho aims to provide real, impactful and valuable insights across different market verticals, starting with recruiting & HR.
Leadership Team
Adam Hocek
CEO & Founder
Over twenty-five years in voice and human–machine interaction. Invented the first portable reading system for the blind (Kurzweil/Xerox), authored Definitive VoiceXML, and led large-scale deployments for major technology and telecom players.
Rudraneel Bhattacharya
CTO
AI/Machine Learning (ML) engineer and product architect. Leads Aecho's Human Insights Engine and infrastructure, working with our global team of engineers and developers
Key Advisors & Domain Partners
Recruiting · Well-being · Enterprise & Government
Our advisory group includes senior operators and domain specialists from enterprise recruiting and staffing, clinical well-being and mental health research, telecommunications technology, and government contracting and large-scale program management. These advisors and partners support our work in high-stakes assessments, wellness predictors, longitudinal validation, and enterprise deployment strategy.
2. Q4 2025 Highlights
Summary: Q4 2025 established Aecho's market presence through the Global Family Office Investment Summit (GFOIS) in Miami (150+ family offices), validated technology accuracy (81% deepfake detection, 82% depression screening), secured six active clients and six partnerships, and generated substantial media coverage, including features in Conglomerate Magazine, Washington Examiner, and multiple podcast appearances.
Q4 was about external validation: putting the technology in front of customers, partners, and investors, and proving that it works in the "wild", in real-life usage outside the lab, deployments, or market environment.
In short, Q4 targeted real-world proof to build credibility and support for Aecho's technology.
Key Business Metrics
6 + 6
Client Pilots
& Partners in Pipeline
& Partners in Pipeline
4
Strategic Partner MOU Signed
& Additional in Negotiation
& Additional in Negotiation
3
Recruiting Agencies Using Aecho
for Complete Talent Solutions
for Complete Talent Solutions
Key Technical Metrics
82%
Binary Depression
Screening Accuracy
Screening Accuracy
81%
Deepfake & Cloned Voice
Detection Accuracy
Detection Accuracy
Market Presence & Authority
📊 Global Family Office Investment Summit (Miami)
Aecho presented its Human Insights Engine at the Global Family Office Investment Summit in Miami and was featured on the AI panel "Betting on the Future: AI Startups & Visionary Entrepreneurs" at the Summit in Miami to the family office investment community and engaging leaders across well-being, and deep-tech infrastructure.
📚 Book Chapter & Panels
Adam is contributing a Voice AI chapter to AI for Purpose, part of Taylor & Francis' AI for Everything series, and has been featured on healthcare and well-being panels discussing voice-based mental health and outcome assessment.
Strategic Partners & Media Coverage
- •Strategic Memorandum of Understanding (MOU): AI4Purpose (well-being & Outcomes)
AI4Purpose's mission is to drive social good through innovative AI solutions, professional networking, and mentorship programs. Formal MOU signed with AI4Purpose to collaborate on voice-based mental health and outcome assessment, combining Aecho's acoustic predictors with their well-being and impact frameworks. See Announcement → - •Feature: "Giving AI a Heart Through Voice and Emotion"
In-depth profile in Conglomerate Magazine on how Aecho uses voice and emotional signals to build more human-centered AI, covering our analytical approach and differentiation from conventional solutions. Read the Article → - •Panel: AI in Healthcare – BLPN (formerly Bullpen) Virtual Master Panel
Adam as a featured panelist discussing where voice AI fits in healthcare, mental health, and outcome tracking, alongside other founders and practitioners. View Panel Feature → - •Podcast: The Human Side of AI – Redefining Recruitment
Deep-dive conversation on how Aecho uses voice technology to reshape recruiting and talent assessment, focusing on traits, integrity, and fairness in hiring. Listen on Audible → - •Podcast: Aecho & Voice AI (YouTube)
Recent video interview on Aecho's approach to Human Insights from voice, the origins of the product, and how this connects to broader AI trends. Watch on YouTube →
3. Technology & Validation
Summary: Aecho's acoustic engine demonstrates consistent 80%+ accuracy across personality prediction in OCEAN (Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism), HEXACO (Honesty-Humility, Emotionality, Extraversion, Agreeableness, Conscientiousness, and Openness), and MBTI (Four dichotomies of Introversion/Extraversion, Sensing/Intuition, Thinking/Feeling, and Judging/Perception). Within the OCEAN, HEXACO, and MBTI frameworks, depression detection (82%) and deepfake identification (81%). Real-world validation includes correctly identifying optimal director-level hires, detecting integrity shifts in public legal testimony, and enabling adaptive AI interviewing that surfaces different insights from identical verbal responses.
Aecho's proprietary acoustic engine analyzes voice patterns to extract personality traits, integrity markers, and mental health indicators. Our validation work demonstrates consistent accuracy exceeding 80% across multiple benchmarks, with real-world deployment confirming predictive power in high-stakes hiring and security applications.
Validation Benchmarks
Personality Prediction (OCEAN, HEXACO, MBTI)
>80%
Depression Detection (PHQ-9 alignment)
82%
Deepfake Detection (TTS & Human Clones)
81%
Total Traits Analyzed
180+
Over the last quarter, Aecho expanded its validation pipeline while continuing an aggressive go-to-market rollout. The focus remained on high-stakes, independently verifiable scenarios that highlight Aecho's core advantage: language-independent acoustic models that expose behavioral and integrity signals that traditional interviews and text-only AI platforms lack.
Highlighted Case Studies
Case 1: Proof of Personality and Soft Skill Assessments in the Hiring Process
Aecho in several assessments was able to predict the best candidate for the job by including soft skill assessments. In one evaluation conducted with four finalists for a Director role for Travel & Benefits Aecho's system ranked the candidate who was ultimately hired as the strongest fit, supported by indicators of leadership, communication, and stability. More importantly, Aecho flagged a "perfect on paper" finalist as an impostor profile with elevated deceit and misalignment signals—a risk that was later confirmed through human behavioral interviews.
This continues a pattern we have seen repeatedly: Aecho identifies soft skill and integrity discrepancies before they become evident to hiring managers.
This continues a pattern we have seen repeatedly: Aecho identifies soft skill and integrity discrepancies before they become evident to hiring managers.
Case 2: Measuring Deceit Through Voice Correctly
Our integrity model analyzed Alex Jones' contradictory public statements. His "Crisis Actor" claim registered 53% deceit markers, while his admission under oath during the Sandy Hook deposition showed only 6% deceit.
The acoustic shift was unambiguous and aligned directly with the eventual legal outcome. This is another indicator that reinforces Aecho's ability to distinguish between rehearsed rhetoric and authentic testimony—a critical capability for investigations, fraud detection, and compliance. Further studies are being conduct to further reinforce these findings.
The acoustic shift was unambiguous and aligned directly with the eventual legal outcome. This is another indicator that reinforces Aecho's ability to distinguish between rehearsed rhetoric and authentic testimony—a critical capability for investigations, fraud detection, and compliance. Further studies are being conduct to further reinforce these findings.
Complete validation documentation—including methodology, accuracy charts, depression benchmarks, deepfake test results, and additional case studies—is available for review: View Full Report →
4. Product Offerings
Summary: Aecho's primary offering is in Recruiting & HR, where we uniquely combine personality insights to really look beyond the resume to give recruiters and companies a holistic evaluation on candidates. This is powered by the same human insights engine that is capable of generating over 180+ traits from as little as 40 seconds of human speech in any language.
Other areas where we're actively expanding on are health and well-being, where our initial studies have shown a 82% accuracy when predicting depression on a binary scale, voice identity, where we're able to predict both human impostors and deepfake audios with 81% accuracy.
Additionally, we open up our services through our API which allows for other parties to integrate Aecho's offerings into their own solutions.
Labelled Data Collected
Current data samples have increased to include the following:
5,000+
Labeled Audio Samples
1,000+
Labeled Deepfake Dataset
1,500+
Labeled Depression Samples
Average 40-second samples spanning multiple languages, accents, and demographic groups
🎯 Recruiting & HR
Our flagship offering includes Candidate Qualifier for rapid pre-screening and Aecho Recruiter for full adaptive interviews. Both deliver structured personality, soft skills, and integrity assessments that dramatically improve hiring quality while reducing time-to-fill.
Current traction: Six recruiting firms deployed, with enterprise pilots underway.
Explore Platform →🧠 Health & well-being
Voice-based depression binary screening (82% accuracy), stress indicators, and emotional stability markers. Built for mental health partners, research institutions, and organizations seeking non-invasive monitoring tools.
Learn More →🔒 Voice Identity & Security
Deepfake detection (81% accuracy) and identity verification for financial services, and enterprise workflows.
View Capabilities →🔧 Developer API
Unified API with personality, integrity, well-being, and security for engineering teams building AI agents, call-center automation, and assessment pipelines.
API Docs →Recently Launched: Visit Aecho Hub for live demos, validation reports, case studies, and product documentation.
5. Metrics & Traction
Summary: Q4 2025 delivered 20% quarter-over-quarter web traffic growth (2,000 new visitors, 11,000+ interactions), 500 real candidates analyzed across 200+ job roles, and a proprietary data repository exceeding 5,000 labeled audio samples. LinkedIn metrics show 140% growth in impressions, 3,000 followers, and accelerating enterprise inbound interest over Q4.
Website & Conversion Performance
2,000
New Visitors (90d)
11,000+
Total Interactions
+20%
QoQ Growth
222
Hub Visitors (6wk)
18%
Demo Conversion
2 min
Avg. Engagement
Product Deployment & Usage
Candidates Analyzed
~500
Job Roles Covered
200+
Includes 2 recruiting partners, Northeastern University collaboration, independent outreach
Active Clients
6
Partnerships
6
Staffing firms, enterprise HR, and mental health research
Market Visibility (LinkedIn)
Reach & Engagement
Company Followers
~3,000
Q4 Impressions
13,000
Total Engagements
1,600
Quarter-over-Quarter Growth
Search Appearances
+23.5%
Impressions
+140.7%
Page Visitors
+61.5%
6. Q4 2025 Accomplishments
Summary: Q4 proved to be very successful for Aecho. A few highlights included our continued outreach to acquire new clients and partners. Aecho also successfully signed on new strategic partners and increased its market presence. Another highlight was the continued successful deployment of Aecho's services leading to an expanded set of real-world case studies validating the usefulness of our offering.
✓ Technology Validation
Achieved 80%+ accuracy across personality traits, integrity markers, and mental health indicators. Validated against OCEAN, MBTI, PHQ-9, and real-world hiring scenarios.
✓ Market Presence
Presented at GFOIS Miami to 150+ investors. Established partnerships, and we have more in the pipeline.
✓ Product Maturity
Aecho Recruiter stabilized for repeatable deployment. Launched Aecho Hub as a unified demo and validation portal. Processed 500 real candidates across 200+ roles.
✓ Commercial Pipeline
Six active clients, six partnerships in progress. Pilots live in staffing firms, enterprise HR, and mental health research.
7. The Path Forward: Q1-Q2 2026
Summary: Immediate priorities include closing the $1.1M pre-seed round on a $12M Simple Agreement for Future Equity (SAFE) with an 18-month runway, converting six active pilots to multi-year contracts, expanding mental health validation partnerships, and advancing agentic matching workflows beyond recruiting into investor-company pairing and partnership facilitation. The product roadmap targets $1M in Annual Recurring Revenue (ARR) in 2026, scaling to $11M by 2029.
Funding & Revenue
💰 $1.1M Pre-Seed Raise
Seeking $1.1M on a $12M SAFE post-money valuation with 18-month runway. Allocation: 55% Marketing & Sales, 25% Product Development, 10% Operations, 10% Reserve.
📈 Pilot-to-Contract Conversion
Converting six active pilots to multi-year agreements. Standardizing pricing by seat, by report, and by volume tier to enable expansion within existing accounts.
Deep-Tech & Partnerships
🧬 Mental Health Validation
Expanding depression and well-being validation cohorts with research partners. Moving from research into carefully scoped live pilots with defined safety guardrails and bias monitoring.
🤖 Agentic Platform Integration
Deepening partnerships with AI agent platforms and communications providers to position Aecho as the default human insight layer for voice-centric workflows.
Product Roadmap (Q1-Q2 2026)
- •Agentic Matching Workflows:
Extending proven talent-recruiter matching architecture into investor-company pairing, client-buyer connections, and partnership facilitation across verticals - •Contextual Voice Intelligence:
Advancing real-time contextual understanding integrated with acoustic analysis to enable more nuanced decision-support in high-stakes conversations - •Mental Health Research Expansion:
Broadening validation work beyond depression into anxiety disorders, Post-traumatic stress disorder (PTSD), and burnout through university partnerships and clinical pilots with healthcare agencies
Financial Targets
$1M ARR
2026 Target
2 Mid-Sized Clients / Quarter
2 Mid-Sized Clients / Quarter
$11M ARR
2029 Target
40 Mid-Sized Clients
40 Mid-Sized Clients
Join the Journey
We are continuing to expand aggressively into recruiting, well-being, and security. If you would like a deeper technical, product, or financial walkthrough, we are ready to connect.
Quick Connect
Primary Contacts
Adam Hocek · CEO
📧 [email protected] · 📞 +1-917-439-8331
LinkedIn Profile
Rudraneel Bhattacharya · CTO
📧 [email protected]
LinkedIn Profile