Enabling AI
with certainty.
Data loops in and out of AI. Certainty lives at the crossing. Every payload read in full, on the way in and on the way out.
8ms
P99 end-to-end
8000
patterns, throughput flat
0
GPU consumed
Third-party validated benchmark on NOL8 test workloads and rule sets. See the numbers →
Know what data your AI is using and prove it completely.
NOL8 sits in the path your AI already uses and reads every payload as it passes: what went in, what came out, what was stopped or changed. Every verdict is kept, so “what data did our AI use last night” is a query on facts, not an attempt at reconstruction. Why NOL8 →
NOL8 is available on AWS
Coverage had a price.
Your agents call tools, pull records and hand context to each other thousands of times an hour. Checking all of it on general-purpose compute grows both latency and the CPU fleet with every rule, so you only checked a sample. Why coverage was unaffordable →
An estimate is not an answer.
It is not the only thing you can afford now.
NOL8 reads every payload while it moves, and the tail stays flat.
NOL8 does not queue
nothing waits
One pattern or 8,000
Introducing
The AI Data Plane
A layer inside the path that reads and rewrites every payload while it is still moving.
Inline.
Data passes through it. There is no path around it.
Deterministic.
Patterns, not probabilities. Same input, same result, every time.
Full coverage.
Every payload, not a sample.
INSIDE NOL8
Reads every payload on the way in and the way out, before the model or the tool sees it.
Read more about inspect and transform
Sends each request to the model that can do it, by reading the payload rather than its label.
Read more about route
Blocks or redacts in flight, per rule, per agent, per role. Nothing to copy, mask or maintain.
Read more about secure and comply
Inline, deterministic, dedicated hardware in the path. Why the tail does not move as coverage goes up.
Read more about architecture
Nothing enters unchecked.
Nothing leaves unchecked.
Everything your AI touches crosses a boundary twice. NOL8 stands at both.
Today: you check a slice.The rest passes unread.
Inspection in. Enforcement out.Deterministic both ways, every verdict in between on the record, and the rest of your stack exactly as it was.
Stop choosing between knowing and shipping.
Every pattern matched at once, in hardware.
Use cases
One plane, three phases
The same plane runs across training, serving and agents. The rest of your stack stays as it is.
filter the corpus, inline
the plane does not change. only what flows through it does.
Filter the corpus before it is trained on. Opt-out and rights lists, exact dedup, eval-set decontamination and known-bad strings, run inline instead of as a multi-day batch.
rights lists
exact dedup
eval sets
known-bad strings
Common questions
Uncertainty sucks.
Stop estimating. Your rules, your payloads, your P99.