Let's get your data
AI-ready
Sidecar keeps your data platform in shape with agents that watch data quality, metadata and context, tech debt, and cost. So your team can build with confidence.
The foundation
Are you ready for AI? Most teams can't say.
There's no playbook for getting a data platform ready for AI, and no way to measure it. Sidecar defines the dimensions that matter, scores every one, and keeps them in shape.
Data modeling
Models and metrics designed for accurate agent reasoning
Quality evaluations
Tests that measure whether AI outputs stay trustworthy
AI surfaces
Clear decisions for Claude, BI tools, and analyst workflows
Context and retrieval
Versioned context built from lineage, metadata, and usage
Operating standards
Catalog, observability, best practices, and debt controls
How we get there
Ready, then kept ready
Continuous evaluation and enforcement
Forward deployed engineer
Your engineer gets the platform ready. Sidecar keeps it ready.
Your forward deployed engineer evaluates your full data platform, makes the required changes, and tests again until it is ready for AI. They implement Sidecar and remain involved as the platform takes over continuous evaluation and enforcement.
- Evaluate your stack. Using Sidecar's tooling, they evaluate your models, quality, AI surfaces, context, retrieval, and operating standards.
- Fix what needs work. They make the necessary changes, implement Sidecar, and evaluate the tools you already use, including Omni and Hex.
- Evaluate until ready. They repeat the evaluation cycle until your stack meets the standard, then Sidecar continuously monitors and enforces it.
IncludedContinuous upkeep
Agents keep your data platform in shape.
Each job starts with live context and ends with a concrete change your team can review.
Pick a job
Reliability Agent
Reliable data is required for trustworthy AI outputs.
Traces the failure to the upstream change that caused it.
Loading context
PR opened with the fix and a regression test
PR #1183 · #data-eng notified
Or define your own. Every agent category is programmable. Write the job, Sidecar supplies the context.
Context Garage
Every agent needs context. We built the garage for it.
Context Garage is the governed catalog behind your agents. It turns scattered metadata, docs, and tribal knowledge into one versioned context layer, with clear ownership and approval rules. Every Sidecar agent runs on it, and you decide which context each tool is allowed to see.
- Most agents guess because they only see fragments of your stack
- Sidecar builds a structured, version-controlled model of your warehouse, dbt, lineage, and real usage
- You govern what goes in: owners review changes, certify definitions, and control access per tool
- Ship it as a live context repo that is always up-to-date
Agent Console
Run data agents the way you run software.
The Agent Console runs every Sidecar agent against your real stack, with a human in the loop before anything ships. Kick things off from a dbt failure or Slack, and every run follows the standards your engineer put in place.
- Ships with 50+ job templates, and a studio for building your own
- Observe and audit the agent's work in real time: every step and every decision
- Get the outcome the job calls for, whether that's a PR, a draft, or a report
- dbt alerts, Linear, and Slack triggers. Sidecar starts where your team already works.
Bring your own agent. Give it Sidecar's context.
Connect any model or agent framework you already use, and it gets the same structured, always-current understanding of your data platform, with no separate integration to maintain.
Same task, same agent / step 1 of 4
Without Sidecar context
> audit revenue reporting and add tests before Monday's board deck
search_files("revenue") → 412 matches
read_file("models/legacy/rev_v2.sql")
context window 78% full, still guessing
- Tool sprawl and context bloat
- Slow, multi-step reasoning
- High token and compute cost
- Unreliable outputs
With Sidecar context
> audit revenue reporting and add tests before Monday's board deck
garage.resolve("revenue") → 1 certified metric
loaded 3 models, 1 metric def, lineage v42
- Deliberately designed tools, tightly scoped context
- 5x faster reasoning
- 20x less token usage
- Consistently correct
Community
What happens when agents actually work for your data team?
Reduction in warehouse costs
Less maintenance work
Faster onboarding
"In this new era, scrappy companies win. That means not hiring expensive employees unless you absolutely need them. With Sidecar, you can maintain a data stack without a data engineer, and that's exactly what we did!"
"Engineers are expensive, yet too often stuck on repetitive but essential data operations. Sidecar changes that by centralizing monitoring and automating solutions, offloading tedious work from engineers. Organizations save costs, strengthen governance and data quality, and free their engineers to focus on what truly drives the business forward."
"Sidecar is the first platform that addresses the most painful problems data teams face. Organizing, tracking, resolving, and surfacing data products is the fundamental question facing data teams in Enterprise SaaS, and Sidecar makes it painless. It's the essential tool for data teams, especially those using AI."
"As a small data team, Sidecar has been crucial to ensure my team is able to focus on serving the business instead of managing our data platform health."
"Running a lean data team while keeping up with evolving business priorities is no small feat. Sidecar helps us stay focused on the business by reducing time spent managing our stack and enforcing best practices."
"Inheriting a data stack almost always means inheriting tech debt. I used to dedicate entire sprint cycles to deprecating unused tables, creating table/field documentation, and adding data test coverage. With Sidecar, we can eliminate that tech debt quickly and keep it from piling up again."
Integrations
Integrated where you work
Sidecar plugs into the tools your team already uses, so it feels less like software and more like superpowers.
Advanced security - SOC2
Industry-leading encryption ensures that your data is secure and protected from threats.
Built by data people, for data people
We've felt the pain. Sidecar is the tool we wished we'd had.
We find AND fix data problems.
Sidecar delivers value from day one by automating solutions to real workflow pain.
Questions, answered
Still have questions? Start your free trial and we'll answer them live.
Hire Sidecar so your team can focus on what matters
Automate your operations and give every agent context that's actually current.