Head of R&D and Commercialization
Bryan Guy, J.D.
Former Microsoft, Alaska Airlines, T-Mobile, Starbucks. J.D. holder with a track record in enterprise digital transformation, product strategy, and regulatory compliance.
About
A single, AI-native platform that drives omnichannel engagement - while maintaining defensible privacy.
Every organization - regardless of size or industry - should have access to network-intelligent AI that supercharges its ability to attract, engage, and retain customers.
Founded 2023Seattle, WASeed stage · actively raisingMVP complete · H2 2026 launchAutomotive anchor vertical · live in production
Billity is the network-intelligent AI growth platform - not a better CDP, not another CRM. We sell for you across every channel and compound with every business on the network.
Our thesis is simple: growth compounds when intent, creative, and media share one graph - and when AI can act on that graph with your permission, not just report on it.
Network-intelligent by design
Every consented interaction on the Lead Graph makes the next recommendation smarter - for you and for every business that opts in.
Growth on Auto-Pilot
Co-Pilot assists; Auto-Pilot executes within the policy you set. Always-on audiences, creative, and spend - without another dashboard to babysit.
Consent as a product pillar
Identity, cookies, and cross-network signal are gated by clear preference controls. Privacy is not a bolt-on - it is how the graph stays trustworthy.
Leadership
Built by operators. Not just engineers.
Built by operators who’ve scaled data and AI systems at Microsoft, Google, Alaska Airlines, T-Mobile, and Starbucks.
Chief Technology Officer
Shavkat Aynurin
Former Google Gemini / DeepMind. Built production AI/ML systems at global scale. Deep expertise in agentic AI architecture and model orchestration.
Head of Product
Carey Jonas
Former Microsoft and F5 product leader. Owns product vision, roadmap, and commercialization for the DataBillity platform and Billity AI.
Director, Cybersecurity & DevOps
Brandon Burrell
Architects secure CI/CD, zero-trust cloud, and container-hardened infrastructure with continuous compliance and threat-driven resilience across Azure, AWS, Docker, and Kubernetes.
Director, PMO
Gabe Robinson
Leads enterprise Agile/SAFe delivery and release governance across the full SDLC, drawing on 27 years of complex IT and infrastructure deployment experience.
Chief Compliance Officer
Jeni Tocol
Builds enterprise information security and multi-jurisdiction compliance programs from the ground up, drawing on security leadership experience at Microsoft, T-Mobile, and CARIAD.
Manager, Operations
Julia Nagai
Multi-faceted executive with experience leading agile team operations centered on high growth initiatives and sustainable back-office systems.
Delivery
Embedded expertise. Measurable outcomes.
Delivery is supported by DSC, a data and AI consultancy with experience across enterprise data infrastructure, API platforms, and AI implementation. They bring the technical precision and operational discipline to execute enterprise data engagements reliably, from architecture through handoff.
Hem Joshi
Manager, Analytics & Data Engineering
Japneet Jabbal
Manager, PMO
Abhishek Ahluwalia
Sales Manager
Maria Mehkari
Manager, Marketing
Nevin Mahilal
Chief Data Architect
Michael Nandlall
President, North America
Compliance as a feature
Compliance built into the architecture.
Consent is layer-separated - marketing, service, profiling, cross-network - and every opt-in references the exact consent-copy version accepted. Every AI decision that materially affects a customer is logged, explainable on demand, and reversible where legally required.
Network signal processing only occurs where consent is synchronous - never deferred. Tenant isolation is absolute: PII never crosses tenant boundaries.
TCPA
Prior express written consent · instant opt-out
CASL
Express consent for commercial messages (Canada)
CCPA / CPRA
Right to know, delete, and opt out of sale/share
Quebec Law 25
Privacy officer, incident response, data residency
GDPR-ready
Lawful basis, DSR handling, SCC transfers
ADMT
Automated-decision transparency + human review
L01
Transaction
L02
Processing
L03
Modeling
L04
Cross-network
L05
Anonymized
Ready when you are
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