1. Who We Are
Aecho is building a proprietary Human Insights Engine that analyzes voice patterns to reveal personality traits, integrity markers, and mental wellbeing signals. Led by a team with 25+ years in voice AI 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 wellbeing monitoring.
Aecho (pronounced "eh-kow") is building a Human Insights Engine: a proprietary acoustic analysis platform that reveals what traditional, text-only AI misses. We analyze how people speak, not just the words they choose, to infer personality traits, integrity markers, and mental wellbeing signals from voice.
Rather than another LLM wrapper, Aecho is a layer that can plug into applications, agents, and workflows. It is language-agnostic, deepfake-aware, and designed for high-stakes use cases in recruiting, wellbeing, and security.
Mission: Enable AI systems to understand people as humans, not just as text streams — and give organizations a trustworthy way to measure traits, integrity, and wellbeing at scale.
Leadership Team
Adam Hocek
CEO & Founder
25+ 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/ML engineer and product architect. Leads Aecho's Human Insights Engine and infrastructure, working with a distributed team across startups and enterprise environments.
Key Advisors & Domain Partners
Recruiting · Wellbeing · Corrections Tech · Enterprise & Government
Our advisory group includes senior operators and domain specialists from enterprise recruiting and staffing, clinical wellbeing and mental health research, corrections and secure communications technology, and government contracting and large-scale program management. These partners support our work in high-stakes assessments, wellness predictors, longitudinal validation, and enterprise deployment strategy.
2. Q4 2025 Highlights
Q4 2025 established Aecho's market presence through GFOIS Miami (150+ family offices), validated technology accuracy (81% deepfake detection, 82% depression screening), secured 6 active clients and 6 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.
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
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 featured on the "Betting on the Future: AI Startups & Visionary Entrepreneurs" panel at the Global Family Office Investment Summit in Miami, presenting the Human Insights Engine to the family office investment community and engaging leaders across corrections, wellbeing, 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 wellbeing panels discussing voice-based mental health and outcome assessment.
Strategic Partners & Media Coverage
- •Strategic MOU: AI4Purpose (Wellbeing & Outcomes)
Formal MOU signed with AI4Purpose to collaborate on voice-based mental health and outcome assessment, combining Aecho's acoustic predictors with their wellbeing 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 – 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
Aecho's acoustic engine demonstrates consistent 80%+ accuracy across personality prediction (OCEAN, HEXACO, MBTI), 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, we continued our aggressive go-to-market and validation strategy, adding new high-stakes case studies that demonstrate why Aecho's predictors consistently surface insights traditional interviews and text-only AI systems miss. A key driver behind this differentiation is our language-independent acoustic models, which operate across accents and dialects without retraining—ensuring stable, unbiased, and globally deployable results.
Validated Use Cases
Case 1: Flagging Imposter Correctly: Director-Level Hire (Travel & Benefits)
Aecho evaluated four finalists for a Director role. Our system ranked the candidate who was ultimately hired as the strongest fit, supported by leadership, communication, and stability indicators. More importantly, Aecho flagged a "perfect on paper" finalist as an impostor profile with elevated deceit and misalignment signals—a risk only confirmed later 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 (Alex Jones)
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 reinforces Aecho's ability to separate rehearsed rhetoric from authentic testimony—a critical capability for investigations, fraud detection, and compliance.
The acoustic shift was unambiguous and aligned directly with the eventual legal outcome. This reinforces Aecho's ability to separate rehearsed rhetoric from authentic testimony—a critical capability for investigations, fraud detection, and compliance.
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
Aecho's Human Insights Engine powers four commercial product lines: recruiting and HR (flagship with 6 firms deployed), health and wellbeing screening (82% depression detection accuracy), voice identity and security (81% deepfake detection), and a developer API for custom integrations. All products leverage the same language-agnostic acoustic analysis core.
Aecho's Human Insights Engine powers a focused suite of commercial products. Our recruiting stack is the most mature and actively deployed, with additional capabilities in health screening, identity verification, and developer integrations.
🎯 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 hire quality while reducing time-to-fill.
Current traction: 6 recruiting firms deployed, with enterprise pilots underway.
Explore Platform →🧠 Health & Wellbeing
Voice-based depression 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 corrections technology, financial services, and enterprise onboarding workflows.
View Capabilities →🔧 Developer API
Unified API exposing personality, integrity, wellbeing, and security signals 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
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% impression growth with 3,000 followers and accelerating enterprise inbound interest.
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, corrections tech, mental health research
Data Infrastructure
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
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
Q4 2025 validated core technology at 80%+ accuracy across all predictors, established market authority through GFOIS Miami and strategic media placements, stabilized the recruiting product for commercial scale, and built a pipeline of 12 active relationships across recruiting, corrections, enterprise HR, and mental health research sectors.
✓ 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 unified demo and validation portal. Processed 500 real candidates across 200+ roles.
✓ Commercial Pipeline
6 active clients, 6 partnerships in progress. Pilots live in staffing firms, corrections technology, enterprise HR, and mental health research.
7. The Path Forward: Q1-Q2 2026
Immediate priorities include closing the $1.1M pre-seed round on a $12M SAFE with 18-month runway, converting 6 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. Product roadmap targets $1M 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 6 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 wellbeing 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, PTSD, and burnout through university partnerships and clinical pilots with healthcare agencies
Financial Targets
$1M
2026 ARR Target
$11M
2029 ARR Target
40
Target Mid-Sized Clients
Join the Journey
We're continuing to expand aggressively into recruiting, wellbeing, and security. If you'd like a deeper technical, product, or financial walkthrough, we're ready to connect.
Primary Contacts
Adam Hocek · CEO
📧 [email protected] · 📞 +1-917-439-8331
LinkedIn Profile
Rudraneel Bhattacharya · CTO
📧 [email protected]
LinkedIn Profile