Make your data
team feel caught up
The fastest way to deploy agents for any data workflow, backed by a context layer that's always accurate. Go from zero to a working agent in minutes.
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 Jira or Slack, and get results back in the same 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: a PR, a draft, a report — whatever fits
- Jira, Linear, and Slack triggers. Sidecar starts where your team already works.
Forward deployed engineer
A dedicated data engineer, included with the platform
Every Sidecar deployment comes with a forward deployed engineer who embeds with your team, owns onboarding, and keeps maintenance work from piling up.
- Onboarding & setup. Your engineer scopes your stack, wires up Sidecar, and trains your team, so you're productive within days.
- Maintenance off your plate. They handle the unglamorous work: deprecation, test coverage, cost tuning, and documentation, continuously.
- Always the same person. No rotating account managers. You get a dedicated data engineer who learns your business and stack.
IncludedContext Garage
Every agent needs context. We built the garage for it.
Context Garage turns your scattered metadata, docs, and tribal knowledge into one versioned context layer. Every Sidecar agent runs on it, and you can serve it to any tool you use.
- 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
- Ship it as a live context repo that is always up-to-date
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
Five agents. One context layer.
Every agent your data team needs, deployed in one place.
Pick a job to see which agent picks it up, what context it pulls, and what lands at the end.
Pick a job
Reliability Agent
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.
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.
An FAQ just in case you need more context
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.
Start your free trial