Private beta · built for enterprise teams

Be your own
quant.

AI’s real return isn’t your people doing their own jobs a little faster. It’s them doing the work they used to hand to someone else. Sidecars gives everyone on your team a real compute environment behind the AI they already use. No install, no code, no ticket. The analysis just happens.

See the loop

Ask. Execute. See. Ask again.

This is how the work gets done now — a loop, not a one-shot. Your team asks, the AI spins up a sidecar and does the real work, the result comes back to check, and they ask the next thing. The data stays loaded, so every answer sharpens the one after it.

Your AI · chat

What was our Q2 revenue growth?

Up 14.2% — computed from the actual ledger. Same answer every run.

The same AI your team already uses

YOUR SIDECAR

Sidecar · Finance

14.2%

Q2 revenue growth · verified

Verified · reusable · the same answer every run.

You askSidecar executesYou see the resultYou ask the next thing ↺

The ROI delta

Two people, the same AI, wildly different returns.

Turns tokens into text

Asks for a summary.
Gets prose.
Pastes it into a deck.
Can’t re-run it next week.

The value evaporates when the chat closes.

Turns tokens into outcomes

Asks for the analysis.
Gets a verified chart.
Keeps the pipeline.
Re-runs it in ninety seconds.

The value compounds every single week.

Today only your coders and quants live in the second column — they can build the environment the AI needs to actually execute. Sidecars puts everyone there, without a line of code.

Same driver, two machines.

One idles in a chat window; one is out on the track. The model didn’t change — the machine you put it in did.

Give everyone on the team a specialist’s toolkit.

Every sidecar is batteries included — a domain’s real tools already installed and configured. Nobody sets anything up. They just ask, and become the specialist they used to have to book time with.

Finance sidecar

Be your own quant.

Pull live market data, run portfolio analysis, backtest a strategy and model risk — no Bloomberg terminal, no line of Python.

Geospatial sidecar

Be your own remote‑sensing analyst.

Work satellite imagery and GIS files, map patterns by location, run spatial statistics — GDAL and the whole stack already installed.

Web sidecar

Be your own social‑listening lead.

Gather data from across the web, monitor how it changes over time, and structure the mess into something you can actually analyze.

ML sidecar

Be your own data scientist.

Train a model on your own data, cluster and classify, make predictions — the libraries are set up and the compute is on tap.

Standard sidecar

…and your everyday analyst, for everything else.

The everyday workhorse — spreadsheets, databases, statistics and charts, ready the moment anyone asks.

Why this doesn’t happen on your team’s laptops.

Every reason an enterprise knowledge worker can’t do this today — and how a sidecar removes it.

Locked-down fleet machines

A sidecar is just a browser tab. Nothing to install, no admin rights, no IT ticket to raise.

Underpowered hardware

Power on tap — far more compute than the machine on the desk, spun up only while the AI is working and gone the moment it’s done.

Nothing installed, no permissions

GDAL, the finance stack, the ML libraries — the fiddly setup that stops most people is already done in the cloud.

Data too big for a chat window

Your AI can’t pull 11GB into context. A sidecar loads it into memory once and interrogates it, question after question, without reloading.

No API keys handed to staff

Connectors keep credentials with IT. Your team uses the data source — they never see the key. Access control stays centralized.

With Sidecars - It’s just a browser tab.

No install, no admin rights, no ticket. Everything else lives in the cloud, behind the AI they already have.

How it works.

Three steps. You only ever do the first one once.

01 · once

Connect once.

One line of setup, done forever. From then on your AI pulls up a sidecar whenever it needs one — you never think about it again.

02 · always

Just ask.

Same AI, same questions — you just say what you want. “Spin up a sidecar and pull six months of transactions, flag anything unusual.” Nothing changes about how you already work.

03 · live

See real results.

Charts render. Tables fill in. The analysis happens while you watch — no tools to learn, nothing to read but the answer.

What people ask it to do.

Be your own investigative data desk

Your time is worth more than this.

A typical analysis costs under a dollar. The Pro subscription costs less than one hour of analyst time.

See pricing

Real workspaces, real results, real fast.

Sidecars is in private beta. Bring a question, some data and your curiosity — you’ll have a verified answer before you finish your coffee.

Be your ownquant.