Wall 01
Our Mission
Reclaim time. Unlock potential.
Sparcle exists for one reason: to give every organization the freedom to use AI on their own terms, without vendor lock-in, without compromising data privacy, and without surrendering control of their intellectual property.
“Your workforce burns ~5 weeks per year reorienting after interruptions.”
Knowledge workers today juggle dozens of applications, losing hours every day to context switching and tool hopping. The same shape of risk hits every enterprise that takes IP seriously: competitive intelligence, proprietary research, customer data, internal strategy. It hits hardest in regulated industries (healthcare, financial services, defense, legal) where sending data to external clouds isn't just a preference. So we built for the hardest case, and the solution fits both.
We believe AI governance, data sovereignty, and employee data privacy are not optional features. They are the foundation. We built Bolt, an enterprise AI operating system, and Aeira, an ACL-aware enterprise index, so every enterprise (from the $10 trillion regulated economy to any organization that takes IP and data seriously) can adopt AI fully, keep compliance in their own hands, and change their underlying model at any time, without their employees noticing, and without their data moving.
What we solve
The three walls every enterprise hits.
The pain is real. The cost is hidden in delayed decisions, wrong answers, and policy violations nobody saw coming.
Wall 02
Your data leaves your perimeter.
Wall 03
Your teams cannot find what they need.
Built & Deployed
Real product. Real metrics.
Production-grade systems deployed today. These numbers reflect running code, real integrations, and a patent-pending architecture.
Security Pipeline Layers
Enterprise Integrations
Always Protected
Time to Deploy
Model-Agnostic by Design
Zero Token Markup
Governance plane
Your organization stays in control.
Define your business rules once. Bolt and Aeira enforce them across every query, every agent, every model, every source.
Dimension 01
Who sees what.
Dimension 02
Which LLM each role uses.
Dimension 03
Which MCP tools are allowed.
Dimension 04
Which agents can run.
Dimension 05
Which sources are in bounds.
Dimension 06
Every change recorded.
The outcome
What buyers, auditors, and your team actually feel.
The launcher pays for itself before AI fires. The trust layer keeps the answer defensible. The audit chain proves it.
Hours
Time reclaimed
Launcher utilities save hours per person per week before AI fires.
- The product earns its keep before the LLM bill starts
Pre-filtered
Cross-role exposure blocked
Aeira's search ACL is a SQL pre-filter with no bypass flag, so unauthorized rows are never read rather than filtered out afterwards.
- The catalog and vector lanes filter after the candidate fetch, so the guarantee is strongest on the path most queries take
Hidden
PII masked at the LLM boundary
Deterministic tokens replace private values in the request before the LLM adapter is invoked; restoration happens on the return path.
- Remembered values go through the same chokepoint on their way into the system prompt, though they are still stored unmasked at rest
- In Mode A and Mode B the prompt stays inside your perimeter; in Mode C the masked form leaves while the unmasked record stays in your audit log
Bounded
Spend contained
20+ utilities and 20+ scopes cost zero tokens.
- AI fires only when reasoning is genuinely needed
Enforced
Your policy applied at runtime
Role, model, and source governance are configured once and applied by the runtime instead of living in a document nobody reads.
- Whether you are compliant is your auditor's determination, never ours; what we give you is the enforcement and the evidence to show them
Sealed
Audit evidence preserved
Tamper-evident Merkle chain ready when the regulator calls.
- No "trust our SOC report."
See Bolt run inside your perimeter on your data.
Schedule a 30-minute technical walkthrough with our team. We'll show you how Bolt and Aeira work with your existing systems, with no slides, just a live demo.