DiagramLLM 1.0 thinks in math. And draws you the diagram.
Diagram AI builds DiagramLLM 1.0 — a sovereign, math-reasoning model that sits between your organization and its data warehouses and lakes, turning a huge corpus of operational data into diagrams, insights, and recommendations.
Two layers. One brain.
DiagramLLM 1.0 is the reasoning core. The interface is where your team actually puts it to work.
The interface your team works in
DiagramLLM 1.0 powers a prompt-and-iterate interface where clients and customers create visualizations, surface insights, and get prompt suggestions and reasoning — all grounded in their own data, not a generic dataset.
DiagramLLM 1.0
We build domain-specific models on top of DiagramLLM 1.0, our math-reasoning core. It doesn't just calculate — it reasons, and it can draw the diagram or visualization that represents its own thinking.
One model. Four jobs analysts do by hand.
Math + visual reasoning
The same model that reasons also draws. DiagramLLM 1.0 pairs strong mathematical reasoning with the ability to render that reasoning as a diagram or visualization — not a rendering step bolted on afterward.
Multimodal data reasoning
DiagramLLM 1.0 reasons across modalities — structured tables, documents, imagery, and simulation output — to reach a single, grounded answer.
Production-ready output
Outputs are built to ship: accurate, production-ready math visualizations your team can hand straight to stakeholders.
Insights & analysis at scale
Positioned between your organization and its data warehouses and lakes, DiagramLLM 1.0 analyzes a huge corpus of operational data and surfaces the insight — not just the query result.
Your data never leaves your walls.
DiagramLLM 1.0 is a small, sovereign model built to sit between your organization and its data warehouses and lakes — not to send your data to one. It runs behind your firewall, on your infrastructure, under your access controls.
“This is our organizational brain. It does the work of a room full of analysts.”
Investigation, pattern detection, predictive analysis, and recommendations — running continuously across your data, not one query at a time.
Inside AeroSphere: DiagramLLM 1.0 for aerospace
A short look at how diagram.ai adapts to domain-specific aerospace data — connecting fleet, MRO, and flight-operations sources to launch investigations, detect patterns, and generate actionable recommendations.
Fuel imbalance investigation
30 days of telemetry across 76 aircraft surfaces 9 aircraft exceeding the ±200kg lateral fuel-imbalance threshold, 6 of them severe. Top recommendation: recalibrate left-side fuel probes — a projected ~480kg of fuel savings per month across the affected aircraft.
Cabin safety readiness
47 PSU oxygen generators are flagged as expiring within six months across 11 aircraft, concentrated in specific manufacturing batches, alongside 3 oxygen-mask regulators showing pressure drift — feeding a cost-optimized replacement strategy.
Landing gear simulation sandbox
Ingesting ANSYS RST output, DiagramLLM 1.0 compares baseline load against a 20% crosswind increase, locates peak stress at the trunnion fillet, and recommends shot peening at the next overhaul cycle.
Evaluating what it means to reason in diagrams
The first benchmark for mathematical diagram generation
We built the first benchmark for evaluating how well LLMs generate mathematical diagrams — not just whether the math is right, but whether the diagram is.
A metric for math diagrams, applied through reinforcement learning
Our paper, submitted to EACL, proposes a metric for evaluating math diagrams and applies it through reinforcement learning on our fine-tuned model.
One team, four countries.
diagram.ai is built by a globally distributed team across the United States, India, the Middle East, and Singapore.
Harish Kashyap
CEO, Founder & AI Lead
Kiran Byadarhaly
Principal Scientist
The Everstone Group
The Everstone Group is one of Asia's largest and most diversified alternative investment platforms, spanning industries, geographies, and asset types. diagram.ai is built by Pandita, Everstone's AI-focused arm.
Let's put DiagramLLM 1.0 on your data.
Tell us about your data warehouses, your data lakes, and the questions your analysts answer by hand. We'll show you what an organizational brain looks like on top of them.