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Abstract neural network with fine branching connections and luminous mint and lavender nodes on a dark background

CANIVEL / RESEARCH · DEVELOPMENT · INVESTMENT

AI safety research.
Model development.
Company building.

We conduct AI safety research, develop specialized AI models, and advise enterprise leaders on AI strategy and adoption.

Explore our work ↗

Our work

AI tools, models & games.

dyno lab
SANDBOX → GATEWAY → OBSERVER
ISOLATED SANDBOXGATEWAYLLeadCCodeIInfraStorageALLOWEDDatabasePROTECTED×
◉ HIDDEN OBSERVER
0

connection attempts
refused & recorded

Adapted from DynoLab’s Oct 6 team-test animation.

Multi-agent safety research.

Run scenario-based experiments on open-weight models to study instruction violations, delegation and reporting failures.

  • Controlled multi-agent scenariosConfigurable tasks, agent roles, access rules & pressure prompts
  • Delegation & rule-violation analysisTrace actions and instructions across agent creation chains
  • Behavior vs. self-reportCheck agent claims against independent command & network logs
  • Repeatable open-weight model evaluationsCompare models & prompts · repeated runs · 95% intervals
nomm.ai
AI-generated sample bowl of salmon, vegetables and grains used for NommAI’s recorded model estimatesPHOTO → ON-DEVICE ANALYSIS
699kcal
estimated
GRAPE 1 XS
46gProtein
48gCarbs
39gFat
ModelRecorded example

On-device nutrition models.

Photo → calories, grams, protein, carbs & fat. In-house training with public model weights.

  • Grape 1 · 94M parametersFine-tuned SigLIP2 · FP16 ONNX · CPU inference
  • Plum 1 · 0.8B VLM + GrapeQ8_0 GGUF · food-list LoRA · llama.cpp
  • Distributional calorie estimatesGrape: 64 bins · Plum VLM: 26 calorie bands
  • Free local model inferenceONNX Runtime + llama.rn · no per-scan API fee

Paper submitted to arXiv · publication pending.

SCRATCHPADCOLLECTIVE
MESH-FORGE / 3D ASSET PIPELINE
Concept illustration of the same fox game character as a wireframe mesh, skeletal rig, gray clay render, and fully textured asset
MeshRigRenderTexture

From generated geometry to a textured game asset.

Concept illustration · pipeline in development

Generative 3D & AI game systems.

Mesh-Forge combines 3D generation, rigging and procedural animation for our games.

  • Mesh-Forge · generative 3D pipelineMesh generation → rigging → procedural animation
  • Skeletal & facial riggingBoth rig types in one character-generation pipeline
  • The StayPsychological horror · in development
  • Phase OneSci-fi psychological thriller · pre-production

Our approach

Conceptual model evaluation apparatus with a luminous lattice and optical paths passing through separate observation chambers

Research informs
what we build.

Canivel LLC works across AI safety research, model development, company building, enterprise advisory, and investment.

We study how models make decisions, where they fail, and what changes through training. Those findings guide the models and companies we develop.

Enterprise advisory

AI advisory for boards
and enterprise leaders.

We advise boards and enterprise leaders on AI transformation, from model selection and evaluation to adoption across teams and workflows.

Discuss your AI strategy ↗
  • Strategy & board advisory
  • Models & evaluation
  • Enterprise transformation
Conceptual enterprise AI architecture: interconnected glass and graphite systems with illuminated routes and checkpoints

Selected investments

Backing founders.

Writing

AI safety and model research.

Research tests, findings, and updates by Danilo Canivel.

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Contact

Let’s talk.

contact@canivel.com ↗