Incybit Roadmap

Our roadmap shows upcoming features and integrations for Incybit — focused on shrinking active & cloud data by 30–70% (up to 76%), where dedupe helps least

Live

Incybit Cloud / Server

Launched: Aug 2025

Connect S3, Azure, GCS, or local storage. Compress at rest; transparent decompress on demand. Real-time metrics and “bill only when you save.”

S3 · Azure · GCS · Local PDF · Office · Parquet Dashboard & ratios

Beta

Desktop App

Target: Nov 2025

Refreshed Windows app with higher throughput, improved training, and side-by-side result inspection. Built for analysts/admins who want local control.

Faster pipelines Producer-aware DBs Visual diffs

Beta hardening and perf tuning

Packaging, auto-update, diagnostics

Release notes & documentation

Get updates Request beta access

In progress

Analytics & Insights

Rolling releases: Q3–Q4 2025

Dashboards for finance and engineering: storage growth, effective ratios, and dollar savings by bucket, format, and time. Exportable charts for reporting.

Savings over time Provider breakdown CSV/PNG export

Monthly savings view & export

Per-format benchmarks (PDF, Office, Parquet)

Anomaly alerts & budget thresholds

Planned

SDKs & APIs

Design phase

Developer-friendly SDKs and REST endpoints for integrating Incybit into apps and pipelines. Clear contracts, predictable performance, observability.

.NET · Node REST / Webhooks Auth & rate limits

Public schemas & sample repos

Staging environment & keys

Usage metering & logs

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Planned

AI Optimizer

Exploration

Adaptive tuning that selects and prioritizes pattern dictionaries for your workloads automatically. Goal: better ratios with steady compute, no manual tuning.

Adaptive dictionaries Throughput targets Zero-touch tuning

Dates are indicative and may change. Savings vary by data type and workload; “30–70% (up to 76%)” reflects typical to best-case results observed on specific datasets.