
"AI as a Weapon of Insight."
Built by Alexander Morisse, PhD — director of machines that think.
I Don’t Build Products. I Orchestrate Intelligence.
AI is my medium. Each system, a narrative. Each agent, a character.
From defense-grade investigation tools to soulful music recommenders — I architect software that knows what it’s doing.
What is TensorML?
TensorML is the R&D studio and personal lab of Alexander Morisse — physicist, inventor, and architect of award-winning AI systems.
It’s where I turn messy problems into beautiful machines.
General Intelligence, Specialized Modeling
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Agentic Systems
“Build something that reasons.”
Not dashboards. Not CRUD apps.
We're talking full-stack agents that analyze logs, write code, traverse graphs, or co-pilot your customers. From architecture to orchestration, I build machine collaborators that actually get work done.→ Examples: Louie.ai, pyGraphistry, GraphRAG
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Custom Model Cinematics
“Your data deserves a plot.”
Every company has latent data — logs, tickets, conversations, footprints. I help shape it into models that tell a story: predictive, generative, or even emotional.→ NLP, embeddings, simulations, Bayesian dynamics, whatever gets the shot.
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Intellectual R&D-as-a-Service
“Think of me as your AI showrunner.”
Have a vision? I’ll help script the prototype, tune the architecture, and direct the build.
Need a wild idea made real? I’ll assemble the system and spin up a first-pass in weeks, not quarters. Think DARPA but sexier.→ VCs, founders, defense orgs, and data-rich companies welcome.
Data Are Graphs
Graphs Are My Camera
I don’t just look at data — I map it.
Graphs are how I see:
→ Who connects to what
→ What hides in plain sight
→ How thought travels
Every pattern tells a story. Graphs give it form.
GraphRAG = Memory + Improv
Why just retrieve facts when you can retrieve context?
GraphRAG blends deep network memory with generative fluency. It’s how Louie.ai answers questions from log data, code, and internal knowledge — all in one thought.
Machine Learning ≠ Spreadsheets
Real intelligence isn’t flat.
→ Graphs let models reason across relationships — not just rows.
→ I use GNNs, similarity maps, and dynamic queries to make sure every insight is earned, not guessed.