Java — 3× faster, untouched.
Cut your cloud bill — starting next month.
Without touching a single line, make your Java app 2.97–4.23× faster. Cut EC2 / GKE to 1/3–1/4. Output bit-identical; every regression test passes, guaranteed.
| Conventional | PSDP | |
|---|---|---|
| Source changes | thousands+ | 0 lines |
| Build changes | required | none |
| Output diff | re-verify | bit-exact |
| Rollback | hard | 90/90 verified |
| Adoption cost | license+labor | free+2%/yr |
Estimate your workload → (prov.)
PSDP — Same-Language Parallelization
Inject deterministic parallelism into existing apps — with no source rewrites.
PSDP (Phase-Synchronous Deterministic Parallelism) is a standalone product that adds parallelism to existing Java / C# / Rust / Go / Kotlin and 16 more via runtime injection, delivering 2.97–4.23× speedup without changing a single bit of the result.
Slime-Boy: 3× untouched? How?? ▾
- Your
OrderBatch.javastays byte-for-byte identical (git diffshows nothing) - At build time, reads the bytecode and injects a parallel version (Java agent / .NET profiler / Rust proc-macro)
- Every run, sha256 of sequential vs parallel compared; mismatch → instant rollback (90/90 verified)
How it works → (prov.)
SlimeNENC — legacy & language conversion
Java 8→17 / 17→21 (378/378), COBOL→Java (NIST 501/501; 5,270/5,270 across external corpora), plus C#, Rust, Go, Kotlin, … — all byte-exact, third-party reproducible in a sandbox.
PSDP — Phase-Synchronous Deterministic Parallelism
Runtime-injects parallelism at build time for 2.97–4.23×. No source changes, output bit-identical, 90/90 verified.
NEW · 2026-06-02 Flagship service · MIT source ★ 18/18 cost-tier (B) live ★ R 28% measured (2026-06-01) EN / JA parity 28 pages
SlimeTree-RLM × Platform Integrations Hub
Wrap each SNS / business platform API with an RLM pre-filter (D/µ/R deterministic classification + SHA-256 audit chain). Cut LLM cost 60-80% — same rate with Gemini, Claude, OpenAI, or Grok.
★ All 18 routes ship cost-tier (B) escalation — cheap LLM → RLM re-judge → escalate only insufficient to premium. Adds another 50-70% cut on top. R rate 28% measured (2026-06-01, ↔ 27% estimate, +1pt match). The shared module (MIT, 4 providers) is importable directly from Claude Code / OpenAI Codex.
Platform Integrations Hub → ★ NEW: Measurement dashboard → 6-pattern showcase → Layered-cut numbers →
JAVATEL — IP house across 7 domains
From video, language & AI to device, quantum, biochem & autonomous.
Founded 1997. Patent-anchored, math-backed foundation tech across 7 domains. Video and language are our two main pillars, with AI inference control, device integration, quantum resistance, biochem and autonomous-systems control expanding from the same theoretical base.
COBOL · Python · Binary → any language ✓bit-exact
10 legacy types + Python → Rust + binary recovery — to COBOL / Java / C and more, bit-exact.
4K at 1.79 Mbps
29 years of surveillance & streaming crystallized into NormCodec and DMS. One LTE line for 4K.
-44pt fewer hallucinations — weights untouched
Weights untouched — hallucinations -44pt (real LLM bench), responses up to 5.8× faster. Just layer it over any LLM.
Storage, servers, networking
Slime storage (VSAM 480× faster, RLM), servers / workstations / network gear — integrated and field-deployed.
Structural quantum resistance
Non-commutative algebra foundation independent of integer-theoretic cryptography. Aimed at the 2030s crypto transition.
Math-driven drug design
Same commutator-norm theory applied to molecular design and reaction-path optimization.
Math-backed safe autonomy
Commutator-norm theory extended to autonomous agents, robotics and self-driving decision-assurance layer.
AS/400 · IBM i — device → language
Lift your AS/400 — by the unit.
CL, RPG and COBOL — the whole box, modernized as portable code. 1,700+ real-world RPG programs already ingested and processed by the pipeline (internal RPG corpus, pass count). Continuity, not rewrite.
LANGUAGE · Highlight
Conventional wisdom
No. BLACKBOX — bring it on.
COBOL migration does not need a “semantic understanding” step. Treat the source as the spec, deterministically transcribe it bit-exact. That’s all.
Slime-Boy: Why don’t you need to understand the meaning?! 💢
“Meaning” depends on human perception — there is no mathematical rigor in it. The same code reads differently to different people, so an “understand-it-then-rewrite” migration injects that wobble.
The target is bit-code written as 0101… — that is structure. Structure is unambiguous and uniquely determined.
SlimeNENC projects (π) the structure of the original COBOL onto Slot IR and transcribes it structure-preserving into the target (Java, etc.). No “understand the meaning” step — so it can guarantee mathematical rigor (bit-exact).
Avoid the CBA / IRS / TSB Bank multi-hundred-million-dollar failures. Transport it byte-for-byte, no rewrite.
Does not contradict “no silver bullet”: the right lineage is preserve-and-transport, not rewrite.
LLM-based migration drifts run-to-run. Our output is byte-identical every time.
SlimeRESCUE family rebuilds C / Java from binaries — covering an estimated 12-24 billion lines of unaddressable market (~80B COBOL lines × 15-30% source loss).
Measured (2026-05-20): US Federal COBOL Validation (FIPS 21-3) + 11 corpora + Medicare 7 lineages — 5,270 / 5,270 bit-exact identical (100.000%). Anyone can third-party reproduce in a sandbox.
Not only legacy — modern languages too. The same structural translation, now Python → Rust, bit-exact (SHA-256 identical): SlimePython →
★ LANGUAGE impact ★ DEVICE I/O cross-listed
Once the migration is done, the next problem is storage.
Even after a BLACKBOX bit-exact transcription succeeds, if the destination is a general-purpose DB like PostgreSQL, financial-core overnight batches often crush their window. SlimeTree-VSAM provides VSAM-compatible (KSDS / ESDS / RRDS) native storage as a single Rust binary — 480× faster than PostgreSQL in same-host bench, with a SHA-256 audit chain built in so tamper detection works even in air-gap environments. A simple-record-system variant, member of the Slime storage family.
SlimeTree-VSAM details → Primary materials / white paper → LANGUAGE category →
VIDEO · Highlight
4K, at 1.79 Mbps.
Even to the eye, you can’t tell the difference. Concentrate bits only where the human eye looks (commutator-norm), dropped into existing H.264 / AV1 with no decoder change.
Browser decode: 544 KB WASM at 41.79 fps; smooth 4K playback on a 2-core CPU alone. Confirmed 4K @ 30 fps on iPhone / Intel laptop / AMD desktop.
VIDEO category → Live A/B demo → 30-day trial →
Patents pending: JP 2026-046898 / 046609 · Paper: IEEE TCSVT v8 submission
★ DEVICE I/O Highlight ★ AI application
SlimeTree-RLM — a semantic-driven record system, a single 272 KB Rust binary.
Layered orthogonally over an existing system (LLM / decision engine / business rule) to apply semantic-driven constraints and records. A single Rust binary, deterministic, server-less on browser / mobile / embedded. Usable from both AI and non-AI.
SlimeTree-RLM details → Primary materials / white paper → DEVICE category →
Latest news
All news →-
LANGUAGE
AS/400 (IBM i) CL verified bit-exact on real hardware ― Original CL run on a real IBM i, output diffed byte-for-byte against SlimeCL’s bash and Rust: 3 / 3 bit-exact. Real hardware caught fixed-length
*CHARand decimal-format gaps — fixed and published. - LANGUAGE Mainframe DB backend SlimeTree-VSAM — 480× faster than PostgreSQL ― VSAM-compatible native storage in Rust, direct same-host bench against PostgreSQL 16: sequential cursor 480×, random key access 267×. 1B-record overnight batch from PG's 19.5h to 4.4 min, SHA-256 audit chain built in.
- DEVICE SlimeTree-RLM (semantic-driven record system) Rust-ported to 272 KB WASM ― An orthogonal layer over an existing system. Single 272 KB WASM, 24× faster than Python, stable under 10,000-unit stress (zero data loss). Runs server-less.
- DEVICE SlimeTree-RLM application (AI): hallucination 66% → 22% (-44pt) without modifying any LLM weight ― Layered orthogonally on Qwen3:8b, 100 questions × 3 trials (σ=4%): "plausible lies" reduced to one-third, response 5.8× faster. RLM is not AI-specific; equally usable for non-AI (audit / decision) applications.
- LANGUAGE SlimeNENC engine rewritten in Rust ― Size 1/3.5, harder to reverse-engineer, output bit-exact to the Python baseline.
- LANGUAGE Recovering COBOL + Java from mainframe binaries when source is lost ― New SlimeRESCUE-VOS3, 6/6 exact match with the IBM-canonical emulator.
- LANGUAGE US federal Medicare pricing → 5-language auto-conversion ― Domain where 1¢ off = federal violation; 675/675 success.
- LANGUAGE SlimeCOBOL reorganised into 5 SKUs ― Today releases SlimeCOBOL-MF / -GnuCOBOL.
- LANGUAGE 1976-born, ~100k-line accounting system: fully converted ― 685/685 identical (100%).
- LANGUAGE US federal COBOL Validation (FIPS 21-3) cleared ― 10 corpora, 782 files → 5 languages, 3,910/3,910 match.
- META SIer / Reseller Partner Programme launched ― Online application open.
- LANGUAGE PSDP 4-way pricing finalised ― See pricing for details.
- LANGUAGE PSDP released as an independent product line ― Same-language parallelization, separated from the SlimeNENC family.
- LANGUAGE SlimeASM released ― z/Architecture HLASM + x64 MASM → Java bit-exact.
- VIDEO NormH.264 v0.4.2 released ― Trial Signature Mode by default; AV1 path moved to NormAV1.
- LANGUAGE SlimeNatural released ― Software AG Natural / ADABAS → Java + PostgreSQL bit-exact.
- LANGUAGE SlimeFORTRAN 9-language multi-target completed ―
JAVATEL Inc. has delivered surveillance camera systems, video management, and media streaming across Japan since 1997. Headquartered in Nishinomiya, Hyōgo. The Video Intelligence in our company logo is not a recent trend — it is the direction we have walked for more than 29 years.
Partners: Genetec (longest-tenured authorized partner in Japan) / XEOMA AI NVR / Planet Networks (Taiwan) ·
Why Javatel · Partners · Contact