Graphos
The GPU graph brain underneath your company's memory. GNN training and cuGraph analytics over billion-edge graphs.
Products
Six products. One graph.
Entilla is a GPU-accelerated knowledge stack. Each product owns one job in the pipeline that turns a company's knowledge into trustworthy action, and each one makes the others stronger.
How the pipeline runs
Capture, train, retrieve, verify, act, simulate.
01
Holoscope
Captures knowledge on-prem, including inside air-gapped sites the cloud can't reach.
02
Graphos
Trains the raw exhaust into a GPU knowledge graph with graph neural networks.
03
Mnemo
Retrieves grounded, permission-safe context from the graph in milliseconds.
04
Verix
Verifies every claim against the evidence before anything changes.
05
Nexora
Takes policy-bounded action once Verix approves it.
06
Synthos
Simulates the org and manufactures safe training data that improves the rest.
The suite
Explore each product.
Mnemo
Permission-aware memory that answers in milliseconds. Grounded recall on NeMo Retriever, with citations.
Verix
The independent verifier that makes AI answers trustworthy. Grounds and scores every claim before action.
Nexora
The agent fabric that turns knowledge into action. Specialist agents served as self-hosted NIM endpoints.
Synthos
A digital twin of your org that manufactures safe training data. Privacy-safe corpora and scenario simulation.
Holoscope
On-prem knowledge capture for places the cloud can't go. A Jetson and Holoscan appliance for air-gapped sites.
Why it's built on accelerated compute
GPUs are the product, not a line item.
Trained graph
GNN training and RAPIDS or cuGraph analytics over billion-edge graphs, with custom CUDA kernels for temporal traversal.
Fast recall
NeMo Retriever embedding and reranking, compiled with TensorRT and served by Triton for sub-second, permission-aware retrieval.
Verified action
An independent verifier gates every action at p99 under 2 seconds. Agents ship as self-hosted NIM microservices for VPC buyers.
Regulated edge
Jetson and Holoscan capture and redact knowledge inside air-gapped facilities where cloud AI is not legal to run.
Synthetic data
NeMo generation, plus Omniverse and Cosmos as the digital twin deepens, produce privacy-safe training corpora.
Compounding flywheel
Every correction becomes labeled data that retrains the models monthly. The training loop is recurring GPU demand.