Data
AI needs the right data for what it fails at next
We identify capability gaps in real-world agent trajectories and turn them into targeted, high-value training data. The model’s own limits become the signal for what to learn next
Company
About Anifold
We’re building systems that help AI evolve safely
Turning every lesson into a verified next step
Our mission
Let AI evolve
Safely
Safe Recursive Self-Improvement
Today, people still discover the gaps, prepare the data, launch training, and verify the results. We are building a system that connects these steps into a continuous loop
Agents act in real environments, learn from their failures, and return with new capabilities after safety verification
Explore our researchOur vision
Intelligence that improves
with safety at every step
Connect agent execution, data generation, training, and safety verification, so experience from real tasks feeds the next round of learning
Explore the Anifold loopOur approach
Three foundations, one continuous system
Infra
Data becomes capability when it returns to training
Agent execution, evaluation, data generation, training, and model updates belong in one connected system. Every iteration becomes the starting point for the next
Safety
New capabilities can bring new risks
We embed safety evaluation, automated red teaming, and safety constraints into model iteration. Each update is evaluated against its deployment boundaries before it enters the next cycle
Our people
Frontier research
meets engineering
Continuous learning infrastructure and AI safety, bringing systems engineering and frontier research together for safe AI improvement
Meet the core teamExplore what we’re building
BUILDING SAFE RSI SYSTEMS
Build the
next iteration
Bring research, engineering, and safety together for continuous improvement
Talk to Anifold