Live Demo
2 SEC-filed leases loaded
Request pilot →
Session metrics
0
Memory hits
—
Hit rate
0
Tokens saved
0
Memory nodes
Routing tiers
Score ≥ 75% — instant memory hit
Score 28–74% — validation required
Score < 28% — full inference
Governance Policy
Confidence threshold75%
Freshness window30 days
Sensitive data ruleValidate before inference
Human approvalLow-confidence answers
Audit loggingEnabled
Tenant isolationEnabled
MEMStorage applies execution policy before model calls occur. Example enterprise policy — mock controls for demonstration. Execution scores shown per request are illustrative.
Audit Trail
No events yet. Each query is logged here with the policy applied.
At your scale
Monthly AI spend ($)
Estimated monthly savings$27,500
Assumed memory hit rate55%
Estimated inference reduction~55%
Illustrative estimate based on repetitive enterprise workloads. Pricing is determined during pilot scoping.
Loaded documents
athenahealth / Ponce City Market
SourceEDGAR 10-Q 2013
LocationAtlanta, GA
Size75,000 sqft
TI Allowance$5,250,000
Siga Technologies / Research Way
SourceEDGAR 10-Q 2017
LocationCorvallis, OR
Size10,276 sqft
Monthly Rent$13,872.60
User request → MEMStorage → Execution Scoring → Memory Hit Validation Full Inference
MEMStorage computes an execution score before AI systems spend compute — determining whether existing state is trustworthy enough to avoid fresh inference.
◈
Ask once. Then ask again.
The first request requires full inference. The second request shows how MEMStorage can avoid unnecessary model execution by routing to trusted state.
Start with a suggested question, then repeat it.
Without MEMStorage
$0.0000
With MEMStorage
$0.0000
Session savings
$0.0000