Hyper-Tuned Precision
Real client results on held-out domain data. Select your domain to see how LexaForte performs against the strongest available baseline.
Commercial baseline
Custom trained baseline
Hybrid NMT + LLM · EN → RU
Real client result on held-out Chemistry & Pharma data. Commercial-grade quality from small, specialized datasets.
Scores measured with SacreBLEU on held-out domain data. LexaForte engines are fully private, tag-safe, and deployable on your infrastructure or ours.
Why Hybrid Wins
Same technical segment. Three engines. See exactly what each one does to your content.
Source
Measure <chem_tag>H2SO4</chem_tag> purity at 20°C (target: 0,5 M).
Fast · Literal · Fragile
Messen Sie H2SO4 Reinheit bei 20°C (Ziel: 0,5 M).
Fluent · Unstable · Expensive
Bestimmen Sie die Reinheit von H2SO4 bei 20 Grad Celsius (Zielwert: 0.5 Mol).
Precise · Locked · Controlled
Bestimmung der <chem_tag>H2SO4</chem_tag>-Reinheit bei 20 °C (Sollwert: 0,5 mol/l).
NMT alone drops structure. LLM alone invents. Hybrid keeps the speed of NMT and the control of a locked terminology layer.
Security & Topology
The processing engine is physically isolated from the public internet. Public requests never hit model memory directly.
Public face of the stack: marketing site, client portals, Nginx TLS termination, and reverse proxy to the engine. No models live here.
Dedicated host for float16 engines, client shields, LRU cache, and optional LLM boost. Port 8000 is locked to the gateway.
Data Architecture
Proprietary cleaning engine covering ~20 scripts — Latin, Cyrillic, CJK, Ethiopic and more. Noise is removed before a single training step runs.
Rust / C++ multi-threaded pass that vaporizes control characters, PUA Unicode, broken text, duplicate segments and OCR artefacts.
Source and target checked together across CPU cores: number consistency, script-leak rates, bracket symmetry, and tag balance.
Purification is simulated with nothing written to disk. Every kept or killed pair is logged with a reason, then locked into a client JSON rule set.
Upload a TMX or TSV for an instant diagnostic audit.
Drop TMX / TSV / parallel file here
or
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Health
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Retention
0
PUA cleaned
0
Tags fixed
Core Advantages
Every layer of LexaForte was engineered to eliminate the chronic failure modes of commercial engines.
HTML, placeholders, chemical subscripts and proprietary tokens are natively protected. No post-processing tax.
Static lock-in during training + dynamic runtime hot-fixes. Product names stay correct forever.
NMT runs on a firewalled production host. Training sets are deleted after fit. Shared-price LLM boost uses OpenRouter; a dedicated GPU instance is available when you want the model on your path.
Industrial purification engine that repairs rather than discards. Top metrics from small or messy memories.
2 free hot-fixes every month. Feedback → permanent improvement. The engine gets better the longer you use it.
Deploy on our infrastructure or your own. Lightweight ~150 MB engines. Full control when you need it.
Living Engine
Feedback is applied within 24–48 hours and locked into the engine, so the same class of error does not return.
Source · Software / UI domain
Click <ui_btn>Run Diagnostic</ui_btn> to calibrate pressure sensor.
Base engine
~35%
Time-to-Edit
Issues present
Klicken Sie Run Diagnostic um Drucksensor zu kalibrieren.
Tag shielding
~12%
Time-to-Edit
Major errors fixed
Klicken Sie auf <ui_btn>Diagnose ausführen</ui_btn>, um den Drucksensor zu kalibrieren.
Corporate style
<3%
Time-to-Edit
Near-final quality
<ui_btn>Diagnose starten</ui_btn> wählen, um den Drucksensor zu kalibrieren.
Locked in runtime
~0%
Recurring effort
Permanent
UI tags, button glossary and corporate phrasing stay locked in the model. Matching UI strings need virtually no post-editing.
Financial Impact
Modelled residual effort after 2–3 feedback cycles: ~12%. Adjust the numbers to match your reality.
LexaForte residual effort after 2–3 iterations is modelled at ~12% (conservative). Character-to-word ratio: 6 : 1.
Words per month
333,333
Hours saved
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Money saved
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Annual impact (×12)
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Based on ~12% residual PE effort after 2–3 feedback cycles. Real results are frequently even lower.
Transparent Pricing
Pay only for characters you translate. No seats, no platform fees, no surprises.
For teams connecting natively
Via partner platforms or connectors
Onboarding Roadmap
Days 1–3
Bespoke engine for your domain & language pair. Data sterilization + baseline training.
Days 3–7
2–3 targeted performance loops using your feedback. Terminology and style locked in.
Quality sign-off
Final check against your internal benchmarks. Commercial terms aligned.
Production
API keys, endpoint routing, CAT connectors. Continuous improvement begins.
Zero risk. If the engine still misses your quality bar after the improvement loops, you pay nothing.
Bespoke prototype engine delivered within 1–3 business days.
Send your sample files. Receive production-ready translations + full telemetry.