Pylon
Prompt evaluation
Prompt iterations rubber-banded: each engineer's fix overcorrected the last. Evals are now a merge requirement—no eval, no commit.
- 10 mins of active debugging eliminated per on-call incident
Rox's judge aligned only 75% with humans. A calibrated evaluator caught name errors in 11% of drafts, enabling 99% accuracy.
A sales productivity platform building autonomous agents designed to perform at the level of top human representatives for enterprise revenue teams.
Off-the-shelf tools could not verify that autonomous agents were generating accurate, brand-aligned emails. An internal judge system aligned only 75%...
“Rox is redefining the revenue stack with our AI-powered sales platform. Off-the-shelf models aren’t capable of delivering the quality we need to ensure our agents are accurately personalizing outbound emails. With Snorkel Evaluate we have been able to confidently assess our outbound email agent, then identify and fix issues to achieve human-level accuracy. The level of visibility and control Snorkel delivers is a huge advantage as we build trustworthy, agentic AI at scale.”
AI revenue agents for enterprise sales and customer lifecycle management.
Data-centric AI platform for programmatic data labeling and model development.
Rox's Model evaluation is part of this use case:
Related implementations across industries and use cases
Prompt iterations rubber-banded: each engineer's fix overcorrected the last. Evals are now a merge requirement—no eval, no commit.
Tracking spend for 300M AI agent runs was a black box. Real-time tracing now lets finance pinpoint costs and update pricing within hours.
Reps lost hours manually assessing leads across disconnected systems. Now, AI agents evaluate intent and instantly route top prospects.
Prompt iterations rubber-banded: each engineer's fix overcorrected the last. Evals are now a merge requirement—no eval, no commit.
Tracking spend for 300M AI agent runs was a black box. Real-time tracing now lets finance pinpoint costs and update pricing within hours.
IR research meant sifting hundreds of SharePoint docs by hand. Now specialized agents route and synthesize it—26% faster, citations sharper.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Rox's judge aligned only 75% with humans. A calibrated evaluator caught name errors in 11% of drafts, enabling 99% accuracy.
A sales productivity platform building autonomous agents designed to perform at the level of top human representatives for enterprise revenue teams.
Off-the-shelf tools could not verify that autonomous agents were generating accurate, brand-aligned emails. An internal judge system aligned only 75%...
“Rox is redefining the revenue stack with our AI-powered sales platform. Off-the-shelf models aren’t capable of delivering the quality we need to ensure our agents are accurately personalizing outbound emails. With Snorkel Evaluate we have been able to confidently assess our outbound email agent, then identify and fix issues to achieve human-level accuracy. The level of visibility and control Snorkel delivers is a huge advantage as we build trustworthy, agentic AI at scale.”
AI revenue agents for enterprise sales and customer lifecycle management.
Data-centric AI platform for programmatic data labeling and model development.
Rox's Model evaluation is part of this use case:
Related implementations across industries and use cases
Prompt iterations rubber-banded: each engineer's fix overcorrected the last. Evals are now a merge requirement—no eval, no commit.
Tracking spend for 300M AI agent runs was a black box. Real-time tracing now lets finance pinpoint costs and update pricing within hours.
Reps lost hours manually assessing leads across disconnected systems. Now, AI agents evaluate intent and instantly route top prospects.
Prompt iterations rubber-banded: each engineer's fix overcorrected the last. Evals are now a merge requirement—no eval, no commit.
Tracking spend for 300M AI agent runs was a black box. Real-time tracing now lets finance pinpoint costs and update pricing within hours.
IR research meant sifting hundreds of SharePoint docs by hand. Now specialized agents route and synthesize it—26% faster, citations sharper.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.