Lantide Data

Preserve experiential context behind analysis

Experiential context is the final mile that helps agents analyze like a member of your team.

Lantide Data is a local-first AI analysis workspace that keeps Plans, decisions, SQL evidence, reviews, and Reports together so people and agents can inspect, continue, and reuse the work.

Analysis workspace
QuestionExplorationPlanDecisionEvidence
YouWhy did conversion drop last week?

Your agents already have more context than ever. One layer is still missing.

The missing piece that helps agents work with how your team has learned to analyze.

Explore the three kinds of context
AI Agent
Q

Why did retention drop?

Most tools preserve the output. Lantide preserves how you got there.

The output survives. Most of the experience does not.

ReportSQLChat historyHuman memory

The work becomes reusable context.

Analysis ProjectGoalPlanDefinitionsReferenceExecutionSteps / SQL snapshotsReviewReport

Lantide preserves how the analysis evolved, not just how it ended.

See what preserved experience enables

How long analysis keeps its context

Let your choices decide what deserves to stay in context.

In chat, context compression is a general solution from a general agent. Human + AI analysis already has review, execution, verification, and iteration checkpoints. At those moments, Lantide and the agent extract and save context according to your choices—so long-running analysis stays leaner, steadier, and easier to continue.

The same analysis

One conversation drives both context models

1/6
YouWhy did mobile conversion fall?

Confirm the metric and last week’s time range.

Without Lantide

+6k loaded
7kCumulative token usage
Agent active context 6kInput 6k · Output 1k
Illustrative model—not a benchmark
Stored in the active context as
Conversation turn

With Lantide

+5k loaded
7kCumulative token usage
Agent active context 5kInput 5k · Output 2k
Illustrative model—not a benchmark
Saved outside the chat as
Goal

General compression guesses what mattered after the fact. Lantide preserves your choices while the work happens.

General compression guesses what mattered after the fact. Lantide preserves your choices while the work happens.

See how the work creates context

01 / The method

From a question to a rerunnable analysis asset

Explore quickly, then preserve work worth keeping through Plan → review → Execute → Report.

Start with quick exploration, then move into a focused project when you need a reviewable Plan → Report workflow.

1

Quick Analysis

Data exploration and problem framing

2

Project Analysis

Focus a project for deep-dive analysis

Explore the full workflow

02 / In practice

Use Cases

View all use cases →
01

Recurring operations analysis

Carry the Workspace bundle forward, apply the same definitions and SQL, and validate the latest data

02

Reopen an analysis months later

Recover the Plan, full execution snapshots, evidence, and retained source data needed to reproduce the result

03

Handoffs across people or agents

Continue from a portable Workspace and Report-owned delivery pointers without rereading an entire chat history

03 / Questions

FAQ

View all FAQ →
I already use Claude Code or Codex. Do I still need Lantide?

You do not have to replace your preferred Agent. MCP Server lets you keep working in Claude Code or Codex while Lantide retains the Plan, SQL evidence, Report, and Activity for review, metric changes, and handoffs.

Can I reproduce a number from six months ago?

Lantide retains the Executed Plan, full execution snapshots, SQL evidence, Report, Source Run lineage, and Activity. Exact reproduction still requires the original data—or an equivalent retained snapshot—and the same reachable source state.

Where is my data stored?

Workspace data and queries are processed in local DuckDB by default and are not automatically uploaded to Lantide. AI features may send necessary context directly to the model endpoint you configured.

Build your first reusable analysis asset

Download Lantide Data for free and run your first local AI analysis on your own CSV, Excel file, or database.