Bitruvius Imagery & 3D Suite

One vendor. Every imagery format.

RIPT and BVC (Track A: adopt a native format for core compression wins — raster and volumetric) plus eight drop-in codecs (Track B: keep your format, swap the backend) — now including TurboLZ4 (liblz4) and TurboSPZ for 3D Gaussian Splats. Memory-safe, cross-architecture determinism, wire-format compatibility across the entire stack.

Track A

RIPT + BVC

Adopt a native Bitruvius format for structural wins the drop-ins can't reach — across raster and volumetric.

RIPT — raster & elevation

  • - Basemap-grade DEM (lossless) vs Esri LERC: up to 99.5% smaller, up to 6× faster encode, 100% win rate on 60 files
  • - Basemap-grade bathymetry (lossless) vs Esri LERC: up to 99.9% smaller, 100% win rate on 60 files
  • - High-res LiDAR DEM vs Esri LERC: lossless decode ~2.8× faster; lossy (≤0.1 m) up to ~2.5× smaller at matched accuracy
  • - $1.302 billion/yr combined value, top 4 cloud providers
  • - $7.45 billion 5-year total
  • - Payback 12-19 months
  • - Multi-platform: AVX2 / NEON / WASM SIMD128 / scalar

BVC — volumetric (point clouds & splats)

  • - One codec for lidar point clouds and Gaussian splats
  • - Lossless files smaller than the incumbents' lossy — 6.30 B/pt (lossless flagship) vs LAZ 7.64; 14.3 B/splat (SH-compressed) vs SPZ 23.0
  • - Decoded at GPU speed across native and WASM

Sales motion: format adoption. Pilot: multi-quarter. Best fit: cloud providers, geospatial & 3D platforms, and greenfield.

Track B

Eight Drop-in Codecs

Keep your format. Swap the backend. Get the wins.

  • - TurboLERC - Esri LERC drop-in
  • - TurboWebP - libwebp 1.6.0 drop-in (CVE-2023-4863 memory-safe)
  • - TurboJXL - libjxl 0.11.2 drop-in (smaller than cjxl -e1, memory-safe, ~42–71× faster per-core encode vs cjxl -e7)
  • - TurboLZW - libtiff 4.7.1 LZW drop-in (12.6x via parallel API)
  • - TurboLZ4 - liblz4 (official C LZ4) drop-in (2.05x decode, 1.49x encode, ≈equal size)
  • - TurboZstd - libzstd drop-in (1.7-3.1% smaller, 5-10x archival)
  • - TurboLEPCC - Esri lepcc drop-in (1.75x Esri C++ decode)
  • - TurboSPZ - Niantic libspz v4 drop-in (4-7x faster encode, archive profile 3.1-3.5% smaller AND ~1.6x faster; 3D Gaussian Splats)

Sales motion: library swap. Pilot: 2-6 weeks per drop-in. Best fit: any customer who already uses the upstream.

The Suite

Pick your level.

Track B headline speedups

Encode and decode wins vs each upstream library on the Bitruvius 804-sample corpus. Hover a row for context; click for full product detail.

Encode Decode ▲Parallel peak — — Upstream parity
0×1×2×3×4×5×6×7×8×Speedup vs upstream library1× parityTurboLERCvs Esri LERC2.6× enc1.9× decwire-identicalTurboWebPvs libwebp 1.6.04.5× enc1.2× dec4.4% largerTurboJXLvs libjxl 0.11.2▲ per-core encode vs cjxl-e7 71.0×2.0× enc1.0× dec3.3% smallerTurboLZWvs libtiff 4.7.1 LZW▲ 24-core parallel 10.0×1.2× enc1.2× decwire-identicalTurboLZ4vs liblz4 (official C LZ4)▲ RGB ortho decode 3.5×1.5× enc2.0× dec0.5% largerTurboZstdvs libzstd (RFC 8478)7.5× enc1.4× dec2.3% smallerTurboLEPCCvs Esri liblepcc▲ Intensity dec (NEON) 4.1×1.8× enc1.9× decwire-identicalTurboSPZvs Niantic libspz v4▲ multicore encode 7.3×4.2× enc1.4× dec3.3% smaller

drop-in for Esri LERC

TurboLERC

Mac NEON 2.64x enc / 1.91x dec

library swap (turbolerc-libwebp-shim / TIFFRegisterCODEC path varies)

drop-in for libwebp 1.6.0

TurboWebP

4.5x encode, 27/32 decode cells beat libwebp; within 4% on size

turbowebp-libwebp-shim cdylib (LD_PRELOAD / DYLD_INSERT_LIBRARIES / DLL drop)

drop-in for libjxl 0.11.2

TurboJXL

smaller than cjxl -e1, memory-safe, ~42-71x faster per-core encode vs cjxl -e7

cjxl/djxl-compatible CLI + native API (bit-exact wire)

drop-in for libtiff 4.7.1 LZW

TurboLZW

1.15-1.20x Intel, +33-35% NEON, 10x parallel

C-ABI cdylib via TIFFRegisterCODEC; LD_PRELOAD / DLL drop

drop-in for libzstd (RFC 8478)

TurboZstd

1.7-3.1% smaller L1-L9, 5-10x archival

zstd-compatible native API; RFC 8478 wire

drop-in for Esri liblepcc

TurboLEPCC

Beats the Esri C++ reference on every kernel; 9.74x peak

Native library / FFI (ArcGIS I3S consumer)

drop-in for Niantic libspz v4

TurboSPZ

4-7x encode; archive profile 3.1-3.5% smaller AND ~1.6x faster; bit-exact libspz v4 quantization

turbospz-ffi cdylib + cbindgen header; native library (turbospz-safe)

Tiered adoption economics

Value compounds with format coverage.

The largest structural win comes from adopting a native format — RIPT for raster, BVC for volumetric — on greenfield and migrate-able workflows. The interim tiers grow with the number and types of imagery formats a customer swaps onto the Bitruvius drop-ins.

TierAdoption shapeCumulative multiplierCompounding drivers

Tier 0

Single drop-in pilot

1 Turbo* product replacing 1 upstream1.0xBaseline - in-product storage / bandwidth / CPU savings only

Tier 1

Multi-format drop-in adoption

2-3 Turbo* drop-ins live1.5-2.0x+ single-vendor procurement, shared support contract, cross-product engineering integration

Tier 2

Full Turbo* suite adoption

4-6 Turbo* drop-ins live2.5-3.0x+ cross-format pipeline efficiency, unified observability, consolidated security review (one zero-unsafe posture, one CVE attack surface)

Tier 3

RIPT / BVC native-format adoption

RIPT (raster) or BVC (volumetric) replaces the native format for greenfield or migrate-able workflows4-6x+ structural compression wins not available in upstreams: RIPT-native lossy mode, 14-domain profile tuning, multiband BSQ/BIL/BIP, NoData mask integration, plus BVC lossless point clouds & splats below incumbents' lossy (maximum architectural lift)

All multipliers below are DIRECTIONAL and PENDING DESIGN-PARTNER VALIDATION. Tier 3 (RIPT / BVC native-format adoption) is where the architectural lift compounds; Tiers 0-2 are interim values that grow with the number and types of imagery formats adopted.

Shared properties

Two structural choices the C upstreams cannot retrofit.

Memory safety

Every Track B consumer library (turbo*-safe) is zero-unsafe. TurboWebP replaces the libwebp C library implicated in CVE-2023-4863 (heap buffer overflow exploited in the wild, September 2023). Every other drop-in replaces a C codec with the same class of risk.

Cross-architecture determinism

Byte-identical encoder output across AVX2 / NEON / WASM SIMD128 for TurboWebP, TurboJXL, TurboZstd, TurboLERC. Same input + same level + any host = same output bytes. The C upstreams do not offer this.

Talk to us about the suite.

Drop-in pilots run 2-6 weeks. The first one wins; the second is a cross-sell. Bring the customer's own corpus.