Making Enterprise AI Reliable & Trustworthy
Our Mission
The current generation of AI is powerful but unreliable. Language models hallucinate. Agents drift from their objectives. Enterprise data gets fed into systems with no audit trail. We are building the intelligence layer that fixes these problems.
Our neuro-symbolic AI framework, NSAF, fuses neural pattern recognition with rule-based symbolic reasoning. This hybrid approach gives enterprises the best of both worlds: the flexibility of modern AI with the reliability and explainability of traditional logic systems.
Neuro-Symbolic AI
Our core technology
Traditional AI systems operate as black boxes. Our Neuro-Symbolic AI Framework (NSAF) combines:
- Neural reasoning for pattern recognition, natural language understanding, and adaptive learning
- Symbolic logic for rule enforcement, compliance checking, and verifiable decision chains
- Knowledge graphs for persistent memory, context retention, and organizational knowledge
What We Believe
Our values shape every product decision, every API design, and every customer interaction.
Reliability First
Every product we build goes through rigorous verification. We combine neural networks with symbolic logic to deliver AI you can trust in production.
Explainability
Black-box AI has no place in enterprise. Our neuro-symbolic approach provides clear reasoning chains so you always understand why a decision was made.
Customer Obsession
We build for engineers who ship real products. Our APIs are designed to be intuitive, our documentation thorough, and our support responsive.
Performance at Scale
Sub-50ms latency on routing decisions. 99.9% uptime SLA. Our infrastructure is built to handle enterprise-grade traffic from day one.
Our Journey
From research to production-ready platform in under a year.
Founded
Bolor Intelligence founded in San Francisco with the mission to make enterprise AI reliable through neuro-symbolic reasoning.
Seed Round
Raised seed funding to build the core neuro-symbolic reasoning engine and assemble a world-class team of AI researchers and engineers.
Alpha Launch
Launched OrchestrAI and AgentGuard in alpha with 20 design partners across fintech, healthcare, and enterprise SaaS.
Platform Launch
Full platform launch with all seven products. Public API, developer documentation, and self-serve onboarding now available.
Leadership Team
Experienced builders from AI research, cloud infrastructure, and enterprise product development.
Bolor Undral
Founder & CEO
Former AI research lead with deep expertise in neuro-symbolic systems and knowledge graphs. Built AI infrastructure serving millions of requests daily.
Dr. Sarah Chen
VP of Research
PhD in computational neuroscience from MIT. Published 30+ papers on hybrid reasoning systems. Previously led the reasoning team at a top AI lab.
Marcus Williams
VP of Engineering
15 years building distributed systems at scale. Former principal engineer at AWS, where he led the design of real-time inference pipelines.
Priya Sharma
VP of Product
Product leader who scaled developer platforms from 0 to 100K+ users. Deep understanding of enterprise AI workflows and compliance requirements.
Headquartered in San Francisco
Our team works from San Francisco and remotely across the US. We are always looking for talented engineers and researchers who are passionate about building reliable AI systems.
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