Beyond static embeddings.
Evolving data representations at your fingertips.
Always have access to the data representation most useful for you. Dynamically read, write, and manage your semantic space at scale making sure you understand exactly what is and isn't represented by your data.
Use the same embeddings for all your teams without worrying about the optimal representation. No more headaches around re-indexing, re-embedding, and re-engineering.
Use the same embeddings for all your teams without worrying about the optimal representation. No more headaches around re-indexing, re-embedding, and re-engineering.
1.
Fix edge cases with targeted changes, not blind fine-tuning.
2.
Efficient re-indexing for vector stores at scale based on semantics.
3.
Fine-grained revision control for data used by every team.
Embedding spaces as software.
Fix the root cause, don’t mitigate symptoms. We’re introducing a paradigm shift in how engineers work with embedding spaces. Understanding semantic spaces and being able to make highly targeted modifications without impacting existing desirable properties is at the heart of what’s missing in today’s software + ML integrated systems. Our philosophy is that engineering teams should be able to work with embedding-based ML models just like they do with software - benchmark, debug, fix, and eval. Modern fine-tuning is like re-writing half your code base when a two-line fix is enough.
We are an applied research lab working on mutable embeddings; at the core of our research is being able to extract "canonical" features in semantic space and applying constrained optimization to override exactly the information we want. We aren’t an embedding model company - we are the layer that actually makes them usable for enterprises.
We are an applied research lab working on mutable embeddings; at the core of our research is being able to extract "canonical" features in semantic space and applying constrained optimization to override exactly the information we want. We aren’t an embedding model company - we are the layer that actually makes them usable for enterprises.
