Efron

Agent-native data science platform

The fastest way to build and run data science agents in production. LLM reasoning meets specialized ML tooling.

Request access

Why Efron

LLM + ML tooling

Efron understands data, not just writes code. Combines the reasoning capabilities of large language models with purpose-built data science tools—profiling, transformation, feature engineering, training, evaluation.

Full DS workflow

From raw data to deployed model. Efron agents connect to your data warehouse, analyze millions of events, and deliver insights—without pipelines or manual querying.

Auditable decisions

Full lineage from raw data to deployed model. Every transformation, every feature, every training run is logged and reproducible. Built for enterprises that need to explain their models.

Enterprise-ready

Deploy anywhere—cloud, on-premise, hybrid. Use any LLM—OpenAI, Anthropic, or self-hosted. Your data stays in-house. For regulated industries, run fully air-gapped.

Capabilities

Natural language interface

Ask questions like a PM or analyst would. Agent performs SQL, stats, slicing, clustering behind the scenes.

Autopilot mode

Runs recurring analyses automatically. Turns raw data streams into daily insights and recommendations.

One-click deploy

Turn agent logic into scalable, monitored endpoints. Built-in evaluation, monitoring, and versioning.

Any data source

BigQuery, Snowflake, Databricks, PostgreSQL, S3. Connect to your existing data infrastructure.

Agent types

Behavioral UnderstandingTurns raw event streams into diagnoses and recommendations. Identify friction points, explain churn, surface patterns.
Dynamic PersonalizationLearns who responds to what, predicts impact, adjusts interventions. Optimize discounts, trigger upsells.
Creative IntelligenceAnalyzes content and extracts signal from creative libraries. Identify why creatives succeed.
Process AutomationReplaces recurring analytical workflows—with judgment, not templates. Weekly summaries, anomaly detection.
Forecasting CopilotGenerates forward-looking predictions and recommended actions. Forecast revenue, simulate scenarios.

Case study

Mobile Gaming

Predicting 7-day purchases from first 24 hours

High-velocity event streams, micro-seasonalities, and a massive feature selection universe made rapid iteration impossible. Efron tackled the problem in hours that took data science professionals months—with equivalent model quality.

3 months
Human team
→
6 hours
With Efron

Ready to build your first agent?

Get from raw data to production model in days, not months.

Request access