EES
Compare redistributable engine candidates through quantitative benchmarks, blinded human evaluation and license review, preserving reproducible evidence for adoption and replacement decisions.
Product flow
DESIGNED FOR
Organizations that must replace LLM, SLM, STT and TTS engines based on quality, user evaluation and licensing evidence—not cost or demos alone
OUTCOMES
Start with customer change, not a feature list
Verified live-site capabilities and current product sources are reframed around the customer workflow and operating outcome.
Make engine replacement repeatable
Repeat candidate selection, comparison, approval and rollback decisions under one evaluation contract and evidence trail.
Combine metrics with human judgment
Use blinded pairwise reviews by employees and partners to capture naturalness and task fit that metrics alone can miss.
Promote only deployable candidates
Promote only candidates that pass performance, licensing, redistribution and customer-environment constraints.
CAPABILITY SYSTEM
The capabilities that make the product work
These are product-level capabilities customers can adopt and operate—not isolated buttons or controls.
Candidate intake
Register candidates with fixed model revision, provenance, file hashes and execution adapters.
Benchmark runs
Record engine-specific datasets, metrics, hardware and run conditions in a manifest.
Blind pairwise review
Collect preference and task-fit evidence through blinded pairwise comparison.
License review
Review commercial use, redistribution and derivative-work conditions for models, code and data as a separate gate.
Promotion gate
Promote candidates to adoption review only after quantitative, qualitative and rights gates pass.
Decision record
Preserve rationale, exceptions, approvers and rollback boundaries in a reproducible ADR.
OPERATING FLOW
How it works after adoption
- 01
Fix candidates and criteria
First fix the target task, baseline engine, candidate revisions and success criteria.
- 02
Run quantitative and human evaluation
Run same-condition benchmarks and blinded pairwise reviews.
- 03
Review license and deployment
Review redistribution rights and on-premises operating constraints alongside quality results.
- 04
Promote, replace and record
Replace only with approved candidates and record decision, observation and rollback conditions in an ADR.
TRUST & DEPLOYMENT
The operating environment and responsibility boundary are part of the product.
Private-network & on-premises
Run inside customer environments where models and evaluation data cannot be sent outside.
Start with TTS, extend by engine
The initial evaluation path focuses on TTS and extends the same promotion principles to LLM, SLM and STT.
QA-owned gate
Manage engine-replacement evidence through QA review and approval boundaries separate from product-team preference.
VERIFIED SCOPE
Evidence and boundaries behind the public copy
- Three-axis promotion: quantitative benchmark, blinded pairwise review and license due diligence
- Reproducible evaluation with fixed model revisions, file hashes and run conditions
- Replacement decisions and rollback boundaries preserved as ADRs