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Programming LMs, not prompting.

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Ship AI AgentsThat Actually Work

Stop guessing with prompts. Our DSPy-powered algorithms learn from your data to systematically improve AI performance — teams see up to 50% accuracy gains.

See how it works →
Before
prompt: "You are a helpful assistant. Please answer the following question accurately and concisely..."
result: accuracy: 47% | latency: 2.1s
After Ginger
optimized: "Given the context below, provide a precise answer. Use chain-of-thought reasoning. Cite sources..."
result: accuracy: 89% | latency: 0.8s

Trusted by AI teams building production systems

50%Average accuracy improvement
10xFaster iteration cycles
75%Less prompt engineering time

The Prompt Engineering Problem

Traditional prompt engineering is broken.

1

Trial and Error Wastes Time

Teams spend weeks manually tweaking prompts. What works today breaks on tomorrow's edge cases.

2

No Way to Measure Progress

Most teams rely on gut feeling, not data. You can't improve what you can't measure.

3

Prompts Don't Scale

A prompt optimized for one example fails on diverse inputs. Manual approaches hit a ceiling fast.

How It Works

Three steps from broken prompts to production-ready AI.

1

Connect Your Data

Upload your evaluation dataset and define success metrics. We handle the rest.

2

Optimize Automatically

Our DSPy-powered GEPA algorithms evolve your prompts through automated mutation and selection.

3

Deploy with Confidence

Ship versioned, tested prompts with measurable improvements tracked in Langfuse.

Everything You Need to Optimize Prompts

A complete platform for systematic prompt improvement.

Automated GEPA Training

Genetic evolution discovers better prompt instructions automatically. Each generation outperforms the last.

Human-in-the-Loop

Rapid expert feedback loops integrated seamlessly into the optimization cycle.

LLM-as-Judge Evaluation

Automated assessments deliver consistent, human-quality feedback at any scale.

Smart Versioning & Tracking

Every iteration is reproducible and trackable. Built for teams that ship.

Results That Speak

0%Average accuracy improvement
0xFaster iteration cycles
0%Less prompt engineering time

Ready to Optimize Your AI?

Join teams already shipping better AI with systematic prompt optimization. No credit card required.

From the Blog

Deep dives on prompt engineering, DSPy optimization, and production AI systems.

How Training and Validation Work in GEPA
Featured

How Training and Validation Work in GEPA

Ish Rajesh Shelley
26 Jan, 2026• 18 min read
gepaoptimizationtrainingvalidationprompt-engineering
Understanding GEPA - Prompt Evolution

Understanding GEPA - Prompt Evolution

Ish Rajesh Shelley
20 Jan, 2026• 12 min read
gepaprompt-evolutionprompt-engineeringoptimizationai
DSPy Optimization Algorithms: Step-by-Step Guide

DSPy Optimization Algorithms: Step-by-Step Guide

Ish Rajesh Shelley
14 Jan, 2026• 15 min read
dspyoptimizationalgorithmsaimachine-learning