Bolt for your role
Bolt and Aeira — the exposure you already have, closed
The exposure you already have, closed
The crux
When someone finally asks "prove it," most AI tools have no honest answer. Bolt and Aeira are built so that answer already exists before anyone has to ask.
Three problems. One root cause.
Every AI strategy conversation eventually collapses into the same three problems. They are not hypothetical. They are the reason procurement stalls, the reason legal blocks rollouts, and the reason the best tool in the building never gets adopted company wide.
Sensitive data crosses a boundary nobody controlled, and when it surfaces later there is no clean record of what happened or who touched it.
Every trivial question gets routed through a model that costs money and adds latency, because the tool has no cheaper tier to fall back to.
The answer lives in Gmail, the context in Jira, the file in Drive — and finding it costs more time than using it will.
When someone asks to see the record
When someone asks "prove it," you have an answer instead of a shrug.
A regulator, a plaintiff's attorney, or your own board will eventually ask where the data went, who saw it, and whether the record could have been altered. Most AI tools have no honest answer. Bolt does.
Trial on a single laptop, or deployed inside your own infrastructure. Where the data lives is never Sparcle's decision to make.
Bring your own LLM and your own key, including a fully local model on your own hardware. Sparcle never sees the traffic.
Names, identifiers, financial and health values are pseudonymized at the moment they would cross into a prompt, even on a public model.
Every audited action is hashed, sealed into a signed chain on a fixed schedule, and independently verifiable offline by an outside auditor.
The tokens you never spend
The tokens you never spend are the ones that never leak.
Most of what people ask a chat assistant does not need a model at all. A currency conversion, a timestamp, a regex, a lookup against a known table: these have exact answers. Sending them to an LLM burns money, adds latency, and hands the model text it never needed to see.
Every request tries the free tiers before it ever reaches a model: on-device recognizers, then your own connected data, then cache.
Point Bolt at a hosted provider, or a model already running on your own machine or GPU cluster. Marginal cost drops to what your hardware costs.
Hundreds of instant operations across thousands of recognized reference values resolve with no network call and no AI call at all.
Twenty systems in, one safe search box out
Twenty systems in, one safe search box out.
Email, calendar, files, tasks, people, chat, code, tools you have not even connected yet. Bolt gives every one of them the same front door, the same boundary, and the same audit trail — reachable from the browser or the desktop launcher wherever your infrastructure already runs.
Native integrations into the productivity suites most companies already run, pulling live, not cached.
A wide, growing catalog of connected tools on a common open protocol — adding one is configuration, not a project.
Bolt exposes its own capabilities the same way, so tools you already use elsewhere can call into it too.
Every connector, every model, every identity provider is a module you can replace. Nothing is a dead end.
Everything you can reach, in one result list
Everything you can reach, in one result list.
The search box reaches further than email and files. Clipboard history, notes, and installed apps are searched on-device, encrypted at rest, the same box, the same governance, no separate tool to open.
Every copy, text and image, encrypted at rest and full-text searchable. Screenshots are OCR'd, so you can find one by the words inside it.
Encrypted at rest, device-local, auditable and crypto-shreddable on request — searchable the same way as everything else.
Find and launch what's on the machine without hunting through a dock or a start menu.
Local machine, network drives and the cloud you signed into with your own identity.
Mark up, redact or crop an image from the clipboard, then hand it off through your own share sheet — nothing routes through Sparcle to get there.
Threads and attachments, live against your provider.
Meetings and attendees, current, not a nightly sync.
Your directory and org graph, permission-filtered per person.
Worth being precise about: clipboard, notes and file search are on-device today. Image similarity search — finding a screenshot by what it visually shows rather than the text inside it — exists as working code but is not switched on in the shipping build yet; OCR-text search on images is live now.
Provisioned like the rest of your stack
Provisioned like the rest of your stack — not a shadow IT problem.
Connecting a new tool to Bolt is an IT decision with an audit trail, not an individual's browser extension nobody signed off on.
IT publishes a catalog of approved integrations with central auth and policy. People pick from what is already approved.
Point it at a REST or OpenAPI endpoint and it is wrapped as a policy-gated action automatically — no SDK, no bespoke integration project.
The same tools Bolt calls out to, it can also expose inward, so agents you already use elsewhere can call into Bolt too.
Users are provisioned and deprovisioned the way the rest of your enterprise stack already works — the day someone leaves, their access leaves with them.
Two engines, one company
Bolt is the surface your workforce touches. Aeira is what regulated search stands on.
For teams where "good enough" retrieval is not good enough, Aeira is Sparcle's air-gapped hybrid search engine, purpose-built for defense, finance, healthcare and federal environments — wrapped in the same audit backbone Bolt uses everywhere else. Bolt gives people speed; Aeira gives the organization certainty that speed never outran permission.
Documents are excluded before ranking ever runs, so what a searcher sees is never a matter of the ranker guessing correctly.
Multiple search signals combine so recall does not collapse to whichever technique happens to be fashionable.
Built to run with no outbound connection at all when that is the requirement, not a flag bolted on later.
The same audit and pseudonymization layer that seals Bolt's action trail seals Aeira's search trail too.
Paste anything. It becomes a workbench.
Paste anything. It becomes a workbench, not a wall of text.
A table becomes rows you can sort, chart and export — a mini spreadsheet with no spreadsheet app required. A log becomes a level breakdown and a top error. A curl command becomes Python. And it chains: pipe one transform into the next like a formula bar for anything you paste.
Trigger it on a schedule, an event, or before the room
Trigger it on a schedule, on an event, or before you walk into the room.
The same governed agent that answers a typed question can be scheduled. Point it at your connected apps and it gathers what it can reach, under the same masking and the same audit trail as everything else. You compose the workflow — Bolt never pretends to write your emails for you.
Cron-style and interval triggers, so recurring prep happens without anyone remembering to ask.
Fire from another system's webhook, signature-verified, so Bolt reacts to what actually happened.
Schedule a run tied to a meeting so the relevant context, pulled only from what you can already see, is ready before it starts.
One product, read differently by every seat
Nobody has to compromise for anybody else.
A scriptable, chainable surface with a real API. Everything is a registry, not a black box.
One number to defend in the board meeting: spend, automation, and exposure surface versus a year ago.
An audit trail independently verifiable by someone who never had to log in. Erasure and SIEM export slot in.
Identity provisioning, role-based access, KMS-backed encryption. You approve the boundary once; Bolt enforces it.
Built for the audit you did not schedule
Built for the audit you did not schedule.
Healthcare, financial services, government and legal all share one pattern: the cost of an incident is not the incident, it is not being able to answer what happened. Bolt and Aeira are built so that answer already exists before anyone has to ask.
PHI pseudonymized before it reaches a model. A reportable exposure becomes a masked, audited, provable non-event.
Every query and action against financial data lands in a tamper-evident, independently verifiable trail auditors can check without trusting you.
Card numbers are recognized and masked on sight, never held in plaintext, never forwarded to a model unmasked.
Erasure is a cryptographic disposal, not a delete statement: the key that could read the data is destroyed, the encrypted bytes and a tamper-evident receipt remain. Retention and erasure duties are satisfied at the same time, by the same construction.
A cryptographic answer, not a shrug
When a regulator, an auditor, or your own board asks what happened, you hand them a cryptographic answer, not a shrug and a support ticket.
Counted from what ships
Counted from what ships, not from what we hope to ship.
Every figure above is computed from the live product registry at build time — the registry the product itself runs on.
Instant when instant is enough
Instant when instant is enough. Governed when it isn't. Provable either way.
See it against your own tools, your own data, your own boundary. No fabricated demo, no sanitized sandbox.
See it on your own data
Bolt runs inside your perimeter, on the LLM you choose.