From fragmented history
Raw workflow history stays noisy, over-long, and hard to evaluate when each downstream step has to recover the same decision context again.
imLayer
Restructures workflow history into compact, decision-ready state.
Runtime decision-memory infrastructure for workflow AI.
support_v1 is the first product on the layer and the first route to external validation.
What imLayer changes
What imLayer changes
Instead of passing raw workflow history forward, imLayer compresses it into bounded state for the next runtime decision.
To compact decision state
imLayer condenses that history into bounded state that carries the parts of prior workflow activity that actually matter for the next decision.
To better runtime decisions
The result is a narrower, more decision-ready runtime surface where next-action quality can improve without dragging full history forward.
Main proof highlight
2521 / 2521 evaluated
2521 / 2521
packet accuracy
1.0000
raw accuracy
0.3455
lower input tokens
61.25%
Internal runtime evidence shows stronger next-action correctness with materially lower input overhead.
Internal runtime evidence. Not customer validation, not production proof.
Gateway
Choose the next layer.
Evidence and validation
Current runtime evidence, benchmark history, methodology, and qualification boundaries.
support_v1
The first product surface and buyer-facing validation route built on top of imLayer.
Current maturity
Current maturity
Core runtime thesis — established01
Internal runtime evidence — established02
Benchmark expansion — active03
support_v1 pilot path — ready04
External validation — next05
Pilot path
Discuss a bounded support_v1 pilot.
Use one real workflow slice to evaluate the imLayer core under controlled review and clear success criteria.