VerityBloc
AI that earns trust.
VerityBloc is an enterprise AI implementation and transformation company. We build AI that works in the real world. Rigorously, ethically, and durably.
Not a prompt-engineering shop. Not a generic AI consultancy.
A collective of senior practitioners who build AI that actually works.
What we do.
Discovery
We audit your data, define your AI use cases, and design the architecture before writing a line of code.
Implementation
RAG pipelines, agentic workflows, document intelligence, data warehouse AI integration. Production systems built rigorously.
Evaluation
Does it work, is it safe, does it improve outcomes? Evaluation frameworks built in, not bolted on.
Where we work.
Healthcare and Life Sciences
Clinical AI, real world evidence, pharma AI, patient engagement, oncology informatics, clinical trial acceleration.
Enterprise and Regulated Industries
Data warehouse harmonization, document intelligence, agentic workflows, portfolio analytics. Built for environments where getting it right matters more than getting it fast.
A collective of practitioners.
Ten senior practitioners with deep expertise across clinical informatics, pharma AI, enterprise architecture, data engineering, UX and evaluation, and commercial leadership. Built from genuine relationships, not a staffing exercise.
Founder and Practice Lead
Clinical informatics, oncology AI, 25+ years healthcare technology
Principal Systems Architect
Clinical data systems, oncology informatics, production AI architecture
GTM and AI Implementation Lead
25+ years product and implementation leadership
UX and Evaluation Lead
Human-centered AI design, ethical AI practice
Clinical Informatics Advisor
Real-world data and clinical informatics
Principal Enterprise Delivery
24 years enterprise technology programs at scale
Pharma AI and Data Science Advisor
Agentic AI, RAG, pharma AI implementation
VP Technology and AI Engineering
LLM and RAG depth, healthcare technology leadership
AI and ML Engineer
GenAI, RAG pipelines, Snowflake and Databricks, clinical AI
Data Engineer
Healthcare data engineering, production-grade data systems
How we work.
01
Discovery
We audit your data, define your use cases, and design the architecture before any implementation begins.
02
Prototype
We build the core foundation and demonstrate one to two AI use cases in a defined timeframe.
03
Implementation
Full production system, all use cases deployed, evaluation complete, client handoff.
Each phase has defined deliverables and a gate before the next begins. Value delivery, not hourly billing.
We build on a foundation of responsible AI, combining rigorous implementation methodology with a deep commitment to ethical AI principles. Every engagement is built to be trusted by the people who use it and the organizations that depend on it.