01
Private task suite
We define representative tasks from real workflows, not benchmark theater. The suite can stay private, publish later, or become a repeatable internal regression set.
/ Custom benchmarks and evals
Turn model claims into buyer-grade evidence.
CodeSOTA builds private benchmark suites, agent workflow evals, competitor comparisons, and cost-quality frontiers for AI vendors that need proof stronger than demos.
Decision artifact
12
systems
480
task runs
4
frontiers
What buyers see
A defensible explanation of when your model wins, where it fails, what it costs, and which workflow it should replace first.
winner = max(score, reliability, cost, latency)
report = scores + failures + citations + rerun_harness
report = scores + failures + citations + rerun_harness
Real task data
Source-backed claims
Reproducible harness
Procurement-ready report
/ Evidence stack
Built to answer the question procurement actually asks.
Not just which model scores highest. Which system wins for this workflow, at this price, with these risks, against these alternatives.
02
Model and harness comparison
We compare models, prompts, retrieval, tools, scaffolds, and agent loops separately so buyers can see whether the win comes from the model or the system around it.
03
Cost-quality frontier
Every result is paired with latency, price, operating constraints, and failure modes. The output is a decision surface, not a leaderboard screenshot.
04
Buyer-ready proof
You get a written evidence report, reproducible harness, score tables, method notes, and a narrative your sales team can use without overclaiming.
/ Who it is for
If the result changes a deal, it deserves a real eval.
The strongest use case is a concrete buyer question: prove your system wins for a workflow, not that it looks impressive in a demo.
OCR and document intelligence vendors
Agent builders selling workflow automation
LLM app teams choosing model architecture
Enterprise buyers validating procurement claims
Investors doing technical diligence on AI companies
Labs that need realistic external eval coverage
Vendor proof sprint
For AI vendors that need a credible proof package before a launch, sales motion, or investor update.
from $4k
- 1 target workflow
- 3-6 model or system variants
- Failure-mode analysis
- Evidence memo and scorecard
recommended
Competitive eval package
For teams that need to prove where they win against direct competitors or frontier alternatives.
from $9k
- Private benchmark suite
- Competitor teardown
- Cost-quality frontier
- Buyer-facing report deck
Continuous benchmark program
For vendors and buyers that need a living eval system as models, prompts, and data keep changing.
custom
- Monthly benchmark refresh
- Regression harness
- New-model watchlist
- Decision API integration
/ Method
From vague claim to reproducible decision.
Input
Task definition, candidate systems, constraints, buyer question
Data
Private samples, public benchmarks, papers, docs, failure examples
Run
Models, prompts, tools, harnesses, graders, cost and latency tracking
Output
Score tables, frontier charts, failure analysis, recommendation, report
/ Final CTA
Need a benchmark buyers will trust?
Send the workflow, the buyer question, and the systems you want compared. We will propose the smallest credible benchmark package that can answer it.
Brief template
- What workflow should the benchmark represent?
- Which models, products, or agent harnesses should be compared?
- What does a real win mean: quality, price, latency, safety, reliability, or sales proof?
- Should the final evidence stay private, become a public report, or feed the CodeSOTA registry?