01 — INTEGRITY
Every byte comes back.
Successful decoding restores the original source. Integrity checks make that promise verifiable.
LOSSLESS COMPRESSION ENGINE
Less to store.
Every byte back.
Lossless compression for media, AI and communication. Evaluate a smaller footprint for your storage and transfers—with every original byte recoverable.
✓Your workload. Measured results. A clear decision.
LESS TO STORE.EVERYTHING TO RECOVER.
SAAR / 01
A RECORDED BEFORE & AFTER
Less space.
The same original bytes.
Compare the storage footprint in a recorded four-file study, with every original byte recovered.
53.3%less storage in this study
Exact recovery verified
Original files100%
After Saar46.7%
Retained footprintSpace saved
Four unique files · Recorded 13 October 2026 (SGT) · Complete encoded sizes · Historical native profile; not the live runner. Results depend on the input. Exact sizes are available in the benchmark results.
Inspect the results and compare your bytes →ONE ENGINE. MANY POSSIBILITIES.
Everything worth keeping.
Exactly as it was.
Text. Media. Intelligence. Communication. Explore what byte-exact compression means for your world—and what the evidence supports today.
Measured file comparisons
Keep the meaning. And every character.
Documents, source code, logs and structured exports—all preserved as original bytes, including line endings and metadata.
Discuss this workload →01 / THE ENGINE
Change the footprint.
Keep everything else.
Your data carries meaning. Compression should preserve it. Saar is built around byte-exact recovery, with integration boundaries that fit the way you work.
02 — INTEGRATION
Your stack. Saar inside.
A native C11 SDK and command-line interfaces for object and stream workflows.
03 — CONTROL
Choose your boundary.
Integrate into your systems, or explore the Saar workspace. Hosted account services are being configured.
BUILT AROUND YOUR WORKLOAD
Make room.
For what comes next.
Start with the bytes that matter to your business. Measure the opportunity before changing your infrastructure.
Keep the original.
Question the footprint.
Evaluate documents, logs, exports and binary objects against the codecs you already use.
Evaluate storage →Every detail.
Every original byte.
Test images, audio, video and message payloads as exact byte sequences. Already compressed formats may offer little additional reduction.
Evaluate media →Your next system.
A measured foundation.
Explore datasets, embeddings and application payloads. Compare size, latency and memory on your own representative files.
Evaluate AI workloads →A CLEAR PATH TO A DECISION
Before you integrate.
Know the difference.
A commercial conversation should begin with evidence, not a promise that one codec wins everywhere.
Plan your evaluation →- 01
Define success.
Choose your workload, current codec and operating constraints.
- 02
Compare the whole picture.
Inspect compressed size, encode and decode speed, memory and exact recovery.
- 03
Discuss a commercial fit.
Review integration and licensing with HEOSSI based on the results.
03 / BENCHMARK EXPLORER
Every trade-off.
Out in the open.
Compare Saar with Brotli, Zstandard, gzip, XZ, bzip2 and LZ4 in recorded studies. Inspect size and throughput, then explore each file and the limitations.
4 files in this set20.71 MiB selected input8 measured codecsOct 13, 2026
Native fast profile, final candidate frozen before this workload set was acquired. Saar before/current frames are byte-identical.
Four acquired files from a five-file plan frozen before acquisition; Wikimedia returned HTTP 403 for the fifth. Engineer-selected and not independently curated. Process launch and pipe transfer are included. Peak memory and in-memory kernel speed were not measured. Results support this workload set only.
Saar current Saar before CompetitorsRecorded results · All three metrics use the same selected files
Compression ratio
Original size ÷ encoded size
×Higher is better ↑
Encoding speed
Original bytes processed per second
MB/sHigher is better ↑
Decoding speed
Original bytes recovered per second
MB/sHigher is better ↑
Compression ratio = total original bytes ÷ total encoded bytes (1× means no size change). Aggregate speed = total original bytes ÷ sum of per-file times, in decimal MB/s. Peak RSS = maximum recorded per-file child decode RSS. Recorded comparisons are not a live feed or an independent ranking. Compare within each set; different revisions and datasets are kept separate.
Open the full results, exact values and test context →WHERE ORIGINAL BYTES MATTER
For the work
behind everything.
From cloud platforms to connected systems, start with a representative workload. These are evaluation use cases—not customer endorsements, verified integrations or sector certifications.
Cloud & enterprise
Object storage, exports, logs and backups. For teams evaluating infrastructure on AWS, Azure or Google Cloud; deployment compatibility requires validation.
Discuss your requirements →AI & developer platforms
Serialized embeddings, datasets, agent conversations and state. Assess native integration in AI and NVIDIA-based environments; no GPU acceleration claim.
Discuss your requirements →Media & streaming
Image and video libraries, voice files, creator and adult-media archives. Preserve encoded originals; already compressed media may offer limited savings.
Discuss your requirements →Networks & communication
Chat exports, protocol captures and communication payloads. Link capacity and real-time latency must be evaluated separately.
Discuss your requirements →Space & connected systems
Satellite imagery files, telemetry records and sensor captures. General byte compression is not flight qualification or a verified satellite-link integration.
Discuss your requirements →Healthcare, finance & government
Medical files, financial exports and public-sector records where exact preservation matters. Sector compliance and deployment acceptance are separate requirements.
Discuss your requirements →Storage & devices
Files on HDDs, SSDs, archival systems and edge devices. Stored files can be evaluated; Saar is not a transparent drive or CPU acceleration layer.
Discuss your requirements →Blockchains & cryptographic systems
Ledger exports, application state and serialized PQC payloads. Compression does not replace cryptography; encrypted or random bytes may not shrink.
Discuss your requirements →MEET SAAR WHERE YOU WORK
Your tools.
A place for Saar.
Native SDK
Embed the C11 engine in your software. Integration and platform acceptance are assessed for your environment.
Evaluation accessDiscuss access →Command line
Bring compression and recovery into explicit file and pipeline workflows.
Evaluation accessDiscuss access →MCP server
Source implementation connects agent tools to an installed native engine. Not an independently accepted public release.
Release validation pendingDiscuss access →VS Code extension
Source implementation adds file compression and recovery commands. Requires the native engine; not a verified Marketplace release.
Release validation pendingDiscuss access →BEFORE YOU BEGIN
Good questions.
Clear answers.
Will Saar reduce every file?
No. Results depend on the input and profile. No verified terabyte-scale result or general TB-to-MB reduction is established. Encrypted, random and already compressed content may not shrink. Use the recorded benchmarks as evidence for those tested files, then evaluate your own workload.
Does lossless mean the original is identical?
Yes. Successful lossless decoding reconstructs the original bytes, rather than a perceptually similar image, voice or video. Verify round trips as part of your acceptance criteria.
Can I process files in this portal today?
Hosted sign-in, processing and billing are not active. You can inspect benchmarks, review native integration guidance and prepare an evaluation brief to discuss with HEOSSI.
How do we discuss licensing?
Saar is proprietary software from HEOSSI. Start with your deployment and distribution requirements; commercial terms and pricing must be agreed with HEOSSI.
BUILT BY HEOSSI. BUILT FOR WHAT’S NEXT.
Your data.
More possibility.
Bring your workload. Define your requirements.
Find out where Saar fits.