About Incybit
Lossless compression for active & cloud data — where dedupe helps least.
Backups are already solved by deduplication (often 10–50× on repetitive snapshots). The bigger unsolved problem is the everyday, unique data in buckets, file shares, analytics outputs, and office documents. That’s where Incybit focuses: typically 30–70% reduction (up to 76%) with zero changes to your apps or workflows.
Our Mission
Make meaningful data reduction effortless for the data you actually use every day.
- Cut storage bills and extend capacity — without rewrites or vendor lock-in.
- Remain strictly lossless and transparent to existing tools.
- Deliver steady, data-center-friendly throughput with predictable ops.
Where We Fit
How It Works (High Level)
Incybit uses producer-aware pattern dictionaries trained on real-world files (e.g., PDF, Office, Parquet). We compress objects at rest; when you access them, the exact original bytes are restored — fully lossless.
Why We’re Different
| Area | Traditional Approach | Incybit Approach |
|---|---|---|
| Backups vs Active Data | Deduplication excels on repetitive backups (huge ratios) but offers limited gains on unique, live files. | Targets active & cloud data where dedupe helps least; typical 30–70% reduction. |
| Application Changes | Custom SDKs/APIs or workflow changes may be required. | No code changes. Your tools see the original bytes on access. |
| Fidelity | Some approaches allow lossy transforms for space. | Lossless only — bit-exact on decompression. |
| Operations | Complex restore/rehydration for deduped data. | Simple at-rest compression; transparent reads; pay only when you save. |
What We Deliver
- Lower storage bills and deferred capacity upgrades.
- Smaller payloads for faster transfers and backups.
- Immediate savings once buckets are connected.
Incybit Cloud / Server
Connect S3, Azure, GCS, or local storage. Compress at rest; transparent decompress on demand. Live ratios and savings dashboard.