Sage AI

The AI-Powered Notebook

From raw data to insights—clean, transform, analyze, and build models at the speed of thought.

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I spend more time getting data clean and wired up than testing ideas.

My notebook breaks every time the schema changes.

LLM copilots hallucinate code that doesn’t run.

Your Challenges, Solved with Sage

Sage Fixes the Notebook Grind.

Understands your dataframes, schemas, and code context.

Writes runnable Python (and SQL) you can inspect before execution.

Catches silent data errors early.

Private & local-first so sensitive data never leaves your stack unless you allow it.

Built by Leading AI x Data Experts

Goldman Sachs

Capabilities

What You Can Do in Sage

Clean & Transform Data in Minutes

Ask in plain English; Sage inspects columns, types, nulls, and range issues, then proposes and applies fixes (with code you can review).

Explore & Visualize Instantly

Plot trends, rollups, anomalies, correlations, or custom metrics from a prompt. Interactive tweaks: “log scale,” “filter 2022+,” “group by sector.”

🧠

Model Faster

Prototype ML / stats model libraries and compare performance across splits with auto-generated evaluation cells.

🔍

Context-Aware Code Generation

Sage reads the notebook state, variables, imported libs, and dataframes before writing code—so suggestions fit your environment.

📒

Multi-Notebook & Data Registry

Work on multiples notebooks at the same time. Reference dataframes across notebooks; keep canonical dataset context so Sage stops guessing column intent.

♻️

Automatic Course Correction

If code errors, schema changes, or better planning appears, Sage diagnoses and recommends fixes. Accept, edit, or re-run.

Privacy & Security

Privacy-First Architecture

Run Sage locally or in your VPC.

No data leaves your environment by default.

0 retention from Anthropic (or other cloud LLM) when using your own keys in stateless mode.

Enterprise Isolation

Bring your own LLM endpoints (Anthropic, OpenAI, local open-weights, on-prem HF).

Full telemetry control: off, anonymized, or granular.

Network-restricted / air-gapped deployment options.

Data Boundary Controls

Run Sage locally or in your VPC.

Per-notebook allow/deny which dataframes can be read by the model.

Redaction + sampling modes for sensitive columns.

Audit log of all model-visible data.

Sage AI

Sage: Your AI Assistant for Seamless Data Analysis

Sage's agent mode can complete tasks end to end. It does this quickly, while keeping programmers in the loop. Try it out by clicking AI Chat in the Sidebar.

Capabilities

Why Sage Beats Other AI Tools

Sage

Data-aware: inspects DF shapes, dtypes, NaNs

Notebook-native edits w/ diff + review

Error + schema change recovery

Private / VPC deploy

Built for quant & DS workflows

VS Code / Cursor

Limited inline context

May insert code fragments only

Blind to downstream breakage

Cloud-tethered

General coding

LLMs (Claude / ChatGPT)

Has no real data context

Dumps pseudo-code

Hallucinates results

Cloud-tethered

General chat

Prevents silent join mismatches & type coercion bugs.

Tracks notebook state across cells.

Runs where regulated data lives.

How It Works

Connect or Load Data

CSVs, Parquet, db connection, or API pulls.

Ask What You Need

“Profile missing data,” “merge trades w/ prices,” “fit LSTM vs ARIMA.”

Review & Run

Sage proposes code blocks; you approve, edit, or auto-run. Results feed back into the conversation.

Built for Teams That Live in Data

Who Uses Sage Today:

Quant research (equities, options, crypto).

Data science inside fintech & healthcare analytics.

RevOps / GTM analytics teams wrangling giant CSV exports.

AI research groups teaching from messy student notebooks.

Usage Patterns We See:

Daily data hygiene workflows.

Rapid model bake-offs in R&D sprints.

Debugging legacy notebooks without tribal knowledge.

Teaching: “Show me how to do X in Pandas.”

FAQs

Frequently Asked Questions

How does Sage compare to Jupyter?

Can I use my existing Jupyter notebooks?

Which models does Sage support

Is my data safe?

Does Sage visualize data?

Loved by World-Class Quants & Data Teams

Sage caught a join bug that would’ve cost us a week.

Quant PM

Multi-Strat Fund

Faster than pairing w/ a senior engineer for exploratory work.

Data Lead

Fintech Unicorn

Finally an AI tool I can run inside our data boundary.

Head of Data Platform

Healthcare

Sage

PRODUCT

PRICING

DOCUMENTATION

COMMUNITY

CAREERS

fahim@sagebook.ai

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