We believe AI should work, not just impress.
PrismGraph was built by engineers and researchers who were tired of AI that looked good in demos but failed in production. We build systems designed from the ground up for reliability, scale, and real-world complexity.
Light in. Intelligence out.
Like a prism that splits white light into its constituent spectrum, PrismGraph takes raw, unstructured data and transforms it into structured, actionable intelligence.
Our mission is to build the infrastructure layer that makes agentic AI practical — systems that are fast, observable, composable, and genuinely useful from day one.
How we got here
From a small team with a big idea to a company redefining what enterprise AI can do.
Founded
PrismGraph was founded with a simple thesis: AI agents should do the heavy lifting so humans can focus on what matters.
First Pipeline
Deployed our first large-scale data processing pipeline, handling 1B+ events per day for an enterprise logistics client.
Agentic AI Launch
Shipped our multi-agent orchestration framework — one of the first production-grade systems for autonomous agent collaboration.
Scale & Growth
Expanded to 10B+ daily data points processed. Opened partnerships with cloud providers and Fortune 500 companies.
Global Reach
Serving clients across 4 continents. Launched AI Consulting practice to help enterprises navigate the agentic AI transition.
Principles we build by
These aren't wall art. They're the criteria we use when making hard technical and product decisions.
Precision over noise
We obsess over signal quality. Every system we build filters complexity down to clarity — because decisions depend on it.
Agents, not automation
True automation requires judgment. Our systems reason, adapt, and course-correct — they don't just execute scripts.
Scale from day one
We architect for growth from the start. Systems that work at 1,000 events should work identically at 1 billion.
Radical transparency
AI systems should be explainable. We build with interpretability baked in — you always know why the agent did what it did.
Reliability is a feature
Uptime, fault tolerance, and graceful degradation aren't afterthoughts. They're first-class requirements on every project.
Build for humans
The best AI augments human capability. We design our systems so that AI handles the repetitive — humans handle the creative.
People behind the prism
A small, focused team of engineers and researchers who've built large-scale AI systems before.
Alex Mercer
Co-founder & CEOFormer ML lead at a top-5 tech company. Built distributed AI systems serving 500M+ users.
Priya Nair
Co-founder & CTOPhD in distributed systems. Previously led data infrastructure at a Series D fintech startup.
Jordan Lee
Head of AI ResearchPublished researcher in multi-agent RL. Ex-DeepMind. Obsessed with emergent agent behavior.
Sam Okoye
Head of Engineering15 years building real-time systems. Passionate about reliability engineering and elegant APIs.