About lab358
We made context durable.
lab358 is an AI research company that turned a new architecture into a product you can deploy — long-context infrastructure that indexes documents once and reuses them, inside your own cloud.
The idea, briefly
Standard transformers re-read every document on every call and cap how much context they can hold. We ship models converted to a sparse, sub-quadratic architecture with that ceiling removed — so context can be indexed once and served efficiently, on far less hardware. The architecture reaches O(n log n) inference by replacing self-attention with a fully differentiable retrieval mechanism, trained jointly under a single cross-entropy loss.
Why conversion + AWS
We chose to ship as a converted model on AWS Marketplace — deployable into a customer's own account — rather than chase a from-scratch frontier model. You bring an open-weight model you already trust; we convert it and package it as a SageMaker model package, where AWS brokers the deployment so we can't extract weights and billing flows through the invoice your finance team already pays. It's the fastest path to value for teams who already trust their cloud and their stack.
Why 358
3 5 8
Three consecutive numbers in the Fibonacci sequence — a pattern of natural, efficient growth. It's the quiet metaphor for a company built to scale context without scaling cost in lockstep. “lab” signals the research rigor behind the architecture.
Boston
Built where deep tech and research talent run deep.
Pre-seed
A small, technical team — credibility from mechanism, not headcount.
Public Benefit Corp (planned)
Planned conversion to a Public Benefit Corporation, with durable, efficient AI infrastructure as the mission.
Come build durable context with us.
Investors and researchers welcome at the same address.