Use Cases
STEM Reasoning
Expert reasoning must hold at every step. Review derivations, concepts, and conventions across technical domains, then build verified solutions that address the specific errors revealed by the audit.
Where models
fall short
Invalid reasoning steps
A derivation can look convincing while containing one incorrect step. That single error may invalidate a conclusion that otherwise appears well supported.
Concept confusion
Related concepts are easy to conflate. A plausible answer may conceal a misunderstanding that requires domain expertise to identify.
Notation and conventions
Errors in notation or domain conventions can change the meaning of a solution, even when its presentation looks technically fluent.
From diagnosis to improvement
BakeLens
Audit the reasoning chain
- Apply graduate-level review to each reasoning step, examining the path to the answer as well as the final result.
- Distinguish conceptual misunderstandings, procedural mistakes, and notation errors to make the nature of each failure clear.
- Map errors across domains and difficulty levels to identify where silent failures appear most often.
Proof
Create verified expert reasoning
- Provide step-by-step solutions verified by domain PhDs across biology, chemistry, mathematics, medicine, physics, statistics, and finance.
- Annotate the reasoning principle behind each step, so the data explains why a step holds alongside the calculation.
- Develop hard cases around the error patterns uncovered in diagnosis, connecting expert examples to observed gaps in reasoning.
What you get
- Reasoning Audit Report
- A domain-by-domain breakdown of error types, supported by example traces and severity rankings for the failures identified.
- PhD-Verified Datasets
- Step-by-step expert solutions with verification provenance, recording who reviewed the work and why the individual reasoning steps hold.
- Domain-Specific Evaluation Sets
- Problems designed around the model’s identified reasoning errors, giving teams a focused way to evaluate those patterns across technical domains.
Have a use case in mind?
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