Bolt, in plain language
Every AI shortcut your team takes has a hidden bill.
Every day, small tasks get done the fastest way, pasted into a cloud chatbot. And each one quietly costs you: data that leaves your control, tokens you never needed to spend, compliance you cannot prove later, and the time and focus you do not get back. Bolt gives your team that same speed with none of the bill. The everyday tasks run inside your boundary, most with no model at all, and confidential data is masked before anything leaves.
Or jump to what it means for your org, by role →
A day in the life
The same morning, and what it quietly costs.
Nothing here is exotic; it is an ordinary knowledge worker's day. But look at what each shortcut spends. With Bolt, every task stays in one keystroke, on your machine.
=stats reads the numbers, on-device.=diff shows exactly what changed, on-device.The work was always the point. The tax was everything around it. Bolt deletes the tax.
“Your workforce burns ~5 weeks per year reorienting after interruptions.”
What Bolt actually is
It brings the thinking to where your work already is.
Every AI tool you know sends your work out to someone else's computer to think about it. Bolt keeps it inside your control. And most of the time, it does not need an AI model at all.
Restraint
The Copilot question
Same pipe, opposite direction for your data.
You already have Copilot connected to Jira over MCP. Connecting is table stakes; everyone does it. The difference is which way your data flows through the pipe, and whether it needs a model at all.
Copilot + MCP
Connects to Jira by shipping your Jira out
Ticket contents travel to a vendor's cloud to be processed, and "what's in my Jira?" is a billed model call every time.
Bolt
Connects to Jira by bringing the AI to it
=jira is a deterministic lookup rendered in the launcher, no model, zero tokens. Identifiers are masked before any model is involved, and you pick the model.
Copilot connects to Jira by shipping your Jira to Microsoft. Bolt connects to Jira by bringing the AI to your Jira. And most of the day, decode, reformat, diff, calculate, needs no model at all: zero tokens, nothing to paste out.
Find your Tuesday
Whatever your job is, it shows up here.
Each of these is a task people do today by pasting into a cloud tool. Every one Bolt absorbs locally is a leak that never happens and a token you never paid for.
Developer
All rendered in the launcher, no model, zero tokens.
- Decode a JWT offline
- Diff two configs
- Redact a stack trace before it hits a ticket
- Pull your Jira issues with =jira
Everyday work
- Reformat a messy CSV
- Read a spreadsheet with =stats (spread, mean, median)
- Get a timezone planner and overlap in one keystroke
Security and IT
The shadow-AI paste leak is your KPI.
- Bolt is the sanctioned local alternative that removes the reason to paste
- A paste-guard that warns or redacts on AI sites
Legal and compliance
- Redact before any external paste of a contract excerpt or client detail
- Court-day date math and contract diffs, all on-device
Finance
Runway, burn, and growth math on numbers too sensitive for ChatGPT, computed on your own machine, never pasted out.
Leaders
- Board-call timezone overlap and quick growth math without ever breaking flow
- A workforce using AI you can actually account for
One app instead of a stack
The things you'd buy separately, and keep adding as you grow.
These are not extras bolted onto an AI tool. They are the steps your data passes through before any model sees it: the clipboard, the screen, the browser, the prompt. Most teams license them from several vendors; Bolt puts them in one app, out of the box. Already standardized on 1Password, Bitwarden, or Chrome? Keep them. Bolt works with your vault and brings its extension to your browser.
- Password and secrets access
- Secure notes
- Clipboard history
- Secure sharing
- DLP paste-guard
- Permission-safe search
- Governed AI assistant
- and more, added by config, not another vendor
One app
Self-hosted, inside your walls. One grammar to learn, one bill instead of a stack that adds up fast across an org.
For decision-makers
What this means for your org, not just your Tuesday.
The same product, read in your unit of decision: risk you can prove, money you can count, a stack you can standardize, a workforce you can enable.
CISO: provable control, not just policy
You can show what your people did with AI, not assert it.
- PII masked at the model boundary on every call
- A model privacy floor no user can loosen
- DLP policy pushed to the whole fleet
- A tamper-evident audit chain you verify yourself
CFO: the math, made explicit
$30 a seat versus $44 to $52 all-in for Copilot plus its M365 base.
- One app instead of a stack of separate subscriptions
- Zero token markup, and most tasks use no model at all
- Set against the cost of a single leak: an average breach runs $4.44M (IBM, 2025)
CIO: fits your stack, no lock-in
One app to standardize on and govern from one console.
- Deploys inside your perimeter (Helm, Docker, or air-gapped)
- Brings your own LLM and swaps it anytime
- SSO and SCIM for identity
- Sits alongside M365 or Workspace rather than replacing it
CEO: enable the whole workforce, safely
Your people are already using AI on sensitive work.
- Bolt gives everyone a fast, sanctioned alternative that keeps data inside your boundary
- You get the productivity without the exposure
- A story you can defend to a customer, a regulator, or the board
Govern once
Set the rules once, and answers that respect who you are.
Govern once, push to the fleet
Define the boundary once; it survives the model swap and the staff change.
- Your org defines what counts as sensitive (custom patterns masked at the model boundary)
- Admins set the DLP mode, the AI sites it covers, and a model privacy floor no user can loosen
- Pushed as managed policy across every browser and locked
Company search that respects who you are (Aeira)
Why Bolt, and why now
Models will change. Vendors will change. Your governance shouldn't have to.
The model you pick today will not be the model you run in two years. Bolt is the control layer that sits around your AI and your systems: the boundary, the masking, the rules, and the audit trail you define once, and they carry across every model and vendor you swap underneath. You are not betting on a model. You are building the governance that outlives it.
Swap your stack without rewriting your governance.
Try it on your own machine, today.
Free for individuals, runs locally, nothing to configure. See how many trips out of the app simply stop happening.
Bolt is self-hosted; Sparcle operates no cloud that receives your data. You define the boundary and choose your LLM.