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 — documents, images, sensor feeds, transaction logs — and transforms it into structured, verified intelligence.
We build for industries where the cost of a wrong answer is measured in patient outcomes, regulatory fines, or national security. That means every output comes with a provenance trail, every model runs on your hardware, and every agent decision is auditable.
Our mission is to make agentic AI practical and trustworthy — not just impressive in demos, but reliable in production, compliant by design, and owned entirely by you.
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.
Data stays yours
Your training data, your inference data, your outputs — none of it touches a third-party server. We build systems that respect data sovereignty as a first principle, not an afterthought.
Production-first, always
We build for production from day one. Systems that work in demos but fail under real load aren't finished — they're unfinished. Our benchmarks are production metrics, not sandbox results.
Agents, not dashboards
True automation requires judgment, not just execution. Our agents reason, adapt, and self-correct — they don't just run scripts. If it needs a human to interpret it, it needs a better agent.
Regulated by design
Compliance isn't a post-hoc audit — it's an architectural decision. We design audit trails, data lineage, and explainability into the system from the start, not bolted on before delivery.
Own the stack
We don't lock you into our tooling. We build with open standards and open-weight models, document everything, and hand off systems your team can fully operate and extend independently.
Measure everything
Every agent decision, pipeline stage, and model inference is observable. Latency, accuracy, cost per inference, drift — all visible, all alertable. If you can't measure it, you can't improve it.