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.
Legacy → Java, bit-exact
COBOL / JCL / MUMPS — 10 source types + binary recovery, transpiled to Java with zero deviation.
4K at 1.79 Mbps
29 years of surveillance & streaming crystallized into NormCodec and DMS. One LTE line for 4K.
Failure-aware inference router
Without touching LLM weights, suppress hallucination by -53pt (measured).
Hardware integration
Encoder devices, management consoles, and on-site SI as a vertical stack.
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.
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 120-240 billion lines of unaddressable market.
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 →
PSDP — Same-Language Parallelization
For financial trading, regulated industries (J-SOX/SEC), cloud cost reduction, HFT, scientific computing, ML inference. Hash-chained audit trail, 378 runs all bit-exact (100% determinism), 90/90 fault-injection rollbacks.
Slime-Boy: 4× speedup without changing my source? I don’t believe it… ▾
“No source rewrites” — how is that possible?
- Your
OrderBatch.javastays byte-for-byte identical (git diffshows nothing) - At build time, PSDP reads the bytecode and injects a parallel version alongside (Java agent / .NET profiler / Rust proc-macro)
- 4 cores → parallel path. 1 core → sequential. No dispatch code on your side
- PSDP’s proprietary mathematical synchronization mechanism excludes the “parallel changes my answer” failure mode by theory (details in patent filings; redacted here)
- Every production run, bench compares sha256 of sequential vs parallel; mismatch → instant rollback
Result: not one line of your code touched / just rebuild / output bit-identical / 4× on 4 cores (measured 2.97–4.23×). For audit, “zero code change” is the selling point.
PSDP overview → SlimeNENC customers: PSDP tool deployment is free; PSDP runtime is 2%/year of conversion cost.
Impact · SlimeTree-VSAM (DEVICE I/O)
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 (on track to consolidate as SlimeOS(DB)).
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
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.
Latest news
All news →- 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