Neeraj Sabharwal
Co-founder
Startup Contestant
Trust3 AI
Startup Summary
Trust3 AI improves AI Adoption by Improving Trust by providing a unified trust layer.
Trust3.ai is on a mission to help enterprises deploy AI responsibly, compliantly, and at scale. As organizations race to adopt generative AI and large language models (LLMs), they face growing risks around privacy violations, hallucinations, IP misuse, regulatory non-compliance, and loss of trust. Trust3.ai solves this problem by providing a robust AI Governance and Trust Platform that ensures transparency, control, and compliance across AI systems—from model training to production deployment.
The Problem We Solve
While LLMs and generative AI unlock massive business potential, they come with new types of risk:
Data privacy and security: Sensitive data can leak into prompts or be unintentionally memorized by models.
Lack of explainability and accountability: AI decisions can be opaque, making it difficult to audit or validate.
Regulatory uncertainty: Organizations are navigating emerging AI regulations (EU AI Act, NIST AI RMF, etc.) without clear tooling support.
IP risk and hallucinations: Models may generate or expose copyrighted material or hallucinate incorrect outputs.
Trust3.ai provides the guardrails organizations need to responsibly operationalize AI. Our platform continuously monitors, enforces, and audits AI models for policy compliance, ethical use, and data governance—bridging the gap between innovation and trust.
Our Technology
Trust3.ai combines deep data governance expertise with cutting-edge AI observability and trust tooling:
Policy-Aware AI Runtime Controls: Real-time enforcement of data, access, and safety policies across model workflows.
LLM Traceability: End-to-end observability for how AI systems are trained, evaluated, and used.
Generative AI Guardrails: Customizable rules to detect and mitigate hallucinations, PII leaks, toxicity, and copyright violations.
Compliance Automation: Built-in alignment with NIST AI RMF, EU AI Act, and other frameworks.
We leverage a mix of AI model introspection, reinforcement learning for compliance alignment, data lineage tracing, and metadata-driven policy engines to bring trust into AI pipelines—whether on-prem, in cloud data lakes, or via SaaS.
About | Trust3 AI
Founders
Balaji Ganesan, Founder of Privacera and the original creator of the technology behind Apache Ranger, is a visionary in data security and governance. Ranger, born from his work at XA Secure (later acquired by Hortonworks), has become the de facto open-source standard for fine-grained access control in big data ecosystems. Beyond tech, Balaji is also a survivor of the iconic US Airways Flight 1549 Hudson River crash — a living symbol of resilience and leadership under pressure.
Don Bosco Durai ("Bosco") is a serial entrepreneur and a recognized leader in the data governance space. He co-created Apache Ranger alongside Balaji and has been instrumental in setting industry benchmarks for secure data access in Hadoop, cloud, and analytics environments. With decades of experience in enterprise security, Bosco brings unmatched depth in both technology vision and execution.
Neeraj Sabharwal is an engineer turned go-to-market strategist, combining deep technical expertise with sharp commercial acumen. As Cofounder-1 at Prophecy, he helped drive its go-to-market motion and contributed to the company’s successful Series B round. At Privacera, he was part of the foundational team even before pre-seed, helping land major customers like Apple, Amgen, and Zillow. Neeraj serves as the connective tissue between cutting-edge technology and the enterprise problems it solves.