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AI Memory Hypervisor

More tenants per card.
Separate memory.
Counted savings.

Syntropic runs as a container with an OpenAI-compatible endpoint. Your application keeps calling the model the same way while Syntropic separates tenant memory, deduplicates shared prefixes, and meters only physical bytes it can prove.

10× more tenants per card 354× measured shared-prefix 4.27× KV codec ratio H100 / H200 validated Qwen2.5-7B · Llama-3.1-8B validated
THE MEMORY FIELD

Before Syntropic.
After Syntropic.

100 tenants × 8,000-token shared prefix.
Shared prefix stored once, tenant memory kept separate, savings counted by the meter.

BEFORE DUPLICATED
TENANT MEMORY · UNSHARED
TENANTS100
PREFIX COPIES100
DUPLICATIONHIGH
100COPIES
Of the same 8K-token prefix
AFTER SEPARATED
TENANT MEMORY · SHARED PREFIX STORED ONCE
PREFIX COPIES1
ISOLATIONKEYED
METERPROVEN BYTES
354×
Measured shared-prefix reduction
354× measured 100 tenants · 8K shared prefix 10× tenants per card Keyed isolation Meter can say no

Fits. Separate.
Counted.

Syntropic is the hypervisor for AI memory. One card holds many tenants, each tenant's memory stays separate, and the savings are counted so the customer can audit them. Compression is how, not what.

01 · Deployment

Fits

A container with an OpenAI-compatible endpoint. Your application keeps its current call pattern while Syntropic handles memory below the surface.

02 · Isolation

Separate

Each tenant gets a keyed transform inside the codec. Shared spans can be reused; tenant-specific memory remains unusable without that tenant's key.

03 · Metering

Counted

The /stats meter counts physical bytes and refuses to price anything it cannot prove. If there is nothing to share, the meter can say no.

Public Claims
Ledger.

Every number below carries its shape: what was measured, where it applies, and what it does not claim.

Public claim
10×
More tenants per card
Shared-prefix serving workloads
Public claim
4.27×
KV codec ratio
k4/v3 · head_dim 128 · every resident byte counted
Public claim
354×
Measured shared-prefix reduction
100 tenants · 8,000 tokens · shared prefix
Public claim
12.5%
Proven savings share
Only savings the meter can prove on the customer bill
Public claim
$0
When the meter proves nothing
No platform fee. No subscription. No proven savings, no charge.

Scope matters. Numbers apply to the measured workload shape shown on each card.

How Syntropic
Fits In.

A partner runs Syntropic as a container in front of supported models. The app keeps its OpenAI-compatible calls; Syntropic separates memory, deduplicates shared spans, and reports physical byte savings at /stats.

Step 01Container

Run the container

Deploy the Syntropic customer image into your inference environment.

Step 02Same API

Keep the same API

Your application calls an OpenAI-compatible endpoint. No application-side rewrite.

Step 03Meter

Read the meter

The /stats meter reports physical bytes and only prices savings it can prove.

Container first.
No app rewrite.

Syntropic ships as a customer container with an OpenAI-compatible endpoint. Partners route traffic through it and inspect /stats for byte-level savings.

  • Customer container — v0.6 released, v0.7 next
  • OpenAI-compatible endpoint — zero code change on the application side
  • Shared-prefix deduplication — the measured core of the product today
  • Per-tenant keyed isolation — bytes unusable without the tenant's key
  • /stats live meter — counts physical bytes and refuses to price anything it cannot prove
partner-quickstart METER LIVE
# Partner image
syntropic customer container        # v0.6 released · v0.7 next

# Application side
OpenAI-compatible endpoint            # no application rewrite

# Meter
GET /stats

# Response shape
{
  "meter": "proven_physical_bytes",
  "tenant_isolation": "keyed",
  "pricing": "proven_savings_only"
}
Codec
4.27×
Isolation
KEYED
Meter
/stats
Pricing
PROVEN

Illustrative shape only — the exact image name, commands and endpoint paths are provided to partners.

70+ Patent-Pending
Applications.

A multi-layer portfolio around memory serving, tenant separation, codec behavior, measured metering, and deployment architecture.

L1 · Layer

Memory Sharing Core

Shared-prefix deduplication and tenant-aware memory layout.

L2 · Layer

Codec Layer

KV codec behavior with k4/v3, head_dim 128, every resident byte counted.

L3 · Layer

Isolation Layer

Per-tenant keyed transforms make bytes unusable without the tenant's key.

L4 · Layer

Metering Layer

/stats counts physical bytes and refuses unproven savings.

L5 · Layer

Deployment Layer

Containerized OpenAI-compatible endpoint for production inference.

Detailed architecture available under NDA.

Validated on
Real Hardware.

H100 and H200 validation with supported open-weight models, per-model calibration, live generation review, and byte-level metering.

REAL HARDWARE
H100 / H200
NVIDIA · validated
VALIDATED MODEL
Qwen2.5-7B-Instruct
Per-model calibration by measurement
VALIDATED MODEL
Llama-3.1-8B-Instruct
Per-model calibration by measurement
/STATS METER
Physical bytes
Counted · refuses unproven savings
CUSTOMER IMAGE
v0.6
Released · v0.7 next
Tenant density
Shared-prefix serving workloads · conceptual scale
10× PUBLIC CLAIM
BASELINE
1×
SYNTROPIC
10×
10×more tenants per card Shared prefixserving workloads Conceptnot a throughput benchmark
Shared-prefix measurement
100 tenants · 8,000 tokens · shared prefix
354× MEASURED
UNSHARED
100 copies
SYNTROPIC
1 copy
354×measured 100tenants 8,000tokens · shared prefix
Codec ratio
k4/v3 · head_dim 128 · every resident byte counted
4.27×
KEYS
k4
VALUES
v3
HEAD_DIM
128
4.27×KV codec ratio k4 / v3keys · values Allresident bytes counted
Meter truth
GET /stats · physical bytes
CAN SAY NO
<1 → $0

“Our meter can say no. With nothing to share, it reads slightly below one and charges nothing. That is why the other numbers are worth something.”

Below 1when nothing is shared $0charged Noneplatform fee · subscription
VALIDATED ON
NVIDIA H100 · H200
Real hardware · live generation review
Qwen2.5-7B-Instruct · Llama-3.1-8B-Instruct
Per-model calibration by measurement
Customer image v0.6
Released · v0.7 next

Three segments.
One memory hypervisor.

Syntropic sells where repeated prompts, shared prefixes and tenant separation decide the economics of a card.

01 · Inference providers

Inference Providers

For teams serving repeated prompts, shared prefixes, and multi-tenant inference at scale.

02 · Sovereign & regulated

Sovereign & Regulated Deployments

For environments where tenant separation, auditability, and local control matter.

03 · Enterprise self-host

Enterprises Self-Hosting Open-Weight Models

For organizations running Qwen, Llama, or similar open-weight models and needing better card economics.

Get your number.

Export a trace of your traffic, run one script on your own machine, and get a one-page report on your workload. Only hashed spans leave.

01
Export a trace
Export a trace of your production traffic from your serving stack. The shape is what matters: prompts, tenants, shared prefixes.
02
Run one script locally
Run the script on your own machine. It hashes spans and measures what could be shared.
03
Only hashed spans leave
Raw prompts and tenant data stay with you. Only hashed spans are sent to Syntropic.
04
Receive your one-page report
A one-page report on your own workload: what fits, what stays separate, and what the meter would count.
Request the script
Tell us about the workload

We reply with the trace-export instructions and the local script. Your raw traffic never leaves your machine.

or email hello@thesyntropic.com

Only hashed spans leave your machine. The report covers your own workload shape, not a generic estimate. Prefer to model fleet economics first? Illustrative savings model →

Built by the
People Who Invented It.

A focused team turning patent-pending compression research into production infrastructure.

Yosef Elimlich
T-01
Yosef Elimlich
Founder & Sole Inventor

Founder and sole inventor on Syntropic's 70+ pending patent applications. Architected the platform from foundational compression algorithms through production deployment. The technical lead on every layer.

Avi Ben Shoushan
T-02
Avi Ben Shoushan
Data Center Infrastructure

Data-center architect with 20+ years in enterprise storage and disaster recovery. Led the planning, build and production hand-off of Bank Hapoalim's largest and most secure data centers. CDCDP-certified.

Israel Ben Shitrit
T-03
Israel Ben Shitrit
Business Development & Growth

Business development and growth leader across Israel, Europe and the U.S. Drives market entry, strategic partnerships and fundraising — from first commercial engagement through long-term operations.

Rafael Smadja
T-04
Rafael Smadja
Graphic Designer & Web

Brand identity, thesyntropic.com, and core web presence. Translates the technical platform into investor-grade visual communications.