SDG AI Corp delivers ultra-high-throughput, deterministic synthetic data generation engineered in ANSI C. Generating 190 Megabytes of dual CSV & JSON in under 5 seconds on a single laptop CPU, scaling linearly to 4.2M rows/sec on NVIDIA DGX and Apache Spark.
Engineered Where Failure Is Not an Option
Where bloated Python frameworks fail due to memory leaks, classification barriers, or GPU costs, SDG AI Corp delivers zero-overhead deterministic execution.
NRO, Space Force & Ground Station Distribution: Full-rate satellite downlink telemetry simulation. Synthesize multi-gigabit CCSDS frame streams with microsecond timestamps (STMP1/3) and hex sync markers to stress-test Kafka/WAN pipelines without exposing classified orbits.
Zero-Cache-Pollution Financial Simulation: Licensed by STAC Research. Generates millions of order book ticks and high-frequency quotes without paying millions in exchange data licensing fees. Fits in L2/L3 cache so benchmarked systems stay 100% unpolluted.
Eliminating the "GPU Starvation" Bottleneck: While $300k+ DGX clusters sit idle waiting for slow Python disk readers, SDG AI Corp runs across 128 Spark CPU cores in RAM, streaming Arrow IPC batches directly to GPU Tensor Cores at 4.2M rows/sec.
Live Benchmark On Intel Core Ultra 9
Direct, unmodified execution stats running inside Ubuntu WSL2 on physical hardware (SDGAI01).
In a single 4.9-second pass, the engine generated both a 41 MB high-speed delimited CSV file and a 149 MB fully articulated JSON array directly into Linux /dev/shm RAM disk at 38.2 Megabytes per second.
Every single record contains 53 distinct columns—including Julian dates, scientific double precision (FLTPD), correlated cities/states/zips, and microsecond timestamps.
Scaling across the 22 cores of a standard Intel Core Ultra laptop, 1,000,000 records generate in ~2.2 seconds with only 4.6 MB total RAM consumed.
Generating 100M synthetic records with cloud LLMs consumes hundreds of kilowatt-hours and thousands of gallons of datacenter cooling water. SDG AI Corp’s ANSI C engine generates 100k records for just 6.2 mWh and 2.4 grams of CO2—compliant with federal and European ESG directives.
Calculate Synthesis Speed & Footprint
Based on verified 20,112 rec/sec single-thread baseline benchmarks.
Declarative Schema • Multi-Format Output
Inspect how a single declarative schema generates both high-speed CSV and structured JSON simultaneously.
# sdgaicorp_telemetry.yaml
version: "2.0"
output:
file_name: "/dev/shm/sample" # Automatic dual-generation to RAM
records: 100_000
format: "variable"
delimiter: ","
fields:
- name: "lastname"
type: NAMEL
length: 15
- name: "firstname"
type: NAMEF
length: 11
- name: "gender"
type: GENDR # Correlated with firstname
length: 1
- name: "floatingpointd"
type: FLTPD # 18-digit scientific precision
length: 18
- name: "datejulian4"
type: JUY4D # Aerospace Julian Day (YYYYDDD)
length: 7Commercial Software Tiers
Simple software licensing. Zero metered cloud bills. Runs on your hardware, air-gapped.
For local development & schema evaluation.
For quantitative finance, test data management, and data pipelines.
READF, COMBO)For NRO Ground Systems, STAC Benchmarks, and DGX SuperPODs.
PACKD, ZONED, EBCDIC)